How to find your chess weaknesses: count your losses, don't guess
Look at many games at once, not one. Label each loss with its main cause, such as a hung piece, missed threat, time loss, bad opening, or failed endgame, then count the labels. The cause that repeats most is your biggest weakness. A tool that analyzes your whole archive can do the counting and show the positions.
By Daniel Rozin · Published · Updated
How this guide was made: drafted with AI assistance, then checked against the sources cited on this page before publishing. Spot a mistake? Tell me.
The short answer
A weakness is a cause that keeps deciding games. One brilliant loss is a story. A pile of losses with the same label is a habit. Count first, then study.
Why one game can't show you a weakness
A single game has several mistakes. The one that feels worst is not always the one you repeat. Review one game the slow way, as in how to analyze your own chess games, and use this page when you want the pattern across the batch. Free chess game analysis is the archive version of that question.
The loss-labeling method, step by step
Pick a batch of recent losses
Use recent games, because habits change. Do not treat a round number as statistically magic. Use enough losses that one bad day cannot own the ranking. If you only have a few, the count is a hint, not a verdict.
One main label per loss
Pick the cause that decided the result, not every inaccuracy. Allowed labels:
- Hung piece
- Missed threat
- Impulse move
- Time loss
- Bad opening
- Failed endgame or lost a winning position
Count and rank
Tally the labels. The largest pile is the first weakness to work on. Ties mean you need a larger batch, or you should start with blunder-checking because it touches most of the labels.
Pick one to fix for a set period
Work on that label until you have played another batch. Then count again. Switching fixes every day hides whether anything changed.
A worked example
This is a blank sheet, not a real player's results. Inventing a score would not teach you your weakness. Copy the columns into a note or a spreadsheet and fill them from your own archive. One row per loss.
| Game (date, color) | Main label | The deciding moment, in one sentence |
|---|---|---|
| Your game | One label from the list | The move, the clock, or the opening that decided it |
| Your game | One label only | Not a full analysis |
| Keep going | Then tally | The biggest tally is the weakness |
Worked method, still without fake counts: suppose the tally you write is mostly "hung piece," with a smaller pile of "time loss." You do not study endgames first. You do the blunder check in how to stop blundering for the next batch of games, then you count again. If the tally is mostly "time loss," you use time management instead. The fingerprint automates parts of this count: how losses end, openings by score, games started soon after a loss, and long games versus short games. It does not see what you were thinking, so the sentence column is still yours.
The labels that matter most, and what fixes each
- Hung piece or missed threat: how to stop blundering.
- Time loss: chess time management.
- Games started soon after a loss: how to stop tilting.
- Bad opening: which openings to learn, plus the opening you actually face, such as the London, the Sicilian, the Caro-Kann, the French, the Queen's Gambit, or Scholar's Mate.
- Lost winning positions: why winning positions slip.
Doing it automatically
RookMentor ranks up to three leaks from the public archive. It can show the share of losses on time, how much of the starting clock remains at move 20, how often you move in under 5 seconds after move 10, worst openings by score, the score in games you start soon after a loss, and the score in games of 40 moves or fewer versus longer games. A deep scan adds blunders by phase and by the tags described in the blunder guide.
It cannot see your thoughts, your sleep, or whether you felt rushed. That is why the manual label still matters. It also does not report a percentile or an accuracy percentage.
Re-measure after you fix something
After a block of new games, run the same labels or the same fingerprint and compare the tally to the first sheet. You are looking for a smaller pile on the label you trained, not for a promised rating jump. How to get better at chess is the habit around that loop.
Common mistakes
- Giving one loss three labels and then counting all three as equal causes.
- Mixing wins, losses, and old games from a year ago into the first tally.
- Changing the label list halfway through so the counts cannot be compared.
- Expecting the top leak to be worth a specific rating gain. The count does not promise that.
FAQ
How many games do I need to find a weakness?
Enough that one bad day doesn't dominate the result. A few losses can mislead, while a larger batch of recent games shows which cause keeps coming back. Recent games matter more than old ones because your habits change.
Should I look at wins too?
Yes. Wins often contain the same mistakes that your opponent failed to punish. Include them when you tag mistakes, but tag losses by their main cause first.
What if my losses have many different causes?
Then work on blunder checking first, because it touches most causes. Re-count after more games, and a leading cause often appears once the biggest one shrinks.
Can a computer find my weaknesses?
An engine finds bad moves. Finding weaknesses means grouping those moves and your results into patterns across many games, like time losses, weak openings, or blunders in one phase. Some tools do that grouping for you.
Analyze your own games
Skip the spreadsheet. Enter your chess.com or Lichess username and RookMentor ranks your top 3 leaks across your recent games: your share of losses on time, your clock at move 20, how often you move in under 5 seconds after move 10, your worst openings by score, your score in games you start soon after a loss, and how you score in long vs short games. A deep scan adds blunders by phase and type.
See this in your own gamesDiscuss this on r/RookMentor (run by the RookMentor team)