Rank | Percentile | Rating | Delta | (P)Winning | (P) Losing |
1 | 0.0027% | 2374 | 390 | 90.4% | 9.6% |
100 | 0.27% | 1984 | 125 | 67.3% | 32.7% |
200 | 0.53% | 1859 | 74 | 60.5% | 39.5% |
300 | 0.80% | 1785 | 54 | 57.7% | 42.3% |
400 | 1.06% | 1731 | 39 | 55.6% | 44.4% |
500 | 1.33% | 1692 | 37 | 55.3% | 44.7% |
600 | 1.59% | 1655 | 28 | 54.0% | 46.0% |
700 | 1.86% | 1627 | 17 | 52.4% | 47.6% |
800 | 2.12% | 1610 | 22 | 53.2% | 46.8% |
900 | 2.39% | 1588 | 20 | 52.9% | 47.1% |
1000 | 2.65% | 1568 |
I wanted to get an understanding of how good the top players are statistically and thought I could use chess Elo probabilites.
The formula I used to calculate probability is
P(A) Losing = 1/(1+10^m) where m is the rating difference (rating(A)-rating(B)) divided by 400
P(A) winning = 1 - P(A) Losing
Not saying this is accurate.. but its a fair assumption of the quality of the game's super pros!
Astounding!