High accuracy, but a lost game? Make sense of Game Review
A good percentage does not explain the whole game. Connect accuracy to the result, evaluation graph and critical position, then retry a decision in MoveForge Game Review.
Creator, lead developer, and editor of Move Forge
Tomasz Czopur, publishing as Tomcio_Dzik, is an active chess player and the creator, lead developer, and editor of Move Forge. He writes about his own training process and builds tools for game analysis, opening repertoires, and position-based practice. His articles may use his own games, Move Forge reports, and first-party data so the conclusions stay grounded in concrete material.
A good percentage does not explain the whole game. Connect accuracy to the result, evaluation graph and critical position, then retry a decision in MoveForge Game Review.
I put 12,294 Bullet games and 1,550 Rapid games into one report. Instead of arguing whether Bullet is good or bad for chess, I compared blunders, missed mates, endings and openings. The answer was much more useful than “Rapid good, Bullet bad.”
Some of your best training positions already exist — you played them in your own games. Here is how to move from Chess.com or Lichess.org history to analysis and useful MoveForge training material.
Finished a game and the engine says Blunder? Good — but that is only the start. Use this 7-step MoveForge workflow to understand your decisions and turn mistakes into training.
Playing against a computer becomes much more useful when the session does not end with the result. Here is a practical MoveForge workflow for choosing a bot, playing with a purpose, reviewing critical moments and turning mistakes into the next training goal.