Modern online chess platforms often provide post-game analysis with accuracy scores, mistake counts, and blunder highlights. But what do these numbers actually mean? This guide explains how to interpret them and—more importantly—how to use them to improve your play.
Accuracy measures how closely your moves match the engine’s top choices. A score of 90%+ usually indicates strong consistency with best play.
Blitz and bullet games tend to have lower accuracy than rapid or classical games, due to limited calculation time.
A high accuracy in one game doesn’t mean you’re “better” overall—it reflects your performance in that specific game context.
Focus on positions where the evaluation swung sharply. These are the best opportunities for improvement.
Do you blunder in tactical chaos? Endgames? Time pressure? Identifying patterns gives you training priorities.
If 70% of your blunders happen in the middlegame, prioritize studying tactical motifs and strategic planning.
Don’t just rely on computer symbols. Write down why you chose your move and what you missed. Reflection deepens learning.
A player can have high accuracy but still blunder once in a decisive moment. Context matters more than overall percentage.
Different sites calculate accuracy differently. Don’t compare numbers across platforms—compare yourself over time instead.
Engines evaluate deeper than humans can. Sometimes a ‘mistake’ by engine standards is practical and effective against your opponent.
For casual players, 75–85% is solid. Consistently above 90% indicates strong technical play.
No. Focus on the biggest swings in evaluation and recurring errors. Minor inaccuracies are less important.
Not always. In sharp tactical games, even strong players make inaccuracies. What matters is learning from them.
Yes. For example, aim to reduce blunders per game to under 1, or improve average accuracy by 5% over three months.
No. Combine engine feedback with human understanding and strategic study for the best results.
👉 Accuracy scores, mistake counts, and blunder stats are valuable diagnostic tools. But the real progress comes when you connect the numbers to training habits, reflection, and deliberate practice.
🔗 Related pages: Tracking Progress | Database Prep | Visualizing Data