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 YAPOFFRL - ENGlNE ELO TEST Results with BayesElo 0056:

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YAPOFFRL - ENGlNE ELO TEST Results with BayesElo 0056: Empty
PostSubject: YAPOFFRL - ENGlNE ELO TEST Results with BayesElo 0056:   YAPOFFRL - ENGlNE ELO TEST Results with BayesElo 0056: EmptySun Dec 27, 2009 11:30 pm

Rank Name Elo + - games score oppo. draws

1 RobboLito 0.085g3 x64 1CPU 3149 25 24 550 75% 2960 32%
2 Rybka 3.0 x64 1CPU 3119 13 13 1854 74% 2947 32%
3 Stockfish 1.6 JA x64 1CPU 3031 19 18 845 61% 2951 35%
4 Deep Shredder 12 x64 1CPU 2996 12 12 1898 53% 2973 37%
5 Naum 4.0 x64 1CPU 2987 13 13 1812 50% 2982 37%
6 Doch64 1.2 JA x64 1CPU 2909 15 15 1193 47% 2930 37%
7 Hiarcs 12.1 1CPU 2883 12 12 2232 36% 2981 33%
8 Deep Sjeng WC2008 x64 1CPU 2872 21 21 693 37% 2971 28%
9 Onno-1-1-1 x64 1CPU 2865 24 25 485 42% 2927 31%
10 Shredder 9.1 2750 20 21 874 22% 2975 21%





Elo are fixed to 2750 for Shredder 9.1.
All other engines are derived from that fixed number!
The list is not finished, engines will be added!






YAPOFFRL - Individual statistics build with Elostat 1.3:

Individual statistics:

1 RobboLito 0.085g3 x64 1CPU: 3151 550 (+327,=176,- 47), 75.5 %

Rybka 3.0 x64 1CPU : 79 (+ 27,= 37,- 15), 57.6 %
Naum 4.0 x64 1CPU : 84 (+ 52,= 23,- 9), 75.6 %
Hiarcs 12.1 1CPU : 49 (+ 34,= 13,- 2), 82.7 %
Shredder 9.1 : 45 (+ 41,= 3,- 1), 94.4 %
Doch64 1.2 JA x64 1CPU : 50 (+ 29,= 17,- 4), 75.0 %
Deep Shredder 12 x64 1CPU : 82 (+ 47,= 29,- 6), 75.0 %
Deep Sjeng WC2008 x64 1CPU : 44 (+ 34,= 9,- 1), 87.5 %
Onno-1-1-1 x64 1CPU : 39 (+ 30,= 8,- 1), 87.2 %
Stockfish 1.6 JA x64 1CPU : 78 (+ 33,= 37,- 8), 66.0 %

2 Rybka 3.0 x64 1CPU : 3121 1854 (+1064,=602,-188), 73.6 %

Naum 4.0 x64 1CPU : 440 (+236,=161,- 43), 71.9 %
Hiarcs 12.1 1CPU : 440 (+301,=116,- 23), 81.6 %
Shredder 9.1 : 118 (+100,= 13,- 5), 90.3 %
Doch64 1.2 JA x64 1CPU : 67 (+ 41,= 22,- 4), 77.6 %
Deep Shredder 12 x64 1CPU : 440 (+215,=175,- 50), 68.8 %
Deep Sjeng WC2008 x64 1CPU : 101 (+ 71,= 18,- 12), 79.2 %
Onno-1-1-1 x64 1CPU : 40 (+ 28,= 8,- 4), 80.0 %
RobboLito 0.085g3 x64 1CPU : 79 (+ 15,= 37,- 27), 42.4 %
Stockfish 1.6 JA x64 1CPU : 129 (+ 57,= 52,- 20), 64.3 %

3 Stockfish 1.6 JA x64 1CPU : 3024 845 (+364,=298,-183), 60.7 %

Rybka 3.0 x64 1CPU : 129 (+ 20,= 52,- 57), 35.7 %
Naum 4.0 x64 1CPU : 95 (+ 29,= 36,- 30), 49.5 %
Hiarcs 12.1 1CPU : 118 (+ 62,= 41,- 15), 69.9 %
Shredder 9.1 : 118 (+ 83,= 31,- 4), 83.5 %
Doch64 1.2 JA x64 1CPU : 100 (+ 52,= 36,- 12), 70.0 %
Deep Shredder 12 x64 1CPU : 95 (+ 39,= 41,- 15), 62.6 %
Deep Sjeng WC2008 x64 1CPU : 100 (+ 63,= 21,- 16), 73.5 %
Onno-1-1-1 x64 1CPU : 12 (+ 8,= 3,- 1), 79.2 %
RobboLito 0.085g3 x64 1CPU : 78 (+ 8,= 37,- 33), 34.0 %

4 Deep Shredder 12 x64 1CPU : 2990 1898 (+654,=699,-545), 52.9 %

Rybka 3.0 x64 1CPU : 440 (+ 50,=175,-215), 31.2 %
Naum 4.0 x64 1CPU : 440 (+122,=194,-124), 49.8 %
Hiarcs 12.1 1CPU : 440 (+232,=141,- 67), 68.8 %
Shredder 9.1 : 119 (+ 96,= 15,- 8), 87.0 %
Doch64 1.2 JA x64 1CPU : 146 (+ 67,= 54,- 25), 64.4 %
Deep Sjeng WC2008 x64 1CPU : 102 (+ 47,= 41,- 14), 66.2 %
Onno-1-1-1 x64 1CPU : 34 (+ 19,= 9,- 6), 69.1 %
RobboLito 0.085g3 x64 1CPU : 82 (+ 6,= 29,- 47), 25.0 %
Stockfish 1.6 JA x64 1CPU : 95 (+ 15,= 41,- 39), 37.4 %

5 Naum 4.0 x64 1CPU : 2982 1812 (+581,=667,-564), 50.5 %

Rybka 3.0 x64 1CPU : 440 (+ 43,=161,-236), 28.1 %
Hiarcs 12.1 1CPU : 440 (+208,=158,- 74), 65.2 %
Shredder 9.1 : 87 (+ 64,= 15,- 8), 82.2 %
Doch64 1.2 JA x64 1CPU : 120 (+ 49,= 49,- 22), 61.3 %
Deep Shredder 12 x64 1CPU : 440 (+124,=194,-122), 50.2 %
Deep Sjeng WC2008 x64 1CPU : 71 (+ 38,= 19,- 14), 66.9 %
Onno-1-1-1 x64 1CPU : 35 (+ 16,= 12,- 7), 62.9 %
RobboLito 0.085g3 x64 1CPU : 84 (+ 9,= 23,- 52), 24.4 %
Stockfish 1.6 JA x64 1CPU : 95 (+ 30,= 36,- 29), 50.5 %

6 Doch64 1.2 JA x64 1CPU : 2904 1193 (+337,=444,-412), 46.9 %

Rybka 3.0 x64 1CPU : 67 (+ 4,= 22,- 41), 22.4 %
Naum 4.0 x64 1CPU : 120 (+ 22,= 49,- 49), 38.8 %
Hiarcs 12.1 1CPU : 440 (+149,=176,-115), 53.9 %
Shredder 9.1 : 106 (+ 59,= 28,- 19), 68.9 %
Deep Shredder 12 x64 1CPU : 146 (+ 25,= 54,- 67), 35.6 %
Deep Sjeng WC2008 x64 1CPU : 71 (+ 24,= 22,- 25), 49.3 %
Onno-1-1-1 x64 1CPU : 93 (+ 38,= 40,- 15), 62.4 %
RobboLito 0.085g3 x64 1CPU : 50 (+ 4,= 17,- 29), 25.0 %
Stockfish 1.6 JA x64 1CPU : 100 (+ 12,= 36,- 52), 30.0 %

7 Hiarcs 12.1 1CPU : 2877 2232 (+431,=738,-1063), 35.8 %

Rybka 3.0 x64 1CPU : 440 (+ 23,=116,-301), 18.4 %
Naum 4.0 x64 1CPU : 440 (+ 74,=158,-208), 34.8 %
Shredder 9.1 : 144 (+ 80,= 35,- 29), 67.7 %
Doch64 1.2 JA x64 1CPU : 440 (+115,=176,-149), 46.1 %
Deep Shredder 12 x64 1CPU : 440 (+ 67,=141,-232), 31.2 %
Deep Sjeng WC2008 x64 1CPU : 67 (+ 21,= 27,- 19), 51.5 %
Onno-1-1-1 x64 1CPU : 94 (+ 34,= 31,- 29), 52.7 %
RobboLito 0.085g3 x64 1CPU : 49 (+ 2,= 13,- 34), 17.3 %
Stockfish 1.6 JA x64 1CPU : 118 (+ 15,= 41,- 62), 30.1 %

8 Deep Sjeng WC2008 x64 1CPU: 2873 693 (+156,=197,-340), 36.7 %

Rybka 3.0 x64 1CPU : 101 (+ 12,= 18,- 71), 20.8 %
Naum 4.0 x64 1CPU : 71 (+ 14,= 19,- 38), 33.1 %
Hiarcs 12.1 1CPU : 67 (+ 19,= 27,- 21), 48.5 %
Shredder 9.1 : 68 (+ 31,= 21,- 16), 61.0 %
Doch64 1.2 JA x64 1CPU : 71 (+ 25,= 22,- 24), 50.7 %
Deep Shredder 12 x64 1CPU : 102 (+ 14,= 41,- 47), 33.8 %
Onno-1-1-1 x64 1CPU : 69 (+ 24,= 19,- 26), 48.6 %
RobboLito 0.085g3 x64 1CPU : 44 (+ 1,= 9,- 34), 12.5 %
Stockfish 1.6 JA x64 1CPU : 100 (+ 16,= 21,- 63), 26.5 %
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YAPOFFRL - ENGlNE ELO TEST Results with BayesElo 0056:
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