ChessLogix
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Worked example

From 27 Games to One Focused Training Plan

Follow one player’s games through move analysis, opening diagnosis, coaching priority, personalized training and progress tracking. Every stage is labeled free or AI membership, so you can see exactly where the paid layer begins.

Start Learning Free Explore Opening Lab Free

Real product screenshots · Everything here is free except Move Explanation and Meta-Coach

  • No Chess.com or Lichess password — a public username is all it needs.
  • The learning platform is free — AI Move Explanation and Meta-Coach are an optional membership.
  • Every recommendation comes from your own games and Stockfish analysis.
The ChessLogix Meta-Coach current focus: the habit chosen to work on, with how often it happens, what it typically costs, how recent games compare, a when / do / check / exception rule, a target, and a Train this weakness button.
  • Where 27 games ended up: one focus, stated as a habit rather than a topic.
  • The numbers that chose it: 5 of 8 chances slipped, typically costing 29.3% win probability.
  • And the rule and the target that came with it. The six stages below are how it got here.

What 27 Games Turned Into

From one month of rapid games, ChessLogix found one weak Italian Game branch, put one recurring conversion problem at the top, and turned both into four repertoire decisions and three training positions. Here it is, stage by stage. Everything below is free except Move Explanation and Meta-Coach, which are marked.

  1. Import 27 games

    One Chess.com handle, one month of rapid games.

  2. Explain critical moves

    Every game read; the moves that changed each result written up.

  3. Find the weak opening branch

    One Italian Game move order where the score separates.

  4. Select one coaching focus

    Everything found across the 27 games, ranked; the top item chosen.

  5. Create targeted training

    Four repertoire decisions and three puzzles, generated from the findings.

  6. Check the next batch

    The games that came next, read against the same numbers.

Stage 2 of 6 · AI membership

Explain the Critical Moves

Each critical move is written up in three parts: the idea, what it allowed, and the stronger continuation. Finding the critical moves and the engine lines behind them is free — writing them out in plain English is AI Move Explanation, part of the monthly membership.

The ChessLogix move analysis for 11.Ne1, flagged as a miss costing 22% of the expected result, with Your Move Idea, What Happened, and Alternative printing the engine line.
  • The move, its classification, and what it cost: 11.Ne1, a miss, 22% of the expected result.
  • What Happened prices the decision — the advantage fell from +3.05 to +0.47.
  • The alternative includes a playable engine line, making the recommendation concrete.

Stage 3 of 6 · Free

Find the Weak Opening Branch

"You score badly in the Italian Game" is not actionable. The Italian is a tree, and this player’s record was not uniform across it.

The You tab in Opening Lab: 26 of this player’s games reached the position and scored 54%, with each reply listed by how often it was faced and how they did against it.
  • Your side: 26 games reached this position, scoring 54%.
  • Each percentage carries its game count, so three games read as three games.
Opening Lab on the same position: the board with its evaluation bar, and beside it the Lichess database listing each reply with how often it is played and how human players score with it.
  • The other side: what everyone else plays here, and what the engine thinks of it.
  • Practical difficulty and objective soundness, side by side and never merged.

Stage 4 of 6 · AI membership

Select One Coaching Focus

Meta-Coach ranked the recurring findings and chose one current priority — the focus card at the top of this page. These two screens are what it showed for that choice. Finding and counting the patterns is free; Meta-Coach is the AI layer that reads them and picks one.

The pattern behind the focus: its frequency, median cost, trend and spread, followed by the clearest example from the player’s own games.
  • Frequency, median cost, recent trend and spread — the four numbers that ranked it first.
  • Then the clearest case from this player’s own games.
The counter-example where the same decision went well, a four-step chain from trigger to symptom, and the hand-off into training.
  • A game where the same decision went well, kept in on purpose: it is the version to repeat.
  • Trigger, habit, consequence, symptom — and the button that loads training from the trigger.

Stage 5 of 6 · Free

Create Targeted Training

ChessLogix automatically converted the findings into four repertoire decisions and three puzzles rebuilt from the positions where the evaluation turned.

Three training sources side by side: opening repertoire recall, similar-pattern puzzles matched to critical positions, and the exact positions missed in the player’s own games.
  • Three sources, each with its own counts: due, mastered, and right first time.
A ChessLogix training exercise in progress: the similar-pattern badge, the prompt "Your move.", and the board.
  • A position this player had never seen, chosen because it invites the move they missed in one they had.

Stage 6 of 6 · Free

Check the Next Batch

The next games are read against the same numbers, so "did that change anything" gets an answer instead of an impression.

The ChessLogix progress report: metrics tracked across batches of games, showing which measurements moved and which did not.
  • What improved, what is still holding this player back, and what to train next.
  • Every answer shows the games and positions behind it.

Run the Same Cycle on Your Own Games

Connect Chess.com or Lichess, import a batch, and read what comes back. Everything in this example is free except AI Move Explanation and Meta-Coach, and no card is required to start.

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Frequently Asked Questions

Is this a real report or a mockup?

Real screens from a real player, with names removed before the screenshots were taken — nothing on them identifies anyone. The coaching text is word for word what the system produced.

How many games do I need before my own report looks like this?

One game is enough for a full single-game analysis, and coaching starts working from two analyzed games. Recurring patterns need the same situation to come up several times before ChessLogix will name one, so how many games that takes depends on how often it comes up in your play. Twenty is a good first batch for most players.

How much of this example is free?

All of it except two things. Importing, engine analysis, critical moments, the opening diagnosis, pattern detection and counting, the puzzles, the repertoire work and the progress report are free. AI Move Explanation — the plain-English write-up of a single move — and Meta-Coach — the layer that reads across all 27 games and picks one priority — come with the monthly AI membership. Both are marked where they appear above.

Can I do any of this without an account?

The Opening Lab board, the opening database and the engine evaluation on that board need no account at all. Everything built from your own games needs an import, and an import needs a free account to keep it in. That is a login, not a payment.

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