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Most chess players know the familiar routine.

You finish a game, open the analysis board and watch the engine identify your mistakes. A missed tactic on move 18. An inaccurate exchange on move 27. A blunder that turned a winning position into a loss.

The engine is usually correct—but knowing that one move was wrong does not always tell you what needs to change.

Was the mistake caused by poor calculation? Did you overlook your opponent’s threat? Were you too eager to exchange pieces? Did you choose a forcing move without considering a quieter alternative? Or did your decision-making deteriorate because you were running short of time?

These are different problems, and they require different forms of practice.

That is the idea behind CheckmateMore: a chess analysis and coaching platform designed to find the patterns behind your moves—not simply mark individual mistakes.

Every player leaves a decision-making fingerprint

One game rarely tells the full story.

A rook sacrifice might be a brave practical decision in one position and an unnecessary risk in another. Trading queens could be the simplest route to victory—or evidence that you regularly simplify positions before your advantage is secure.

The meaning becomes clearer when the same type of decision appears repeatedly across dozens of games.

CheckmateMore calls this your Decision DNA: a measurable profile of how you make decisions at the board.

It examines six areas:

  • Your preference for checks, captures and other forcing moves
  • How readily you simplify by exchanging pieces
  • The amount of practical risk you tend to accept
  • How well you handle positions with one, several or many good choices
  • How your decision quality changes under time pressure
  • How your choices compare with moves commonly played by other humans

Rather than applying a vague personality label such as “aggressive player”, CheckmateMore makes specific observations supported by positions from your own games.

It might find that you regularly choose forcing moves when sound, quieter alternatives are available. It might reveal that you defend accurately with time on the clock but begin overlooking threats once you enter time pressure. Or it may show that you perform well in tactical positions but struggle when several equally reasonable plans are available.

That is far more useful than being told to “make fewer blunders”.

Evidence, not guesswork

Chess advice can sound convincing without being particularly helpful. Decision DNA is designed to show the evidence behind its conclusions.

Each supported behaviour includes:

  • The games and positions in which the pattern appeared
  • The number of comparable decisions examined
  • The period covered by the analysis
  • The strength of the available evidence
  • A recommended training action

If CheckmateMore does not yet have enough information to support a conclusion, it continues building the profile instead of pretending to know.

This distinction matters. A single attacking game should not define you as an attacking player, just as one poor endgame should not become a permanent weakness. Genuine patterns need repeated evidence.

Stockfish tells you what is best. Maia adds the human context

Traditional chess engines evaluate a position as though both sides will continue playing with extraordinary accuracy.

That is essential for objective analysis, but it does not always reflect the practical experience of playing another person.

CheckmateMore combines two different perspectives for eligible members:

  • Stockfish evaluates the objective strength of each move.
  • Maia-2 models the moves humans at different rating levels are more likely to play.

The distinction can be revealing.

A move may be Stockfish’s first choice but require an extremely precise continuation that few players would find. Another move might give away a tiny fraction of the objective evaluation while creating several difficult decisions for the opponent.

CheckmateMore does not replace sound chess with hope-chess. Stockfish remains the objective authority. Maia adds another layer: how the position is likely to behave between real players.

This helps answer questions that a conventional evaluation bar cannot answer on its own:

  • Was your move understandable at your rating level?
  • Did it place a difficult practical problem in front of your opponent?
  • Was there only one move that preserved the position?
  • Did you choose a less common but perfectly sound idea?
  • Was your opponent’s mistake predictable, or merely fortunate?

Not every small evaluation change is a mistake

Suppose you have two strong candidate moves.

One produces an evaluation of +0.5 and the other +0.4. A conventional review might rank one above the other, but the difference may have little practical significance. You may simply have selected a different sound plan.

Now consider another position where only one move maintains equality and every alternative leads to a serious disadvantage. The evaluation before the move might look similar, but the decision is far more demanding.

CheckmateMore’s Practical Playability Score considers the breadth of acceptable moves and the consequences of getting the decision wrong.

A flexible position with several good moves is easier to handle. An “only-move” position, where one precise continuation is required, carries a much heavier calculation burden.

This allows the analysis to distinguish between:

  • A harmless difference in engine preference
  • A reasonable human decision
  • A difficult move that deserves particular credit
  • A genuine strategic or tactical error
  • A move that transferred the harder problem to the opponent

It is a more realistic way to understand the quality of a chess decision.

From recurring weakness to personal practice

Finding a pattern is only useful if you can work on it.

CheckmateMore’s Pressure Lab turns positions from your own games into targeted practice. Instead of solving a random collection of tactical puzzles, you practise situations connected to an evidenced weakness in your Decision DNA.

If you routinely miss defensive resources, your training can concentrate on threat recognition. If you rush through sharp positions, it can test your candidate-move discipline. If you simplify too early, it can present positions where keeping tension is the better practical decision.

The aim is not simply to remember the move that Stockfish preferred. It is to improve the decision-making process that produced the mistake.

Reconstruct what you were thinking

Sometimes the move itself only tells half the story.

CheckmateMore’s Decision Replay lets you return to an important position before seeing the engine’s answer. You can record:

  • Which candidate moves you considered
  • What you thought your opponent was threatening
  • Which continuation you expected
  • How confident you felt
  • Whether you deliberately made the decision quickly

That helps separate different kinds of mistakes.

You might never have considered the correct candidate. You may have found it but miscalculated the reply. Perhaps your calculation was accurate but you misjudged the resulting position. Or you may have understood everything and simply spent too little time checking the move.

Those require different corrections. Decision Replay helps you identify which part of the process broke down.

See how stronger players approach the same decision

The Future You view compares human move choices across supported rating bands.

It does not claim to predict your future rating. Instead, it shows how the handling of a particular position tends to change as playing strength increases.

You can compare:

  • The choices common around your current rating
  • Moves that become more common at the next level
  • Higher-level human preferences where data is available
  • Stockfish’s objective recommendation

This can reveal the next decision-making habit worth developing. Stronger players may not calculate every position twice as deeply; sometimes they simply recognise the right candidates sooner, manage risk more effectively or know when a quiet move deserves attention.

Measure whether the improvement reaches your real games

Training performance is encouraging, but the real test comes when the same kind of decision appears in a future game.

CheckmateMore’s Improvement Proof follows that journey:

  1. A recurring pattern is identified.
  2. Supporting evidence is reviewed.
  3. Personal training is completed.
  4. A similar decision appears in a new game.
  5. The platform checks whether the improved behaviour was retained.

The purpose is not to promise rating gains. It is to provide evidence that a specific part of your decision-making is changing.

That closes an important gap found in many training systems. You are not left wondering whether solving exercises has influenced your actual play.

More than another game-analysis screen

CheckmateMore can connect with your Chess.com or Lichess account and turn your games into an ongoing coaching system.

Alongside Decision DNA, members can access features including:

  • Detailed game reviews
  • Human and practical move analysis
  • Personalised daily training
  • Training streaks
  • Weekly coaching insights
  • Puzzles generated from relevant positions
  • Performance estimates based on the quality of the game
  • Long-term evidence of improvement
  • PGN and FEN import and export tools

The individual features are useful, but their connection is what makes the platform interesting.

Your games build your Decision DNA. Your Decision DNA determines which positions deserve attention. Those positions become personal training. Future games then provide evidence of whether the training worked.

It forms a continuous cycle based on the chess you actually play.

Who is CheckmateMore for?

CheckmateMore should be particularly useful if:

  • You analyse games but struggle to turn engine lines into practical lessons
  • You keep making similar mistakes without knowing why
  • Generic puzzles feel disconnected from your own chess
  • You want to understand how time pressure affects your play
  • You would like measurable evidence of improvement
  • You want analysis that considers both objective chess and realistic human decisions
  • You are a coach looking for clearer patterns across a student’s games

Beginners can use it to understand the habits forming beneath their early mistakes. Club players can identify the recurring decisions holding back their results. More advanced players can examine smaller differences in calculation, candidate selection, risk and time management.

Your next game is evidence

Every game contains more than a result.

It records the positions you understood, the threats you missed, the risks you accepted and the moments when your usual decision-making changed under pressure.

One game may look like a collection of isolated choices. Across enough games, those choices begin to form a recognisable fingerprint.

CheckmateMore is built to find that fingerprint, explain it and turn it into something you can train.

Connect your Chess.com or Lichess account and discover your Decision DNA

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