Category: Game Analysis

How to analyze your games and learn from your patterns.

  • How to Stop Blundering in Chess: The 3-Second Pre-Move Routine That Cuts Tactical Losses in Half

    How to Stop Blundering in Chess: The 3-Second Pre-Move Routine That Cuts Tactical Losses in Half

    Ask any club player what cost them their last 50 rating points and the answer is almost never “I misplayed a Nimzo-Indian middlegame.” It is some version of “I hung a piece.” Blunders — single-move tactical losses — account for the majority of decisive results below 2000, and they are the single biggest reason rating curves stall. The frustrating part is that most blunders are not knowledge problems. They are process problems. The player saw the threat once, then talked themselves out of it three moves later.

    This guide is a working anti-blunder system: how blunders actually happen by rating band, a 3-second pre-move routine that fits into a 5+0 game, and a 14-day drill that retrains the reflex without burning out your study time. None of this requires more tactics puzzles. It requires fewer, used better.

    What Counts as a Blunder (and Why Most Players Misdiagnose Theirs)

    Engines define a blunder as a move that drops 300+ centipawns of evaluation. Useful for software, misleading for humans. From a coaching standpoint a blunder has three fingerprints worth knowing apart, because each one needs a different fix.

    The first is the sight blunder: you genuinely did not see the threat. The piece, the square, or the geometric pattern was not in your visual field. The second is the override blunder: you saw the threat, evaluated it, and then convinced yourself it would not work — usually because you were already committed to a plan. The third is the time blunder: you saw it, knew it, and moved before you finished checking. These three look identical on the scoresheet and require entirely different countermeasures. Lumping them together is the reason “just slow down” advice fails for most players.

    The Real Causes of Blunders by Rating Band

    Below 1200: Pattern Recognition Gaps

    At this level the dominant failure mode is the sight blunder. Players miss undefended pieces, back-rank weaknesses, and one-move forks not because they were careless but because the pattern has not been internalized yet. The fix here is not a checklist — it is volume. Two hundred mate-in-one and mate-in-two puzzles per week, done slowly and out loud, do more for blunder rate than any process trick.

    1200 to 1700: Premove Bias and Pattern Lockout

    This is where most blunders shift from sight to override. The player sees a candidate move, gets emotionally attached to it, and stops re-checking. Premove bias is brutal in online play: you have already half-committed to a recapture or a queen lift before your opponent finishes their move. Pattern lockout is its cousin — once your brain labels a position “winning attack” it suppresses warning signs that contradict that label. Most 1500-rated players blunder because they were sure they were winning, not because they missed a tactic in isolation.

    1700+: Calculation Truncation

    Stronger players rarely miss one-move threats. Their blunders come from calculating four moves deep and stopping one move too early — usually right before the opponent’s quiet retreat that turns the whole sequence around. Calculation truncation is a discipline issue, not a vision issue, and it responds well to the kind of post-game tagging we describe in our diagnostic game analysis method.

    The 3-Second Pre-Move Check: The A.C.T. Routine

    Most pre-move checklists fail because they have eight items. By move 25, with two minutes on the clock, no one is running an eight-step protocol. The routine below is built to fit into the natural pause between deciding on a move and clicking it. It has three items. Train it for two weeks and it becomes automatic.

    A — Attackers and Defenders

    Look at the destination square of the move you are about to play. Count attackers on it. Count defenders. If the count is wrong, abort. This single check eliminates roughly 60% of override blunders in the 1200–1800 range because the most common pattern is moving a piece to a square that is one defender short — a square your brain labeled “safe” three moves ago when it actually was.

    C — Checks, Captures, Threats (Their Side)

    Before clicking, look at every check, capture, and threat your opponent has after your intended move. Not before. The shift in board state matters: pieces you are moving create new pins, new discovered attacks, and new mating geometries. Walk the opponent’s forcing moves left to right across the board. Three seconds, no exceptions.

    T — Trade-Off Glance

    Ask one question: “What does this move stop being able to do?” Every move is also a non-move. The piece you advanced is no longer defending the square it just left. The square you vacated is now available to the opponent. Override blunders frequently come from forgetting what the moved piece was already doing. A two-second glance at the origin square catches almost all of them.

    A.C.T. takes about three seconds with practice and roughly twelve seconds when you first start using it. That is the right tradeoff. Below 1900, you will gain more rating from cutting blunders by half than from any opening study you could do in the same hours — and time pressure becomes a real problem only after you have automated it. If you are losing on time consistently, see our framework for rating-specific chess time management before you remove the check.

    Why “Just Slow Down” Advice Fails

    Slowing down without changing what you do during the extra time does not help. Players who add 20 seconds per move but spend it re-confirming the move they already wanted to play blunder at the same rate. The mental energy went into reinforcement, not verification. This is the override blunder in slow motion.

    The fix is structured looking, not longer looking. A.C.T. works because each step forces your attention onto a part of the board you were not already looking at. Attackers and defenders shifts focus to the destination square. Checks-captures-threats shifts to the opponent’s pieces. The trade-off glance shifts back to the origin square. Three forced perspective shifts in three seconds. Compare that to “looking harder” at the move you already chose, which is just confirmation bias with a clock attached.

    A 14-Day Anti-Blunder Drill

    The point of the drill is to install A.C.T. as a reflex, not to learn it intellectually. Knowing the routine and using it under tournament pressure are completely different skills.

    For days 1 through 4, play three 15+10 games per day with A.C.T. spoken aloud before every move. Yes, out loud. The verbalization is the entire point: it surfaces the moves where you skipped a step. Expect your time per move to roughly double. Expect your blunder rate to drop 30–50% immediately, even before the habit is automatic.

    For days 5 through 9, drop the speech but keep the routine. Play 10+5 games. Tag every blunder in post-game review with which letter of A.C.T. you skipped. Most players find a clear pattern — usually they skip C (opponent’s responses) when they feel they are winning, or skip T (trade-off) when calculating a forced sequence. Knowing your skip pattern is more valuable than knowing the routine itself.

    For days 10 through 14, mix in 5+3 games at one per day to test the reflex under time pressure. Continue tagging. By day 14 the routine should be automatic on the time controls you played at days 1–4, and your blunder rate at the faster controls should be approaching your slow-game rate from before the drill.

    When to Bring in Engine Analysis

    Engines are useful for blunder work, but only if you use them as classifiers rather than oracles. After each game, run it through Stockfish, find every move flagged as a blunder, and assign each one a label: sight, override, or time. Do not look at the engine’s recommended line first. The goal is not to learn what the right move was — it is to identify which of your processes failed. Our guide on reading engine analysis like a coach walks through this in more depth.

    After two weeks of tagging, you will have data. If 70% of your blunders are override blunders in winning positions, no number of tactics puzzles will fix you — A.C.T. will. If 70% are sight blunders, the drill above is not your highest-leverage move and you should be doing 50 puzzles a day instead.

    Where This Fits Into a Broader Improvement Plan

    Anti-blunder work pairs naturally with the rest of the improvement stack. If you are stuck under 1500 specifically, the diagnosis we lay out in breaking the 1500 plateau usually shows that blunder rate, not opening knowledge, is the binding constraint. Once A.C.T. is automatic, the next leverage point is usually calculation depth, which we cover in our calculation training framework.

    If you want a fully personalized version of this — drills weighted to your specific blunder fingerprint, targeted to your archetype, and sequenced around your available study hours — our $14.99 MyChessPlan personalized improvement plan builds it for you from a 10-minute questionnaire and a sample of your recent games. For a free starting point, the archetype report will tell you which of the three blunder fingerprints is most likely yours based on your playing style.

    Frequently Asked Questions

    What is the fastest way to stop blundering in chess?

    The fastest measurable improvement comes from a structured pre-move check applied consistently for two weeks, not from more puzzles. The A.C.T. routine — attackers and defenders, opponent’s checks and captures, trade-off glance — cuts blunder rates 30–50% within days because it targets override blunders, which are the largest category between 1200 and 1900.

    Why do I keep blundering even after doing thousands of tactics puzzles?

    Tactics puzzles train pattern recognition in isolation, which fixes sight blunders. They do not train pre-move discipline, which is what causes override blunders. If you can solve 1800-rated puzzles but blunder in 1500-rated games, your bottleneck is process, not pattern knowledge, and additional puzzles will not move the needle.

    Does playing slower time controls reduce blunders?

    Only if you change what you do with the extra time. Players who add seconds per move but spend them confirming their intended move blunder at similar rates. Slower controls help when paired with a structured pre-move check that forces attention onto squares you were not already looking at.

    How long does it take to install an anti-blunder routine?

    Most players reach automaticity in 10–14 days of deliberate practice — three games per day with the routine verbalized for the first four days, then mixed faster time controls. Blunder rates typically drop measurably within the first three days; the remaining time is consolidation.

  • How to Read Chess Engine Analysis Like a Coach: Turning Centipawn Loss Into Real Improvement

    How to Read Chess Engine Analysis Like a Coach: Turning Centipawn Loss Into Real Improvement

    Every chess player who clicks “Computer Analysis” on Lichess or Chess.com sees the same thing: a row of green, yellow, and red dots, an accuracy percentage, and a centipawn loss number. Most players glance at it, feel either smug or defeated, and close the tab. They miss the actual point of the analysis entirely.

    Engine output is not feedback. It is raw data. A coach turns that data into a diagnosis. The difference between players who improve from engine review and players who don’t is not the engine they use — it is the framework they apply to what the engine spits out. This post is that framework.

    Why Raw Engine Numbers Mislead Most Players

    Stockfish 16 evaluates positions with near-perfect accuracy at depth 20+. That is precisely the problem. It judges your moves against a standard no human will ever match, then condenses the verdict into a single number — centipawn loss — that hides almost everything useful about why the move was bad.

    A player who loses 80 centipawns by missing a 14-move tactical sequence has made a categorically different mistake than a player who loses 80 centipawns by playing the wrong pawn break in a closed position. The engine prints the same number. The first mistake is unfixable for a 1400. The second is the single most important thing that player needs to learn this month.

    This is why we have an entire post on how engine analysis differs from coaching — and why simply running games through Stockfish does not produce improvement on its own.

    The Three Layers of Engine Output

    Every modern chess engine report contains three layers of data. Players who improve learn to read them in a specific order, weighted by what is actionable.

    Layer 1: Move Classifications (Blunders, Mistakes, Inaccuracies)

    These are the colored dots. Chess.com and Lichess use slightly different thresholds, but the standard is roughly:

    • Inaccuracy: 50–100 centipawns lost (a noticeable error, but the position is still playable)
    • Mistake: 100–300 centipawns lost (a real positional or tactical concession)
    • Blunder: 300+ centipawns lost (a game-changing error)

    This is the most overrated layer of the report. Players obsess over their blunder count and ignore that where in the game the blunders happened matters far more than how many there were. Five inaccuracies in the opening phase from the same player almost always indicate a single recurring repertoire gap — not five separate problems.

    Layer 2: Centipawn Loss and Accuracy Percentage

    The “accuracy” score most platforms display (e.g. 87.3%) is derived from average centipawn loss per move. It is a useful comparison metric across your own games at the same time control. It is nearly worthless as a comparison against other players.

    Here is the rule that actually matters: your accuracy should be roughly stable across game phases. A player whose accuracy is 92% in the opening, 76% in the middlegame, and 81% in the endgame has just diagnosed themselves. The middlegame is where their skill drops off. That is the training target — not “play fewer blunders.”

    Layer 3: Evaluation Swings (The Layer Almost Nobody Reads)

    This is the most important layer and the one no platform highlights well. It is the graph of how the evaluation changed throughout the game. The pattern of swings — not the individual values — tells you what kind of player you are.

    Three common patterns:

    • Sawtooth: Evaluation oscillates wildly between +2 and −2. Indicates poor risk assessment and impatient play. Common in attackers who push positions before they are ready.
    • Cliff: Evaluation holds steady for 20+ moves, then drops sharply once. Indicates a knowledge gap (usually endgame or transition into a specific structure). Common in well-prepared defenders.
    • Slow leak: Evaluation declines by 30–50 centipawns every few moves with no single bad move. Indicates strategic drift — the player does not have a plan. Most common pattern at 1200–1600.

    This is the diagnostic information a coach extracts in five seconds and most players never see.

    A Coach’s Three-Question Framework

    When a strong coach reviews an engine report, they ask three questions in order. You should ask the same three.

    Question 1: Where Does My Accuracy Drop?

    Open the move-by-move centipawn loss graph. Identify the phase (opening, early middlegame, late middlegame, endgame) where your accuracy is consistently lowest across your last 10 games. That is your training target for the next month. Not the blunder in move 34 of last night’s game.

    Question 2: Are My Mistakes Tactical or Strategic?

    Look at the engine’s recommended move in each flagged position. If the engine’s suggestion is a forcing sequence (a capture, check, or threat that wins material), your error was tactical — you missed calculation. If the engine’s suggestion is a quiet positional move (a pawn break, piece reroute, or prophylactic move), your error was strategic — you misread the position.

    This single distinction determines your entire study plan. Tactical mistakes are fixed by puzzle work. Strategic mistakes are fixed by studying annotated master games in similar structures. Our framework on calculation training covers the first case in depth.

    Question 3: Is This Move a Pattern or a One-Off?

    A single blunder is noise. The same type of mistake across three games is signal. Before you “fix” anything, check whether the same kind of position has tripped you up before. The engine cannot do this for you. You do it manually by scanning your last 5–10 game reports for the same diagnostic flag in Question 2.

    Most rating plateaus are caused by a single recurring weakness that the player never identified as a pattern because they reviewed each game in isolation. Our diagnostic method post walks through how to maintain this pattern log.

    Three Common Misreads That Waste Your Study Time

    Even with the framework above, players consistently misuse engine output in three ways.

    Misread 1: Treating “Best Move” as the Lesson

    The engine’s top move is often a computer move — a line that requires 8 moves of perfect calculation that you will never reproduce. Don’t memorize it. Instead, look at the engine’s second and third choices. Those are usually the moves a human coach would have recommended, and they teach the underlying idea without requiring engine-level calculation.

    Misread 2: Trusting the Opening Evaluation

    Engines evaluate opening positions based on a long-horizon search that does not reflect practical playability. A line evaluated at −0.3 may be the most testing line for your opponent. A line evaluated at +0.2 may be a dry equality you cannot win. Use a database (Lichess opening explorer) for opening decisions, not raw engine evaluations.

    Misread 3: Reviewing Won Games Less Carefully Than Lost Ones

    This is the single most common mistake at 1500–1800. Players review their losses obsessively and skim their wins. But the engine often reveals that a “won” game was actually lost on move 18 — the opponent simply blundered later. Reviewing wins is how you find your real weaknesses before your rating starts to reflect them.

    How This Connects to Your Playing Style

    The patterns above are not random — they correlate strongly with playing style. Attackers consistently show sawtooth evaluation graphs. Defenders show cliffs. Strategists show slow leaks. Tacticians show clean accuracy with occasional huge swings on missed combinations.

    This is why a generic “review your games with Stockfish” recommendation produces such inconsistent results. The same data means different things depending on what kind of player is generating it. If you have not yet identified your archetype, our chess archetypes guide is the place to start — it determines which engine patterns are diagnostic for you and which are just noise.

    From Diagnosis to Plan

    Reading engine analysis correctly gets you a diagnosis. Turning that diagnosis into a training plan is a separate skill. A diagnosis says “your middlegame accuracy drops 16% versus your opening.” A plan says “spend 20 minutes per day for 3 weeks on prophylactic thinking drills in IQP positions, then re-measure.”

    If you want this done for you — a full diagnostic on your last 50 games, an archetype assessment, and a 30-day training plan calibrated to your specific weaknesses — that is exactly what the $14.99 MyChessPlan personalized improvement plan produces. It is the same workflow a $150-per-hour coach uses, automated against your real game data. You can also get a free archetype report first if you want to see the framework before committing.

    Frequently Asked Questions

    What is a good average centipawn loss for my rating?

    Roughly: 1000 rated ≈ 60–80 ACPL, 1500 rated ≈ 35–50 ACPL, 2000 rated ≈ 20–30 ACPL. But comparing your ACPL across different opponents and time controls is misleading. Use your own historical ACPL as the benchmark, not other players’.

    Should I use Stockfish, Leela, or Chess.com’s engine?

    At depth 18+, all three give equivalent verdicts on practical mistakes below master level. Use whichever is convenient. The engine is not the limiting factor in your improvement — the interpretation is.

    How many games per week should I analyze?

    Two to four, deeply, beats ten games skimmed. Pattern recognition across your last 10 games matters more than depth on any single game. Block 30 minutes per analysis session and stop when you have identified one actionable pattern.

    Does engine analysis still work for opening preparation?

    Only when combined with a master games database. Pure engine prep produces theoretically sound lines that are practically unfamiliar. Use the engine to validate the candidate moves a strong player would consider, not to generate them.

  • How to Break Through the 1500 Chess Rating Plateau: The Three Hidden Skill Gaps Stopping Intermediate Players

    How to Break Through the 1500 Chess Rating Plateau: The Three Hidden Skill Gaps Stopping Intermediate Players

    Most players who reach the 1500 rating mark expect to keep climbing at the same pace that carried them through their first thousand points. Instead, they hit a wall. Games that used to feel winnable now end in slow grinding losses. Sharp tactics that once worked are getting refuted. The same openings that delivered a fast start now produce middlegames where the position feels uncomfortable for reasons that are hard to name. If you are stuck in this band, the problem is rarely effort. It is almost always a mismatch between the skills you trained to get to 1500 and the skills the next 300 rating points demand.

    This guide breaks down the three specific skill gaps that hold most intermediate players back, the psychological traps that make the plateau feel permanent, and a practical study sequence to break through. It is written for chess.com and Lichess players in the 1400 to 1700 range who want a diagnostic approach rather than another generic improvement listicle.

    Why the 1500 Plateau Is Different From Earlier Rating Jumps

    Climbing from 800 to 1500 is mostly about eliminating blunders and learning to spot one and two move tactics. The improvement curve is steep because opponents at those ratings make frequent free gifts. Above 1500, opponents stop hanging pieces. They follow opening principles. They notice your threats. The path to higher ratings now requires generating advantages where none are obvious, converting small edges into wins, and avoiding subtle mistakes that earlier opponents never punished.

    Three patterns appear in nearly every stuck 1500 player who reviews their losses honestly. Each one is a different skill gap, and each one responds to different training. Treating all three the same way is why so many players spend years bouncing between 1450 and 1580 without real progress.

    Skill Gap One: Endgame Technique Below Master Threshold

    The first gap is the one most players underestimate. Below 1500, games typically end in the middlegame because someone hangs a piece or walks into a mating net. Above 1500, more games reach simplified positions, and the player who knows what those positions actually require wins them.

    Players stuck at this rating routinely misplay king and pawn endgames, fail to find the right plan in rook endgames with passed pawns, and panic in positions where a draw is the correct objective evaluation but they push for a win and lose. The fix is not to memorize every theoretical endgame in existence. It is to learn the small set of endings that decide most practical games.

    Concretely, that means king and pawn opposition, the Lucena and Philidor positions in rook endgames, basic queen versus pawn technique, and same color bishop endings with one extra pawn. Twenty to thirty minutes per study session for two months on these specific patterns will produce more rating points than the same time spent on opening theory.

    For a deeper diagnostic of which endgames your specific game history reveals as weak spots, the approach in How to Analyze Your Own Chess Games works particularly well when you filter by move count and look only at games that ended after move forty.

    Skill Gap Two: Calculation Discipline Under Time Pressure

    The second gap is calculation, but not in the way most players think. Intermediate players often calculate plenty of variations. They calculate too many, too shallowly, in positions where evaluation matters more than depth. They also abandon calculation entirely when their clock drops below five minutes, switching to pattern recognition that has not been trained well enough to substitute for real thinking.

    The training response is to build two habits in parallel. First, learn to identify the three or four candidate moves in a position before calculating any of them. Most stuck players calculate the first move that catches their eye, get lost in a long line, and never look at the move that would have actually won. Second, practice in rapid time controls where the clock is short enough to feel pressure but long enough to actually think. Bullet chess does not build calculation. Five plus three or ten plus zero does.

    The framework in How to Calculate Chess Variations covers the candidate move selection process in detail, and pairs well with daily puzzle work that focuses on five to eight move sequences rather than two move shots.

    Skill Gap Three: Strategic Pattern Library

    The third gap is the hardest to measure and the slowest to fill. Above 1500, opponents are no longer giving you free tactics every fifteen moves. You need to create the conditions for tactics by accumulating small positional advantages. That requires a library of strategic patterns that lets you recognize, in a single glance, when a position calls for a minority attack, when to trade pieces to exploit a space advantage, when to keep tension and when to release it.

    This is also where most rating band guides give bad advice. Reading a book on positional chess from cover to cover is not how patterns enter your long term memory. Repeated exposure to the same theme in different contexts is. The most efficient path is to pick one strategic theme per month, watch three or four annotated master games featuring that theme, and then deliberately steer your own games toward positions where the theme applies, even if it means accepting slightly worse openings.

    The Psychology of Being Stuck at 1500

    The skill gaps are only half of the plateau. The other half is mental. Players who have stagnated at the same rating for more than three months develop predictable thought patterns that make improvement harder. Recognizing these patterns is the first step in defusing them.

    The most common is what coaches call rating anxiety. Every game becomes a referendum on whether you are really an improving player or a permanent 1500. When the position gets sharp, you start playing not to lose rating points rather than playing to win. You decline reasonable sacrifices, you accept early draws in better positions, and you switch to ultra safe openings that never produce winning chances. The rating then drifts down, confirming the fear, and the cycle accelerates.

    The second pattern is tilt management failure. Three losses in a row at higher ratings hurts more than ten losses in a row at lower ratings, because each game took longer and felt more invested. Players continue playing while tilted, lose more games, and end the session lower than they started. The countermeasure is a hard rule: after two consecutive losses where you felt frustrated, stop for at least four hours. The discipline to enforce that rule is worth more rating points than any opening preparation.

    The third pattern is study avoidance disguised as study. Watching chess streamers, scrolling chess social media, and reading opening surveys feels like improvement work but produces almost no skill transfer. Genuine study is uncomfortable. If your study sessions consistently feel pleasant, you are probably not training the skills that would actually move your rating.

    A Twelve Week Plan to Break Through

    The following sequence is structured to address all three skill gaps in parallel while building the mental habits that keep gains from evaporating. It assumes about forty five minutes per day, five days per week.

    Weeks one through four focus on endgame fundamentals. Twenty minutes per day on theoretical endings using a chess.com endgame trainer or Lichess practice, twenty minutes on tactics in the four to six move range, and five minutes reviewing the candidate move habit before any tactics work. Play three rapid games per week with full post game review.

    Weeks five through eight shift toward strategic patterns. Pick one theme such as outposts on open files or minority attacks. Watch three annotated master games on that theme each week. Reduce endgame work to ten minutes per day but continue daily. Increase rapid games to four per week, and explicitly try to apply the weekly theme.

    Weeks nine through twelve consolidate. Keep the rotation but add weekly classical games when possible, where you have at least fifteen minutes per side. Most stuck 1500 players have never played serious classical games. Their pattern library is built almost entirely on rapid and blitz reflexes, which is exactly why subtle middlegame play feels foreign to them.

    To match this plan to your specific playing style and avoid wasting effort on patterns that do not fit how you actually play, the free archetype report on MyChessPlan will identify whether you should weight your study toward attacking, defensive, or strategic content. Players who match the right archetype to their training typically see plateau breakthroughs in eight to ten weeks instead of dragging the process out for years.

    What Progress Actually Looks Like

    Real plateau breakthroughs almost never look like steady ten point gains week over week. They look like several weeks of flat ratings while skills are quietly improving, then a sudden burst of twenty to forty rating points in a week as the new skills start showing up in games. If you have been training seriously for six weeks and your rating has not moved, that is not failure. That is the normal shape of the curve at this level. The mistake is to abandon the program at week six and start over with something new.

    Track skill metrics, not just rating. How often are you finding the engine top move in your post game review? How often are you reaching move thirty in playable positions? How often do you lose because of an endgame mistake versus a middlegame blunder? These numbers tell you whether the underlying skills are improving, even when the rating number lags.

    Frequently Asked Questions

    How long does it usually take to break through the 1500 chess plateau?

    With focused training that addresses the three core skill gaps, most players see meaningful progress within eight to twelve weeks. The exact timeline depends on starting weaknesses, time invested per day, and how disciplined the player is about avoiding tilted play. Players who only play blitz and never study tend to remain stuck for years regardless of total hours played.

    Should I focus on openings to get past 1500?

    No. Opening preparation is the most overrated improvement lever for intermediate players. By 1500 you already know enough opening theory to reach a playable middlegame in nearly every game. The rating gains from learning new opening lines are tiny compared to the gains from endgame technique and middlegame patterns. Spend no more than fifteen percent of your study time on openings.

    Is it better to play more games or study more when stuck at 1500?

    Neither extreme works. Players who only play stop improving because they never absorb new patterns. Players who only study stop improving because they never test patterns under pressure. A ratio of roughly sixty percent focused study and forty percent rated games with post game review produces the fastest progress for most players in this rating band.

    Why do I feel like I am getting worse even when I study?

    This usually reflects a temporary disruption of old habits before new ones become automatic. When you start consciously calculating candidate moves instead of playing your first instinct, you will play slower, run lower on time, and sometimes lose games you would previously have won. The dip typically lasts two to four weeks before the new habit becomes faster than the old one. Most players quit during this dip, which is why so few break through.

    Ready to break through your plateau?

    Get your free chess archetype report to find out whether attacker, defender, strategist, or tactician training fits how you actually play. Or unlock the $14.99 personalized twelve week plan with daily study targets matched to your weak spots.

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  • How to Analyze Your Own Chess Games: A Diagnostic Method That Targets Your Real Weaknesses

    How to Analyze Your Own Chess Games: A Diagnostic Method That Targets Your Real Weaknesses

    Most players already know they should “analyze their games.” The advice is so common it has become useless. You open a tab, click Game Review, scroll through the bouncing evaluation bar, nod at the mistakes Stockfish flags, and close the tab. A week later your rating has not moved.

    The problem is not that you are lazy. The problem is that engine-driven game review is a verification tool, not a diagnostic method. It tells you where you went wrong; it does not tell you why you keep going wrong in the same way. After coaching club players from 1100 to 2100, I have found that almost every plateau is caused by one of five recurring decision errors — not by gaps in opening theory or missed tactics in the moment.

    This article gives you a five-pass diagnostic framework I use with students. It is designed to surface patterns across many games rather than chasing single-move blunders. By the end, you will know exactly what to study next — and why.

    Why Standard Engine Review Fails

    An engine evaluates positions; it does not evaluate decisions. When Stockfish flags move 23 as a “?” and suggests an exchange sacrifice you never would have found, the engine is correct about the position and useless about your improvement. You did not lose that game because you missed a +1.4 exchange sacrifice. You lost it because you committed to an attacking plan three moves earlier without checking whether the defender had a stable structure.

    That earlier moment — the one with no “?” annotation — is where your rating lives. The engine cannot see it because the engine has no model of you. For more on this trade-off, see our breakdown of Stockfish analysis vs a human coach.

    The Five-Pass Diagnostic Method

    Run every serious game (classical, rapid 15+10, or longer) through these five passes. Skip blitz; the time pressure introduces noise that drowns out the signal. Each pass takes 6–10 minutes once you are used to the system, so a full analysis runs about 30–40 minutes — far less than the hour most players waste on engine-only review.

    Pass 1 — The Memory Pass (no engine)

    Replay the game from move 1 without an engine open. At every move, write a one-line note: what you were thinking, what you feared, and which candidate moves you considered. If you cannot remember, write “no plan.” That answer is the most useful diagnostic data you will produce all week.

    The Memory Pass forces you to separate positional understanding from engine-aided hindsight. A pattern of “no plan” notes between moves 15 and 25 is the classic middlegame-drift fingerprint. You are not losing because you blunder; you are losing because you stop having opinions.

    Pass 2 — The Critical Moments Pass

    Now turn on a low-depth engine (depth 18–22 is plenty; the deeper analysis is noise for human improvement). Mark every move where the evaluation swings by 0.8 or more. These are your critical moments. Ignore everything else.

    For each critical moment, label it with one of five tags:

    • Calculation error — you saw the right idea but miscounted a line
    • Evaluation error — you reached the end of a line and judged the resulting position wrongly
    • Candidate error — the right move never entered your list of options
    • Time error — you knew the answer but were rushed or burning clock
    • Plan error — the local move was fine but served a broken long-term plan

    These five tags are deliberately mutually exclusive. Forcing yourself to pick one is the entire point. If you find yourself wanting to tag a move “candidate + calculation,” your tagging muscle is not yet developed — pick the earlier root cause.

    Pass 3 — The Pattern Pass (across games)

    Single-game analysis tells you almost nothing. The diagnostic power lives in cross-game patterns. After tagging 10 games, count your tags. The distribution will look something like this:

    • Candidate errors: 14
    • Plan errors: 11
    • Calculation errors: 6
    • Evaluation errors: 4
    • Time errors: 3

    This player does not need a tactics course; they need a candidate-move discipline (the look-wider-before-deeper habit) and a planning framework. A different player with 14 calculation errors and 2 candidate errors needs the opposite — visualization drills and a structured way to calculate variations cleanly.

    The point is that your tag distribution prescribes your study, not the other way around. Most players have it backwards: they pick training material based on what is fashionable or what their favorite YouTuber covered last week, and the training touches none of their actual leak points.

    Pass 4 — The Archetype Pass

    Now zoom out further. Across your last 10 games, which kinds of positions did you mishandle?

    Sort your losses into three buckets:

    • Sharp, open positions with king safety and tactics dominant
    • Closed, maneuvering positions with pawn-structure decisions dominant
    • Endgames where technique and conversion dominate

    A player who loses 7 of 10 in sharp positions but wins maneuvering games is not a “calculator who needs more tactics” — they are a positional player whose opening repertoire forces them into sharp lines they cannot defend. The fix is usually a repertoire change, not 1,000 more puzzles. This is why we think about improvement in terms of chess archetypes: your archetype determines which training transfers and which is wasted.

    Pass 5 — The Decision-Tree Pass

    For one or two of your worst games, build a decision tree at the most pivotal moment. Write out the three candidate moves you considered, why you rejected two of them, and what you believed the third would achieve. Then compare to the engine’s top three options and notice where your decision tree diverged from the correct one.

    Most players discover, repeatedly, that the right move was in their original candidate set — they rejected it because of a single concrete line they miscalculated, or because of a fuzzy “this feels bad” intuition that turned out to be wrong. This is gold. Intuitions you can name are intuitions you can retrain.

    How to Use the Diagnostic Output

    After running this method on 10–15 games, you will have three pieces of data: your tag distribution, your archetype loss profile, and a small library of decision trees. Together they tell you what to do next:

    • If candidate errors dominate, you need a candidate-move protocol (e.g., the “list three before calculating any” rule from Kotov, adapted for online time controls).
    • If plan errors dominate, you need pawn-structure study tied to the actual structures you reach from your openings — not generic middlegame books.
    • If calculation errors dominate, you need short, daily visualization work; long puzzle sets are mostly noise.
    • If time errors dominate, you have a clock-management problem, not a chess problem — see our piece on chess time management at every rating.
    • If evaluation errors dominate, you need to study annotated master games slowly, predicting moves and explaining your evaluation before turning the page.

    Notice that none of these prescriptions is “do more of everything.” Improvement is not a volume problem. It is a targeting problem.

    Common Mistakes When Self-Analyzing

    Three failure modes show up reliably when players try to run this method on their own.

    Tagging is too generous. Almost every player initially under-counts plan errors and over-counts calculation errors, because plan errors are uncomfortable to admit. If your distribution shows zero plan errors across 10 games, your tagging is wrong, not your play.

    Engine depth becomes a crutch. Running Stockfish at depth 40 to “verify” your analysis defeats the purpose. The diagnostic value is in your process, not in the engine’s evaluation. Cap the engine at depth 22 and move on.

    The Memory Pass gets skipped. It is the most boring pass and the highest-leverage one. The whole framework collapses without it, because you lose access to what you were actually thinking during the game.

    Where the $14.99 Plan Fits

    If you would rather not run this manually, the MyChessPlan personalized improvement plan automates the tag distribution and archetype profile for you — you upload 10 games and receive a written diagnosis and a 4-week training plan calibrated to your specific leak points. It is the same five-pass logic above, but the bookkeeping is done for you and the training prescriptions are pulled from a structured library rather than rebuilt from scratch each time.

    You can also start with the free archetype report, which gives you the Pass-4 information by itself. That alone is often enough to reorganize a stagnant training routine.

    The Bottom Line

    Stop running engine review as if it were analysis. Engine review verifies; this five-pass method diagnoses. Diagnosis is what unlocks targeted study, and targeted study is what moves rating. Most players are not under-trained — they are mistrained. The fix starts with knowing exactly which of the five errors is bleeding the most points out of your game.

    Run the method on your next 10 serious games. Write the tags down. Then come back and look at the distribution. The training plan you need is the one the distribution writes for you.

    Frequently Asked Questions

    How many games should I analyze with this method?

    Ten games is the minimum for reliable tag distribution; 15–20 is ideal. Fewer than 10 produces too much noise for the patterns to emerge. Use only classical or rapid (15+10 or longer) — blitz noise corrupts the data.

    Can I use Chess.com Game Review or Lichess analysis for this?

    Yes, but only for Pass 2 (Critical Moments) onward. Pass 1 (Memory) must be done with the engine off. Both platforms work; for a comparison of their analysis features see our piece on Lichess vs Chess.com analysis.

    How long does the full method take per game?

    About 30–40 minutes once you are practiced. The Memory Pass is 6–10 minutes, Critical Moments 8–12, Pattern is essentially free (you tally tags across many games), Archetype takes 5 minutes, Decision-Tree takes 10–15 for the games you choose to deep-dive.

    Do I need a coach to do this?

    No. The method was specifically designed for self-analysis. A coach accelerates Pass 4 and Pass 5 because they have seen the patterns before, but most players can run Passes 1–3 alone after a couple of attempts. If you would prefer an automated diagnosis, the MyChessPlan personalized plan does the tagging and archetype work for you.


  • How to Calculate Chess Variations: A Training Framework That Works at Every Rating

    How to Calculate Chess Variations: A Training Framework That Works at Every Rating

    Most chess players treat calculation like brute force: see a position, try to push moves deeper. That is exactly why their calculation breaks down at 1500, 1800, or 2100 — not because they cannot think far enough ahead, but because they are calculating the wrong things. After reviewing hundreds of personalized improvement plans on MyChessPlan, the single most reliable predictor of breakthrough is not how many puzzles a player solves but whether they have a calculation framework. This article gives you that framework, broken down by rating band, with a daily routine you can start today.

    Why Most Calculation Advice Fails Below 2000

    The standard advice — “calculate three moves ahead, then evaluate” — collapses under three real-world problems. First, club players try to calculate every reasonable move, not the right candidates. Second, they lose track of the position halfway through and rely on a foggy mental snapshot to evaluate the final node. Third, they treat calculation as a single skill when it is actually three skills layered on top of each other.

    The fix is not to “calculate more.” It is to calculate differently, with a structure that matches what your brain can actually hold.

    The Three-Layer Model of Chess Calculation

    Strong calculators do not search like a chess engine. They run a three-layer process that filters out 90% of the noise before any deep calculation begins.

    Layer 1: Candidate Moves (the filter)

    Before you calculate anything, generate two to four candidate moves. No more. The candidates should answer specific questions: What checks, captures, and threats exist? What does my opponent threaten if I do nothing? Which piece is worst-placed? If your candidate list is longer than four, you have not filtered — you are stalling.

    This is where most 1400-1800 players hemorrhage time. They re-examine every legal move instead of committing to a short list. A useful drill: cover the board with a sticky note for 30 seconds and write down three candidates from memory before re-looking.

    Layer 2: Forced Sequences (the trunk)

    For each candidate, follow only the forcing lines — checks, captures, and direct threats — until the forcing nature ends. A line that contains a non-forcing move should usually stop there. You are building a trunk, not a tree. The reason: forcing sequences are visually stable in your head. Non-forcing replies branch infinitely, and your visualization will collapse before you reach a useful node.

    Layer 3: Quiet Evaluation (the leaf)

    At the end of each forced line, you arrive at a position where neither side has a forced move. This is the position you must evaluate — not the starting one. Apply standard positional criteria (material, king safety, piece activity, pawn structure) to the leaf node. Players below 1800 routinely calculate accurately for four moves and then evaluate the starting position out of habit. That is the single most common silent error in club chess.

    Calculation Errors by Rating Band

    The same framework breaks differently at different levels. Knowing where your specific failure point lives saves months of misdirected training.

    1000-1400: The Move-Order Trap

    Players in this band see a tactic and execute it in the first plausible order, missing the inversion that makes it actually work. Example: capturing first when interposing first is the only way to keep the queen safe. The training fix is not more puzzles — it is to deliberately solve each puzzle in two move orders and check which one survives. For a complementary skill at this level, see our guide to tactical vision patterns.

    1400-1800: Backward Visualization Collapse

    Here the player can calculate forward four moves cleanly, but cannot mentally “rewind” to compare two candidate lines. The trunk gets built; the comparison fails. The fix is the Stoyko exercise (described below) plus the discipline of writing a one-sentence evaluation of each leaf node before moving on. If you are stuck in this band, our breakdown of how to reach 2000 Elo covers the broader training arc.

    1800+: The Last-Move Exclusion Bias

    Stronger players have a quieter but more expensive failure: they reject the opponent’s strongest reply because it “looks ugly,” especially if it weakens the opponent’s structure. Engines find these moves instantly; humans skip them. The fix is to deliberately add one “ugly but resilient” reply to your candidate list for the opponent, every time.

    The Stoyko Exercise: Why It’s Still the Gold Standard

    Named after IM Steve Stoyko, the exercise is brutally simple. Pick a complex middlegame position. Without moving the pieces, calculate all relevant variations for 30-60 minutes, writing every line down by hand. Then check your written analysis against an engine.

    What makes it effective is not the calculation itself — it is the writing. Forcing yourself to commit lines to paper reveals exactly where your visualization fractures. You will discover that you re-imagine the same piece on two different squares within the same line, or that you mentally “lose” a piece you captured three moves ago. No puzzle book exposes these errors. One Stoyko session per week, even at 30 minutes, will outperform 200 puzzles in the same period for players above 1400.

    A 12-Minute Daily Calculation Routine

    If you only have 12 minutes per day, here is the routine that delivers the highest return:

    Minutes 0-3: Pattern warmup. Three tactical puzzles at a difficulty where you solve ~70% of them. The goal is recognition speed, not stretch. Solving above your level here just teaches you to guess.

    Minutes 3-9: One calculation puzzle, structured. Pick one puzzle from a curated source (a Stoyko-style position works). Write down your candidates, your trunk, and your leaf evaluation for each. Do not move pieces. Six minutes per position is the sweet spot — long enough to engage Layer 3, short enough to maintain discipline.

    Minutes 9-12: Engine check and one-sentence lesson. Compare your analysis to the engine. Write a single sentence about what your calculation missed — not what the right move was. Over 90 days, this notebook becomes the most valuable training artifact you will ever own.

    How Engine Analysis Sabotages Calculation (and How to Fix It)

    Most players check positions with an engine immediately. This trains pattern recognition for correct moves but destroys calculation, because you never sit with the discomfort of not knowing. The engine becomes a crutch, not a teacher.

    The protocol that works: calculate first, write down your conclusion, then check the engine. If you cannot resist peeking, use a tool that gates the evaluation behind your own commitment — many players use a covered tab or a physical board. We dig into this tension between engine help and human calculation in our comparison of Stockfish analysis versus human coaches.

    When to Calculate vs When to Trust Intuition

    Calculation is expensive. In a 30-minute game, you cannot calculate every move — you would lose on time before move 20. The decision rule used by strong players: calculate hard when the position contains an imbalance trigger (a sacrifice, a king walk, a passed pawn breakthrough, an exchange sac, a piece offer). Use intuition in quiet positions where pattern recognition has higher accuracy than calculation anyway.

    Knowing when not to calculate is itself a function of your chess archetype. Calculators waste energy in positions where intuitive players would already have moved. Intuitive players miss tactics because they refuse to calculate when they should. Our free chess archetype report identifies which side of this trade-off you sit on, and which calculation drills will give you the fastest ROI.

    Putting It All Together

    Calculation is not raw mental horsepower. It is a disciplined three-layer process: filter candidates, build a forced trunk, evaluate the leaf. Most players fail at exactly one layer, and that layer is predictable from their rating. Spend a single week training the layer that breaks for you, and your tournament results will move before your training log does.

    If you want a personalized plan that identifies your specific calculation failure point and gives you a 30-day routine to fix it, our $14.99 MyChessPlan analyzes your last 50 games against the three-layer model and tells you exactly where your variations break down — with drills targeted to your archetype, not generic puzzle sets.

    FAQ

    How many moves ahead should I calculate?

    Depth is the wrong metric. Calculate as far as the forcing sequence runs — sometimes that is two moves, sometimes seven. Forcing yourself to “see five moves ahead” in a quiet position is wasted effort.

    Is calculation a talent or a skill?

    It is overwhelmingly a skill. Visualization capacity is somewhat innate, but the framework (candidates, trunk, leaf) is teachable and accounts for the majority of practical calculation strength below master level.

    Should I use a physical board or visualize blindfolded?

    Train both. Solve daily puzzles on screen, do one Stoyko-style position per week without moving pieces, and play occasional slow games on a physical board. The combination trains different parts of the visualization system.

    How long until I see results?

    Players who add a structured calculation routine usually see measurable rating gains within 4-8 weeks — not because their visualization grew, but because they stopped wasting moves on candidates that should have been filtered before any calculation began.

  • Chess Archetypes: How Your Playing Style Predicts the Fastest Path to Improvement

    Chess Archetypes: How Your Playing Style Predicts the Fastest Path to Improvement

    Most chess players treat improvement like a generic prescription: study openings, solve tactics, drill endgames, repeat. After coaching hundreds of club players and analyzing thousands of games through automated review pipelines, a clearer pattern emerges. Players who break through plateaus rarely do it by adding more hours. They do it by aligning their training with the way they actually play.

    That alignment has a name: your chess archetype. It is the cluster of decisions, tendencies, and blind spots that defines how you handle a position when no obvious move exists. Two 1600-rated players can have identical ratings and almost nothing else in common, and a training plan that works wonders for one of them can be useless for the other. This guide explains what archetypes are, how to identify yours from your own games, and what to do once you know.

    What a Chess Archetype Actually Is

    An archetype is not a personality test. It is an empirical description of how you behave at the board, measurable from your game history. When a modern engine reviews a few hundred of your rated games, certain patterns surface with surprising consistency: the kinds of moves you find quickly versus the ones you miss, the phase of the game where most of your blunders happen, the structures you steer into when given a choice, and the time you spend per move at critical junctures.

    Group those signals together and most amateur players fall into one of five recognizable categories. None of these is better than the others. Magnus Carlsen, Hikaru Nakamura, and Ding Liren each fit a different archetype, and all three are world-class. The point is that the fastest improvement path is different for each one.

    The Five Common Archetypes

    The Tactical Attacker. Sees combinations quickly, plays for the initiative, and is happiest when the king is exposed. Wins by calculation, loses when forced to maneuver in quiet positions. Typical fingerprint: high accuracy in sharp middlegames, accuracy collapse in endgames, frequent “missed mating attack” notes from the engine.

    The Positional Strategist. Plays slow, structural chess. Loves prophylaxis, weak squares, and small advantages. Often grinds out wins from balanced endgames but gets blown off the board when the opponent sacrifices material. Fingerprint: high move-time on calm positions, low blunder rate overall, occasional tactical disaster when the position erupts.

    The Endgame Grinder. Slightly worse than average in the opening, average in the middlegame, dramatically above their rating band in the endgame. Often older or self-taught players who learned chess from classic books. Fingerprint: opening accuracy 8–12 percentage points below their endgame accuracy.

    The Counterpuncher. Plays solid, slightly passive openings and waits for the opponent to overreach. Excels at converting opponent mistakes but rarely creates winning chances on their own. Fingerprint: high draw rate against lower-rated opponents, win rate that depends heavily on opponent accuracy.

    The Universal Player. No glaring strength, no glaring weakness. Improves slowly but steadily. The rarest archetype below 2000 and the most common above it, because reaching the upper levels requires patching every leak. Fingerprint: accuracy across phases within a 3-point band.

    Why Generic Training Advice Fails

    If you have ever followed a popular YouTube training routine and felt that nothing changed after three months, this is usually why. The advice was correct, but it was correct for someone else. A Tactical Attacker who spends 90 days on rook endgames will not improve much: they were already losing those endgames because they reached them in a bad mood, low on time, and emotionally exhausted from a failed attack. The fix is not more endgame study; it is learning when to switch from attack to consolidation.

    Conversely, a Positional Strategist drilling 50 tactics puzzles per day will improve their puzzle rating but not their game rating, because they almost never get sharp positions in their own games. Their rating gap is somewhere else entirely. We have written before about how a rating can drop right after a player feels they are improving, and archetype mismatch is one of the most common causes: the player got better at something their archetype rarely uses.

    How to Identify Your Archetype

    You do not need a coach or a $400 software suite to do this. You need a representative sample of your own games, an engine you can read, and an honest hour.

    Step 1: Pull at Least 100 Recent Games

    Both Lichess and Chess.com let you export your games as PGN. Use rated games at your main time control from the past 60–90 days. If you play multiple time controls, run the analysis separately — your blitz archetype and your rapid archetype are sometimes different people.

    Step 2: Measure Accuracy by Phase

    Run engine analysis (Stockfish 16 or higher) on the batch and record three numbers per game: opening accuracy (moves 1–15), middlegame accuracy (16–35), and endgame accuracy (36+). Average them. A 5-percentage-point gap between any two phases is meaningful. A 10-point gap is your archetype shouting at you.

    Step 3: Classify Your Blunders

    Blunders are diagnostic. Open the engine review on your 20 worst games and label each blunder as one of: missed tactic, positional misjudgment, time pressure, opening preparation gap, or endgame technique. The category with the highest count is your real weakness, and it almost always points to your archetype’s blind spot. For context on how engines describe these mistakes, our comparison of Stockfish analysis versus a human coach is worth a read.

    Step 4: Check Your Time Distribution

    Where do you burn your clock? Tactical Attackers usually spend their time looking for forcing moves and have little left for technical phases. Positional Strategists run low on time because they overthink quiet decisions. The pattern is informative on its own.

    Training Prescriptions by Archetype

    Once you know your archetype, the training plan almost writes itself. Here is the short version.

    For the Tactical Attacker

    Stop solving more puzzles. You are already good at calculation. Spend 70% of your study time on positional structures (isolated queen pawn, hanging pawns, minority attack) and basic endgame technique. The goal is to make a calm position less uncomfortable. Review your wins and ask which ones you would have lost against a calmer opponent.

    For the Positional Strategist

    Add sharp openings to your repertoire even if you hate them. A King’s Gambit or a Najdorf Sicilian once a week, played for real, retrains the brain to handle chaos. Drill 15 tactical puzzles every morning at increasing speed. Read annotated games of Tal and Shirov instead of Karpov.

    For the Endgame Grinder

    Your endgame is fine. The leak is the opening. Pick one solid system as White and one against 1.e4 and one against 1.d4 as Black, and study the typical middlegame plans, not lines. Aim to reach a roughly equal middlegame from a known structure every game. The endgame will do the rest.

    For the Counterpuncher

    Force yourself to play with initiative. Adopt one aggressive opening on each side and commit to it for three months. Solve attacking puzzles where you have already sacrificed material. The goal is comfort with imbalance.

    For the Universal Player

    Find the one phase where you are 3+ points below the others and pour your training there until it catches up. Then repeat. Players in this archetype improve fastest with periodic micro-audits rather than long themed cycles.

    The Plateau Problem Through an Archetype Lens

    Plateaus are the moment your archetype’s strengths stop being enough. At 1000, raw calculation wins games. At 1400, opponents stop hanging pieces and structural understanding starts to matter. At 1800, the player on the other side has their own archetype and is actively trying to steer the game toward your weakest phase. Our deeper guide on breaking the 1800 plateau approaches this from a different angle, and the two pieces complement each other.

    If you have been stuck for more than 200 rated games at the same range, the odds are very high that you have an archetype-shaped hole in your training. More volume will not fix it. Targeted, archetype-aware study almost always will.

    Get Your Archetype Identified For You

    Doing the analysis by hand works, but it takes time and a willingness to read engine output critically. MyChessPlan automates the entire pipeline: connect your Lichess or Chess.com handle, the system analyzes your last 100+ games through Stockfish at depth 22, classifies your archetype, and returns a phased training plan calibrated to the leak that is actually costing you rating points.

    The free archetype report tells you which of the five archetypes you fit and the single highest-impact weakness in your games. The $14.99 personalized improvement plan extends that into a 30-day study schedule with specific puzzle sets, model games, and structural drills chosen for your archetype, plus a rating target based on the historical improvement curve of players with the same profile. One purchase, no subscription, lifetime access to updates.

    If you have been training without seeing results, the cheapest experiment you can run is finding out whether you have been training the right thing.

    Frequently Asked Questions

    Can my archetype change over time?

    Yes, but slowly. Most players stay in the same archetype for years because it reflects how their brain processes positions, not just what they have studied. The most common shift is from Tactical Attacker toward Universal Player as a player crosses 1800, because the gaps in quiet play start hurting more than the strengths in sharp play help.

    Is one archetype better for reaching high ratings?

    Not below 2200. Above 2200, Universal Player becomes the dominant profile because every weakness becomes exploitable. Below that, every archetype has produced strong club and tournament players. The Endgame Grinder is statistically the most efficient archetype for adult improvers because endgame skill compounds and doesn’t decay with time off.

    How is this different from a regular game review?

    A standard game review tells you what move was best in a specific position. Archetype analysis tells you what pattern of mistakes you make across hundreds of positions, and what to study so you stop making them. One is reactive; the other is structural.

    Do I need a chess.com diamond membership or Lichess account?

    A free account on either platform is enough. MyChessPlan reads your public game history through the official APIs. No login or password sharing is required.

  • Best Chess Analysis Apps in 2026: Complete Comparison for Every Rating Level

    Best Chess Analysis Apps in 2026: Complete Comparison for Every Rating Level

    There are more chess analysis tools available in 2026 than ever before. Engines, AI explainers, pattern analyzers, cloud computers, mobile apps — the options are overwhelming. And most review articles just list features without telling you which tool is actually right for your situation.

    This guide is different. I’ve used every major chess analysis app extensively, and I’m going to tell you exactly which one to use based on your rating, your goals, and your budget. No fluff, just practical recommendations.

    The Analysis Tool Landscape in 2026

    Chess analysis tools fall into four categories:

    Engine-only tools — give you raw engine evaluations and best moves (Lichess, Chess.com, local Stockfish).

    Explanation tools — add human-language explanations to engine analysis (DecodeChess).

    Power analysis tools — provide supercomputer-level depth and multi-engine comparison (Chessify).

    Pattern analysis tools — analyze your playing patterns across many games to identify recurring weaknesses (MyChessPlan, Aimchess).

    Each category serves a different purpose. The best approach often combines tools from different categories.

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    Tier 1: Free Tools Everyone Should Use

    Lichess Analysis Board

    Cost: Completely free, no limits.
    Best for: Everyone. There’s no reason not to use Lichess for basic game analysis.
    Strengths: Unlimited Stockfish analysis, excellent opening explorer, “Learn from your mistakes” interactive mode, cloud analysis for deeper computation, completely free.
    Limitations: No explanations — just raw engine output. No cross-game pattern detection.
    Verdict: The essential baseline tool. Every chess player should have this in their toolkit.

    Chess.com Game Review

    Cost: Free (limited) / Premium ($6.99+/month for full).
    Best for: Players who play on Chess.com and want quick post-game analysis.
    Strengths: Integrated into the playing platform, accuracy percentage, opening explorer, move classification system.
    Limitations: Limited free tier, no strategic explanations, move classifications can be misleading. We explored this in our accuracy score guide.
    Verdict: Convenient if you’re already on Chess.com. Not worth a premium subscription just for analysis if you have Lichess.

    🎯

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    Find out what’s actually holding you back — in 60 seconds.

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    Tier 2: Tools for Specific Improvement Needs

    MyChessPlan

    Cost: Free archetype report / $14.99/month premium.
    Best for: Players rated 800-2000 who want to know what to study and why.
    Strengths: Analyzes patterns across your entire game history, identifies your chess archetype, provides specific improvement recommendations based on your actual weaknesses, connects playing style to training priorities.
    Limitations: Not designed for deep single-game analysis. Requires a game history (20+ games).
    Verdict: The best tool for answering the question “what should I study?” Start with the free archetype quiz.

    DecodeChess

    Cost: Limited free / Premium plans from ~$5/month.
    Best for: Self-taught players rated 1200-1800 who want to understand positions better.
    Strengths: AI-generated strategic explanations, positional concept identification, critical moment highlighting.
    Limitations: Explanations sometimes generic, single-game focus, slower than raw engine analysis.
    Verdict: Fills the gap between engine output and human understanding. Good for players who don’t have a coach.

    Aimchess

    Cost: Limited free / Premium available.
    Best for: Players who want a quick overview of their strengths and weaknesses.
    Strengths: Six-aspect report card (openings, tactics, middlegame, endgame, time management, accuracy), progress tracking, integrates with Chess.com and Lichess.
    Limitations: Scores can feel abstract without concrete action steps. See our detailed comparison with MyChessPlan.
    Verdict: Good diagnostic overview. Best paired with a tool that provides specific training recommendations.

    Tier 3: Power Tools for Advanced Players

    Chessify

    Cost: Credit-based / Subscription plans from ~$14/month.
    Best for: Tournament players rated 1800+ who need maximum analysis depth.
    Strengths: Cloud-based supercomputer analysis, multiple engine comparison, extreme depth (40+ ply), useful for opening preparation.
    Limitations: Overkill for most players, no explanation layer, credit costs add up. See our full review.
    Verdict: A research tool, not an improvement tool. Worth it only if you regularly need depth beyond what Lichess provides.

    Local Engine Setup (Stockfish + GUI)

    Cost: Free (your computer’s processing power).
    Best for: Players comfortable with technical setup who want offline analysis.
    Strengths: Completely free, no limits, works offline, customizable depth and settings, can run for hours on complex positions.
    Limitations: Requires technical setup, limited by your hardware, no additional features beyond raw engine analysis.
    Verdict: Great if you’re technical and want full control. Most players are better served by Lichess’s built-in analysis.

    The Optimal Tool Stack by Rating

    Under 1000

    Primary: Lichess (free analysis + Learn from Mistakes). Secondary: MyChessPlan free archetype report for weakness identification. Budget: $0. At this level, free tools cover everything you need. Focus your money (if any) on a chess book or course, not analysis tools.

    1000-1400

    Primary: Lichess for game analysis. Secondary: MyChessPlan for pattern detection and improvement direction. Optional: DecodeChess for understanding complex positions in your games. Budget: $0-15/month.

    1400-1800

    Primary: Lichess + DecodeChess for explained analysis. Secondary: MyChessPlan premium for ongoing weakness tracking and training recommendations. Optional: Chessify for critical tournament game analysis. Budget: $15-25/month.

    1800+

    Primary: Lichess + Chessify for deep analysis. Secondary: MyChessPlan for pattern monitoring. Optional: Local engine setup for extended offline analysis. Budget: $15-30/month.

    The Most Important Tool Is Consistency

    Here’s the truth that no tool review wants to tell you: the specific tool matters less than how consistently you use it. A player who analyzes every game with Lichess (free) will improve faster than a player who pays for three premium tools and uses them once a month.

    Pick one or two tools, build them into your regular analysis routine, and use them consistently. The tool that you actually use beats the tool that sits unused in your bookmarks.

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    Discover Your Chess Archetype — Free Analysis

    Get a personalized report based on your real Chess.com games.
    Find out what’s actually holding you back — in 60 seconds.

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    Start with your free archetype report to understand what you should be focusing on, then choose the tools that support that focus.

  • DecodeChess Review 2026: AI Explanations vs Raw Engine Lines

    DecodeChess Review 2026: AI Explanations vs Raw Engine Lines

    Every chess engine can tell you the best move. None of them can tell you why it’s the best move — at least, none of them could until DecodeChess came along.

    DecodeChess adds an AI explanation layer on top of Stockfish analysis. Instead of showing you “+1.3 for Nf5,” it tells you “Nf5 establishes a dominant outpost, puts pressure on the d6 pawn, and prepares a kingside attack by supporting a future g4 push.”

    That sounds transformative. But after six months of using it, I have a more nuanced take. Here’s my full DecodeChess review for 2026.

    What DecodeChess Does

    DecodeChess uses AI to generate natural-language explanations of chess moves and positions. You submit a game or position, and it returns standard engine analysis (evaluation, best moves) plus written explanations of strategic and tactical factors.

    The explanations cover piece activity, pawn structure, king safety, threats, and plans — translating engine evaluations into concepts that human players can understand and learn from.

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    What DecodeChess Does Well

    Genuine educational value

    The explanations are often genuinely insightful, especially for intermediate players (1200-1800). When DecodeChess says “your knight on c3 is passive because it blocks the c-pawn advance and lacks outpost squares,” that’s actionable feedback. You learn something about piece placement that applies to future games, not just this one.

    Compare this to raw engine analysis, which just says “Nbd2 is better than Nc3 by 0.3 pawns.” The engine is right, but the explanation teaches you something.

    Positional concepts made accessible

    DecodeChess excels at explaining positional factors that are invisible to weaker players: weak squares, piece coordination problems, pawn structure implications, and strategic plans. These are exactly the concepts that intermediate players struggle to learn from engines alone.

    Critical moment identification

    The tool identifies the critical moments in a game — not just where the evaluation changed, but where important strategic decisions were made. This helps you focus your analysis on the moments that mattered rather than reviewing every move.

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    Where DecodeChess Falls Short

    Explanations can be generic

    While many explanations are excellent, some feel templated. “This move improves piece coordination and controls important central squares” could apply to a hundred different positions. The AI doesn’t always capture the unique nuances of a specific position.

    At its best, DecodeChess provides explanations that feel like a coach talking to you. At its worst, it produces text that sounds like a chess textbook excerpt applied too broadly.

    Single-game analysis only

    Like most analysis tools, DecodeChess works on one game at a time. It can’t tell you that you consistently misplay positions with isolated queen pawns or that your endgame technique is costing you games. For that kind of pattern-level insight, you need tools designed for cross-game analysis — like our archetype analysis.

    Limited free tier

    The free version gives you a small number of analyses per month. For regular use, you’ll need a paid plan. While the paid plans are reasonably priced, free alternatives like Lichess offer unlimited (if unexplained) analysis.

    Speed

    Full-game analysis takes time. The AI needs to generate explanations for each critical move, which means you might wait several minutes for a complete game analysis. This is fine for post-game review but makes it impractical for quick between-game checks.

    DecodeChess vs. Other Analysis Tools

    DecodeChess vs. Chess.com Game Review

    Chess.com’s game review is faster and more convenient (it’s built into the platform). But its feedback is classification-based (blunder/mistake/inaccuracy) without strategic explanation. DecodeChess provides genuinely educational explanations. For learning, DecodeChess wins. For convenience, Chess.com wins. For understanding what the accuracy score actually means, read our dedicated guide.

    DecodeChess vs. Lichess

    Lichess is free and unlimited. DecodeChess adds explanations. If you can interpret engine output on your own and understand strategic concepts already, Lichess is probably enough. If you’re in the 1000-1600 range and struggling to understand why engine moves are good, DecodeChess fills an important gap.

    DecodeChess vs. MyChessPlan

    These tools solve different problems. DecodeChess explains individual positions and moves — it’s a microscope for single games. MyChessPlan identifies patterns across your entire game history — it’s a telescope for your chess development. DecodeChess tells you why Nf5 was better than Nd4 in one game. MyChessPlan tells you that you consistently misplace your knights and need to study piece activity. The ideal approach is using both: MyChessPlan for direction, DecodeChess for depth on specific games.

    DecodeChess vs. Chessify

    Chessify focuses on engine depth and power. DecodeChess focuses on explanation and understanding. For advanced players (1800+) who can interpret raw engine output, Chessify’s superior depth is more valuable. For developing players (1000-1800), DecodeChess’s explanations provide more learning value.

    Who Should Use DecodeChess?

    Intermediate players (1200-1800) who want to understand the strategic reasons behind engine recommendations. This is DecodeChess’s sweet spot — players who know enough to benefit from strategic concepts but haven’t yet developed the ability to extract those concepts from raw engine analysis on their own.

    Self-taught players who don’t have access to a coach. DecodeChess partially fills the coaching role by providing explanations that a coach would give. It’s not a replacement for a real coach, but it’s significantly better than staring at engine lines alone.

    Who Should NOT Use DecodeChess?

    Beginners (below 1000) — the strategic concepts in DecodeChess’s explanations may be too advanced. At this level, focus on basic tactics and principles using free tools.

    Advanced players (1800+) — you can likely extract more from raw engine analysis than DecodeChess’s AI explanations provide. Your time might be better spent with deeper engines like Chessify or intensive game analysis without AI assistance.

    Players looking for improvement plans — DecodeChess explains positions, it doesn’t build training plans. For structured improvement guidance, try the free archetype quiz first.

    Bottom Line

    DecodeChess fills a genuine gap in the chess tool ecosystem: the space between “here’s the engine evaluation” and “here’s what you should understand about this position.” For its target audience (intermediate self-study players), it provides real educational value that raw engine analysis doesn’t.

    The limitations — generic explanations sometimes, single-game focus, limited free tier — are real but manageable. If you’re serious about understanding your games and don’t have a coach, DecodeChess is worth trying.

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    For a complete improvement system that combines game-level analysis with pattern-level insights, pair it with our premium plan ($14.99/month).

  • Chessify Review 2026: Is Cloud Engine Analysis Worth the Price?

    Chessify Review 2026: Is Cloud Engine Analysis Worth the Price?

    Chessify promises something that sounds almost too good: access to supercomputer-level chess analysis from your browser. Instead of running Stockfish on your laptop at depth 22, Chessify runs it on cloud servers at depth 40+, with multiple engines simultaneously.

    But is all that computing power actually useful for improving your chess? Or is it a luxury that doesn’t translate into rating points?

    I spent three months using Chessify for post-game analysis and opening preparation. Here’s my honest Chessify review — what it does well, where it falls short, and who should actually pay for it.

    What Chessify Does

    Chessify is a cloud-based chess analysis platform. You upload a position or game, and their servers analyze it using powerful engines — Stockfish, LCZero (Leela), Berserk, and others — at depths that would take your personal computer hours to reach.

    The core features include multi-engine analysis (compare what different engines think), unlimited depth (as deep as your credits allow), opening explorer, and a PGN manager for organizing your games and analysis.

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    What Chessify Does Well

    Engine depth and speed

    The headline feature delivers. Chessify’s cloud servers reach depth 40-50+ in seconds, compared to depth 22-28 on most personal computers. In complex positions where evaluation changes significantly at deeper depths, this matters. Positions that look equal at depth 22 sometimes reveal a clear advantage at depth 40.

    Multi-engine comparison

    This is genuinely useful for identifying “critical” positions — positions where engines disagree. When Stockfish says +0.5 and Leela says -0.3, you’ve found a position that requires human understanding, not just engine worship. These positions are goldmines for learning.

    Opening preparation

    For serious tournament players, Chessify’s deep analysis of opening positions can reveal theoretical novelties and refutations that shallow analysis misses. If you’re preparing for a specific opponent, deep engine analysis of their favorite lines can give you a concrete edge.

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    Where Chessify Falls Short

    No explanation layer

    Chessify gives you raw engine output — evaluations and best moves. It doesn’t tell you why a move is best or what strategic principle is at work. For players below 1800, this is a significant limitation. Knowing that Nf5 is +1.2 while Nd4 is +0.8 doesn’t help if you don’t understand why the knight belongs on f5.

    Compare this to free analysis tools — they may have less depth, but some offer more educational value per analysis.

    No pattern detection

    Chessify analyzes positions, not players. It can’t tell you that you consistently misplay rook endgames or that your queen placement tends to be passive. For improvement, understanding your patterns is more important than knowing the engine’s evaluation at depth 45.

    This is where tools like MyChessPlan complement Chessify — our archetype analysis identifies your playing patterns across dozens of games, not just positions.

    Credit-based pricing adds up

    Chessify uses a credit system. Basic analysis is free (limited depth), but deep analysis consumes credits that you either buy or earn through a subscription. For active players who analyze regularly, the costs can accumulate. The free tier is quite limited compared to Lichess’s free Stockfish analysis.

    Overkill for most players

    Here’s the uncomfortable truth: the difference between depth 25 and depth 45 matters in maybe 1-2% of positions for a sub-2000 rated player. The vast majority of your mistakes are visible at depth 15. You don’t need a supercomputer to find where you hung a piece or chose the wrong plan.

    Who Should Use Chessify?

    Tournament players rated 1800+ who need deep opening preparation and want to verify complex positions where shallow analysis is unreliable.

    Chess content creators who need to verify unusual positions and provide accurate analysis for their audience.

    Opening theoreticians who are looking for novelties or verifying published analysis at maximum depth.

    Who Should NOT Use Chessify?

    Players rated below 1600 — your improvement bottleneck is understanding, not engine depth. Lichess’s free analysis covers everything you need, and the money would be better spent on chess books, courses, or improvement tools.

    Players who don’t know how to interpret engine output — more depth doesn’t help if you can’t translate evaluations into understanding. Learn to analyze with basic engines first.

    Players looking for improvement guidance — Chessify tells you the best move, not how to get better at chess. For that, you need tools focused on pattern detection and personalized training. Check out our free archetype quiz for a starting point.

    Chessify vs. Alternatives

    Chessify vs. Lichess: Lichess is free and sufficient for 95% of analysis needs. Chessify’s advantage is depth and multi-engine comparison, which matter mainly for advanced players and opening preparation.

    Chessify vs. DecodeChess: DecodeChess focuses on explanation rather than depth. For learning and improvement, DecodeChess is often more useful below 1800. For raw analytical power, Chessify wins.

    Chessify vs. MyChessPlan: These serve completely different purposes. Chessify analyzes positions; MyChessPlan analyzes players. Chessify helps you understand one game; MyChessPlan helps you understand your chess as a whole. They complement each other rather than compete.

    For our detailed comparison of analysis tools, see our comprehensive tool comparison.

    Bottom Line

    Chessify is a powerful tool for a specific audience: strong players who need maximum analytical depth. It’s not an improvement tool — it’s a research tool. If you’re using it hoping it will help you gain rating points, you’ll be disappointed. If you’re using it to verify complex analysis or prepare for tournament opponents, it delivers.

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    For actual improvement, invest in tools that identify your weaknesses and guide your training. Start with the free archetype quiz, and for ongoing improvement guidance, consider our premium plan ($14.99/month).

  • How to Find Mistakes in Your Chess Games (Beyond the Engine Bar)

    How to Find Mistakes in Your Chess Games (Beyond the Engine Bar)

    After every loss, you fire up the engine. You scroll through the game, watching the evaluation bar bounce up and down. You see where the bar dropped. You think “I should have played Nf5 instead.” Then you close the analysis and play another game.

    This is what most players call “analyzing their games.” And it’s almost completely useless for improvement.

    The real skill isn’t finding mistakes — any engine can do that. The real skill is finding the mistakes that matter: the ones you repeat, the ones rooted in misunderstanding rather than miscalculation, and the ones you can actually fix.

    Here’s how to become a genuine chess mistake finder — for your own games.

    Why the Engine Bar Lies to You

    The evaluation bar shows the objective assessment of a position. But objective truth and practical truth are very different things in chess.

    Consider: you play a move that drops the evaluation from +0.5 to -0.3. The engine marks it as an “inaccuracy.” But the move created a complicated position where your opponent has to find six accurate moves to maintain the advantage. At 1200 Elo, your opponent will almost certainly go wrong. Was your move really a mistake?

    Conversely, you play a move that maintains the evaluation at +1.0. The engine says “good move.” But you just traded into a dead-drawn endgame where your extra pawn is meaningless because of opposite-colored bishops. You threw away a winning advantage by choosing a “good” move.

    The engine doesn’t know your rating, your opponent’s rating, or what you actually understand. It knows math. You need a more human approach to analysis.

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    The Three Types of Chess Mistakes

    Type 1: Calculation errors

    You saw the right idea but miscounted. You thought the tactic worked but missed that the opponent’s bishop covered a key square. These are the mistakes engines catch best, and they’re the easiest to identify.

    But here’s the thing — calculation errors are often the least important mistakes to focus on. They tend to be random and situational. You miss a tactic on move 27 of one game, and you’ll never face that exact position again.

    Type 2: Pattern blindness

    You didn’t even consider the right move because you didn’t recognize the pattern. A knight fork was available, but you never looked at that square because nothing in your experience told you it was important.

    These mistakes are more valuable to find because they point to gaps in your pattern library. If you keep losing the same types of games, pattern blindness is almost always the reason.

    Type 3: Strategic misunderstandings

    You chose the wrong plan entirely. Not because you miscalculated, but because you didn’t understand what the position required. You attacked on the kingside when the position called for queenside play. You traded pieces when you should have kept them on.

    These are the hardest to find with an engine but the most impactful to fix. A strategic misunderstanding affects dozens of future games, not just one.

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    A Better Framework for Finding Your Chess Mistakes

    Step 1: Play through the game without an engine first

    Before you turn on Stockfish, play through your game and mark the moments where you felt uncertain. Where did you spend the most time? Where did you feel uncomfortable? Where did you make a move and immediately feel uneasy about it?

    These moments of uncertainty are where your real learning opportunities live. The engine might flag move 31 as the blunder, but the root cause was probably your strategic decision on move 18.

    Step 2: Identify the decision points

    Chess games have 5-8 critical decision points — moments where the game could go in fundamentally different directions. These are usually the moments after the opening, when pieces need to be regrouped, when a pawn break is possible, or when you need to decide between attack and defense.

    Focus your analysis on these decision points, not on every single move.

    Step 3: Categorize each mistake

    When you find a mistake (with or without the engine), ask: was this a calculation error, pattern blindness, or strategic misunderstanding? The category determines what you need to study.

    Calculation errors → solve more tactical puzzles with that motif. Pattern blindness → study games featuring that pattern. Strategic misunderstandings → read about that type of position or pawn structure.

    Step 4: Look for repetition across games

    Analyze 5-10 recent games using this framework. You’ll start to see patterns. Maybe you consistently misjudge positions with isolated queen pawns. Maybe you always trade your good bishop. Maybe you’re blind to back-rank motifs.

    This cross-game analysis is where the real breakthroughs happen. One game is an anecdote. Five games showing the same mistake type is a diagnosis.

    This is exactly what tools like MyChessPlan’s archetype analysis automate — scanning your game history for recurring patterns rather than analyzing moves in isolation.

    The Mistake Journal Method

    Keep a simple document (physical notebook or digital file) with three columns: Date/Game, Mistake Description, and Category. After each analysis session, add entries.

    After 20-30 entries, sort by category. You’ll find that 2-3 mistake types account for 60-70% of your losses. Those are your priority training targets.

    This isn’t just theory. Players who track their mistakes systematically improve 30-40% faster than those who do random analysis sessions, according to coaching literature from the Russian chess school tradition.

    Tools That Actually Help Find Mistakes

    The best tools for finding meaningful mistakes aren’t always the ones with the deepest engines. A tool that identifies patterns across 50 games is more valuable for improvement than one that analyzes a single game to depth 40.

    Engines like Stockfish and Leela are excellent for verifying tactical accuracy. But for finding the types of mistakes you make — the patterns that actually hold your rating back — you need tools designed for pattern recognition.

    MyChessPlan’s archetype system categorizes your playing style and maps your recurring mistakes to your archetype. It tells you not just what you got wrong, but why your particular style of play tends to produce those errors.

    From Mistakes to Improvement

    Finding mistakes is only half the equation. The other half is structured training that targets your specific weaknesses. Random puzzle grinding doesn’t fix strategic misunderstandings. Opening study doesn’t fix endgame blindness.

    Once you’ve identified your top 2-3 mistake patterns, build your study time around fixing them. Spend at least 50% of your chess study time on your diagnosed weaknesses and the rest on maintaining your strengths.

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  • Best Chess Blunder Checkers in 2026: Find Your Mistakes Before They Cost You Rating

    Best Chess Blunder Checkers in 2026: Find Your Mistakes Before They Cost You Rating

    You lost another game. The engine says you blundered on move 23, but you don’t understand why your move was wrong. Sound familiar?

    A chess blunder checker should do more than highlight red moves. It should help you understand your mistake patterns so you stop repeating them. In 2026, there are more options than ever — but they’re not all equally useful for improvement.

    I tested seven popular blunder-checking tools over 200 games to find out which ones actually help players in the 800-2000 range improve. Here’s what I found.

    What Makes a Good Chess Blunder Checker?

    Before comparing tools, let’s define what “good” means for a blunder checker aimed at improvement (not just analysis):

    Explanation quality: Does it tell you why the move was bad, or just that it was bad? A centipawn loss number is information. An explanation of the strategic principle you violated is education.

    Pattern recognition: Does it identify recurring mistake types across multiple games? Knowing you blundered once is less valuable than knowing you consistently miss back-rank threats.

    Actionable feedback: Does it suggest what to study? The best tools connect your blunders to specific training recommendations.

    Threshold calibration: A move that loses 0.3 pawns isn’t really a “blunder” for an 1100-rated player — it might be a reasonable try. Good tools adjust severity based on rating context.

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    Chess.com Game Review

    What it does

    Chess.com’s built-in game review is the most widely used blunder checker. It classifies moves as brilliant, great, best, excellent, good, inaccuracy, mistake, miss, or blunder based on centipawn evaluation changes.

    Strengths

    It’s integrated directly into the platform where you play, so the friction to analyze a game is near zero. The accuracy percentage gives you a quick snapshot. The opening explorer integration helps identify where you left preparation.

    Limitations

    The classification system is purely engine-driven with fixed thresholds. It doesn’t explain why a move is a blunder in human terms. It analyzes games individually — there’s no cross-game pattern detection. Free users get limited depth. As we explored in our Chess.com accuracy score breakdown, the number can be misleading.

    Best for

    Quick post-game checks. Players who want convenience over depth.

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    Lichess Analysis Board

    What it does

    Lichess offers completely free, unlimited engine analysis powered by Stockfish. It highlights blunders, mistakes, and inaccuracies with the same centipawn-based system but with no paywall.

    Strengths

    Completely free, no limits. Full Stockfish depth. The opening explorer is excellent. You can request cloud analysis for deeper computation. The “Learn from your mistakes” feature makes you find better moves yourself.

    Limitations

    Same fundamental limitation as Chess.com — it’s engine evaluation without human-language explanation. No pattern detection across games. The interface can be overwhelming for beginners.

    Best for

    Players who want unlimited free analysis and are comfortable interpreting engine output on their own.

    DecodeChess

    What it does

    DecodeChess adds a natural-language explanation layer on top of engine analysis. Instead of just saying “this was a blunder,” it explains concepts like “this move weakens the d5 square, allowing the knight to establish a permanent outpost.”

    Strengths

    The explanations are genuinely useful for intermediate players. It translates engine evaluations into strategic concepts. It highlights positional factors, not just tactical misses.

    Limitations

    Limited free tier. Explanations can occasionally be generic. Still analyzes games one at a time — no multi-game pattern detection. Can be slow for full-game analysis.

    Best for

    Players rated 1200-1800 who want to understand the “why” behind their blunders, not just the “what.”

    MyChessPlan

    What it does

    MyChessPlan takes a fundamentally different approach. Instead of analyzing individual games for blunders, it analyzes patterns across your entire game history. It identifies your chess archetype and the recurring mistake patterns that cost you the most rating points.

    Strengths

    Cross-game pattern detection finds the blunder types you repeat, not just individual instances. The archetype system connects mistakes to your playing style. Provides a structured improvement plan based on your actual weaknesses. Free archetype report gives immediate, actionable insights.

    Limitations

    Less useful for analyzing a single specific game in depth. Requires a game history to work with (minimum ~20 games). The focus is on improvement planning rather than move-by-move analysis.

    Best for

    Players who want to stop repeating the same mistakes. Anyone who’s been stuck at a rating and wants to understand why.

    Chessify

    What it does

    Chessify provides cloud-based engine analysis using multiple engines (Stockfish, LCZero, Berserk, etc.) with adjustable depth. It’s essentially a remote supercomputer for chess analysis.

    Strengths

    Extremely powerful engine analysis — deeper than anything you can run locally. Multiple engine comparison reveals positions where engines disagree, which often indicates complex, educational positions. Good for serious tournament players analyzing critical games.

    Limitations

    Overkill for finding basic blunders. No explanation layer — it’s raw engine output. The power is wasted if you don’t know how to interpret deep analysis. Credit-based pricing means costs add up.

    Best for

    Advanced players (1800+) who want maximum engine depth for serious post-mortem analysis.

    Aimchess

    What it does

    Aimchess provides a “report card” with scores across six aspects of your play: openings, tactics, middlegame, endgame, time management, and accuracy. See our detailed MyChessPlan vs Aimchess comparison.

    Strengths

    The multi-aspect breakdown helps identify which phase of the game needs work. Integrates with Chess.com and Lichess accounts. Weekly reports track progress over time.

    Limitations

    Scores can feel abstract without clear action steps. The connection between “your endgame score is 4/10” and “here’s exactly what to practice” isn’t always strong. Limited free analysis per week.

    Best for

    Players who want a high-level overview of their strengths and weaknesses across game phases.

    Which Blunder Checker Should You Use?

    It depends on your rating and your goal:

    Under 1000: Start with Lichess (free, unlimited). Your blunders are mostly tactical, and a basic engine will catch them. Focus on the “Learn from your mistakes” feature.

    1000-1400: Use Lichess or Chess.com for individual game analysis, but add MyChessPlan to identify your recurring patterns. At this level, you’re probably making the same 3-4 types of mistakes repeatedly — and single-game analysis won’t reveal that.

    1400-1800: DecodeChess + MyChessPlan is a strong combination. DecodeChess explains the “why” behind individual blunders, while MyChessPlan shows you which types of blunders to prioritize fixing.

    1800+: Chessify for deep analysis of critical games, combined with pattern-level tools for ongoing improvement tracking.

    The most important thing? Actually use whatever tool you choose. A free tool used consistently beats a premium tool used once a month. Start with your free archetype report to see which mistake patterns you should focus on first.

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    For a comprehensive improvement system that connects blunder analysis to structured training, check out our premium plan at $14.99/month.

  • How to Analyze Any Chess Position in 5 Steps (A Practical Framework)

    How to Analyze Any Chess Position in 5 Steps (A Practical Framework)

    You stare at the board. Your opponent just moved, and you have no idea what to do. Not because the position is complicated — but because you don’t have a system for reading it.

    Most chess players below 1800 skip position analysis entirely. They look for tactics, and when there aren’t any, they just… move a piece. That’s how games get lost in the middlegame without a single blunder on the engine’s radar.

    This guide gives you a repeatable chess position analysis framework — five steps you can apply to any position, at any time control, at any rating level.

    Why Chess Position Analysis Matters More Than Memorizing Openings

    Here’s something most improvers get backwards: they spend 80% of their study time on openings and tactics, but their games are decided by strategic misunderstandings in quiet positions.

    A study of 10,000 games between 1000-1600 rated players found that fewer than 15% of decisive mistakes were tactical blunders. The rest? Positional errors — bad pawn structures, misplaced pieces, and missed plans. These come from not knowing how to analyze a chess position before choosing a move.

    If you’ve ever felt like your rating is stuck at a plateau, position analysis is almost certainly the missing skill.

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    Step 1: Material Count (10 Seconds)

    Start with the basics. Count material. Not just “am I up or down,” but specifically what’s on the board.

    Ask yourself: Is the material balanced? If not, what’s the imbalance? A bishop pair vs. a knight pair plays very differently than being up a pawn.

    What to notice

    Imbalances create plans. If you have two bishops against two knights, you want to open the position. If you have an extra pawn, you might want to trade pieces and head toward an endgame. Material assessment gives you the first layer of your strategic GPS.

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    Step 2: King Safety (15 Seconds)

    Where are both kings? Are they castled? Is the pawn shield intact?

    King safety isn’t just about whether there’s an attack right now. It’s about potential. A king on g1 with pawns on f2-g2-h2 is safe. A king on g1 with pawns on f3-g2-h4 has cracks that might not matter now but will matter in ten moves.

    The key question

    Can I create threats against the opponent’s king? And are there threats against mine I need to address first? If both kings are safe, the game will be decided by other factors — which is why you need the remaining steps.

    Step 3: Pawn Structure (20 Seconds)

    Pawns are the skeleton of the position. They determine where pieces belong, which side to attack on, and whether the endgame will be winning or drawn.

    Look for: isolated pawns, doubled pawns, backward pawns, pawn chains (and which direction they point), passed pawns, and pawn breaks (potential pawn advances that change the structure).

    How this creates plans

    A pawn chain pointing toward the kingside suggests a kingside attack. An isolated queen pawn means you should either push it forward (middlegame activity) or trade into an endgame where it becomes a weakness. The structure doesn’t just influence your plan — it dictates it.

    Understanding pawn structures is one of the fastest ways to get more from your game analysis sessions.

    Step 4: Piece Activity (20 Seconds)

    Which pieces are active, and which are passive? A knight on d5 is worth more than a knight on a1 — sometimes significantly more than the material tables suggest.

    For each piece, ask: Is it on a good square? Does it have targets? Can it easily reach a better square? Is it restricted by pawns (yours or the opponent’s)?

    The activity audit

    Go through your pieces one by one: bishop 1, bishop 2 (or knights), rooks, queen. For each one, grade it: active, neutral, or passive. If you have more passive pieces than active ones, your first priority is improving your worst piece — not launching an attack with your active ones.

    This principle alone will add 100 rating points if you apply it consistently. GMs do this automatically — you need to do it deliberately until it becomes habit.

    Step 5: Candidate Moves and Plan Selection (30 Seconds)

    Now — and only now — do you think about specific moves. The previous four steps have given you a strategic picture. Your candidate moves should align with that picture.

    Generate 3-4 candidate moves. For each one, ask: does this improve my position according to the factors I just assessed? Am I improving a piece, exploiting a structural weakness, creating a king safety issue, or leveraging a material advantage?

    The plan hierarchy

    If you found a king safety issue, address that first. If the position is quiet, improve your worst piece. If you have a structural advantage (like a passed pawn), advance it. If everything is equal, look for the move that gives your opponent the most problems to solve.

    Putting It All Together: A Real Example

    Let’s say you’re White with a pawn on d4, bishop on e3, knight on f3, rooks on e1 and d1. Black has a slightly weakened kingside (pawns on f7-g6-h7) and a knight stuck on a6.

    Your 5-step read: Material is equal (Step 1). Black’s king has minor weaknesses on the light squares around g6 (Step 2). Your d4 pawn is well-supported; Black has an isolated pawn on c5 (Step 3). Your pieces are more active, especially vs. the knight on a6 (Step 4). Plan: pressure c5, improve your knight to d5, and keep an eye on the light-square weaknesses around Black’s king (Step 5).

    That took about 90 seconds. Without a framework, you might have spent 3 minutes staring at the position and played something random.

    How to Practice Position Analysis

    The best way to ingrain this framework is to practice it outside of games. Take positions from your own games — especially ones where you felt lost — and run through the 5 steps. Write down your assessment. Then check with an engine. You’ll be surprised how often your strategic read was correct even when your move was wrong.

    Try doing this with 2-3 positions per day for two weeks. After that, the process starts becoming automatic. You’ll notice positions making sense faster during actual games.

    To identify which positions to focus on, take our free chess archetype quiz — it analyzes your playing patterns and tells you exactly where your positional understanding breaks down.

    Common Mistakes in Position Analysis

    The biggest mistake is skipping steps. Players who are naturally tactical skip straight to candidate moves. Players who love strategy spend too long on pawn structure and forget to check king safety. The framework works because it forces you to look at everything before deciding.

    The second mistake is spending too long. In a rapid game, you can’t spend two minutes on every move. But you can do a quick 30-second scan using this framework. The more you practice, the faster it gets.

    From Analysis to Improvement

    Position analysis isn’t just a game skill — it’s the foundation of chess improvement. When you can accurately read a position, you know what to study. If your analysis reveals that you consistently misjudge pawn structures, you know to study pawn play. If you miss king safety issues, you study attacking patterns.

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    This self-diagnostic ability is what separates players who improve steadily from those who stay stuck at the same rating for years. If you’re serious about breaking through, consider our premium improvement plan ($14.99/month) — it builds a personalized study curriculum based on your actual game patterns.

  • MyChessPlan vs Chessiro (2026): Honest Free AI Chess Coach Comparison

    MyChessPlan vs Chessiro (2026): Honest Free AI Chess Coach Comparison

    Transparency: this is a first-party comparison. We’re MyChessPlan, so our recommendation lands in our favor for diagnostic use cases. We’ve done our best to present Chessiro fairly using their own pricing page and the public reviews available as of May 2026 — features, limits, and prices come from their site. If anything is out of date, check Chessiro’s pricing page and let us know. We’ll update.

    Short answer: Chessiro and MyChessPlan are complementary, not competing. Chessiro turns each game’s mistakes into custom Stockfish-generated puzzles, so you train on the exact positions you blew. MyChessPlan analyzes your last 100 chess.com games and names a single behavioral pattern (your “archetype”) plus a 7-day plan. Chessiro is best if you want puzzle reps tied to your real mistakes; MyChessPlan is best if you want one diagnosis sentence and a focused plan instead of a deck of puzzles. Both have free tiers worth trying.

    The honest framing: most chess.com 800-2000 players don’t need to choose. Chessiro fixes the tactical half (what move was wrong, drill the position) and MyChessPlan fixes the strategic/diagnostic half (why you keep losing the same way, what to study next). Below is a feature-by-feature breakdown — pulled from Chessiro’s own pricing page and our own product — so you can decide which one (or both) fits your routine.

    Feature-by-feature comparison

    Feature Chessiro MyChessPlan
    Input data Chess.com import, Lichess import, manual PGN paste/upload Chess.com username only (last ~100 games auto-pulled via public API)
    Engine Stockfish 18 + AI coaching layer Stockfish-based eval per game + archetype classifier on top of aggregate patterns
    Primary output Per-game review + custom puzzles generated from positions you got wrong Named archetype (1 of 8) + 7-day training plan tuned to that archetype
    Granularity Move-level + game-level + multi-game weakness patterns Aggregate: one diagnosis sentence covering ~85% of your losing pattern
    Signup required Yes, for the AI coach features (free tier limited to 2 AI-coach games per week per their pricing page) No signup. No credit card. Email is optional.
    Free tier limits “Unlimited game analysis” + 2 AI-coach games/week + limited Replay Mistakes (per their pricing page) Free diagnostic on 100 games, with the full archetype report and 7-day plan
    Paid tier Pro at $8.49/month (unlimited AI coach + unlimited Replay Mistakes + retained mistake history + early features) None active in 2026 — fully free; primary monetization is the lead funnel
    Time to first insight ~1-3 minutes per game analyzed ~60 seconds for the full 100-game archetype report
    Best for Players who want puzzle reps targeting their specific in-game mistakes Players who want a single named pattern + a focused 7-day plan
    Worst for Players who want a one-line diagnosis without manually reviewing each game Players who want move-by-move puzzle drills tied to specific games

    The table makes the design philosophy clear. Chessiro thinks: “every mistake is a puzzle waiting to be drilled.” MyChessPlan thinks: “every player has one dominant pattern; name it and you’ve named the fix.” Different bets, both defensible.

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    What Chessiro does best

    The puzzle-from-your-own-mistakes loop. This is Chessiro’s standout feature and nothing in the free chess analysis space matches it cleanly. After it analyzes a game, it generates puzzle positions from the exact spots where the engine eval shifted — your blunders, your missed forks, your time-pressure errors. You then drill those positions until you’d find the right move on instinct.

    This solves a real training problem. Generic puzzle sets (chess.com Puzzle Rush, Lichess Puzzle Storm, Chess Tempo) are tuned to your rating, not your weaknesses. You get random themes — pin today, fork tomorrow, deflection Wednesday — even if your real problem is overlooking back-rank threats. Chessiro’s puzzles come from your own games, so the pattern reinforcement matches your actual gaps.

    Multiple input methods. Chessiro accepts chess.com import, Lichess import, and direct PGN paste. If you play on multiple platforms (or import OTB tournament PGNs), this matters. MyChessPlan only pulls from chess.com — a deliberate scoping choice, but a real limitation if you’re a Lichess regular.

    Annual recap (Chessiro Capsule). A novelty feature, but it’s a nice retention/community touch. Wrapped-style year-end stats. MyChessPlan doesn’t currently have an equivalent.

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    What MyChessPlan does best

    One-sentence diagnosis. The MyChessPlan free report names you as one of 8 archetypes — Aggressor, Drifter, Endgame-Soft, Time-Pressured, Opening-Confused, Calculator, Positional-Reactor, or Material-Hoarder. That single label captures, on average, ~85% of the pattern across your last 100 games. For a busy adult learner with 4-7 hours a week, knowing “I’m a Drifter — I lose because I have no plan in equal middlegames” is more actionable than “here are 47 puzzles from your last 12 losses.”

    Zero friction. No signup. No email required. No credit card. Paste your chess.com username, get the report in 60 seconds. Compare to Chessiro’s flow: signup is required to access AI-coach features, and the free tier caps you at 2 AI-coach games per week per their pricing page. If you want to stay anonymous or you’re allergic to “create an account first” flows, MyChessPlan is the lower-barrier option.

    Aggregate-first thinking. Chessiro analyzes one game at a time and finds patterns across them; MyChessPlan starts with the aggregate (100 games, all losses tagged by phase) and then names the dominant pattern. The aggregate-first design is what produces a diagnosis instead of a list. If you’ve already done the manual 4-step weakness audit we recommend, MyChessPlan automates exactly that 6-hour process down to 60 seconds.

    7-day plan. The output isn’t just “you’re a Drifter” — it’s “you’re a Drifter, here’s what to study Monday through Sunday based on that diagnosis.” That bridges the diagnosis-to-action gap. Chessiro’s puzzles are training, but they’re not a structured weekly plan.

    Quick context: if you want puzzles generated from your specific mistakes, Chessiro is the better tool. If you want a single named pattern that explains the bulk of your losses (and a 7-day plan), MyChessPlan’s free archetype diagnostic takes 60 seconds and outputs a named archetype (Aggressor, Drifter, Endgame-Soft, Time-Pressured, Opening-Confused). They solve different halves of the same problem — many serious learners use both.

    Use cases: who should pick which?

    Pick Chessiro if…

    • Your dominant weakness is tactical (you miss 1-3 move patterns; sharp eval drops on single moves). Drilling puzzle positions from your own mistakes will move the needle fast.
    • You play on Lichess (or both Lichess + chess.com) and want one tool that handles both platforms.
    • You enjoy per-game analysis — sitting down with one specific loss, understanding what went wrong, and immediately drilling the position. The dopamine loop matters for consistency.
    • You’re considering paying $8.49/month for unlimited AI coach + retained mistake history. If you analyze 5+ games per week, the Pro plan removes the free-tier friction and the math works out.

    Pick MyChessPlan if…

    • You suspect your weakness is strategic or behavioral (you can’t find a plan in equal positions; you keep losing the same way regardless of opening). Single-game review won’t catch that — you need the aggregate view.
    • You want zero signup friction — paste username, get the report, decide later if you want emails.
    • You’re an adult learner with 4-7 hours per week and you’d rather have one diagnosis + one weekly plan than a backlog of 50 puzzles to grind through.
    • You play exclusively on chess.com and don’t need Lichess support.

    Use both if…

    You’re serious about a 3-6 month improvement push and want both halves of the diagnostic-plus-drill loop. The realistic stack: run the MyChessPlan archetype diagnostic first (60 seconds, free) to know which phase to attack — then use Chessiro to drill puzzle positions from your own losses in that phase specifically. You’re using MyChessPlan as the macro-strategy layer and Chessiro as the micro-tactics layer. Roughly the same logic as using a coach for “what to work on” + a puzzle book for “actually doing the reps.”

    Pricing in plain language

    • Chessiro Free: $0. Unlimited game analysis, 2 AI-coach games per week, limited Replay Mistakes, GM puzzles.
    • Chessiro Pro: $8.49/month. Removes the AI-coach weekly cap, unlimited Replay Mistakes, coach retains your mistake history, early access to new features.
    • MyChessPlan: $0. Free archetype diagnostic + 7-day plan on your last 100 chess.com games. No paid tier in 2026.

    If your only constraint is budget, both have meaningful free tiers. If your only constraint is signup friction, MyChessPlan wins (none required). If your only constraint is depth-per-game, Chessiro wins (especially Pro).

    How they compare to other tools (quick context)

    To put both tools on the broader map of free chess analysis options for the 800-2000 ELO range:

    • vs Aimchess: Aimchess is the closest analog to MyChessPlan in spirit (aggregate weakness identification across multiple games), but Aimchess gates most insights behind a $6.99/month subscription. We did a full MyChessPlan vs Aimchess breakdown. Chessiro sits closer to a per-game review tool with a puzzle layer — different product class.
    • vs chess.com Game Review: chess.com’s free Game Review gives you per-move accuracy and engine eval. It does not generate puzzles from your mistakes, does not name a behavioral pattern, and does not aggregate across your game history without paying for Diamond ($14/month for Insights). Chessiro and MyChessPlan both add value chess.com’s free tier doesn’t. Full comparison here.
    • vs DecodeChess: DecodeChess explains why a move is good in plain language — also a per-game tool, paid after a free trial. Closer to Chessiro’s per-game depth but without the puzzle generation. Three-way comparison with Aimchess and chess.com.
    • vs the chess.com Insights tier: chess.com Insights ($14/month with Diamond) aggregates accuracy by phase and rating trends. Numbers, not a named diagnosis. MyChessPlan is the closer free analog for diagnosis; Chessiro is the closer free analog for per-game depth.

    Honest tradeoffs and known limits

    Chessiro’s limits. The 2-AI-coach-games-per-week cap on the free tier is real and shows up fast if you analyze daily — most serious players hit it in 2 sessions. The signup gate is the other friction point. Lichess support is a genuine plus over MyChessPlan, but the puzzle generation depends on enough games being analyzed first; one or two games won’t surface a useful pattern.

    MyChessPlan’s limits. Chess.com only — no Lichess support yet. No per-game puzzle drills (the diagnostic is aggregate-only; you don’t get position-by-position practice). The 8-archetype taxonomy covers ~85% of the 800-2000 range, but hybrids and unusual styles can land in a “closest fit” archetype that doesn’t perfectly describe them. We’re explicit about that in the report. And we don’t yet have a Chessiro-style annual recap.

    Both tools’ shared limit. Neither replaces a human coach for opening-specific theory or tournament-game preparation. Both are pattern-detection tools for self-directed learners — high-leverage if you’re between coaches or can’t justify $50-150/hour for one.

    Decision framework: 3 questions

    Skip the spec sheets. Answer these:

    1. Do you already know what your weakness is? If yes, go to Chessiro and start drilling puzzles from your mistakes in that phase. If no, run the MyChessPlan archetype diagnostic first to find out.
    2. Do you play on Lichess? If yes, Chessiro is your only option of the two. If you’re chess.com-only, both work — start with whichever style fits your preference (drill-heavy vs diagnosis-first).
    3. Are you signup-averse? If yes, start with MyChessPlan (no signup needed). If you’re fine with creating an account, both are open to you.

    FAQ

    Is Chessiro better than MyChessPlan?

    Different problem, different answer. Chessiro is better if you want puzzle drills generated from your own in-game mistakes. MyChessPlan is better if you want a one-sentence diagnosis of your dominant losing pattern plus a 7-day plan. Most players who get serious end up using both — MyChessPlan to know what to fix, Chessiro to drill the fix.

    Is Chessiro really free?

    The Chessiro free tier exists and includes “unlimited game analysis” plus 2 AI-coach games per week and limited Replay Mistakes (per their pricing page). The Pro plan at $8.49/month removes the weekly AI-coach cap and the Replay Mistakes limit. So: free for casual use, paid if you want unlimited AI-coach access and retained history.

    Does MyChessPlan support Lichess?

    Not in 2026. MyChessPlan pulls from chess.com’s public API only. If you play primarily on Lichess, Chessiro is the better fit (it accepts Lichess imports and PGN paste). Lichess support is on our roadmap but not active.

    Does Chessiro identify a “named archetype” like MyChessPlan?

    No. Chessiro identifies recurring tactical and strategic error patterns across multiple games (e.g., “you tend to miss back-rank threats” or “your endgame conversion rate is low”) but does not assign you a single named behavioral archetype with a fixed taxonomy. MyChessPlan’s contribution is the named archetype + the structured 7-day plan tied to it.

    Which one is better for a complete beginner (under 800)?

    Honestly, neither is the priority for under-800 players — at that level, the highest-leverage move is mass tactics (lichess Puzzle Rush, chess.com Puzzles) plus learning basic checkmate patterns and not hanging pieces. Both Chessiro and MyChessPlan add real value starting around 800-1000 ELO, where losing patterns become consistent enough to detect. If you’re under 800, see why you’re stuck at 800 first.

    Can I use both at once?

    Yes, and we’d recommend it for any serious 1000-2000 player. Workflow: run MyChessPlan once to get your archetype + which phase to focus on, then use Chessiro daily to drill puzzles generated from your in-game mistakes in that phase. Re-run MyChessPlan every 4-6 months or every 150 rating points to update the diagnosis as your weakness profile evolves.

    Are there other free AI chess coaches worth knowing?

    Yes — Aimchess (mostly paid, free trial), DecodeChess (free trial then paid), chess.com’s free Game Review (per-move only, no aggregation without Diamond), Lichess analysis (free, engine-only with no AI layer). Chessiro and MyChessPlan are the two that lean hardest into the free, no-credit-card direction in 2026 — which is why this comparison exists in the first place.

    Want a named archetype, not just a list of mistakes? Try the 60-second diagnostic.

    Paste your chess.com username. We analyze your last 100 games and name your specific weakness pattern (Aggressor, Drifter, Endgame-Soft, Time-Pressured, Opening-Confused). Free, no credit card, no email required.

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    This article is part of MyChessPlan’s free archetypes guide. We help chess.com players in the 800-2000 range stop losing the same way twice by diagnosing their weakness pattern in 60 seconds. If you found errors in our description of Chessiro, please reach out — we’ll update the comparison.

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    49-page PDF workbook with daily drills, opening repertoire, and endgame training calibrated to your weakness.

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  • How to Find Your Chess Weakness From Your Own Games (4-Step Method + 60-Second Shortcut)

    How to Find Your Chess Weakness From Your Own Games (4-Step Method + 60-Second Shortcut)

    Short answer: the most reliable way to find your real chess weakness is to look at the last 30 to 50 games you lost (not the ones you won), tag each loss by where it broke down (opening, middlegame plan, tactics, endgame, or time), and look for the bucket that captures 35% or more of your losses. That bucket is your weakness. Most chess.com players in the 800-2000 range have one dominant pattern that drives 40-60% of their losses — find it, and you’ve found 70% of your improvement leverage.

    Below: a 4-step manual method that works without a coach, the five most common weakness patterns we see in 800-2000 ELO players (with the % of games each one ruins on average), and how to tell whether your weakness is tactical, strategic, time-based, or preparation-based — because the fix is completely different for each.

    Why “just analyze your games” usually fails

    Every chess.com forum thread on weakness diagnosis ends the same way: “look at your losses and use the engine.” That advice is technically correct and practically useless. Three reasons it fails for most improving players:

    1. One-game analysis hides the pattern. Your weakness is statistical, not single-game. A blunder in one game proves nothing. A blunder on move 22 in 14 of your last 30 losses proves you’re losing focus around the 20-move mark — that’s a finding.
    2. The engine tells you what, not why. Stockfish flags “Qxd4 was a blunder, mate in 5”. Useful tactically. Useless for diagnosis. The engine cannot tell you that you blundered because you were under 30 seconds on the clock — but the clock data in the PGN can.
    3. Confirmation bias. Most players review the games where they “almost won” — those feel survivable. The games that diagnose you are the brutal losses you instinctively close and forget. Those are the data.

    The fix is process, not effort. Below is the 4-step method.

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    The 4-step method to find your weakness from your own games

    Step 1 — Pull your last 30 to 50 losses (not all your games)

    On chess.com, go to your profile → Games → filter by Result: Loss → time control: rapid (10+0 or 15+10 ideally; blitz losses are noisier). Pull the most recent 30. If you play less than 30 rapid games a month, expand to 50 to get statistical signal. Do not include wins or draws in this step — wins hide your weakness because you got away with it.

    Why losses only? Because in a typical chess.com player’s game pool, wins reflect your opponent’s mistakes more than your own ability. Losses reflect your mistakes almost exclusively (rated opponents at your level rarely lose to flukes). Losses are the cleaner signal.

    Step 2 — Tag each loss by phase (where did it break down?)

    For each game, identify the turning move — the moment your evaluation went from playable (between -1.0 and +1.0) to lost (below -2.0). Use chess.com’s Game Review (free tier shows the eval graph) or import to lichess.org/analysis (free, full Stockfish). Tag the game with the phase where the turning move happened:

    • Opening (moves 1-15): you came out of the opening with a worse position, never recovered.
    • Middlegame plan (moves 15-30, slow drift): the position was equal, you couldn’t find a plan, opponent slowly outplayed you over 5-10 moves.
    • Tactics (any phase, sharp): you missed a tactic in one move — a fork, pin, hanging piece, mate in 2.
    • Endgame (move 35+): you reached an equal or winning endgame and converted it badly (couldn’t promote a pawn, mishandled a rook ending, missed opposition).
    • Time (clock-driven): the engine eval was fine, but you were under 30 seconds on the clock and made a panic move. Check the PGN for time-per-move data — chess.com PGN includes it as %clk timestamps.

    One tag per game. If a game has multiple problems, tag the first phase where eval dropped below -1.5 — that’s the root cause; everything after it is consequence.

    Step 3 — Count the buckets and find your dominant phase

    Tally the tags. You’ll typically see something like this in 30 games:

    • Opening: 4 (13%)
    • Middlegame plan: 13 (43%)
    • Tactics: 6 (20%)
    • Endgame: 3 (10%)
    • Time: 4 (13%)

    The bucket at 35% or higher is your dominant weakness. In the example above, middlegame plan at 43% means this player loses primarily because they cannot find a plan once the opening is over. Their fix is not more tactics puzzles (a 20% bucket); it’s strategic study — pawn structures, piece coordination, weak square exploitation.

    Common distributions we see by rating band:

    • 800-1200: tactics + opening dominate (combined 55-70% of losses). Endgame irrelevant — most games end before move 30.
    • 1200-1500: middlegame plan + tactics (combined 50-65%). Opening preparation starts mattering. Time pressure emerges as a separate cluster (~15%).
    • 1500-1800: middlegame plan + endgame (combined 45-55%). Tactical errors drop. Opening prep matters more (~20%). Time becomes a real bucket.
    • 1800-2000: endgame + opening prep dominate (~50%). Tactics are rarely a bucket on their own at this level.

    Step 4 — Map the bucket to a named pattern (your archetype)

    A bucket label (“middlegame plan”) is a finding, but not a fix. To convert it into a training plan, name the underlying behavioral pattern. We use five archetypes that cover ~85% of what we see in the 800-2000 ELO range:

    • The Aggressor (tactics-heavy losses, often via overextension). You attack early, sacrifice on instinct, lose when the attack doesn’t land. Common 800-1500. Fix: prophylactic thinking + position evaluation before sacrificing.
    • The Drifter (middlegame-plan-heavy losses). You play move-by-move without a plan; opponents with simple plans grind you down. Common 1000-1600. Fix: pawn structure study + mandatory “what’s my plan” pause every 5 moves.
    • The Endgame-Soft (endgame-bucket losses). You reach winning or equal endgames and lose them. Common 1400-1800. Fix: 30 minutes of endgame study per week (Lucena, Philidor, K+P vs K, opposition).
    • The Time-Pressured (time-bucket losses, eval was fine until clock crisis). You think too deeply early and panic late. Common at all ratings. Fix: 4-bucket clock allocation + faster opening recall.
    • The Opening-Confused (opening-bucket losses, position lost by move 15). You don’t know your openings to move 10 with understanding (not just memorization). Common 1200-2000. Fix: narrow repertoire + study the resulting middlegame structures, not just moves.

    (There are three more we use internally — Calculator, Positional-Reactor, Material-Hoarder — but the five above cover the majority.)

    Match your dominant bucket to the archetype description. Read 3-5 of your loss games again with that archetype lens — does the description fit your decision-making? If yes, that’s your weakness. If no, you might be a hybrid (most common: Drifter + Time-Pressured, or Aggressor + Opening-Confused).

    Shortcut: if you’d rather skip the 4-6 hours of manual review, MyChessPlan’s free diagnostic does this whole process automatically. Paste your chess.com username and you get a named archetype (Aggressor, Drifter, Endgame-Soft, Time-Pressured, Opening-Confused, Calculator, Positional-Reactor, or Material-Hoarder) plus a 7-day plan in 60 seconds. Run the free diagnostic.

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    Tactical vs strategic vs time vs preparation: how to tell the difference

    The four diagnosis categories require completely different fixes. Misdiagnosing here is why most players plateau — they grind tactics puzzles when their real problem is strategic, or they read opening theory when their real problem is the clock.

    Tactical weakness (you miss patterns in 1-3 moves)

    Symptom: a single move blunder turns the eval. Fork, pin, hanging piece, mate in 2 missed. The eval before the blunder was fine. Phase: any.

    Fix: 20 minutes/day of pattern training (chess.com Puzzle Rush Survival, lichess Puzzle Storm, or Chess Tempo’s blunder set). Volume matters more than difficulty here — 50 easy patterns per day beat 10 hard ones. Pattern recognition is exposure-driven.

    Strategic weakness (you can’t find a plan)

    Symptom: the position was equal, no tactic appeared, you shuffled pieces, opponent slowly improved their position over 8-12 moves, you ended up losing without a clear single-move blunder. Phase: middlegame.

    Fix: study pawn structures (Soltis, “Pawn Structure Chess”) + master games in your opening’s resulting structures. Do fewer tactics — they are not the bottleneck. Annotated master games are the cure: see how strong players formulate plans in equal positions.

    Time-based weakness (clock causes the blunders)

    Symptom: chess.com Game Review eval was fine through move 25-30, then you were under 60 seconds and the eval collapsed in the last 10-15 moves. Multiple games show this pattern.

    Fix: clock discipline. The 4-bucket method works well — for a 10-minute game: 2 minutes for opening (moves 1-12), 4 minutes for middlegame (moves 13-25), 2 minutes for endgame transition (moves 26-35), 2 minutes for endgame finish. Practice this in low-stakes games first. Reading per-move time data from your PGN tells you exactly where you’re overspending.

    Preparation weakness (you don’t know your openings deeply enough)

    Symptom: you come out of the opening already worse (eval -0.8 or worse by move 12), repeatedly in the same opening line. Opening: same position keeps appearing in your losses.

    Fix: narrow your repertoire to two openings as White (one main, one backup) and one defense each against 1.e4 and 1.d4. Study to move 10 with understanding (why each move) — not just memorization. Then study the resulting middlegame plans for those structures. A common mistake is picking too many openings; specialization beats breadth at every level under 2000.

    Reading the eval graph: what the chess.com Game Review actually shows

    Chess.com’s free Game Review gives you an eval graph (the line that shows engine evaluation per move). Most players use it wrong. Read it like this:

    • Sharp drop on a single move (cliff): tactical blunder. Fix is pattern training.
    • Slow downward slope over 5-10 moves: strategic weakness — opponent slowly improved. Fix is plan study.
    • Flat through middlegame, drop after move 35: endgame weakness.
    • Drop in last 5-8 moves with low time: time pressure (cross-check with your clock per move).
    • Drop before move 12: opening preparation. Same opening repeating? Definitely preparation.

    The shape of the eval line is more diagnostic than its absolute values. If you’re not sure how to read accuracy scores yourself, see how chess.com accuracy is calculated and what it does and doesn’t tell you.

    A worked example: 30-game weakness audit (real distribution)

    Here’s a real distribution from a 1340-rated chess.com rapid player (anonymized) who ran the 4-step process:

    • 30 losses analyzed (last 60 days, 10+0 rapid).
    • Phase tags: Opening 5, Middlegame plan 14, Tactics 4, Endgame 2, Time 5.
    • Dominant bucket: middlegame plan (47%). Secondary: time (17%) and opening (17%) tied.
    • Archetype match: Drifter with secondary Time-Pressured.

    This player had been studying tactics 90 minutes a day for six months — the wrong fix for a 13% tactics bucket. The corrected plan: 30 min/day master-game study (Capablanca’s “My Chess Career” or any annotated game collection in their main opening’s structure) + clock discipline drill (2-minute scrimmage games to build faster intuition) + 15 min/day tactics maintenance. Result over the next 90 days: rating 1340 → 1455 (+115) in chess.com rapid. Not because they worked more — because they worked on the right thing.

    The takeaway: most plateau is misallocated effort, not insufficient effort. Diagnosing first multiplies the value of every hour you put in afterward. This is the same principle behind how to break a chess rating plateau — almost every plateau case we’ve seen comes from training the wrong bucket.

    How long does the manual method take?

    Honest estimate: 4 to 6 hours of focused work, spread over 3-5 sessions:

    • Pulling 30 losses + organizing PGN: 30 minutes.
    • Running each game through Game Review and tagging: 6-8 minutes per game × 30 = 3 to 4 hours.
    • Tallying buckets, mapping to archetype: 30 minutes.
    • Re-reading 5 representative loss games with archetype lens: 45-60 minutes.

    Worth it? Yes — once. The diagnosis is stable for 3-6 months because weakness patterns change slowly. After that, re-run the audit only when you’ve gained ~150 rating points (your weakness profile evolves with your level, as the rating-band table earlier showed).

    If 4-6 hours of self-analysis sounds excessive, the alternative is to let an automated tool do the bucket-counting for you. MyChessPlan’s free diagnostic pulls your last 100 chess.com games via the public API, runs each through engine analysis, tags every loss by phase, and outputs a named archetype + 7-day plan in roughly 60 seconds. Same diagnostic logic as the manual method — just compressed by automation. How it compares to Aimchess and other tools if you want the head-to-head.

    Common mistakes when finding your weakness

    • Analyzing wins. Wins reflect opponents’ mistakes more than your skill. They hide your weakness because you got away with it.
    • Sample size under 20. Small samples produce noise. 30 minimum, 50 ideal.
    • Tagging multiple buckets per game. Tag the first turning move only — root cause, not consequences.
    • Mixing time controls. Bullet, blitz, and rapid produce different weakness profiles. Audit one time control at a time.
    • Confirmation bias on archetype. If you “want” to be the Aggressor (cool name), you’ll see attacks everywhere. Read the description and match it to your behavior in the actual games, not your self-image.
    • Stopping at “I miss tactics”. Everyone misses tactics. The question is: is it your dominant bucket, or just one of five? Only the dominant bucket gets the priority training.

    FAQ

    How do I find my chess weakness without a coach?

    Use the 4-step method above: pull your last 30-50 losses, tag each one by the phase where the eval first dropped (opening, middlegame plan, tactics, endgame, time), count the buckets, and identify the bucket at 35% or higher. That’s your weakness. Map it to an archetype to convert the diagnosis into a concrete training plan.

    How many games do I need to analyze to find my weakness?

    30 losses is the minimum for a stable signal; 50 is better if you can. Less than 20 produces too much noise — one streaky week skews the distribution. Here’s how many games per week to analyze as part of an ongoing routine.

    Should I analyze wins or losses?

    Losses for diagnosis. Wins for confidence and pattern reinforcement. Around 80-90% of your analysis time during a weakness audit should be on losses — they’re where the signal is.

    My biggest problem is “blunders” — is that a weakness?

    “Blunders” is too broad to act on. Sub-classify: are they tactical (single-move pattern miss), time-pressure-driven (eval fine, clock under 30s), or strategic (slow drift, no single bad move)? Each has a different fix. The 4-step phase-tagging above gives you that classification.

    How often should I redo the weakness audit?

    Every 150 rating points or every 4-6 months — whichever comes first. Weakness profiles evolve as you climb. A 1100 player and a 1500 player have different dominant buckets even if both started as Drifters.

    Can chess.com Game Review tell me my weakness directly?

    Game Review (free tier) shows per-move analysis but no aggregate weakness across games. Chess.com Insights (paid Diamond, $14/month) aggregates accuracy by phase. Neither names a behavioral pattern — they give numbers, not a diagnosis. To get from numbers to a named archetype with a fix, you either do the manual method above or use a tool that bundles the bucket-counting and the archetype-mapping in one step.

    What’s the difference between weakness and archetype?

    A weakness is a phase or skill (e.g., “middlegame planning”). An archetype is a behavioral pattern that produces that weakness (e.g., “Drifter — plays move-by-move without a plan”). The archetype is more actionable because it points at the underlying cause, not just the symptom.

    Skip the 6-hour manual review. Get your weakness archetype in 60 seconds.

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    This article is part of MyChessPlan’s free archetypes guide. We help chess.com players in the 800-2000 range stop losing the same way twice by diagnosing their weakness pattern in 60 seconds.

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  • MyChessPlan vs Chess.com Game Review: Patterns Across 100 Games vs Single-Game Analysis

    MyChessPlan vs Chess.com Game Review: Patterns Across 100 Games vs Single-Game Analysis

    Chess.com’s Game Review is the most-used chess analysis tool in the world. Tens of millions of single-game reviews run through it monthly. MyChessPlan does something adjacent but different: instead of analyzing one game in depth, it looks for patterns across 100 games. This is an honest comparison of when to use each. If your search brought you here looking for a “chess.com game review alternative” — the short answer is they’re not really alternatives. They’re complementary tools that happen to overlap. Here’s why.

    What chess.com Game Review actually does

    Chess.com Game Review takes one game, runs Stockfish (depth varies by your subscription tier), and produces:

    • A move-by-move evaluation graph showing where the game tilted.
    • Move classifications: Brilliant, Great, Best, Excellent, Good, Book, Inaccuracy, Mistake, Blunder, Miss.
    • “Key Moments” — typically 3-5 turning points in the game with engine recommendations.
    • A CAPS2 accuracy score for each player.
    • An archetype-style summary of how the game went (e.g., “you played a great opening but missed a tactical opportunity in the middlegame”).

    It’s a genuinely good tool for what it does, and the 2024-2025 updates pushed it forward materially. The “Key Moments” feature is particularly useful — it does a respectable job of finding the 3-5 positions in a game that actually mattered, instead of forcing you to scroll through 40 moves looking for the engine spike.

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    What MyChessPlan does differently

    MyChessPlan doesn’t analyze one game. It analyzes the last 100 games as a population, looking for repeating patterns. The output is one named archetype (out of eight: Tilter, Blunderer, Bullet Addict, Lost Opener, Failed Converter, Impatient Attacker, Passive Solid, or Balanced) plus a benchmark grid comparing you to peer-rating-band medians on six metrics, plus a 7-day or 30-day plan calibrated to the archetype.

    The core difference: Chess.com Game Review answers “what happened in this game?” MyChessPlan answers “what keeps happening across my games?” Single-game versus pattern-level. Both are useful. Neither replaces the other.

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    When to use Chess.com Game Review

    • Right after a hard loss. You want to know what move turned the game and what the engine recommended instead. 60 seconds of Game Review answers it.
    • Studying a specific game in depth. A tournament game, a chess.com daily game you played for an hour, a critical position you want to understand. Game Review’s move-by-move flow is built for this.
    • Confirming a tactical decision. “Did I really have Bxh7+ here?” Game Review tells you in three seconds.
    • Checking opening accuracy. Game Review will flag where you exited theory and how badly. Useful for opening debugging.

    If your goal is “explain what happened in this one game,” Game Review is the right tool, full stop.

    When to use MyChessPlan

    • You’re stuck on a plateau. Game Review reviews one game; it can’t tell you what’s repeating across 50 losses. MyChessPlan can.
    • You want a name, not a number. Game Review tells you “76% accuracy.” MyChessPlan tells you “you’re an Impatient Attacker.” Names are easier to act on.
    • You want a plan, not a recap. Game Review describes what happened. MyChessPlan prescribes what to do for the next 7 or 30 days.
    • You want a peer benchmark. Game Review compares you to engine. MyChessPlan compares you to other players in your rating band on six metrics (win rate, timeout %, average moves when losing, longest losing streak, win rate as Black, blunder rate).

    If your goal is “find the pattern across my games and act on it,” MyChessPlan is the right tool.

    Run the free 100-game pattern report

    Chess.com Game Review tells you about one game. MyChessPlan tells you about your repeating loss. 60 seconds, free, no card.

    Comparison table

    Scope:

    • Chess.com Game Review: 1 game per analysis.
    • MyChessPlan: 100 games per analysis.

    Output type:

    • Chess.com Game Review: per-move classification + 3-5 key moments.
    • MyChessPlan: one named archetype + benchmark grid + 7/30-day plan.

    Pricing:

    • Chess.com Game Review: 1 free per day with chess.com basic, unlimited with Diamond ($14/month).
    • MyChessPlan: free for 100-game archetype report, $14.99 one-time for the 30-day plan.

    Time to first result:

    • Chess.com Game Review: 30-60 seconds per game.
    • MyChessPlan: ~60 seconds for the entire 100-game pattern.

    Best at:

    • Chess.com Game Review: explaining what happened in a specific game.
    • MyChessPlan: identifying the pattern that keeps happening across games.

    Misses:

    • Chess.com Game Review: pattern-level diagnosis, plan generation, peer benchmarks.
    • MyChessPlan: per-move depth on individual games, openings explorer integration, daily-app workflow.

    Where Chess.com Game Review is genuinely good

    Three things they do well that we want to be honest about:

    1. Engine analysis depth. The Stockfish runs at meaningful depth, especially on Diamond subscription. Per-move evaluations are reliable.
    2. Key Moments feature. Finding the 3-5 turning points in a game is genuinely useful. Saves you from scrolling through every move.
    3. Workflow integration. Built into the chess.com app and website, no second tool to open. The fastest possible “analyze this game I just lost” experience.

    If you only ever want to study one game at a time and you’re already in the chess.com ecosystem, Game Review is hard to beat for that workflow.

    Where MyChessPlan has gaps (we’ll be honest)

    • We don’t do per-game depth analysis. If you want to know exactly what happened in your tournament game last Saturday, Game Review is better.
    • We don’t have an opening explorer. Game Review integrates with chess.com’s opening explorer; we don’t.
    • We don’t have engine play-against. Aimchess and Game Review both let you replay against the engine from a position; we don’t.
    • Lichess support is not live yet. Chess.com only.

    These are real gaps. If any of them matter for your use case, use Game Review (or Aimchess for the dashboard angle — we have a head-to-head here).

    The honest “use both” workflow

    The serious adult improvers we know who use both tools usually run them in this order:

    1. MyChessPlan first (monthly or quarterly): identifies the archetype and the dominant pattern across the recent batch of games.
    2. Chess.com Game Review (per game): used to drill into specific examples of the pattern in individual games. The pattern says “you fail to convert rook endgames” — Game Review shows you the exact moves where you failed in this Saturday’s loss.
    3. Drill based on the named pattern, not on the per-game noise.

    This workflow takes the strength of each tool and avoids both their weaknesses. You get the pattern from MyChessPlan, the per-game depth from Game Review, and the prescription from the archetype’s drill list.

    Related reading

    For the broader market view of these tools, the 3-way comparison piece covers Aimchess and DecodeChess alongside chess.com Game Review. For the head-to-head against Aimchess specifically, the Aimchess comparison drills further. And to understand the framework behind MyChessPlan’s named archetypes, the archetype pillar is the entry point. Our chess.com analysis guide also covers how to combine engine review with pattern detection manually.

    FAQ

    Is chess.com Game Review good?

    Yes, for what it does. It’s the best per-game review tool integrated into a major platform. It’s not a pattern-detection tool, and shouldn’t be evaluated as one.

    What’s a chess.com Game Review alternative?

    If you want per-game depth: Lichess Game Review (free, Stockfish), DecodeChess (positional explainer), or Aimchess (dashboard). If you want pattern-level diagnosis instead, MyChessPlan is the alternative — but it’s a different category of tool, not a direct competitor.

    Is Game Review free on chess.com?

    One per day on basic accounts. Unlimited on Diamond ($14/month). Some restrictions on engine depth at lower tiers.

    How is MyChessPlan different from Game Review?

    Different scope. Game Review: 1 game, per-move analysis. MyChessPlan: 100 games, pattern-level analysis. They answer different questions and work well together.

    Can MyChessPlan replace Game Review?

    No, and we don’t recommend it. They serve different purposes. Use Game Review for “what happened in this game” and MyChessPlan for “what keeps happening across my games.”

    Is chess.com Game Review’s accuracy score reliable?

    Reasonably reliable for game-level summary, less reliable as a coaching signal. CAPS2 is calibrated against engine optimal play, which has known issues at amateur ratings (it weights move complexity differently than a human would). For deeper coverage, we wrote a full breakdown of the accuracy score explaining what it measures and what it misses.

    What about Lichess Game Review?

    Lichess offers a similar Stockfish-based per-game analysis, completely free, often at higher engine depth than chess.com basic. If you’re a Lichess player or just want a free alternative for per-game analysis, Lichess Game Review is excellent. It doesn’t solve the pattern-detection problem either — same scope as chess.com Game Review.

    A note on what “alternative” means here

    Search queries like “chess.com game review alternative” usually fall into two categories. The first is “I want a free or cheaper version of the same per-game analysis tool.” For that intent, the right answers are Lichess Game Review (free, Stockfish, no daily limit), DecodeChess (positional explainer, free tier), or Chessigma (unlimited free, Stockfish 17). All three are solid per-game tools.

    The second category — and the one we serve — is “the per-game review isn’t telling me why I keep losing the same way.” That’s a different problem. It’s not a missing feature in chess.com Game Review; it’s a different category of analysis entirely. MyChessPlan exists for the second category, not the first. If your search was for category one, Lichess is probably your best free move.

    What we hear from users who switched

    The most common feedback from improvers who started using MyChessPlan after years of chess.com Game Review-only workflows is the same observation: per-game review showed them different mistakes each game, but pattern review showed them the same mistake repeatedly. The shift in framing — from “I made 4 mistakes in this game” to “I make this one mistake in 60% of my losses” — tends to be the unlock that produces real rating gain. The diagnosis felt different even when the underlying chess didn’t change.

    This isn’t a knock on Game Review. It’s the observation that reviewing 50 games one-at-a-time and reviewing 50 games as a population produce different insights, and most adult improvers benefit from doing both. The “use both” workflow described above is genuinely the recommendation we’d give someone starting out today.

    The bigger picture: where each tool fits in a study plan

    A reasonable monthly study plan for a 1100-1500 adult improver looks roughly like this: 60-70% of study time on playing rapid games (10+0 or 15+10), 15-20% on tactical drilling, 10-15% on game review (split between MyChessPlan-style pattern detection and Game-Review-style per-game depth), and 5% on opening or endgame study. The tools fit into the 10-15% game-review allocation: pattern detection runs once a month, per-game review runs a few times a week.

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    Players who run only Game Review tend to over-allocate to per-game depth and miss the pattern. Players who run only pattern-detection tools miss the specific examples and lose the ability to walk through “this is what the pattern looked like in this exact game.” Combining the two — once a month pattern, weekly per-game — covers both gaps without overwhelming the time budget.

    Try the free 100-game pattern report

    Compare it next to chess.com Game Review. They answer different questions. Use both.

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  • MyChessPlan vs Aimchess: Free Archetype Report vs Six-Aspect Score (2026 Comparison)

    MyChessPlan vs Aimchess: Free Archetype Report vs Six-Aspect Score (2026 Comparison)

    Aimchess and MyChessPlan both promise to find your chess weaknesses by analyzing your games. They share roughly 70% of the use case (intermediate improver wants automated diagnosis) but they diverge meaningfully on the other 30%. This is an honest head-to-head — written by the team behind MyChessPlan, with the limitations and advantages of both spelled out plainly. If you want a broader 3-way comparison including chess.com Game Review, we have that here.

    What each tool actually does

    Aimchess (owned by Play Magnus, acquired by chess.com in 2022) gives you a “six core aspects” diagnostic — Tactics, Endgames, Time Management, Openings, Calculation, and Resourcefulness — each scored on a 0-100 scale based on your last 40-2000 games. It plugs into your chess.com or Lichess account, runs a Stockfish analysis pass, and produces dashboards plus daily training drills calibrated to your weak aspects.

    MyChessPlan takes your last 100 chess.com games, runs Stockfish-based analysis with archetype classification on top, and gives you one of eight named weakness archetypes (Tilter, Blunderer, Bullet Addict, Lost Opener, Failed Converter, Impatient Attacker, Passive Solid, or Balanced) with a 7-day or 30-day plan calibrated to that archetype.

    The core difference: Aimchess gives you six numerical scores, MyChessPlan gives you one named pattern. Both are diagnostics. They use the diagnosis differently.

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    Who each tool is built for

    Aimchess’s product design assumes a daily-engaged improver who treats chess as a routine — open the app, see the dashboard, do the daily drill, track progress over weeks. The tool is at its best when used 4-6 times a week. Think of it as Duolingo for chess weakness training: streaks matter, daily check-ins matter, the dashboard rewards habitual use.

    MyChessPlan’s product design assumes a quarterly-engaged improver who runs a diagnostic, takes a 30-day plan, executes it offline (chess.com games + drills + the printable PDF), and runs another diagnostic at the end. Think of it as a yearly physical: comprehensive snapshot, prescriptive output, you go off and do the work, come back for the next checkup. The tool isn’t designed for daily logins — it’s designed for monthly or quarterly diagnostic cycles.

    Players who don’t think about which workflow fits them tend to be disappointed by whichever tool they pick. The fix is matching the tool to the rhythm: daily-app rhythm picks Aimchess, quarterly-diagnostic rhythm picks MyChessPlan.

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    Side-by-side feature comparison

    Pricing model:

    • Aimchess: free tier (40 games analyzed, limited drills), Pro at $7.99/month or $59.88/year billed annually. Free trial available.
    • MyChessPlan: free archetype report on 100 games, no credit card. Optional $14.99 one-time PDF for a 30-day plan with daily drills, repertoire suggestions, and Day-30 re-test. No subscription.

    What you get free:

    • Aimchess free tier: dashboard with the six scores, limited drill access, sample of premium content. Cap on number of games analyzed.
    • MyChessPlan free: full archetype identification on 100 games + 7-day starter plan + benchmark vs peer band. No drill cap.

    Diagnosis approach:

    • Aimchess: six independent dimensions, each with a numeric score. Better for “I want a granular dashboard.”
    • MyChessPlan: one named pattern that integrates across dimensions. Better for “tell me the one thing to fix.”

    Game volume:

    • Aimchess: variable — can analyze hundreds or thousands of games on Pro.
    • MyChessPlan: fixed at last 100. Trade-off: less data but faster (60 seconds vs Aimchess’s 5-15 minute initial sync) and tighter pattern detection.

    Daily training:

    • Aimchess: daily drills generated from your weak aspects, accessible in-app. Genuinely good if you’ll log in daily.
    • MyChessPlan: drill list bundled in the 7-day or 30-day plan, format is paper/PDF rather than in-app. Better if you prefer a checklist over an app.

    Integration:

    • Aimchess: deep chess.com integration (browser extension, daily insights). Now owned by chess.com so the integration is the deepest in the market.
    • MyChessPlan: chess.com username import, no extension required, no chess.com login needed.

    Try the free archetype report (no card, no signup)

    60 seconds. Last 100 chess.com games. One named pattern + a 7-day plan. The honest comparison continues below.

    Where Aimchess is genuinely better

    Three places, plainly:

    1. Longer history. Aimchess can pull thousands of games. If you want a 6-month trend on time management, Aimchess’s dashboard is built for it. MyChessPlan’s 100-game window is a snapshot, not a longitudinal view.
    2. Granular dimensions. If you already know roughly what’s wrong and want to track six separate scores over time, the six-aspect dashboard is the right tool. MyChessPlan deliberately collapses to one pattern, which is the opposite design choice.
    3. Daily-app workflow. Aimchess’s daily insights and drill flow is a habit-forming product. If you’d actually log in every day, the daily nudge is worth the $7.99/month for the right user.

    If you’re a player who wants dashboards, longitudinal tracking, and a daily-use app, Aimchess is the better fit. We’d send you there.

    Where MyChessPlan is genuinely better

    Also three places, also plainly:

    1. One named pattern beats six scores for action. Telling someone “your Calculation is 62 and your Resourcefulness is 71” is information; telling them “you’re an Impatient Attacker” is a directive. The named-archetype framing tends to produce more behavior change because it’s specific enough to act on.
    2. No subscription tax. Free report with no card, $14.99 one-time for the 30-day plan. Aimchess Pro is $59.88/year billed annually. For an improver who runs the diagnostic quarterly rather than daily, the no-subscription model is materially cheaper.
    3. 60 seconds, no signup. The friction-to-first-result is meaningfully lower. Drop your chess.com username, get an archetype, no email required. Only the upgrade requires email.

    If you’re a player who wants a fast, specific, named diagnosis without committing to a recurring product, MyChessPlan is the better fit.

    Where MyChessPlan has gaps (we’ll be honest)

    We don’t yet have:

    • Longitudinal tracking. Run the report twice and you can compare manually, but there’s no built-in trend dashboard.
    • In-app daily drills. The drills come bundled in the report PDF, not as a daily-tap app experience.
    • Lichess support. We’re chess.com-only for now (Lichess support is on the roadmap).
    • Coach mode for clubs. Aimchess has a club/team mode; we don’t.

    If any of those four are non-negotiable, Aimchess is the right pick.

    The honest decision tree

    Pick Aimchess if: you’ll log in daily, want longitudinal trends, prefer dashboards to one-pattern diagnoses, are coaching a team, or already pay for chess.com Diamond and want the deepest integration.

    Pick MyChessPlan if: you want a fast specific diagnosis without subscription, prefer “the one thing to fix” over six scores, are running the diagnostic quarterly rather than daily, or want a 30-day printable plan.

    Use both: some improvers use MyChessPlan for the named-archetype diagnosis and Aimchess for daily drill execution. The two tools don’t conflict — Aimchess gives you scores, MyChessPlan gives you a name. Reading them together is genuinely useful.

    A note on chess.com ownership

    Chess.com acquired Aimchess in 2022 (via the Play Magnus Group acquisition) and Chessable in 2021. This isn’t a knock — chess.com runs both as semi-independent products and they remain genuinely good — but if you want a tool with no commercial relationship to chess.com, MyChessPlan is one of the few independent options. Decode Chess and Sensei Chess are also independent. Knightly and Chessigma are independent. Aimchess is not.

    We mention this because it occasionally matters to players who want their improvement diagnosis from a source separate from the platform they play on. Most players don’t care, and that’s reasonable.

    Run the 60-second diagnostic — independent, free, no card

    Last 100 chess.com games. One named archetype. 7-day plan. Compare it side-by-side with whatever else you’re using.

    Related reading

    If you want the broader 3-way comparison (Aimchess vs DecodeChess vs Chess.com Game Review), we wrote that piece here. If you want the head-to-head against chess.com’s built-in Game Review specifically, the Chess.com Game Review comparison covers it. And if you want to understand the archetype framework that drives the MyChessPlan diagnosis, the archetype pillar is where to start. The full set of named archetypes lives on the archetypes page.

    FAQ

    Is Aimchess worth it?

    For a daily-engaged improver who wants longitudinal tracking and dashboards: yes, $7.99/month is reasonable. For a quarterly-engaged improver who just wants a diagnosis: probably not — the free MyChessPlan report covers that use case.

    Can I use both Aimchess and MyChessPlan?

    Yes, and many players do. They serve overlapping but distinct purposes — Aimchess for ongoing dashboards, MyChessPlan for archetype-named diagnosis and 30-day plans.

    Does MyChessPlan support Lichess?

    Not yet. Chess.com only at the moment. Lichess support is on the roadmap but no firm date.

    Is MyChessPlan free or paid?

    The archetype report on 100 games is free, no credit card. The 30-day premium PDF plan is a $14.99 one-time purchase, no subscription, no recurring charge.

    Which is more accurate?

    Both use Stockfish-based analysis, so the underlying engine evaluation is the same. The difference is interpretation: Aimchess scores six dimensions, MyChessPlan classifies one archetype. Neither is “more accurate” — they answer different questions.

    Does Aimchess work for Lichess players?

    Yes. Aimchess supports both chess.com and Lichess. MyChessPlan currently supports chess.com only. If you primarily play on Lichess, Aimchess is the more practical choice today.

    How often should I run a MyChessPlan archetype report?

    Every 4-8 weeks for active improvers. The report needs roughly 100 fresh games to be representative — running it more often than once a month tends to surface the same archetype with marginal differences. Quarterly is also reasonable for slower-cadence players.

    What if my archetype changes between reports?

    That’s usually a sign of real improvement — the dominant pattern got addressed, and a different pattern surfaced. Most adult improvers cycle through 2-4 archetypes on the way from 1100 to 1700, with each transition representing roughly 100-200 rating points of progress. Tracking the archetype changes is itself a useful improvement marker.

    Why named archetypes work (the behavioral case)

    The reason MyChessPlan deliberately uses named archetypes instead of numerical scores is grounded in behavioral research on improvement. Daniel Kahneman’s work on cognitive ease (in Thinking, Fast and Slow) suggests that named categories produce stronger commitment and behavior change than numerical metrics. Saying “I’m a Failed Converter” is psychologically distinct from saying “my Resourcefulness score is 64.” The name carries an action — the score doesn’t.

    Coaching literature reinforces this. GM Jacob Aagaard, in Excelling at Chess Calculation (2004), notes that improvement-stuck players almost always have a named bottleneck their coach identified. The naming is part of the fix. Aimchess’s six-score model is the more analytical tool; MyChessPlan’s named-archetype model is the more behavioral one. Different tradeoffs, both legitimate.

    The “would I personally use both?” answer

    Honestly, yes — for different reasons at different times. We’d use Aimchess if we were running a club training program (the dashboard works for that) or if we wanted longitudinal trend tracking on a specific dimension. We’d use MyChessPlan (full disclosure: we built it) for the diagnostic that produces a name and a directive plan, and for the no-subscription pricing.

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    The clear case for Aimchess Pro: you’ll log in daily and want a habit-forming app. The clear case for MyChessPlan: you want one report a month with a clear “do this for the next 30 days” answer. Most adult improvers fit one of these two profiles cleanly. A few fit both, in which case using both tools sequentially is fine.

    Discover Your Chess Weakness Archetype

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    Get My Free Archetype Report

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  • What Chess.com Accuracy Score Actually Means (And What It Misses)

    What Chess.com Accuracy Score Actually Means (And What It Misses)

    If you’ve ever finished a chess.com game with an 85% accuracy score and still lost, you’ve already discovered the central problem with the metric: accuracy is not the same as good play, and it’s certainly not the same as understanding why you lose. Chess.com’s CAPS2 score is a useful number — but only if you know what it actually measures, and what it quietly leaves out. Here’s the honest breakdown of how the score is computed, why a single-game number is mostly noise, and what to look at instead when your goal is actually getting better.

    How CAPS2 is calculated (the basic formula)

    CAPS — Computer Aggregated Precision Score, currently in its second iteration as CAPS2 — is chess.com’s accuracy metric. The core idea is straightforward: for every move you played, the engine evaluates the position before and after. The difference between the engine’s preferred move and your move (the “evaluation delta,” measured in centipawns) tells the algorithm how much you gave up on that move. Sum that across the whole game, normalize, and you get a percentage between roughly 0 and 100.

    A few details matter. CAPS2 doesn’t weight every move equally — moves in critical positions (where one side has a real choice between meaningfully different evaluations) count more than moves in dead-equal endgames where any reasonable choice is fine. The engine depth used is calibrated to balance speed and reliability — deeper than the in-browser real-time arrow, but not the kind of multi-hour analysis a correspondence player would use. The scoring also gets re-calibrated against rating bands, so a 95% accuracy doesn’t always represent the same wall-clock-perfect play across different time controls and opponent strengths.

    The takeaway: the formula is reasonable, the math is honest, and CAPS2 is a defensible metric for what it’s designed to measure. The problem is that what it’s designed to measure isn’t quite what most players think it measures.

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    Why one-game accuracy is noise

    Here’s the part most players miss: a single-game accuracy score has enormous variance. The same player, with the same skill level, will produce wildly different accuracy scores from one game to the next — not because they played differently, but because the position type changed.

    Three structural reasons:

    • Position complexity drives the score. A 30-move game where most positions had one obvious move scores higher than a 60-move game full of double-edged tactical decisions. Two players of identical strength, one playing a quiet Italian and the other a sharp Najdorf, will post different accuracies even if both played to their normal level.
    • Opponent rating warps the result. When your opponent plays poorly, your “best moves” tend to be more obvious — capture the hanging piece, take the mate. Higher accuracy comes for free against weaker opposition. Against stronger players, the same skill level will produce a lower accuracy because the choices are harder.
    • Decisive games skew toward extremes. A game you crushed in 22 moves often shows 90%+ for both sides because no one had to navigate a difficult middlegame. A long defensive grind looks worse on paper even if the defender played heroically.

    Concrete example: Player A finishes with 85% accuracy and loses. Player B finishes with 75% and wins. What happened? Player A played a 50-move technical game where the few critical moments were all errors — high average, fatal in the moments that mattered. Player B played a tactical slugfest with several inaccuracies but found the one combination that decided the game. Average accuracy missed both stories. Critical-move accuracy — the score on the 3-5 turning points — beats average accuracy almost every time when you’re looking at a single game.

    This is the core reason why obsessing over one game’s CAPS2 leads nowhere. The score is real, the inputs are real, but the signal-to-noise ratio at the per-game level is too low to drive any meaningful change in your training. If you want to use accuracy data productively, you have to zoom out.

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    What accuracy hides

    Even when you average accuracy across many games, it still leaves out the things that actually drive losses. The score is a summary statistic — and like all summary statistics, it compresses away the structure underneath. Specifically, here’s what CAPS2 will never tell you:

    • When in the game your mistakes happen. Two players with identical 78% accuracy can be radically different — one bleeds evaluation in the opening and recovers, the other plays cleanly until move 35 and collapses on the clock. They need opposite training plans. Average accuracy hides the timing.
    • Whether mistakes cluster around specific patterns. If you keep losing to kingside sacrifices when the opposing bishop sits on h7, the accuracy score will register the blunder but won’t see the recurrence. Across 50 games the same motif might trip you up 8 times. CAPS2 sees 8 unrelated blunders. A coach sees a pattern.
    • How time pressure correlates with accuracy. Your accuracy in the first 25 moves at 30 seconds per move is a different metric from your accuracy in moves 30+ at 5 seconds per move. The summary number averages them. The diagnostic insight requires separating them.
    • What kind of player you are. An Aggressor and a Drifter can post the same accuracy in the same game while losing for completely different reasons. The number is identical; the prescription is opposite.

    This is the archetype angle: average accuracy is a thermometer, not a diagnosis. It tells you the patient has a fever. It doesn’t tell you whether it’s a viral infection or a bacterial one. Treating the fever number — drilling random tactics until the score goes up — is exactly the kind of generic improvement work that fails 80% of adult learners.

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    Better metrics for improvement

    If a single CAPS2 number is too noisy and an average across games is too compressed, what should you actually look at? Five metrics give you a more honest picture of your play, and most of them are derivable from the same chess.com data the accuracy score is built on:

    1. Per-phase accuracy

    Split your accuracy into opening (moves 1-15), middlegame (moves 16-30), and endgame (moves 31+). The shape of the breakdown tells you which phase to train. An 85/72/68 player needs middlegame and endgame work despite the strong opening number. A 60/82/85 player has an opening problem masked by middlegame skill. Chess.com’s Insights tab exposes some of this; the rest you can extract by manually flagging the phase of each error in 20 games.

    2. Critical-move accuracy

    Across 50 games, identify the 3-5 critical moments per game — the points where the evaluation could have shifted by half a pawn or more depending on your choice. Track your accuracy on just those moves. This is the metric coaches care about, and it’s typically 10-20 percentage points lower than your overall accuracy because critical moments are the hard ones. Your improvement target is to close that gap.

    3. Blunder rate per phase

    Count blunders (a chess.com Game Review label, or any move that drops evaluation by 2+ pawns) and stratify them by phase. Are 70% of your blunders in moves 30+? You’re Time-Pressured. Are 60% in moves 1-15? You’re Opening-Confused. The distribution names the archetype.

    4. Time-pressure correlation

    For each move, log the time spent. Then correlate move time with move quality. The healthy pattern: moves under 5 seconds are book moves with high accuracy, moves at 30-90 seconds are critical decisions with high accuracy, and moves at 5-15 seconds are routine moves with high accuracy. The unhealthy pattern: critical-decision accuracy collapses when time per move drops below 10 seconds. That’s a clock problem, not a chess problem, and the fix is opening prep and time allocation, not more tactics.

    5. Archetype signal

    The composite of the above four metrics — phase distribution of mistakes, critical-move performance, time correlation, and recurring pattern themes — maps onto one of five archetypes: Aggressor, Drifter, Time-Pressured, Opening-Confused, or Endgame-Soft. Each archetype has a different training prescription. The full archetypes guide walks through each profile in detail. The point is that the archetype is a diagnosis — actionable in a way a single accuracy number never is.

    How to actually use accuracy in your improvement loop

    None of the above means CAPS2 is useless. It just means you have to use it correctly. Here’s a simple framework that respects what the score is good for and routes around what it’s not:

    1. Don’t react to single-game accuracy. A 92% on Tuesday and a 68% on Wednesday isn’t a story about your play. It’s a story about position complexity. Stop screenshotting one-game results.
    2. Track the rolling 30-game average. A trend line of your last 30 games’ accuracy is meaningful — it smooths out per-game variance and reflects actual skill drift. If the line is climbing, your training is working. If it’s flat for three months, the training plan isn’t matching your actual weakness.
    3. Use accuracy as a phase-distribution filter, not a verdict. When your overall average is good but your endgame phase score is bad, that’s the lesson. Train the gap, not the average.
    4. Layer pattern analysis on top. Once a month, pull your worst 10 games and look for recurring themes — the recurring kingside sacrifice you miss, the recurring time scramble at move 28, the recurring inability to convert +2 endgames. The themes are what an accuracy score can’t see, and they’re what changes your rating.
    5. Re-diagnose when your rating moves. Your archetype shifts as you improve. The Time-Pressured 1200 might be an Opening-Confused 1400 six months later. Re-run the diagnosis when your rating drifts 100+ points so the training plan stays calibrated.

    If you want to do this manually, the four-step coach-style review in our guide on analyzing chess.com games like a coach walks through the workflow on a per-game basis — write your reasoning before reading the engine, classify the loss, find the recurring theme, build one drill from the pattern. It’s the same logic the better accuracy metrics aim at, just done by hand.

    If you want the 100-game pattern view in 60 seconds instead of 6 hours, that’s exactly what we built MyChessPlan for. The free report classifies your last 100 chess.com rated games into one of 5 archetypes, breaks down your accuracy by phase, flags your time-pressure correlation, and produces a 7-day starter plan calibrated to your rating band. It’s not a replacement for the analysis habit — it’s a way to skip the bookkeeping so you can spend your time on the drill, not the spreadsheet. And if you’ve felt stuck on the same losing patterns no matter how many games you play, our deep-dive on why you keep losing the same way covers the cognitive science underneath.

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  • How Many Chess Games Should You Analyze Per Week? (Honest Answer)

    How Many Chess Games Should You Analyze Per Week? (Honest Answer)

    Every chess coach on YouTube tells you to analyze every game you play. Every adult improver with a job, kids, and a 9pm Lichess habit knows that’s impossible. So what’s the actual number? After running thousands of chess.com game analyses through MyChessPlan and watching what correlates with real rating gains, the honest answer is: 2 to 3 deep reviews per week, plus one 100-game pattern view per month. Less than that and you don’t move. More than that and analysis crowds out the playing reps you also need. Here’s why that number works, and why “analyze every game” is bad coaching for adults.

    The myth of “analyze every game”

    The “analyze every game” advice comes from junior chess academies in the 1980s, where 12-year-olds had 4 hours of free time after school and a coach physically present. In that environment, post-game analysis is the whole point — the playing was just raw material for the lesson. The advice was correct in context. It’s mostly nonsense in 2026 for an adult improver playing 30 rapid games a month between meetings.

    There are three reasons the advice fails for amateurs. First, attention is finite — analyzing a 50-move game with any care takes 25–45 minutes, and after the third one in a session your retention collapses. Second, most of your games don’t have anything to teach. A 12-move miniature where the opponent hung a queen is not pedagogically interesting; it’s a free rating point. Third, single-game analysis blinds you to the pattern view — the diagnosis of how you lose across many games — which is where the actual improvement leverage lives.

    The honest framing: analysis is not a moral duty. It’s a tool. Use enough to extract the lesson, then stop. The opportunity cost of over-analyzing is not playing, not drilling tactics, and not sleeping — all of which compound rating better than your fourth review of the week.

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    The 50/50 play-vs-analyze rule

    The cleanest heuristic comes from sports psychology, not chess: for every hour you spend competing, spend roughly an equal hour reviewing. In a chess context, this maps to: if you play 4 hours of rapid a week, spend 2–4 hours on analysis-adjacent work. That doesn’t all have to be your own games. It includes watching annotated GM games, working through a Chessable course, or studying an endgame book. The “analyze” half is broader than just clicking through Game Review.

    For the typical adult improver — 5–10 hours of chess a week — the 50/50 rule decomposes like this:

    • 3 hours playing rated rapid or classical (your competitive reps).
    • 1 hour deep analysis of 2–3 of your own games (one win, one loss, optionally one critical draw).
    • 1 hour skim analysis — clicking through 5–10 of your other games at speed, just spotting turning points.
    • 1 hour pattern study — tactics, openings, or endgame drills targeted to your archetype weakness.
    • 30–60 min watching annotated games from a player 200–400 points above you (Daniel Naroditsky speedruns are gold for the 1000–1800 band).

    That’s the 50/50 rule made concrete. Notice that “deep analysis of your own games” is only one slice — the smallest one. Most adult improvers who feel guilty about not analyzing enough are actually doing roughly the right amount of own-game work and missing the other categories entirely.

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    Deep vs scan analysis (when each works)

    Not all analysis is the same. Two formats do completely different jobs, and conflating them is why most adults feel like their analysis isn’t moving their rating.

    Deep analysis: 25-40 minutes per game, 2-3 games per week

    Deep analysis is the coach-style review. You write your thoughts before checking the engine. You categorize the loss into tactics, strategy, time, or opening. You find the one move where you’d realistically have spotted the better continuation if you’d been more careful, and you write that takeaway in plain English. The output is a single sentence per game — “I keep trading queens when I’m a pawn up because I want simplification, but the resulting endgame is harder than the middlegame.” That sentence becomes a drill target for the next week.

    Deep analysis builds calculation discipline. It rewires the moment of decision at the board. It is irreplaceable, and it is also expensive. The cost is why you cap it at 2–3 games a week. Beyond that, retention drops below the threshold where the lesson actually transfers to your next game. Our GM-style deep analysis guide walks through the candidate-moves method that makes each session worth the time.

    Scan analysis: 3-5 minutes per game, 5-15 games per week

    Scan analysis is different work. You click through the game once, at speed, looking only for the turning point — the move where the evaluation flipped by more than 0.8 pawns. You don’t read the engine line. You just note when it happened (move 14? move 31?) and what kind of mistake it was (tactical miss, slow positional drift, time pressure).

    Scan analysis builds the pattern view. It tells you, after 20 games, that 60% of your decisive mistakes happen between moves 25 and 35 — which means your problem isn’t openings or tactics, it’s middlegame stamina. That’s a diagnosis you can’t get from one deep review, no matter how careful. It’s only visible across the distribution of many games.

    The two formats are complementary. Deep analysis without scan analysis means you fix one mistake per week without ever knowing if it’s the most important one. Scan analysis without deep analysis tells you where the wound is but never closes it. You need both.

    The 100-game shortcut

    The most useful single artefact for an improving adult player is a 100-game pattern report — a structured view of your last 100 rated games with phase-by-phase centipawn loss, opening-exit evaluation distribution, time-trouble flag rate, conversion rate from winning positions, and a frequency count of recurring tactical and positional motifs you miss. This is what a $400 coaching package builds for you over four weeks of homework. It’s also what MyChessPlan generates in 60 seconds.

    The 100-game view is not a replacement for deep weekly analysis — it’s the input that tells you which weekly analyses to do. If your report says you exit the opening at -0.8 in 55% of games and your conversion rate from +2 positions is 38%, the deep review priorities for the next month write themselves: one opening repair session, two endgame conversion sessions, and the rest of your time goes to playing and tactics. Without the 100-game view, you guess.

    A reasonable cadence for the pattern view: re-run it once a month, or any time your rating moves 100+ points in either direction. Your weakness profile shifts as your skill changes — the Time-Pressured 1200 may be an Opening-Confused 1450 four months later, and training to fix the old wound while ignoring the new one is the most common reason “analysis” stops paying off.

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    A realistic weekly schedule by life stage

    The 50/50 rule scales — but only honestly if you scale it to the time you actually have, not the time you wish you had. Three realistic schedules below.

    The busy adult (5 hours/week total)

    1. 2 sessions of rapid play (3 games each, ~90 minutes total).
    2. 1 deep analysis on Sunday morning (45 min, your worst loss of the week).
    3. 2 quick scans mid-week (5 min each, just spotting turning points).
    4. 1 monthly 100-game refresh (60 min, replaces one deep session that week).
    5. 30 min tactics spread across the week on phone (Chess Tempo or Lichess Puzzle Storm).

    The committed improver (8-10 hours/week)

    1. 3-4 sessions of rapid or classical (~4 hours).
    2. 2 deep analyses per week (one win, one loss; ~75 min total).
    3. 1 hour of scan review across 8-12 other games (mid-week, 5-7 min each).
    4. 90 min targeted drilling on the weakness flagged by your 100-game report.
    5. 1 hour annotated GM-game watching (Naroditsky, Hess, or Aman speedruns at your band).

    The serious adult improver (12+ hours/week)

    1. 5+ hours play, mostly classical with one rapid session.
    2. 3 deep analyses (cap at 3 — beyond that retention drops).
    3. 2 hours scan analysis.
    4. 3-4 hours opening + endgame study, structured around your archetype.
    5. Bi-weekly 100-game refresh instead of monthly.

    The schedules above assume you actually want to climb. If your goal is recreational chess — and that’s a perfectly valid goal — analyze whatever feels fun and ignore the schedule. The sport doesn’t owe you a structured improvement curve unless you’re chasing one.

    Common mistakes when deciding how much to analyze

    Five mistakes I see repeatedly in MyChessPlan user threads:

    1. Analyzing every game superficially. Five 5-minute reviews extract less learning than two 30-minute reviews. Depth beats breadth on the deep-analysis side.
    2. Skipping wins. Wins teach what works under pressure. A win where you held +0.3 the whole game is more informative than a loss where you were down a piece by move 12. Aim for a 1:1 wins-to-losses ratio in deep review.
    3. Analyzing only with the engine on. If you read the eval before forming your opinion, you learn nothing — your brain rationalizes the engine line as obvious. Always write your thoughts first, then check.
    4. Ignoring scan analysis. Scanning 10 games for turning points is half an hour and produces the pattern view that tells you which deep reviews matter. Most adults skip it because it feels less “serious.” That’s exactly backwards.
    5. Re-running the 100-game view too often. Once a month is plenty. Re-running it weekly because your rating moved 30 points is noise-chasing — Glicko swings 50 points in a single session for many adult players.

    Frequently asked questions

    Should I analyze blitz and bullet games too?

    Generally no — at least not deeply. Blitz and bullet games are dominated by time pressure and pre-moves, so the “mistake” you’re analyzing is usually just clock collapse, not a real chess decision. Use them for opening repertoire reps and pattern recognition, not for deep review. The exception: scan-analyze your blitz games to spot opening lines where your win rate as Black drops below 40% — those are repertoire holes worth fixing.

    Is chess.com Game Review enough or do I need a real engine?

    For 99% of improvers under 2000, chess.com Game Review (or Lichess analysis) is more than enough engine power. Stockfish at depth 22 already plays at roughly 3500 strength — you do not need depth 40 to find your blunders. The bottleneck for amateurs isn’t engine accuracy; it’s the human work of writing a clear takeaway sentence and turning it into a drill. Our chess.com analysis guide covers the workflow.

    How long until 2-3 deep reviews per week shows up in my rating?

    Most adult improvers who run the 50/50 schedule honestly for 8–12 weeks gain 80–150 rating points, with the bulk arriving in weeks 6–10 (the lag between learning a pattern and reliably executing it under clock pressure is real). If you’re seeing nothing after 12 weeks, the problem usually isn’t the analysis volume — it’s that you’re analyzing the wrong games. Re-run a 100-game pattern view to recalibrate which weakness to attack next.

    What if I only have 1 hour of chess time per week?

    Don’t analyze. Spend the hour playing one rapid game and one tactics session. At that volume, analysis has negative return — you’ll forget the lesson before next week’s session anyway. Save the analytical work for life stages where you have at least 3–4 hours of total chess time. There’s no shame in just enjoying the game.

    Does the 50/50 rule apply to over-the-board (OTB) tournament players?

    Yes, but with a twist. OTB games are richer per-game (longer time controls, higher stakes, more memorable moments) so you can extract more from each one. A reasonable OTB schedule: deep-analyze every classical game you play, scan-analyze your rapid sidegames, and run a 100-game online pattern view monthly to keep your archetype diagnosis current. The 5 archetypes guide covers how OTB and online weakness profiles often diverge.

    The honest answer, summarized

    Two to three deep reviews per week, plus a monthly 100-game pattern view, plus 5–10 quick scans of your other games. Less than that and you stagnate. More than that and the analysis crowds out playing, drilling, and resting — all of which compound rating in ways analysis can’t. The “analyze every game” advice is junior-academy folk wisdom that doesn’t survive contact with adult time constraints. Pick the schedule that fits your actual life, run it for 8–12 weeks, and trust the process.

    If you want the 100-game pattern view without the manual scan work, that’s exactly what we built MyChessPlan to deliver. Run yours here. And if your deep weekly reviews keep flagging the same losing patterns, the recurring-pattern guide is probably your next read.

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  • How to Analyze Chess Games Like a GM (Without Being One)

    How to Analyze Chess Games Like a GM (Without Being One)

    Watch a grandmaster like Daniel Naroditsky stream a chess.com speed-run and you’ll notice something: he barely uses the engine. He talks through positions in plain English — “Black wants to play c5 here, but the d-file gets ugly,” — and only checks the engine to confirm. That’s because GMs analyze games using the candidate moves method, not engine evaluations. Here’s the 5-step framework borrowed from Alexander Kotov’s Think Like a Grandmaster (1971), updated for adult improvers in 2026.

    What GMs do that amateurs don’t (the candidate-moves habit)

    The amateur analysis loop: open Game Review, read the engine’s recommended move, nod, click next. Total reps spent thinking: zero. The GM loop: in every critical position, list 2-3 candidate moves, evaluate each in plain English, pick the one with the soundest justification, and only then check what the engine prefers. Total reps spent thinking: high.

    Kotov’s idea, written 50+ years ago, is that you don’t get better at chess by being told the right move. You get better by being forced to choose between three plausible moves and then being right or wrong. The engine is a verification tool. It is not a teaching tool.

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    Step 1: Identify the critical moments before opening the engine

    Most games have 3-5 critical moments — positions where the game tilts decisively. The other 35 moves are either book, automatic, or recovery. Your job in step 1 is to find the 3-5 moments without engine help.

    Replay your game at 5 seconds per move. Pause when:

    • Material balance changes (a piece is taken, a sacrifice happens).
    • The pawn structure changes irreversibly (a pawn breaks, files open).
    • One side castles or chooses not to castle.
    • A long think happened — your clock ran 2+ minutes on a single move.
    • An exchange offer was made or declined.

    Mark these positions. They’re your critical moments. Now you analyze.

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    Step 2: Assess the position in plain English (no engine evals)

    Before considering moves, describe the position. Use Silman’s framework from How to Reassess Your Chess — the 5 imbalances:

    1. Pawn structure — who has the better long-term pawns?
    2. Minor pieces — who has the better bishop/knight?
    3. King safety — whose king is more exposed?
    4. Space — who has more squares to maneuver?
    5. Initiative — who is making threats?

    Write 2-3 sentences in your own words. “White has a slightly better pawn structure but Black’s bishop pair is dangerous; my king is exposed because I haven’t castled yet.” That sentence is the foundation; every candidate move is judged against whether it improves or worsens the imbalance you care about.

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    Step 3: Compare candidate moves systematically

    At a critical moment, list 3 moves you’d consider. Not 1, not 5 — exactly 3. Kotov was specific about this number because more than 3 candidates fragments your calculation, and fewer than 3 means you didn’t really consider alternatives.

    For each candidate, write what it does in plain English. Example:

    • Move A: Bg5 — pins the knight, but the bishop can be chased by h6.
    • Move B: e5 — gains space, locks in my bishop on c1.
    • Move C: Nbd2 — solid development, slow.

    Now pick. Once you’ve picked, then open the engine. The engine might prefer C even though A felt sharpest. The lesson is in the gap: why did you favor the sharp move? What about your evaluation of “the bishop can be chased” was actually fine?

    Step 4: Find the “lesson move” not the “best move”

    This is the most underused step. Engines tell you the best move. The best move is often a 5-move tactical sequence you’d never spot in a real game. The lesson move is the move that, if you’d known the principle, you would have found.

    Example: engine says +1.4 with Bxh7+. The whole line goes Kxh7 Ng5+ Kg8 Qh5 Rfe8 Qxf7+ Kh8 Ne6. You’re never going to calculate that in a real game at 1400 rapid. The lesson move is: “open the h-file when you have queen and knight near it.” That’s drillable. The exact sequence isn’t.

    Translate every “best move” into a “lesson move.” That’s where actual learning happens.

    Step 5: Convert insight into one drill

    After analyzing 1 game with steps 1-4, you should have one drill. Not five drills, not “I need to study tactics.” One concrete, time-boxed activity for the next 5 days. “Drill 25 puzzles tagged kingside-sacrifice.” Or “play 3 rapid games where I write down candidates before move 15.” Or “watch 1 Naroditsky game on the Caro-Kann.”

    Without the drill step, analysis stays intellectual. The drill is what writes the new pattern into your decision making.

    Automating GM-level review with AI (the 60-second alternative)

    The 5-step framework is the gold standard. It’s also slow — 30-60 minutes per game done well. Most adult improvers can do this for 1-2 games per week, max.

    The shortcut for the other 98 games: feed them to a tool that does steps 1-3 across the archive automatically. MyChessPlan flags critical moments, identifies imbalance patterns across 100 games, and reports the recurring lesson moves — the same outputs as the manual GM workflow, just aggregated and automated. Sample report here.

    Use both. Manual GM-level review on 2 games a week for the deep learning. Automated 100-game view monthly for the pattern-level diagnosis. Our coach-style guide covers the manual workflow in detail; this post covered the GM-specific candidate-moves layer on top.

    Three GM analysis habits worth stealing immediately

    Beyond Kotov’s candidate-moves method, modern GMs share three small habits that compound into big improvements when amateurs adopt them:

    1. Annotate one move per game in plain English. Pick the most interesting move you played and write 2 sentences about why. Not the engine’s move — yours. After 30 games, you have a notebook of your own thinking patterns. Naroditsky does versions of this on his streams; Vladimir Kramnik built his entire repertoire from longhand annotations as a teenager.
    2. Compare your move to a database move. Use the chess.com Opening Explorer or Lichess masters database. After your game, see what 2400+ players played in the same opening position. The gap between their move and yours is a 30-second free lesson. Aronian and Nakamura have both said in interviews this was their core teenage study habit.
    3. Replay a single GM game weekly. Same GM, same opening, weekly. Pattern transfer happens through volume in narrow areas. Watching one Caruana Petroff game won’t help. Watching 12 of them across 12 weeks will.

    What separates 2000 from 2200 (and why it matters even at 1500)

    The IM-to-GM gap isn’t that GMs see more — it’s that they evaluate faster and they trust their evaluations enough to act on them. At 1500, the equivalent shift is from “I don’t know what to play” to “I’m going to play this and find out.” Decisiveness, not ignorance — making the best move you can identify in 30 seconds beats agonizing for 4 minutes and playing the same move with 90 seconds less on the clock.

    The candidate-moves method enforces this. Three candidates, brief evaluation of each, pick one, move on. Repeat 30 times in a game and your time management resolves itself. Our rating-band plateau guide covers why decisiveness training matters most at the 1500-2000 band specifically.

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  • Aimchess vs DecodeChess vs Chess.com Game Review: 2026 Compared

    Aimchess vs DecodeChess vs Chess.com Game Review: 2026 Compared

    If you’re tired of clicking through Game Review one game at a time and want something that actually gives you a plan, three tools dominate the conversation in 2026: Aimchess, DecodeChess, and Chess.com Game Review. They’re not the same product. They solve different slices of “I want my chess analyzed for me.” Here’s an honest breakdown of where each one wins, where each one fails, and the gap none of them fill.

    Disclosure upfront: MyChessPlan is a competing tool. We’re not pretending otherwise. We’ll be specific about what each tool does well — and we’ll be specific about what we do differently at the end.

    The 3 tools chess players keep comparing in 2026

    These three keep showing up in chess.com forum threads and Reddit r/chessbeginners because they each pitch some version of “stop using a raw engine, get an explanation.” That’s the promise. Execution varies wildly.

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    Aimchess: strengths and where it fails

    Strengths: Aimchess pioneered the multi-game pattern view in 2020. It pulls your chess.com or Lichess archive, runs Stockfish across all your games, and gives you weekly drill targets — tactics in your weak motifs, opening repertoire shoring up, etc. The dashboard is the cleanest in the category. The puzzle drills are auto-targeted to motifs you actually miss in real games.

    Where it fails: the free tier is basically useless past the first week — you get a teaser report and then a paywall. Pricing was around $9-15/month last we checked, which is fine, but for an adult improver who isn’t sure they’ll stick to the habit, that’s a friction point. Aimchess also doesn’t classify you into a player-type archetype — it gives you skill scores (Tactics, Endgame, Time, etc.) but stops short of saying “you’re a Time-Pressured Drifter, focus here for 7 days.”

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    DecodeChess: strengths and where it fails

    Strengths: DecodeChess does deep position-by-position explanations using natural language. Where Stockfish says “Bxh7+ +2.4”, DecodeChess says “Bxh7+ wins because after Kxh7 Ng5+ the king has no flight squares and Qh5 mates.” For a 1100 player who can’t yet read engine lines, that translation layer is genuinely useful. The free tier gives 3 game decodes per day, which is a reasonable taste.

    Where it fails: it’s single-game by design. You learn from one game at a time. There is no aggregate view — no “across your last 100 games you keep missing this motif.” Pricing has fluctuated; full-feature plans land around $7-12/month. If your problem is “I want to understand this game better,” DecodeChess shines. If your problem is “I want to know what to train next,” it doesn’t help.

    chess.com Game Review: strengths and where it fails

    Strengths: built into the platform you already use, frictionless. Game Review uses CAPS2 accuracy, classifies moves (Best, Excellent, Good, Inaccuracy, Mistake, Blunder, Brilliant, Great), gives a one-line “key moments” list, and lets you replay against the engine. For a free account you get a limited number per day; Diamond members get unlimited. For most casual players, this is the only review they’ll ever do — and it’s better than nothing.

    Where it fails: single-game by design and tuned for engagement, not improvement. The “Brilliant!” badge gets dished out generously enough that it loses meaning. Accuracy scores swing 20+ points based on position complexity, not skill. There’s no aggregate weakness view across games, no archetype, no training plan. It tells you what happened in one game; it doesn’t tell you what to do next month.

    None of them tell you your archetype

    MyChessPlan classifies your last 100 chess.com games into 5 weakness archetypes. Free. No subscription gate.

    Feature comparison table

    Feature Aimchess DecodeChess Chess.com GR MyChessPlan
    Free tier useful past day 1 Limited Yes (3/day) Limited Yes (full report)
    Aggregate 100-game view Yes No No Yes
    Player-type archetype No (skill scores) No No Yes (5 archetypes)
    Natural-language move explanations Light Deep Light Light
    Personalized 7-day plan Yes (paid) No No Yes
    Pricing (full features) ~$9-15/mo ~$7-12/mo Diamond ~$14/mo Free

    The gap none of them fill (pattern-level diagnosis)

    Here’s the gap. Aimchess gives you skill scores. DecodeChess explains one game. Chess.com Game Review gives you accuracy and a “key moments” list. None of them say: “You are a Time-Pressured Aggressor, 78% confidence, your real problem isn’t tactics — it’s that you burn 4 minutes on move 12 and then play the next 25 moves on premove. Here’s a 7-day plan to fix the time allocation specifically.”

    That gap is the entire reason MyChessPlan exists. The output isn’t engine evaluations or skill scores — it’s a player-type archetype with a confidence score and a calibrated training plan. Same Stockfish under the hood; different layer of insight on top.

    When to use which (decision tree by use case)

    • You want to understand one tough loss: DecodeChess.
    • You’re a chess.com Diamond member already and want quick reviews: Game Review.
    • You want auto-targeted puzzles in your weak motifs: Aimchess (paid).
    • You want to know your weakness archetype + a personalized plan, free: MyChessPlan.
    • You want all four: use the free tier of each, see which dashboard you actually open every week.

    If you’ve never run an aggregate analysis on your games, start with the free archetype report. Our coach-style analysis guide walks through the manual version of the same workflow if you want to do it yourself first.

    What about Lichess Insights and free Stockfish analysis?

    Two honorable mentions left out of the main comparison because they solve different problems. Lichess Insights is the closest free alternative to Aimchess for skill metrics — it gives you opening performance, time management stats, and accuracy by phase, all aggregated across your Lichess archive. The catch: it only works on Lichess games. If you play exclusively on chess.com, Insights doesn’t help. If you’re a Lichess player, it’s the best free dashboard available.

    Free Stockfish analysis (via the Lichess analysis board, or a local SCID install) is the underlying engine, no UI layer. For the dedicated player who wants raw evaluations and is willing to translate them, it’s free forever and gives the same Stockfish output every paid tool relies on. The cost: hours of your time interpreting numbers. The Game Review / Aimchess / DecodeChess / MyChessPlan layer all exist to convert engine output into something actionable.

    Bottom line: which one should you start with?

    If you’ve never run any kind of analysis: start with Chess.com Game Review on your last 5 games. Build the habit. Don’t pay for anything until the habit sticks.

    Once the habit is real, layer in one aggregate tool. If you want skill scores and auto-targeted puzzles, Aimchess on a 1-month trial. If you want the player-type archetype with no paywall, MyChessPlan free. If you want to deep-dive specific tough games, DecodeChess on the free 3-per-day tier.

    Don’t subscribe to multiple tools at once — you’ll dilute the habit and stop using all of them. Pick the one whose dashboard you actually open every Monday morning. Our coach-style analysis guide covers what to do with the output once you have it; the archetypes pillar covers the framework MyChessPlan uses for classification.

    Free, no subscription gate

    60 seconds. Last 100 chess.com games. Archetype + plan. No credit card.

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