Aug 27 2023
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Currently playing: 72. Viridithas 11.0.0-dev2-Seer 20230703

Previous game 71. Clover 6.0.7-RubiChess 20230823 1-0 added to BayesElo lists, result table:

Position in r-mobility table and r-moblity points can give different order in some cases

Pos Engine Rating % Points Games Direct encounter SB r-mobility points r-mobility -/- points
1. RubiChess 20230823 3495±32 70.8 8.5 12 0.0 48.25 8.509765625 0.009765625
2. rofChade 3.033 3475±34 62.5 7.5 12 0.5 41.75 7.469238281 -0.030761719
3. Igel 3.5.5 3494±27 62.5 7.5 12 0.5 40.25 7.530273453 0.030273453
4. Seer 20230703 3468±35 54.5 6.0 11 0.5 33.50 5.968750000 -0.031250000
5. Caissa 1.11.15 3425±36 54.2 6.5 12 0.0 34.00 6.533203125 0.033203125
6. Revenge 20230815 3464±35 50.0 6.0 12 2.0 31.25 6.002075194 0.002075194
7. Clover 6.0.7 3430±34 50.0 6.0 12 0.5 36.50 6.031250015 0.031250015
8. Minic 3.38 3435±33 45.8 5.5 12 0.0 32.25 5.590332032 0.090332032
9. Viridithas 11.0.0-dev2 3419±37 45.5 5.0 11 0.0 27.50 4.468749985 -0.531250015
10. ScorpioNN 3.0.15.11 3427±35 37.5 4.5 12 0.0 24.50 4.500061020 0.000061020
11. DeepSjeng 3.6 a24 3390±34 33.3 4.0 12 1.0 23.25 4.001831055 0.001831055
12. Fritz Valencia_1.01 3370±31 33.3 4.0 12 0.0 25.50 4.394470214 0.394470214

R-mobility results as a table, not used as a tiebreak (see r-mobility points above)

G0.0==mate (including cursed mates), score(number of games), previous game was G0.0
17 different goal results

Pos Name G0.0 G1.0 G2.0 G3.0 G4.0 G5.0 G6.0 G6.5 G12.5 G14.5 G16.5 G18.5 G21.5 G23.5 G24.5 G25.5 G27.5
1. RubiChess 20230823 5(7) 0(2) 1(1) 1(1) -1(1)
2. Igel 3.5.5 3(5) 1(1) -2(2) 1(1) 1(1) -1(1) 1(1)
3. rofChade 3.033 3(7) -1(1) 1(1) -1(1) 1(1) -1(1)
4. Caissa 1.11.15 1(9) 1(1) 1(1) 1(1)
5. Seer 20230703 1(7) -1(1) -1(1) -1(1) 1(1)
6. Clover 6.0.7 0(8) 1(1) 1(1) -1(1) 1(1)
7. Revenge 20230815 0(6) 1(1) 1(1) -1(1) -1(1) 0(2)
8. Minic 3.38 -1(3) 1(1) -1(1) -2(2) 1(1) 1(1) 1(1) -1(1) -1(1)
9. Viridithas 11.0.0-dev2 -2(8) -1(1) -1(1) 1(1)
10. ScorpioNN 3.0.15.11 -3(7) 1(1) -1(1) 1(1) -1(1) 1(1)
11. Fritz Valencia_1.01 -3(5) -1(1) 1(1) -1(1) -2(2) -1(1) -1(1)
12. DeepSjeng 3.6 a24 -4(8) 1(1) -1(1) 1(1) 1(1)

Bayes Elo Ratings

Stockfish_13_CCRL is used as offset at 3526. Difference for some values in parenthesis if any. Created using Bayesian-Elo and some local scripts.

See also BayesElo rating based on previous and current season games (2 seasons). This is used in GUI and is the current rating.

TCEC rating

Ratings after last game.

All

Rank Name Elo + – games score oppo. draws
1 Stockfish 3666 20 20 420 63% 3572 56%
2 LCZero 3633 21 21 389 57% 3572 58%
3 Stockfish_15_300M 3612 12 12 1138 55% 3577 70%
4 KomodoDragon 3585(-1) 27 27 230 57% 3534 59%
5 Stockfish_15_100M 3572 7 7 3198 54% 3544 68%
6 Ethereal 3533(-1) 28 28 209 51% 3526 63%
7 Stockfish_13_CCRL 3524 9 9 2048 51% 3519 69%
8 Stockfish_15_30M_4th 3519 6 6 5120 51% 3510 69%
9 Stockfish_15_30M 3500 7 7 3196 49% 3504 67%
10 Berserk 3495 30 30 181 50% 3497 59%
11(+2) Koivisto 3493 33 33 152 51% 3485 57%
12 Igel 3493(-1) 27 27 224 58% 3433 61%
13(-2) RubiChess 3493(-2) 32 32 165(+1) 55% 3460 58%
14 Stoofvlees 3492(-1) 34 34 154 49% 3493 47%
15 rofChade 3475 34 34 150 53% 3452 56%
16 Seer 3468 35 35 137 53% 3443 50%
17 Revenge 3464 35 35 141 54% 3436 52%
18 Minic 3435 33 33 152 48% 3447 61%
19 Clover 3432(+2) 34 34 151(+1) 59% 3374 56%
20 Stockfish_15_10M 3428 7 7 3222 46% 3456 63%
21 ScorpioNN 3427 35 35 143 50% 3426 52%
22 Caissa 3426(+1) 36 36 138 59% 3359 49%
23 Viridithas 3419 37 37 131 58% 3356 51%
24 SlowChess 3418 35 35 134 44% 3463 56%
25 Arasan 3400 30 30 182 53% 3383 59%
26 DeepSjeng 3390 34 34 144 53% 3366 60%
27 Fritz 3370 31 31 176 48% 3385 56%
28 BlackMarlin 3365 29 29 200 48% 3381 61%
29 Smallbrain 3356 38 38 120 53% 3332 53%
30 Stockfish_15_3M 3353 9 9 2198 51% 3345 59%
31 Uralochka 3353 31 31 170 51% 3343 62%
32 Marvin 3340 29 29 205 44% 3378 56%
33 Velvet 3337 32 32 164 48% 3353 54%
34 Wasp 3323 29 29 199 46% 3348 56%
35 Booot 3316 36 36 132 48% 3323 58%
36 Weiss 3309 43 43 93 52% 3294 52%
37 Equisetum 3303(+1) 48 48 77 51% 3295 52%
38 Halogen 3302 33 33 154 45% 3334 58%
39 Tucano 3297 32 32 160 44% 3334 64%
40 Nemorino 3284 48 48 78 40% 3353 49%
41 Stockfish_15_1M 3259 9 9 2172 51% 3249 56%
42 Mantissa 3257 47 47 88 48% 3264 35%
43 BlackCore 3255 51 51 68 47% 3272 50%
44 Winter 3241 47 47 88 48% 3251 41%
45 Stash 3224(+1) 45 45 95 45% 3254 34%
46 Zahak 3217 78 78 31 47% 3250 35%
47 Expositor 3204 35 35 154 39% 3276 47%
48 Counter 3201 88 88 24 50% 3196 42%
49 Mr_Bob 3170 46 46 89 44% 3206 39%
50 Stockfish_15_300k 3138 9 9 2142 52% 3124 49%
51 ChessFighter 3136(+1) 46 46 93 41% 3196 40%
52 Drofa 3113 80 80 33 41% 3204 27%
53 StockDory 3112 54 54 66 38% 3192 42%
54 StockNemo 3091 77 77 30 43% 3141 40%
55 Amoeba 3060 88 88 24 44% 3105 29%
56 Stockfish_15_100k 2979 10 10 2108 53% 2952 39%
57 Cheese 2943(+1) 98 98 24 31% 3118 29%
58 Bagatur 2904(+1) 65 65 58 29% 3080 17%
59 ice4 2846 53 53 122 59% 2661 24%
60 4ku 2838 52 52 122 59% 2644 25%
61 OliThink 2791 98 98 32 23% 3034 16%
62 Stockfish_15_30k 2755 10 10 2080 51% 2744 30%
63 STRO4K 2532 79 79 68 63% 2339 4%
64 Stockfish_15_10k 2506 12 12 2066 55% 2445 19%
65 M4sseur 2244 78 78 70 39% 2394 4%
66 Stockfish_15_3k 2131 15 15 2054 50% 2119 9%
67 pygone 1924(+1) 92 92 64 15% 2435 5%
68 sunfish 1885 101 101 62 11% 2453 6%
69 Stockfish_15_1k 1732 22 22 1032 7% 2131 8%
Posted inBayesElo