OpenBench

OpenBench Testing Framework

Finished
ArjunB	Elixir	fail-rfp	diff	8.0+0.08	LLR: 0.04 (-2.25, 2.89) [0.00, 3.00] Games: 1882 W: 321 L: 314 D: 1247 [50.186%] Ptnml(0-2): 27, 193, 489, 210, 22
ArjunB	Elixir	eval-fix3	diff	8.0+0.08	LLR: 2.91 (-2.25, 2.89) [-5.00, 0.00] Games: 13148 W: 2211 L: 2152 D: 8785 [50.224%] Ptnml(0-2): 134, 1394, 3484, 1403, 159
ArjunB	Elixir	hl1536-epoch188	diff	8.0+0.08	LLR: -2.30 (-2.25, 2.89) [0.00, 3.00] Games: 1520 W: 227 L: 394 D: 899 [44.507%] Ptnml(0-2): 48, 228, 345, 121, 18
Aron	Integral	lmr_depth *	diff	8.0+0.08	LLR: 2.91 (-2.25, 2.89) [0.00, 3.00] Games: 83984 W: 21158 L: 20755 D: 42071 [50.24%] Ptnml(0-2): 951, 9951, 19758, 10408, 924
DarkNe	Quanticade	master	diff	8.0+0.08 *	Elo: 41.12 +- 5.37 (95%) [N=5000] Games: 5000 W: 1481 L: 892 D: 2627 [55.89%] Ptnml(0-2): 25, 385, 1133, 890, 67
Vast	Anura	policy	diff	8.0+0.08	LLR: -2.31 (-2.25, 2.89) [0.00, 10.00] Games: 112 W: 0 L: 111 D: 1 [0.446%] Ptnml(0-2): 55, 1, 0, 0, 0
Vast	Anura	policy	diff	8.0+0.08	LLR: 0.35 (-2.25, 2.89) [0.00, 10.00] Games: 1166 W: 215 L: 203 D: 748 [50.515%] Ptnml(0-2): 6, 69, 423, 77, 8
Yoshie	PlentyChess	selfgen-tb	diff	N=5000	Generated 1000044/1000000 Games Elo: -0.19 +- 0.58 (95%) [N=1000000] Games: 1000044 W: 366798 L: 367348 D: 265898 [49.973%]
Mid	Spaghet	clamp-eval	diff	8.0+0.08	LLR: 0.28 (-2.25, 2.89) [-3.00, 1.00] Games: 1398 W: 303 L: 293 D: 802 [50.358%] Ptnml(0-2): 1, 151, 389, 153, 5
Mid	Spaghet	clamp-eval	diff	8.0+0.08	LLR: 1.52 (-2.25, 2.89) [-3.00, 1.00] Games: 11232 W: 2701 L: 2654 D: 5877 [50.209%] Ptnml(0-2): 29, 1100, 3323, 1123, 41
Aron	Integral	lmr_depth	diff	8.0+0.08	LLR: -1.95 (-2.25, 2.89) [0.00, 5.00] Games: 16160 W: 4048 L: 4059 D: 8053 [49.966%] Ptnml(0-2): 189, 1939, 3834, 1930, 188
ArjunB	Elixir	tt-score	diff	8.0+0.08	LLR: -2.29 (-2.25, 2.89) [0.00, 3.00] Games: 15932 W: 2622 L: 2731 D: 10579 [49.658%] Ptnml(0-2): 195, 1746, 4171, 1681, 173
Aron	Integral	more_negext	diff	8.0+0.08	LLR: 2.92 (-2.25, 2.89) [0.00, 5.00] Games: 9748 W: 2548 L: 2389 D: 4811 [50.816%] Ptnml(0-2): 106, 1137, 2243, 1268, 120
Aron	Integral	lmr_depth	diff	8.0+0.08	LLR: -0.44 (-2.25, 2.89) [0.00, 5.00] Games: 276 W: 68 L: 87 D: 121 [46.558%] Ptnml(0-2): 10, 34, 65, 23, 6
Mid	Spaghet	noisy-negext	diff	8.0+0.08	LLR: -2.26 (-2.25, 2.89) [0.00, 3.00] Games: 6838 W: 1600 L: 1720 D: 3518 [49.123%] Ptnml(0-2): 38, 841, 1762, 759, 19
Gabe	Obsidian	layers	diff	40.0+0.40	LLR: -1.12 (-2.25, 2.89) [0.00, 2.50] Games: 2064 W: 464 L: 539 D: 1061 [48.183%] Ptnml(0-2): 8, 275, 536, 210, 3
Mid	Spaghet	more-negext	diff	8.0+0.08	LLR: -2.27 (-2.25, 2.89) [0.00, 3.00] Games: 13990 W: 3375 L: 3482 D: 7133 [49.618%] Ptnml(0-2): 67, 1746, 3473, 1645, 64
Gabe	Obsidian	5FF17881A12C2D90	diff	3.0+0.03	LLR: -0.22 (-2.25, 2.89) [0.00, 2.50] Games: 1308 W: 305 L: 318 D: 685 [49.503%] Ptnml(0-2): 5, 144, 372, 125, 8
Gabe	Obsidian	5FF17881A12C2D90	diff	6.0+0.06	LLR: -0.67 (-2.25, 2.89) [0.00, 2.50] Games: 606 W: 136 L: 184 D: 286 [46.04%] Ptnml(0-2): 5, 96, 144, 58, 0
Gabe	Obsidian	1CBA9D2B0FB629E7	diff	3.0+0.03	LLR: -1.37 (-2.25, 2.89) [0.00, 2.50] Games: 592 W: 99 L: 233 D: 260 [38.682%] Ptnml(0-2): 19, 134, 108, 32, 3
Gabe	Obsidian	1A3EAEA18FC627F1	diff	3.0+0.03	LLR: 2.92 (-2.25, 2.89) [0.00, 2.50] Games: 9778 W: 2541 L: 2318 D: 4919 [51.14%] Ptnml(0-2): 35, 985, 2638, 1184, 47
Mid	Spaghet	razoring7	diff	8.0+0.08	LLR: -0.57 (-2.25, 2.89) [0.00, 3.00] Games: 122534 W: 29294 L: 29052 D: 64188 [50.099%] Ptnml(0-2): 507, 14603, 30784, 14887, 486
Mid	Spaghet	razoring6	diff	8.0+0.08	LLR: 2.90 (-2.25, 2.89) [0.00, 3.00] Games: 26516 W: 6507 L: 6271 D: 13738 [50.445%] Ptnml(0-2): 106, 3082, 6670, 3270, 130
Mid	Spaghet	material-draw	diff	8.0+0.08	LLR: -2.27 (-2.25, 2.89) [0.00, 3.00] Games: 45750 W: 10928 L: 10959 D: 23863 [49.966%] Ptnml(0-2): 168, 4518, 13521, 4513, 155
Yoshie	PlentyChess	selfgen-tb	diff	N=5000	Generated 1000122/1000000 Games Elo: -0.10 +- 0.58 (95%) [N=1000000] Games: 1000122 W: 366810 L: 367103 D: 266209 [49.985%]

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