MyChessPlan

Tag: stockfish

  • How to Analyze Your Own Chess Games: A Tool Guide for Adult Improvers

    How to Analyze Your Own Chess Games: A Tool Guide for Adult Improvers

    Most adult improvers analyze their games backwards. They lose, they feel annoyed, they paste the game into an engine, they watch a red bar spike on move 23, they mutter “should’ve seen that,” and they close the tab. Twenty minutes spent, almost nothing learned. The engine told them where the game went wrong but not why their thinking went wrong — and the “why” is the only part that transfers to your next game.

    Game analysis is the single highest-leverage habit available to a working adult with limited study time. You already paid the tuition by playing the game; review is where you collect on it. But the tools have quietly gotten so strong that they now do your thinking for you, which feels productive and teaches you remarkably little. This guide walks through the major analysis tools, what each is actually good for, and a four-pass method that keeps you — not Stockfish — in the driver’s seat.

    Why engine-first review fails adult improvers

    An engine evaluates positions; it does not explain decisions. When Stockfish says a move loses 1.8 pawns of advantage, that number is true and almost useless on its own. You didn’t blunder because you lacked a 3500-rated calculator in your head. You blundered because you stopped checking your opponent’s threats, or you had no plan and grabbed a pawn, or you were short on the clock and moved on feel.

    Those are thinking-process errors, and an engine is blind to them. It will happily show you a brilliant ten-move line you could never have found over the board, which is entertaining and trains nothing. The skill that actually raises your rating is catching your own recurring decision failures — and you can only catch those if you do the thinking before you turn the engine on. This is the same reason a high puzzle rating often fails to show up in real games: the format trained pattern recall in isolation, not decision-making under live conditions.

    The tools, and what each one is genuinely for

    There is no single best tool — there are tools that fit different jobs. Here is how the main options actually stack up for someone reviewing their own games.

    Lichess Analysis Board

    Free, fast, and the most under-used training environment online. The Analysis Board lets you walk moves without the engine on, write text comments on positions, and only then toggle a local Stockfish. Its “Learn from your mistakes” feature replays your inaccuracies as puzzles you must solve yourself — the closest any free tool comes to teaching the why. For most adult improvers this is the workhorse.

    Chess.com Game Review

    The most polished experience: move classifications (Brilliant, Blunder, Miss), a “key moments” digest, accuracy scores, and a coach-style narration. The polish is also its trap. The classification labels feel like understanding but are really just an engine delta with a friendly sticker. Excellent for spotting where things broke and surfacing your most critical moment; weak at making you reconstruct your own reasoning. Full reviews require a paid membership.

    Stockfish (standalone, via a GUI)

    The raw engine everything else is built on. Running it yourself in a desktop GUI gives you depth control, multi-line (MultiPV) output, and zero hand-holding. This is overkill for casual review but valuable when you want to interrogate one critical position deeply — set it to show three candidate lines and compare the plans, not just the numbers. If you ever wondered what “accuracy” and “centipawn loss” really measure, it is worth understanding what those metrics actually tell you and where they mislead before you anchor on them.

    A plain board and a notebook

    Not a joke, and not nostalgia. Reviewing a game on a physical board with the engine closed forces the recall and visualization that build over-the-board strength. Many coaches insist on at least one engine-free pass for exactly this reason.

    Tool Best job Cost Risk
    Lichess Analysis Full self-review + replay-your-mistakes Free Plain UI, easy to over-rely on engine toggle
    Chess.com Review Fast “where did it break” + key moment Paid (full) Labels feel like insight; they aren’t
    Stockfish GUI Deep dive on one critical position Free Overkill; trains nothing if used passively
    Board + notebook Building visualization and recall Free Slow; no error-checking safety net

    The four-pass method: think first, verify second

    The order matters more than the tool. This method works in any of the environments above and takes 15–25 minutes per game. The principle is simple: the engine stays off until pass three.

    Pass 1 — Replay your emotions (2 minutes)

    Click through the game once and mark — out loud or in a comment — every point where you felt something: confident, confused, rushed, surprised. Emotion is a reliable flag for the moments where your decision-making was actually tested. You are building a list of positions to investigate, not judgments yet.

    Pass 2 — Re-decide, engine off (8–12 minutes)

    Return to each flagged position and genuinely re-solve it as if it were a puzzle. What were the candidate moves? What was your opponent threatening? What was your plan? Write a one-sentence answer for each. This is the pass that does the work, and it is the one almost everyone skips. It mirrors the candidate-move process you should be using over the board — review is just that same process, slowed down with no clock pressure.

    Pass 3 — Verify with the engine (3–5 minutes)

    Now turn it on. For each flagged position, compare what you concluded to what the engine says. You are not looking at the eval bar across all 40 moves — you are checking your reasoning at the three or four moments that mattered. When the engine disagrees, ask which of your assumptions was wrong, not just which square was better.

    Pass 4 — Write one transferable lesson (2 minutes)

    Close the game with a single sentence you could apply next week: “I stop checking my opponent’s threats once I have an attack,” or “I trade into endgames I haven’t actually calculated.” One sentence, logged somewhere you will re-read it. A stack of these sentences becomes the most valuable study document you own.

    How many games, and which ones

    You do not need to analyze everything. Review your losses and your hardest draws — wins teach less because nothing forced you to think. Two or three deep reviews a week beats skimming twenty games with the engine narrating. Depth compounds; breadth evaporates. If you are unsure how to fit this into a realistic weekly routine, it slots naturally into a study plan built around your actual available time rather than an idealized one.

    Where the patterns live

    Here is the payoff that no single tool gives you: the same lesson sentence will start showing up again and again. Three weeks of pass-four notes and you will see it — you don’t have a thousand random weaknesses, you have three or four recurring decision failures that cost you most of your points. That recurring shape is your archetype, and naming it is what turns scattered review into targeted improvement.

    That is exactly what MyChessPlan was built to surface. Take the free archetype report to identify your dominant decision pattern in a few minutes, and if you want a structured plan that turns it into weekly training, the $14.99 premium plan maps your archetype to specific drills and a review routine. The tools above tell you what happened in one game; the goal is to learn what keeps happening across all of them.

    The bottom line

    The best analysis tool is the one used in the right order. Lichess for most reviews, Chess.com for a fast critical-moment scan, a standalone engine when one position deserves a deep look — but in every case, your own thinking comes first and the engine only verifies. Do that consistently and game review stops being a chore you skim and becomes the most efficient rating-builder you have.

  • Centipawn Loss vs. Accuracy: What These Chess Metrics Actually Mean

    Centipawn Loss vs. Accuracy: What These Chess Metrics Actually Mean

    Open any post-game report on Chess.com or Lichess and two numbers stare back at you: an accuracy percentage and an average centipawn loss (ACPL). Most improving players treat them like a school grade — 92% accuracy feels like an A, an ACPL of 45 feels like a C-minus, and the instinct is to chase the higher number game after game. That instinct quietly stalls more adult improvers than almost any opening they could pick badly.

    After auditing hundreds of game reports from club-level players, the pattern is consistent: the metric isn’t lying, but it isn’t measuring what you think it is. This guide breaks down what each number actually represents, why two players with identical accuracy can be on completely different improvement trajectories, and how to read these metrics the way a coach does instead of the way a leaderboard does.

    What Average Centipawn Loss Actually Measures

    A centipawn is one hundredth of a pawn — the engine’s base unit for measuring an advantage. If a position is evaluated at +1.00, the engine thinks one side is up the equivalent of a clean pawn. Average centipawn loss is the average evaluation drop, in centipawns, across all of your moves in a game, measured against the move the engine considered best.

    So an ACPL of 30 means that, on average, each of your moves gave back about a third of a pawn compared to the engine’s top choice. Crucially, this is an average of regret, not a count of mistakes. That distinction is the entire reason the metric gets misread.

    Why averages hide the story

    Imagine two games, both finishing at an ACPL of 35:

    • Game A: 39 near-perfect moves and one catastrophic blunder that hung a piece (a 700-centipawn swing on move 24).
    • Game B: 40 slightly imprecise moves, each leaking 30–40 centipawns, with no single disaster.

    The number is identical. The diagnosis is opposite. Game A is a calculation-and-blunder-check problem — your play is fundamentally sound but one lapse cost the game. Game B is a positional-understanding problem — you don’t actually know where the pieces belong, and the engine quietly disagrees with you a dozen times a game. Training advice that fixes one will do nothing for the other. This is exactly why an aggregate score, taken alone, can send you to the wrong drills for months.

    Accuracy Is a Repackaged Version of the Same Number

    The accuracy percentage you see is not an independent measurement. Both Chess.com and Lichess derive accuracy from the same per-move evaluation losses that feed ACPL, run through a conversion formula that maps centipawn loss onto a 0–100 scale. Lichess publishes its formula openly; it converts the “win percentage” lost on each move into an accuracy figure and averages it. Chess.com uses its own proprietary curve.

    Two consequences follow, and both matter for how much you should trust the number:

    1. Accuracy is non-linear, so it flatters won games

    Because the conversion is based on win probability rather than raw evaluation, a mistake made in a position that’s already winning barely dents your accuracy — the win probability hardly moves whether you’re up +6 or +5. The same size error in a balanced position craters it. This is deliberate and reasonable, but it means a 95% accuracy game where you were winning from move 10 tells you far less than an 80% accuracy game fought in a sharp, equal middlegame. High accuracy in easy positions is not evidence of strong play.

    2. The numbers are not comparable across platforms

    An 85% on Lichess and an 85% on Chess.com are not the same achievement, because the curves differ and the engines, depths, and even the definition of an “inaccuracy” differ. Comparing your accuracy to a friend’s on a different site, or to a streamer’s, is meaningless. The only valid comparison is you against yourself, on one platform, over time.

    How a Coach Reads These Numbers (The Three-Layer Method)

    Instead of asking “was my number good?”, strong players interrogate the report in three layers. This is the framework we build the personalized plans around, and you can run it manually on any analyzed game.

    Layer 1: The shape of the loss, not the size

    Open the move list and look at where the centipawns leaked. Is it one cliff (a blunder) or a gentle slope (chronic imprecision)? Sort your errors by magnitude. If 80% of your total centipawn loss comes from one or two moves, you have a vigilance problem, not a knowledge problem — and no amount of positional study will fix a hung queen. If the loss is spread evenly across fifteen quiet moves, the reverse is true.

    Layer 2: The phase where the loss happens

    Tag each significant error by phase: opening, middlegame, or endgame. A player with an ACPL of 25 whose entire loss is concentrated in the first ten moves has an opening-preparation gap that’s trivially fixable. The same ACPL spread across rook endgames points somewhere completely different — toward technical endgame study like the Lucena and Philidor positions every tournament player needs. The aggregate number is identical; the curriculum is not.

    Layer 3: The position type, not the move

    This is where the engine’s own blind spots matter. Modern engines like Stockfish and Leela evaluate positions differently from each other, and both can flag a perfectly sound human move as an “inaccuracy” simply because it isn’t the sharpest computer line. We covered this in depth in our look at the turning points engine reviews routinely miss. When the report dings you for a “mistake” that kept the position simple and within your skill, that’s often a better practical decision than the engine’s preferred razor’s edge. Reading these metrics well means knowing when to overrule the machine — something we explore further when comparing Stockfish and Leela as training partners.

    The Trap: Why Chasing Accuracy Stalls Improvement

    Here’s the uncomfortable mechanism. Accuracy and ACPL reward not losing centipawns, and the easiest way to not lose centipawns is to avoid complexity. A player optimizing for the number learns, often unconsciously, to trade pieces early, steer toward dry positions, and decline sharp lines — because simple positions have fewer ways to drop evaluation. Their reports get prettier and their real strength flatlines, because strength is built precisely in the messy positions they’re now avoiding.

    This is the metric equivalent of studying for the test instead of learning the subject. The improvers who break through plateaus are usually the ones whose accuracy gets worse for a stretch — they’re deliberately playing sharper, less familiar structures, accepting more errors now to build patterns that pay off later. If your accuracy has been climbing while your rating sits still, that mismatch is the single most useful signal in your entire report. It almost always means you’ve optimized your style around the scoreboard.

    A Practical Reading Routine for Your Next Game

    Run this every time, and the numbers become a coach instead of a grade:

    • Ignore the headline number for the first 60 seconds. Go straight to your two largest single-move losses and understand them before you ever look at the average.
    • Ask “blunder or drift?” One cliff means train vigilance and calculation; a slope means train positional understanding and plans.
    • Tag the phase. Opening losses are the cheapest to fix; endgame losses are the highest-leverage to fix.
    • Check the difficulty discount. Was your high accuracy earned in a sharp equal game, or handed to you in a position that was already winning?
    • Watch the trend, never the single game. Ten games on one platform tell a story; one game tells you almost nothing.

    Done consistently, this turns a vanity metric into a diagnostic. The number stops being something to chase and becomes a map of exactly which skill to train next — which, conveniently, is the entire job of a training plan.

    Frequently Asked Questions

    What is a good average centipawn loss for a club player?

    As a rough guide, players around 1200–1500 often post an ACPL in the 50–80 range, 1500–1800 lands roughly 35–55, and 1800–2100 tends toward 20–40 — but these are descriptive, not targets. ACPL drifts with the sharpness of your games and the engine depth used, so a “good” number in a wild tactical game differs from one in a quiet positional grind. Track your own trend rather than aiming at a universal threshold.

    Is accuracy the same on Chess.com and Lichess?

    No. Both derive accuracy from per-move evaluation loss, but they use different conversion formulas, different engines, and different analysis depths. An 85% on one platform does not equal 85% on the other. Only compare your accuracy against your own past games on the same site.

    Can a high-accuracy game still be a bad game?

    Yes, frequently. Because accuracy is weighted by win probability, errors made while already winning barely register. A 95% accuracy score earned in a position you were dominating from the opening reveals far less about your skill than a hard-fought 80% in a balanced, complex middlegame.

    Should I always trust the engine when it flags a “mistake”?

    Not blindly. Engines reward the objectively sharpest move, which is sometimes a line no human should enter over the board. A move that keeps the position simple and within your skill can be the stronger practical choice even when the engine marks it down. Reading these reports well means knowing when your decision was better for a human than the computer’s.

    Stop Grading Your Games — Start Diagnosing Them

    Accuracy and centipawn loss are genuinely useful, but only once you stop reading them as a report card and start reading them as a symptom list. The number tells you something happened; the three-layer method tells you what and what to do about it.

    That diagnostic step is exactly what MyChessPlan automates. Get your free chess archetype report to see which type of player you are and where your centipawns are really leaking — or go straight to the $14.99 personalized improvement plan, which reads your actual games, separates your blunders from your drift, and hands you the specific drills for your weakest phase instead of a number to chase.


  • Free Chess Analysis Tools Without Signup in 2026: A Coach’s Audit of 7 Tools That Cut Through the Marketing Noise

    Free Chess Analysis Tools Without Signup in 2026: A Coach’s Audit of 7 Tools That Cut Through the Marketing Noise

    Most adult improvers spend more time hunting for a chess analysis tool than actually analyzing their games. The signup walls don’t help: enter your email, verify your account, accept the newsletter, configure your profile — and only then do you get to paste a PGN. By the time you’ve done all that, the urgency that pulled you into the analysis (that brutal loss last night, the missed mating net) has cooled, and you walk away without the lesson.

    In 2026 the no-signup category has matured. You can analyze a game, compare an engine line, study a tabiya, or pattern-drill a tactical motif without ever touching a form. I coach adult improvers in the 1200–1900 range, and I’ve spent the past month running every reasonably credible free analysis tool through the same diagnostic set: a Class B player’s losing streak (three games, three different opening systems, one shared mistake). Here’s the honest audit.

    What “Without Signup” Actually Means in 2026

    The phrase has been hijacked by tools that let you click around but lock the actually useful features (depth control, evaluation graphs, multi-line PV, opening explorer) behind an account. For this audit, I held tools to a strict bar: you can paste a PGN, run engine analysis at a usable depth, and read the resulting evaluation graph and key moments without creating an account, accepting cookies-as-tracking, or surrendering an email.

    That bar disqualified more tools than I expected. ChessTempo’s analysis trainer requires login. Chess.com’s Game Review caps free analysis volume and pushes you to upgrade. Aimchess locks the diagnostic. Most “free AI chess coach” startups that launched in late 2025 lure you with a homepage demo, then gate the actual report.

    The 7 Tools That Passed the Audit

    1. Lichess Analysis Board — The Quiet Standard

    Lichess’s analysis page (lichess.org/analysis) remains the benchmark. Paste a PGN, click “Request a computer analysis,” and you get Stockfish 16+ evaluation, an interactive evaluation graph, blunder/mistake/inaccuracy markers, and an opening explorer in under fifteen seconds. No login. No email. No upsell.

    The catch: the public cloud analysis depth is capped lower than what a logged-in user gets. For most Class C through Class A games, this doesn’t matter — the engine still finds the critical moments. For sharp tactical positions where you want depth 30+, you’ll feel the ceiling.

    Use when: you want a fast, honest second opinion on a single game.

    2. Stockfish Online (stockfish.online) — Pure Engine, No Frosting

    If you want raw Stockfish without any platform UX, this is it. Paste a FEN, get an evaluation and best line. No PGN parsing, no graph, no commentary — just the position and the engine’s verdict.

    I use it as a sanity check against Lichess’s cloud analysis when an evaluation feels off. The depth control is honest (you set it, you wait for it), and the API is exposed if you want to script anything.

    Use when: you’re testing a specific position, not auditing a whole game.

    3. SimpleChess.com — The Underrated Single-Game Viewer

    SimpleChess offers a clean PGN viewer with engine analysis baked in. It loads fast, runs Stockfish in your browser (which means analysis quality depends on your machine, not their server), and won’t ask you for anything. The UI is plain, which is the point.

    It’s also the friendliest tool for showing a game to someone who isn’t a chess platform native — no clutter, no notifications, no sidebar of unrelated lessons.

    Use when: you want to share a single annotated game with a non-Lichess user.

    4. Chess.com PGN Analysis (Limited Path) — Still Useful with Caveats

    Chess.com’s analysis board (chess.com/analysis) lets you paste a PGN and use the browser-based engine without an account. You don’t get Game Review (their proprietary commentary layer), and they nudge you toward signup, but the position evaluation and best-line display work.

    If you live in the Chess.com ecosystem and just need a quick check, it’s there. If you’re starting fresh, Lichess is the better default.

    Use when: you’re already on Chess.com and don’t want to context-switch.

    5. Lichess Studies (Public View) — For Reading Annotated Games

    Anyone can view a Lichess study chapter without an account. This is huge for adult improvers who want to learn from strong players’ annotated games: search “Hikaru studies site:lichess.org” or similar, and you’ll find hundreds of public chapters with PGN, arrows, and prose commentary.

    You can’t author or edit without an account, but for consumption-only this is one of the most underrated free chess resources online.

    Use when: you want to learn from someone else’s analysis, not produce your own.

    6. MyChessPlan Free Archetype Report — Pattern-First Diagnostic

    Full disclosure: this is our tool. The free archetype report at mychessplan.com accepts a PGN export (typically your last 20–50 games) and returns a written diagnostic identifying which of four player archetypes — Tactician, Strategist, Attacker, or Defender — your decisions actually match, plus the three repeating decision patterns showing up across your losses.

    It’s different from the others on this list because it doesn’t analyze one game; it analyzes the pattern across many games. An engine tells you that move 23 was a blunder. The archetype report tells you that the same kind of move-23 keeps showing up in every losing game you’ve played for the past three months, and what training will actually address it.

    Use when: you’ve already engine-analyzed individual games and you’re stuck in a rating band you can’t break.

    7. ChessVision.ai Board Scanner — For Position Capture

    If your game is locked in a screenshot, a tournament hall photo, or a PDF — and you need a FEN — ChessVision’s free scanner does the job without signup. Upload, get a FEN, paste it into Lichess or Stockfish Online.

    It’s not analysis. It’s the missing piece that lets you analyze positions trapped in images.

    Use when: the position you want to analyze exists only as a picture.

    What This Audit Revealed About the Free Tier in 2026

    Three things stood out across the diagnostic set.

    First, engine quality is no longer the differentiator. Every tool above runs Stockfish 16 or stronger. The question isn’t “does this find the blunder” — it’s “does this help you understand why you blundered.” That’s a workflow problem, not an engine problem.

    Second, single-game analysis has been commoditized; pattern analysis hasn’t. Six of the seven tools above show you what happened in one game. Only one (the archetype report) tells you what’s repeating across many. That gap is where most adult improvers actually lose rating, and most free tools don’t address it.

    Third, the signup wall is doing real damage to amateur improvement. Watching the same Class B player run the same losing pattern across three games — Friday night blitz, Saturday morning rapid, Sunday classical — I noticed something: the games she did analyze were the ones where the tool let her start in under ten seconds. The games she didn’t analyze were the ones gated behind verification flows. The signup wall isn’t just an annoyance; it’s a selection filter on which lessons you actually absorb.

    A Workflow That Uses These Tools Together

    If you want a no-signup analysis routine that actually moves your rating, here’s what I have my students do:

    After each session: drop the PGN into Lichess Analysis Board. Walk through the engine’s flagged moments. Spend ninety seconds on each, no more.

    Once a week: export your last 20 games and run them through the MyChessPlan free archetype report. Compare the pattern it identifies to your week’s Lichess analyses. If the same theme shows up in both, that’s your training target for the next week.

    For positions you can’t import: ChessVision’s scanner → Stockfish Online for raw evaluation.

    For learning from masters: public Lichess studies. Search the player’s name plus “study” or “lichess.org/study.”

    This stack costs zero dollars, requires zero accounts, and addresses both the single-game tactical layer (engine analysis) and the multi-game pattern layer (archetype report) where most rating gains actually come from.

    Where MyChessPlan Fits

    The free archetype report tells you what’s repeating. The $14.99 personalized improvement plan tells you what to do about it: a four-week, archetype-specific training protocol with weekly check-ins. It’s the layer on top of free analysis, not a replacement for it.

    If you’ve already engine-analyzed your games and you still don’t know why your rating won’t budge, the personalized plan is the next logical step. If you’re still in the “I just want to see if I missed a tactic” stage, stay with the free stack above.

    Related Reading

    For more on the analysis layer, see our breakdown of Stockfish vs Leela Chess Zero for adult improvers and the Lichess vs Chess.com training-quality audit. For the pattern layer specifically, the turning-points framework explains what engine reviews systematically miss.

    Frequently Asked Questions

    Can I really analyze chess games without an account in 2026?

    Yes. Lichess Analysis Board, Stockfish Online, SimpleChess, the public-view layer of Lichess Studies, and the MyChessPlan free archetype report all allow real engine analysis with no signup. The quality is sufficient for most Class C through Class A games.

    Which no-signup tool is best for a single game?

    Lichess Analysis Board. Paste the PGN, request cloud analysis, read the eval graph. Total time: under thirty seconds, no account needed.

    Which no-signup tool is best for finding patterns across many games?

    The MyChessPlan free archetype report is the only one in this audit designed for cross-game pattern analysis rather than single-game engine review. It identifies your decision archetype and three repeating patterns from a PGN of your recent games.

    Why do some “free” chess tools still ask for an email?

    Newsletter signup is the standard monetization fallback for free analysis sites. The audit above filtered for tools that don’t require it even at the cost of feature parity — meaning some passed-the-bar tools have a slightly leaner UX than their gated equivalents.

  • Stockfish vs Leela Chess Zero: Which Chess Engine Should Adult Improvers Use for Honest Game Analysis in 2026

    Stockfish vs Leela Chess Zero: Which Chess Engine Should Adult Improvers Use for Honest Game Analysis in 2026

    Ask three strong club players which engine to use for game review and you will get three confident answers and zero shared methodology. One swears by Stockfish at depth 30 because “the number is the truth.” Another runs Leela Chess Zero (Lc0) and claims it explains moves in a way Stockfish cannot. A third uses whichever engine the Chess.com Game Review tab serves up that day and never thinks about it again.

    If you are an adult improver between roughly 1200 and 2000, this disagreement matters. Your post-game review is where most of your learning happens, and the engine you choose is silently shaping what you believe about your own games. Use the wrong one for the wrong question and you will internalize the wrong lessons for years.

    This is a coach’s audit of Stockfish versus Leela Chess Zero in 2026, written for the player who wants honest analysis rather than tribal loyalty. We will compare what each engine actually shows you, where each one lies to you, and how to combine them so your post-game reviews start producing rating points instead of cosmetic dopamine.

    The Architectural Difference That Changes Everything You See

    Stockfish and Lc0 are not “the same engine with different settings.” They are philosophically different approaches to chess, and that difference reaches all the way down into the evaluations you see on your screen.

    Stockfish is an alpha-beta search engine with a neural network evaluation (NNUE) layered on top of classical, hand-tuned chess knowledge. It calculates extraordinarily fast, prunes aggressively, and treats chess as a problem of forced sequences. When Stockfish gives you +1.2 on move 18, that number is the output of a search tree that resolves to concrete tactics, often 25 to 40 plies deep.

    Leela Chess Zero uses a different paradigm. It is a deep convolutional neural network trained via self-play, paired with Monte Carlo Tree Search (MCTS). Lc0 does not “calculate” in the human sense. It estimates the probability of winning from a given position based on patterns absorbed from billions of training games. When Lc0 shows +1.2, it is closer to saying “from positions that look like this, I have historically won about 73% of the time.”

    For an adult improver, that distinction has practical consequences. Stockfish excels at sharp, tactical, calculable positions. Lc0 excels at quiet, positional, strategically loaded positions where the best move is not the start of a forced sequence but the start of a long, slowly accumulating advantage. Choose the wrong tool for the position and you will get answers that are technically correct but pedagogically useless.

    Where Stockfish Gives You Honest Feedback

    Stockfish is the right engine when your question is “Did I miss a tactic?” or “Was my candidate move calculable?” If the position contains a concrete sequence that wins material or delivers mate, Stockfish will find it faster and more reliably than Lc0, and it will hold its evaluation across long calculation chains.

    For typical adult-improver reviews, Stockfish is the workhorse for three categories of question. First, blunder detection — Stockfish at depth 22 or higher will flag any move that drops material or allows a forced loss. Second, tactical post-mortems — when you suspect you missed a combination, Stockfish’s principal variation will show you the exact sequence and the resulting evaluation. Third, endgame technique — in concrete endgames with limited material, Stockfish’s tablebase-aware analysis is effectively a closed solution. You can trust it.

    The honest weakness: Stockfish can be tactically dazzling but strategically tone-deaf. It will sometimes recommend a move that wins a small evaluation point but leads to a position no human can actually play. For an adult improver, “best by 0.3 but unrecognizable” is not a useful answer.

    Where Leela Chess Zero Tells You Things Stockfish Cannot

    Lc0 is the right engine when your question is “Why is this position better for one side?” or “What’s the long-term plan here?” In closed positions, fortress evaluations, opposite-side castling races, and queenless middlegames with structural imbalances, Lc0 frequently sees plans 20 moves ahead that Stockfish only discovers by accident, if at all.

    The reason is statistical. Lc0’s training corpus has seen millions of games arising from your exact pawn structure, and it knows — in a way the search-based engine does not — which side tends to win from here and why. That gives Lc0 a kind of positional intuition that, while sometimes wrong in tactical skirmishes, is uniquely useful for teaching adult improvers what “good positions” actually feel like.

    If you are working on positional understanding — and most players stuck between 1400 and 1900 are bottlenecked exactly there — Lc0 is the engine that will most often tell you something you did not already know. This is the same reason archetype-aware training matters so much for adults: different players need different feedback signals, and matching the engine to the question is part of how strong adult improvers actually train.

    The Hidden Failure Mode Both Engines Share

    Neither engine is built to teach you. Both will happily give you an evaluation without explaining the human-relevant reason. A +1.4 from Stockfish or Lc0 tells you the position is better, but it does not tell you what concept you need to internalize so you do not miss the same thing in 50 future games.

    This is the trap of engine-only review. You watch the eval bar swing, you make a mental note that move 22 was bad, you close the tab, and three weeks later you blunder the same idea against a different opponent. The engine never built a transferable lesson, because evaluations are not lessons.

    The fix is to pair the engine output with a human framework. After every engine flag, you should be able to answer three questions: what category of mistake was this (calculation, positional, opening, time pressure), what archetype-specific weakness does it expose, and what training drill would prevent it. If you cannot answer those questions on your own, that is where a structured plan starts to earn its keep — and it is also why pure engine review tends to miss the actual turning points in your games.

    A Practical Workflow for Adult Improvers in 2026

    Here is the workflow we recommend to mychessplan.com members for honest, time-efficient post-game review.

    Step 1 — Self-review before the engine. Spend 10 minutes annotating your game by hand. Mark moves where you were unsure, moves you almost played but rejected, moments where the position changed character. This is the single highest-leverage step, and skipping it is the most common reason engine review fails to improve adult players’ ratings.

    Step 2 — Stockfish pass. Run Stockfish at depth 22+ for a tactical scan. Confirm or refute every “I think I missed something here” note from Step 1. Flag every blunder and missed mate. This pass takes five minutes and catches concrete errors.

    Step 3 — Lc0 pass on positional moments. Re-run any quiet, strategic, or unclear positions through Lc0. Pay particular attention to moves where Stockfish gave 0.2 to 0.6 evaluations — that is the band where engine philosophies disagree most, and where you learn the most by comparing them.

    Step 4 — Convert findings into a training task, not a memory. A blunder becomes a tactics-set assignment. A missed plan becomes a positional study. A time-pressure error becomes a clock-management drill. This is the step that turns review into rating points instead of regret.

    Which Engine Should You Actually Install?

    For most adult improvers, the practical recommendation is to install Stockfish locally (it is free, open source, and runs natively on every desktop OS) and use a cloud Lc0 instance for second-opinion checks on positional moments. Running Lc0 well requires a GPU; running Stockfish well requires only a modern CPU. The cost-benefit for casual home use favors Stockfish as the daily driver.

    If you primarily play and review on Chess.com or Lichess, you already have Stockfish access built into the platform. Use it. For Lc0 access without local installation, Lichess provides a Leela cloud option in its analysis board. Between those two free resources, you have an institutional-grade analysis stack that would have cost a coach a small fortune to assemble a decade ago.

    The Honest Bottom Line

    Stockfish and Lc0 are not competitors for your loyalty. They are complementary instruments measuring different aspects of the same position. The adult improvers who get the most out of engine review treat them as a paired toolkit, not a religious choice, and they always layer human judgment on top of the numbers.

    If you want a faster path than building this workflow yourself, that is exactly what we built MyChessPlan for. The platform identifies your chess archetype, pulls your recent Chess.com or Lichess games, and produces an engine-augmented review that translates evaluations into the specific drills your archetype needs next.

    Start with the free archetype report at mychessplan.com to identify whether you are a Tactician, Strategist, Attacker, or Defender — that single result changes which engine output matters most for your improvement. Players who want full game-by-game review with archetype-aware training plans can upgrade to the $14.99 premium plan, which includes monthly post-mortem audits and a personalized 90-day rating roadmap.

    Frequently Asked Questions

    Is Stockfish stronger than Leela Chess Zero in 2026?

    In raw playing strength on standard hardware, Stockfish has held a small but consistent edge over Lc0 in TCEC and Computer Chess Championship results through 2026. For adult-improver analysis, however, “stronger” is the wrong question — accuracy of the evaluation, not playing strength, is what matters, and the two engines offer different strengths.

    Can I just use Chess.com’s Game Review instead of running engines myself?

    Chess.com Game Review uses Stockfish under the hood and is sufficient for blunder detection and basic tactical feedback. It is not sufficient for positional questions, opening preparation, or archetype-aware training. For adult improvers serious about gaining rating, pair it with a structured plan rather than treating it as the entire review.

    Do I need a GPU to run Leela Chess Zero?

    For competitive playing strength, yes — Lc0 is dramatically faster on a GPU than CPU. For occasional second-opinion analysis on positional moments, the CPU version or a cloud instance through Lichess is adequate. Most adult improvers do not need a local GPU setup.

    How deep should I run Stockfish for game review?

    Depth 22 to 26 is the practical sweet spot for adult-improver review. Going deeper than 30 produces diminishing returns and rarely changes the human-relevant conclusion. Time spent on depth past 26 is usually better spent on a second-opinion pass with Lc0 or on converting findings into training drills.

  • Chess Game Turning Points: How to Identify the Critical Moments AI Engines Miss in Your Post-Game Review

    Chess Game Turning Points: How to Identify the Critical Moments AI Engines Miss in Your Post-Game Review

    Every adult improver knows the drill: lose a game, paste the PGN into Lichess or Chess.com, watch the evaluation bar bounce, and click through the engine’s red question marks. Forty minutes later, you’ve memorized that 16.Nxd5 was a blunder, -2.4 — and learned almost nothing transferable. That’s because the engine isn’t telling you where your thinking broke. It’s telling you where your moves broke. Those are very different problems, and confusing them is the single biggest reason post-game analysis fails to translate into rating gains.

    This piece is for the player who wants to extract real lessons from each game — the kind that show up in your next tournament, not just in your engine review history. We’ll cover what turning points actually are, why AI engines systematically miss them, and a four-pass review protocol that surfaces the moments where you actually need to grow.

    What a Turning Point Really Is (And Why It’s Almost Never Where the Engine Flags It)

    A turning point in a chess game is the position where the trajectory of the game changed because of a decision, not just because of a tactical oversight. Engines flag moves where the evaluation swings — a +0.3 position becomes -1.8 after one move. That’s a blunder. A turning point is broader: it’s where a player committed to a plan, a structure, or an exchange that determined what the rest of the game would look like.

    Here’s a concrete example most adult improvers will recognize. You’re playing a Caro-Kann. On move 12 you trade your light-squared bishop for a knight without considering the long-term structure. The engine shrugs — evaluation barely moves. But by move 25 your kingside is full of holes that your opponent’s queen is using as a highway. The engine flags move 28 as the blunder. The real turning point was move 12. The blunder on 28 was just the bill coming due.

    Engines can’t catch this because they evaluate positions, not narratives. Stockfish on depth 30 sees that move 12 keeps the position objectively equal — and it’s right. What it can’t see is that the equal position it accepts is one you can’t navigate, while a slightly worse position would have been one you understood. This is why two players of identical rating can play the same opening line and one wins consistently while the other loses: the playable-for-me factor is invisible to the engine.

    Why Most Engine Reviews Don’t Improve Your Rating

    The standard engine review workflow optimizes for the wrong thing. It tells you what was objectively best, not what was learnable. After a few months of this, players develop what coaches call “engine review fluency without playing improvement” — they can articulate why every move in their lost game was wrong, but their next ten games look exactly the same.

    This problem compounds with chess.com’s Game Review feature and similar automated tools. They highlight blunders, mistakes, and inaccuracies based on centipawn loss. But centipawn loss is a measurement, not a diagnosis. A 200-centipawn loss because you missed a six-move tactical sequence is a completely different lesson than a 200-centipawn loss because you didn’t understand the resulting endgame. The engine treats them as equivalent. You shouldn’t.

    If you’re stuck at a rating plateau, our deep-dive on prophylactic thinking explains a related diagnostic gap: engines reward you for spotting threats after they exist, but improvement comes from preventing the position where the threat could appear at all.

    The Four-Pass Turning Point Review Protocol

    Here’s a structured approach that consistently surfaces lessons your engine alone won’t. Each pass takes 10–15 minutes for a 40-move game. You don’t do all four passes for every game — pick based on what kind of game it was (more on that below).

    Pass 1: The Decision Audit (Without the Engine On)

    Replay your game on a board — physical or digital, but with engine analysis turned off. At each of your moves, ask one question: Did I make a decision here, or did I just play a move? A decision is a choice between two or more candidate moves where you can articulate why you picked one. A non-decision is a move you played because it “looked normal” or because you didn’t see anything better.

    Mark every non-decision move. These are your blind spots. Engines won’t flag them because most are objectively fine. But they represent the moments your improvement curve actually depends on — the positions where, with more pattern recognition or planning skill, you’d be making real choices instead of drifting.

    Pass 2: The Plan Continuity Check

    Now ask: What was my plan on moves 1–15? On 16–25? On 26 onward? Strong players can answer this for almost every game they play. Weak post-game reviews skip this entirely. Most losses below 2000 happen because the player ran out of plan, started reacting move-by-move, and slowly degraded their position without any single catastrophic move.

    If you can’t articulate your plan during a phase of the game, you weren’t playing one. That phase contains your real turning point — not the move where the engine flagged a blunder, but the move where you stopped having a reason for your moves.

    Pass 3: The Engine Pass (Filtered)

    Now turn the engine on. But ignore everything except the moves you flagged in Pass 1 and the phase transitions you identified in Pass 2. For each of those moments, compare what you played to what the engine suggests, and ask: What general principle would have led me to the better move?

    This filter is critical. Without it, you’ll get distracted by engine criticism of moves that were fine for your level. With it, you focus engine analysis on positions you’ve already identified as decision-relevant. The engine becomes a tutor for your specific blind spots, not a list of mistakes to memorize.

    Pass 4: The Pattern Bank Entry

    Pick the single most important turning point you found. Write it down in your own words: the position, what you played, what was better, and — most importantly — the recognition pattern that would have helped you see it during the game. “When my opponent’s knight reaches d5 in a Maroczy structure, I should immediately consider trading it” is a pattern. “Move 18 was -1.4 according to Stockfish” is not.

    One pattern per game review. Twenty games per month. Two hundred and forty patterns per year. That’s how strong players’ intuition is actually built.

    Which Games Deserve Which Passes

    Adult improvers don’t have time to do four-pass reviews on every game. Here’s a triage system based on what kind of game it was:

    Wins where you weren’t sure why you won: All four passes. These are the most under-analyzed games in chess. If you don’t know why you won, you can’t replicate the conditions that produced the win.

    Losses where you knew you were lost early: Passes 1, 2, and 4. The engine pass adds little — you already know the position became bad. The question is why your plan failed.

    Losses where you blundered in a winning position: Passes 3 and 4 only. This is a calculation or time-management failure, not a strategic one. See our piece on per-move time budgeting if this pattern recurs.

    Draws where you should have won: All four passes. These contain the highest-value lessons in your entire game library and most players never review them at all.

    How This Maps to Your Archetype

    Different player archetypes need different things from game analysis. Tacticians tend to over-focus on the engine pass — they want the concrete refutation and skip the planning audit. Strategists do the opposite: they articulate beautiful narratives about every game and ignore the engine’s concrete tactical corrections. Attackers re-analyze every attacking attempt and skip endgames where they were ground down. Defenders do the reverse.

    The four-pass protocol is designed to force you out of your default review mode. If you’re a tactician who hates Pass 2, that’s exactly why you need it. If you’re a strategist who skips Pass 3, that’s the pass that’s hiding your improvement. For more on this, see our breakdown of calculation training by archetype.

    Putting It Into Practice This Week

    Don’t try to overhaul your whole review process at once. Try this instead: pick the next three games you play, regardless of result. Do the full four-pass protocol on those three games. Skip your normal engine review for everything else that week. At the end of the week, look at your three written pattern entries and ask: Could I have produced these lessons with my old review method?

    If yes, your old method was working fine. If no — and for most players the answer is no — you’ve just found a higher-leverage way to spend your study time.

    If you want a more personalized version of this analysis, MyChessPlan’s free archetype report identifies which of the seven weakness patterns is currently costing you the most rating points, based on your last 60 chess.com games. That tells you which of the four passes deserves the most weight in your reviews. The free archetype report takes under two minutes. For players who want the deeper diagnostic, the $14.99 personalized improvement plan turns the archetype into a six-week study schedule built around the kinds of turning points you specifically tend to miss.

    Your engine will keep flagging blunders. That’s fine — let it. But the rating gain doesn’t come from the blunder list. It comes from the moments before, where you made a decision that wasn’t a decision, played a plan that wasn’t a plan, or accepted a position you couldn’t navigate. Find those, and your engine reviews finally start paying off.

  • Lichess vs Chess.com for Adult Improvers: A Coach’s Side-by-Side Audit of the Two Free Tools You Already Have

    Lichess vs Chess.com for Adult Improvers: A Coach’s Side-by-Side Audit of the Two Free Tools You Already Have

    If you are an adult improver, you almost certainly already have accounts on both Lichess and Chess.com. That is the easy part. The hard part is that most of us bounce between them like browser tabs during study time, never asking the question that actually matters: which platform should you be using for each specific job?

    After watching dozens of students wrestle with this from 1100 up through 1900, I have come to a conclusion that contradicts most “Lichess vs Chess.com” articles online. The answer is not that one platform is better. The answer is that they are extraordinarily different tools that excel at completely different parts of the improvement process — and using the wrong one for a given task is one of the most common quiet reasons adult improvers stall.

    This audit walks through six core jobs every improving player needs done, and assigns the right tool to each. No vague “both are great!” hedging.

    The Six Jobs You Actually Need a Chess Platform to Do

    Before we compare features, here is the honest list of things adult improvers spend study hours on. Everything else is a distraction:

    1. Playing rated games at the time control that grows your rating
    2. Analyzing those games to find recurring mistakes
    3. Studying openings with spaced repetition that sticks
    4. Drilling tactics that match your real game weaknesses
    5. Studying endgames in positions you will actually reach
    6. Building a working notebook of personal patterns and ideas

    Both platforms claim to do all six. Only one of them does each one well.

    Job 1: Playing Rated Games

    Verdict: Chess.com for under-1800, Lichess for 1800+

    This is the only category where the larger player pool genuinely matters. Below roughly 1800 Glicko, Chess.com’s pool is deeper and the match-finding is faster, which means you complete more games per study hour. That translates directly into more analysis material.

    Above 1800, however, Lichess produces noticeably tougher opposition at the same rating number because of how its rating distribution compresses. Many of my students see a 50–80 point Lichess drop relative to their Chess.com rapid rating once they cross 1900, and that gap reflects genuine difficulty, not rating inflation drama.

    One important caveat: 15+10 rapid is the only time control that meaningfully improves adult players who study fewer than ten hours per week. If your platform encourages you to play 3+0 blitz instead, switch platforms.

    Job 2: Analyzing Your Games

    Verdict: Lichess, by a wide margin

    This is the category where the gap between the two tools is largest, and it is the one most improvers get wrong. Chess.com’s “Game Review” is a marketing product. It assigns moves cute labels (“Brilliant!”, “Great move!”) and dispenses praise generously. Adult improvers consistently misread these labels as evidence that they are playing better than they are.

    Lichess analysis is colder and more useful. It gives you Stockfish depth, three engine lines, a clean blunder/mistake/inaccuracy summary, and — critically — the ability to step move-by-move with full annotation tools without paywalls or animations.

    If you want a deeper guide to extracting real improvement from engine output rather than just trophy moves, our piece on reading chess engine analysis like a coach walks through the exact post-game routine I give students.

    Tip: Use Lichess “Learn from your mistakes” mode

    This feature does not exist on Chess.com in any equivalent form. It replays every blunder and mistake from your game as a puzzle, forcing you to find the move you missed under the same emotional conditions. Twenty minutes here is worth two hours of casual review.

    Job 3: Studying Openings

    Verdict: Lichess Studies for building, Chess.com for drilling

    Lichess Studies are the single most underused tool in adult chess improvement. They give you free, unlimited PGN notebooks with chapters, branching variations, annotations, and the ability to embed engine analysis right inside the position. You can build a working repertoire that lives in your account forever, organized exactly the way your brain remembers it.

    Chess.com’s opening book is broader and prettier, but it does not let you build anything. You can browse community lines, but the structure belongs to the platform, not to you.

    The right workflow: build the repertoire in Lichess Studies, then drill it using Chess.com’s opening trainer or Chessable. If you have not yet picked a starting repertoire, our rating-based opening repertoire blueprint covers how to scope this without burning twenty study hours on theory you cannot remember.

    Job 4: Tactics Training

    Verdict: Lichess puzzles, with one specific exception

    Lichess Puzzles are tagged by theme (fork, pin, discovered attack, back-rank, deflection, decoy, and so on) and you can filter your training to a single theme until it sticks. This is the closest thing to deliberate practice that a free tool offers. The puzzles are also drawn from real played games, which means the positions feel like positions you actually reach.

    Chess.com’s puzzles are pleasant and gamified, but the rating system rewards speed and the theme filters are weaker. Treat Chess.com Puzzle Rush and Puzzle Battle as warmup or recreation, not training.

    The one exception: Chess.com’s “Custom Puzzles” feature generates puzzles directly from your own lost games. This is genuinely valuable for plateaued players and worth the membership for a few months if you are stuck.

    Job 5: Endgame Training

    Verdict: Lichess endgame trainer for technique, Chess.com Lessons for concepts

    Lichess’s endgame practice tool lets you play out specific endgame types against Stockfish from random starting positions — Lucena, Philidor, Vančura, opposite-coloured bishops, queen vs rook. This is irreplaceable for technique. Drill the same position thirty times against a strong engine and the conversion patterns become reflexive.

    Chess.com’s structured endgame Lessons are better for the concepts — when to trade pieces, when to push pawns, when to triangulate. They explain. Lichess drills.

    If you are not sure which endings deserve your finite attention, our piece on the endgame hierarchy ranks the seven that produce real rating gains under 2000.

    Job 6: Building a Personal Pattern Notebook

    Verdict: Lichess Studies, no contest

    This is the job that virtually no improver does, and it is the difference between players who plateau and players who keep climbing. Every time you encounter a pattern in your own games — a tactical motif you missed, a structural idea you want to remember, an opening trap you walked into — you need somewhere to save it. Not a folder of PGNs. A searchable, annotatable, position-aware notebook.

    Lichess Studies do this for free. Make a “Personal Patterns” study, add a chapter every time you find something worth remembering, annotate the key move. Six months in, you have a curated improvement document that no course or coach could replicate, because it is built entirely on your blind spots.

    The Combined Workflow I Give Adult Students

    The right answer is not “use Lichess” or “use Chess.com.” It is to use them as two parts of the same study system:

    Play rated 15+10 games where the pool is strongest for your rating. Analyze every loss on Lichess (paste the PGN, hit “Learn from your mistakes”). Save each interesting pattern into a personal Lichess study. Drill tactics on Lichess filtered by your weakest theme, ten minutes daily. Practice endgames on Lichess against Stockfish, one position per week until conversion is automatic. Maintain your opening repertoire as a Lichess study, drill it on Chess.com if you prefer the interface.

    That workflow takes about five hours a week and beats every premium “training plan” I have seen sold to adult improvers, because it is built on tools you already have free access to.

    What Each Platform Will Not Do For You

    Neither platform will tell you which of these jobs is the bottleneck holding back your specific rating. That diagnosis is the work that turns hours into points. If you do not know whether your blocker is tactical pattern recognition, structural understanding, time discipline, or psychological steadiness, no amount of platform switching will fix it. Our guide to breaking the 1500 plateau walks through the three hidden skill gaps most commonly responsible.

    If you want a personalized diagnosis, the free MyChessPlan archetype report takes about six minutes to complete and identifies your dominant playing style and the three skill areas most likely to unlock your next rating tier. For improvers who want the full curriculum mapped to their archetype, the $14.99 premium plan turns the diagnosis into a 30-day weekly schedule using exactly the Lichess and Chess.com tools described above.

    Take the free archetype assessment →

    Frequently Asked Questions

    Is Lichess really completely free, or are features hidden behind a subscription?

    Lichess is genuinely free, open source, and ad-free. Every feature mentioned in this article — Studies, full Stockfish analysis, the puzzle trainer, endgame practice, and “Learn from your mistakes” mode — is available without payment. The optional “Patron” tier exists purely to support the nonprofit and unlocks no features beyond a profile badge.

    Should I cancel my Chess.com Diamond membership if I switch most study to Lichess?

    Not necessarily. The most defensible Chess.com membership benefits for adult improvers are the unlimited tactics, the custom puzzles drawn from your own games, and the Lessons curriculum. If you use those weekly, keep it. If you are paying mostly for the rating points and the unlimited Game Review, you are likely better served putting that money toward a coaching session every couple of months.

    Which platform is better for OTB tournament preparation?

    Lichess, primarily because the longer time controls (30+0, 45+15, classical) have a healthier pool of serious players, and because the analysis tools let you prepare opponent-specific lines using their public game history. Chess.com is better if your tournament prep mostly means playing many fast games to keep your tactical sharpness up before the event.

    Can I use both platforms without diluting my rating progress?

    Yes — and you should. Rating is just a measurement; it is not the work itself. Use each platform’s rated games as feedback for the study you are doing elsewhere. Adult improvers who switch their entire study system every time their rating dips on one platform are the ones who never break through.

  • 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 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.


  • 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.

  • Stockfish Analysis vs Human Coach: Pros and Cons

    Stockfish Analysis vs Human Coach: Pros and Cons

    The Modern Chess Improvement Dilemma

    Twenty years ago, chess improvement meant finding a coach. Ten years ago, engines became strong enough that many players wondered if coaches were obsolete. Today, we have Stockfish calculating at superhuman depth for free. So why do chess coaches still exist? And more importantly, which approach should you use?

    The answer depends on your rating, budget, learning style, and goals. Having built our free analysis system that combines engine power with human-readable insights, I’ve thought deeply about what each approach does well and where each falls short.

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    Stockfish Analysis: The Strengths

    Tactical Perfection

    No human can match Stockfish’s tactical accuracy. It finds every combination, every defensive resource, every forced sequence. If your question is “what’s the best move here?” Stockfish gives you a definitive answer. For tactical analysis — finding blunders, missed combinations, and calculation errors — the engine is unbeatable. Our tactical vision guide discusses how to learn from engine tactical suggestions.

    Always Available, Always Free

    Stockfish runs on Lichess for free, 24/7. You can analyze at 3 AM, review 20 games in a row, and never worry about scheduling or cost. This accessibility is genuinely revolutionary for chess improvement.

    Objective Evaluation

    Engines don’t have biases, bad days, or favorite openings. They evaluate positions objectively based on calculation. This objectivity is valuable for settling debates about position evaluation and ensuring your analysis isn’t colored by wishful thinking.

    Stockfish Analysis: The Weaknesses

    The Explanation Gap

    Stockfish tells you move Rd1 is better than Re1 by 0.4 pawns. It doesn’t tell you why. Is it because the rook is more active? Because it prevents a specific plan? Because it prepares a pawn break? Without understanding the reasoning, you can’t apply the lesson to future games. This is Stockfish’s fundamental limitation — it calculates, but it doesn’t teach.

    Inappropriate Suggestions

    Stockfish’s top choice is often a move that requires 15 moves of precise follow-up that no human would find. For a 1200-rated player, the “best” engine move might be practically worse than a simpler alternative. Engines don’t account for human playability, which means their recommendations can actually hurt your play if followed blindly.

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    Human Coaching: The Strengths

    Understanding Your Thought Process

    A good coach doesn’t just find the best move — they understand why you chose the wrong one. Are you miscalculating? Misunderstanding a strategic concept? Applying the right idea in the wrong context? This diagnostic ability is uniquely human and incredibly valuable for targeted improvement.

    Personalized Study Plans

    A coach assesses your complete profile — strengths, weaknesses, learning style, available time — and creates a training plan tailored specifically to you. This is something no engine can do. The right study plan is worth more than hours of undirected analysis. Our training routine guide provides general frameworks, but a coach customizes these to your specific needs.

    Motivation and Accountability

    Having a regular coaching session creates structure and accountability. You’re more likely to follow through on study plans when someone is checking your progress. The motivational aspect of coaching is underrated — especially during plateaus and burnout periods.

    Human Coaching: The Weaknesses

    Cost

    Qualified chess coaches charge $30-100+ per hour. For weekly sessions, that’s $120-400+ per month. This is a significant investment that many players can’t afford, and it raises the ROI question: how much improvement per dollar are you getting?

    Coach Quality Varies Enormously

    A great coach accelerates your improvement dramatically. A mediocre coach wastes your money. Finding the right coach requires research and often trial sessions. Not every strong player is a good teacher, and not every good teacher fits every student’s learning style.

    The Optimal Combination

    The Hybrid Approach

    For most improving players, the best approach combines engine analysis for tactical review with periodic coaching for strategic guidance. Use Stockfish daily to review your games and catch tactical errors. Schedule coaching sessions monthly or bi-monthly for strategic assessment, study plan adjustment, and conceptual instruction.

    This hybrid gives you the tactical precision of engines, the strategic understanding of human instruction, and manages cost effectively. Our free analysis is designed to bridge this gap — providing engine-depth analysis with human-readable explanations.

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  • Lichess vs Chess.com Analysis: Which Is Better

    Lichess vs Chess.com Analysis: Which Is Better

    The Two Giants of Online Chess

    Every chess player eventually faces this question: Lichess or Chess.com? Both platforms offer game analysis tools, and the quality of your analysis directly impacts your improvement speed. But the two platforms take fundamentally different approaches — different engines, different interfaces, different pricing models, and different analysis philosophies.

    This isn’t a “which platform is better for playing” comparison — that depends on factors like player pool, UI preferences, and community features. This is specifically about analysis quality: which platform helps you understand your games better and improve faster?

    Having used both extensively for our game analysis service, I have detailed experience with each platform’s strengths and limitations.

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    Try Chess.com’s Game Review tool free with your account — analyze your games move by move.

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    Lichess Analysis: The Open-Source Powerhouse

    What You Get (Free)

    Lichess provides unlimited Stockfish analysis at server-side depth for every game. You get a full evaluation graph, move classifications (blunder, mistake, inaccuracy), opening explorer with millions of games, and endgame tablebase access. All of this is completely free with no premium tier — Lichess is a non-profit that runs on donations.

    Strengths

    Lichess’s analysis is technically deep. The server-side Stockfish runs at substantial depth, and you can run local analysis even deeper in your browser. The opening explorer is excellent, pulling from both master games and Lichess player games filtered by rating. Studies feature lets you save and annotate analyses. The interface is clean and fast.

    Limitations

    Lichess gives you raw engine evaluations without much explanation. It tells you a move is a mistake but doesn’t explain why in words. For beginners, a centipawn loss number without context isn’t particularly helpful. You need enough chess understanding to interpret what the engine is showing you.

    Chess.com Analysis: The Polished Experience

    What You Get

    Chess.com’s game review provides accuracy percentages, move classifications with color coding, and — in premium tiers — verbal explanations of mistakes and suggested improvements. The interface is polished and beginner-friendly. Premium members get unlimited analysis; free members are limited to a small number of reviews per day.

    Strengths

    Chess.com’s game review excels at accessibility. The accuracy score gives you a single number to track over time. Move explanations help beginners understand not just that they made a mistake, but what kind of mistake it was. The integration with lessons means you can be directed to relevant study material based on your mistakes.

    Limitations

    Free analysis is limited. The engine depth may be lower than Lichess for free-tier users. Premium required for full features adds monthly cost. Some analysis features feel designed to encourage upgrade rather than educate.

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    Head-to-Head Comparison

    For Beginners (Under 1000)

    Chess.com’s game review is more helpful because it explains mistakes in words rather than numbers. The accuracy score provides a simple improvement metric. Lichess’s raw evaluations can be overwhelming at this level. Our beginner guide recommends starting with simpler analysis and graduating to deeper tools.

    For Intermediate Players (1000-1600)

    Both platforms work well. Lichess’s free unlimited analysis becomes more valuable as you develop the chess understanding to interpret engine suggestions. Chess.com’s premium features are worth considering if you value the structured learning environment. Many players at this level use both — check our analysis apps comparison for more options.

    For Advanced Players (1600+)

    Lichess becomes increasingly attractive for serious analysis work. The combination of deep Stockfish, opening explorer, studies, and zero cost is hard to beat. Advanced players can interpret raw engine output and don’t need verbal explanations. That said, Chess.com’s large database and premium tools have their own advantages for opening preparation.

    The Best Approach: Use Both

    Many serious improvers use both platforms strategically: Chess.com for its larger player base, lesson content, and polished game review; Lichess for deep free analysis, studies, and the excellent puzzle system. This isn’t about loyalty — it’s about using the best tool for each specific need.

    For analysis that goes beyond what either platform offers, with personalized improvement recommendations tailored to your specific patterns, try our free game analysis. It combines engine depth with human-readable insights designed for improvement.

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