May 31 2023
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Currently playing: 11. Halogen 11.4.1-Cheese 3.1.1

Previous game 10. Wasp 6.53-Halogen 11.4.1 1/2-1/2 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. Smallbrain dev-20230322-7b7319d 3386±102 75.0 1.5 2 0.5 1.75 1.500030518 0.000030518
2. Halogen 11.4.1 3342±105 75.0 1.5 2 0.5 1.25 1.500488281 0.000488281
3. Stash 34.9 3268±68 75.0 1.5 2 0.5 0.75 1.499969482 -0.000030518
4. Wasp 6.53 3438±63 75.0 1.5 2 0.5 0.75 1.499511719 -0.000488281
5. Velvet 5.2.0 3458±63 75.0 1.5 2 0.0 1.25 1.375000000 -0.125000000
6. Weiss 2.1-dev7 3347±69 50.0 1.0 2 0.0 0.00 1.000000000 0.000000000
7. Winter 2.04b 3293±66 50.0 1.0 2 0.0 0.00 1.000000000 0.000000000
8. Drofa 4.0.4 3270±94 25.0 0.5 2 0.0 0.75 0.625000000 0.125000000
9. Nemorino 6.11 3232±75 0.0 0.0 2 0.0 0.00 0.000000000 0.000000000
10. Cheese 3.1.1 3000±88 0.0 0.0 2 0.0 0.00 0.000000000 0.000000000

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 -G5.0
4 different goal results

Pos Name G0.0 G1.0 G5.0 G7.0
1. Halogen 11.4.1 1(1) 1(1)
2. Smallbrain dev-20230322-7b7319d 1(1) 1(1)
3. Stash 34.9 1(1) -1(1)
4. Wasp 6.53 1(1) -1(1)
5. Velvet 5.2.0 1(1) -1(1)
6. Winter 2.04b 0(2)
7. Weiss 2.1-dev7 0(2)
8. Drofa 4.0.4 -1(1) 1(1)
9. Nemorino 6.11 -2(2)
10. Cheese 3.1.1 -2(2)

Bayes Elo Ratings

Stockfish_15_300M is sed as offset at 3609 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 3708 25 25 312 61% 3625 46%
2 LCZero 3687 25 25 314 57% 3633 46%
3 KomodoDragon 3648 41 41 124 61% 3564 45%
4 Stockfish_15_300M 3609 85 85 24 40% 3677 63%
5 Ethereal 3597 40 40 120 55% 3562 49%
6 Stockfish_15_100M 3571 83 83 26 42% 3623 54%
7 Stoofvlees 3570 47 47 94 53% 3545 39%
8 ScorpioNN 3556 58 58 58 55% 3519 52%
9 Berserk 3552 39 39 130 50% 3549 54%
10 RubiChess 3545 44 44 100 49% 3550 51%
11 Revenge 3530(+1) 57 57 62 56% 3476 42%
12 rofChade 3519 45 45 100 48% 3537 48%
13 Stockfish_15_30M 3515 74 74 34 44% 3553 53%
14 Stockfish_15_10M 3504 78 78 30 43% 3547 53%
15 SlowChess 3498(-1) 50 50 78 46% 3533 55%
16 Stockfish_15_3M 3498(+1) 83 83 32 61% 3405 28%
17 Minic 3483 58 58 62 52% 3458 47%
18 Velvet 3459(+1) 63 63 56 54% 3422 29%
19 Wasp 3434(-4) 62 62 52(+1) 55% 3395 52%
20 Marvin 3431 64 64 54 55% 3391 46%
21 Smallbrain 3385(-1) 101 101 18 44% 3420 56%
22 BlackMarlin 3383 61 61 58 47% 3400 38%
23 Stockfish_15_1M 3359(+1) 73 73 40 46% 3381 33%
24(+1) Halogen 3355(+13) 102 102 18(+1) 47% 3367 61%
25(-1) Weiss 3347 69 69 50 43% 3392 30%
26 Winter 3294(+1) 65 65 52 50% 3286 38%
27 Vajolet2 3276 84 84 36 42% 3346 22%
28 Drofa 3271(+1) 94 94 24 38% 3366 42%
29 Stash 3268 68 68 52 41% 3341 29%
30 Monolith 3257 80 80 34 41% 3321 41%
31(+1) Chiron 3256 77 77 40 38% 3351 30%
32(-1) ClassicAra 3256 78 78 36 38% 3329 47%
33 Stockfish_15_300k 3234(+1) 64 64 56 44% 3278 34%
34 Nemorino 3232 75 75 48 33% 3368 21%
35 Stockfish_15_100k 3041(+1) 87 87 34 37% 3146 26%
36 Cheese 3001(+1) 88 88 50 14% 3344 12%
37 Bagatur 2925(+1) 82 82 48 15% 3223 21%
Posted inBayesElo