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The expected probability to win is named the winning expectancy. If we investigate the winning expectancy as a function of the rating differences, we find:
Rating | 0 | 20 | 40 | 60 | 80 |
0 | 0.500 | 0.471 | 0.443 | 0.414 | 0.386 |
100 | 0.359 | 0.333 | 0.307 | 0.282 | 0.258 |
200 | 0.235 | 0.214 | 0.193 | 0.174 | 0.157 |
300 | 0.140 | 0.125 | 0.111 | 0.098 | 0.087 |
400 | 0.077 | 0.067 | 0.059 | 0.051 | 0.045 |
500 | 0.039 | 0.034 | 0.029 | 0.026 | 0.022 |
600 | 0.019 | 0.016 | 0.014 | 0.012 | 0.011 |
700 | 0.009 | 0.008 | 0.007 | 0.006 | 0.005 |
800 | 0.004 | 0.004 | 0.003 | 0.003 | 0.002 |
900 | 0.002 | 0.002 | 0.001 | 0.001 | 0.001 |
Win expectancy as a function of the rating difference. The table has been computed using the bad-mistake model (See section 2.2.1 Which Player is better?.). But it equals almost exactly the Fide/Elo-distribution.