Skip to content
All posts
For improvers2 min read

Does one mistake lead to the next?

Yes. After a mistake, the next move of the same player is 1.8 to 2.4 times as likely to be one: 31% against 17% up to 999, 18% against 7% from 2200.

The mistake rate rises when the previous own move was a mistake
  • after a mistake
  • on average
0%10%20%30%up to 9991000–11991200–13991400–15991600–17991800–19992000–21992200+Rating

What follows from it

  • The jump shows in all eight rating groups, from 1.8× to 2.4×.
  • Relatively it is largest among the strongest players: 18.1% against 7.4%.
  • Mistakes often come in a row. A position where you already went wrong once deserves a second look.
Mistake rate of the next own move
Ratingafter a mistakeoverallFactor
up to 99930.8%16.8%1.8×
1000–119926.8%14.0%1.9×
1200–139925.0%12.7%2.0×
1400–159923.5%11.6%2.0×
1600–179922.2%10.6%2.1×
1800–199921.0%9.7%2.2×
2000–219919.9%8.7%2.3×
2200+18.1%7.4%2.4×

3,895 million pairs of consecutive own moves.

Questions

Why does a mistake often lead to the next?
After a mistake the position is often worse and sharper, and thinking gets harder. Our numbers show the link, not the cause.
Does this hold for very strong players?
Yes. From 2200 Elo, a mistake is followed by another in 18% of cases, the average is 7%.

Sources

  1. [1]E. B. Wilson (1927): Probable inference, the law of succession, and statistical inference. Journal of the American Statistical Association 22(158), pp. 209–212, doi:10.1080/01621459.1927.10502953. jstor.org/stable/2276774 (accessed 2 October 2026).

Data: public Lichess games from January to August 2026, 74.2 million games with an engine rating. A mistake costs at least 10 points of winning chances. Lichess analysed these games on request, so they are not a random sample of all games. Groups by the rating of the player who moves, ranges are 95 percent Wilson intervals [1].

Try it on your own games

Enter your Lichess name and see where your knowledge ends.

Try it on your own games