May 31 2023
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Currently playing: 15. Winter 2.04b-Stash 34.9

Previous game 14. Smallbrain dev-20230322-7b7319d-Weiss 2.1-dev7 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. Smallbrain dev-20230322-7b7319d 3383±102 83.3 2.5 3 0.0 2.75 2.500030518 0.000030518
2. Velvet 5.2.0 3462±63 83.3 2.5 3 0.0 2.75 2.375000000 -0.125000000
3. Halogen 11.4.1 3354±102 83.3 2.5 3 0.0 1.25 2.500488281 0.000488281
4. Stash 34.9 3268±68 75.0 1.5 2 0.0 2.25 1.499969482 -0.000030518
5. Wasp 6.53 3429±61 50.0 1.5 3 0.0 1.25 1.499511719 -0.000488281
6. Winter 2.04b 3294±66 50.0 1.0 2 0.0 0.00 1.000000000 0.000000000
7. Weiss 2.1-dev7 3347±69 33.3 1.0 3 1.0 1.00 1.000000000 0.000000000
8. Nemorino 6.11 3239±73 33.3 1.0 3 0.0 0.50 1.000000000 0.000000000
9. Drofa 4.0.4 3257±92 16.7 0.5 3 0.0 1.25 0.625000000 0.125000000
10. Cheese 3.1.1 3001±88 0.0 0.0 3 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 G0.0
4 different goal results

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

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% 3563 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 3555 58 58 58 55% 3518 52%
9 Berserk 3552 39 39 130 50% 3548 54%
10 RubiChess 3545 44 44 100 49% 3550 51%
11 Revenge 3530 57 57 62 56% 3477 42%
12 rofChade 3519 45 45 100 48% 3537 48%
13 Stockfish_15_30M 3515 74 74 34 44% 3552 53%
14 Stockfish_15_10M 3504 78 78 30 43% 3547 53%
15 Stockfish_15_3M 3498 83 83 32 61% 3405 28%
16 SlowChess 3498 50 50 78 46% 3533 55%
17 Minic 3484 58 58 62 52% 3458 47%
18 Velvet 3462 63 63 57 54% 3422 28%
19 Marvin 3431 64 64 54 55% 3391 46%
20 Wasp 3429 61 61 53 54% 3396 51%
21(+1) Smallbrain 3393(+10) 99 99 19(+1) 47% 3414 53%
22(-1) BlackMarlin 3383 62 62 58 47% 3400 38%
23 Stockfish_15_1M 3357 73 73 40 46% 3380 33%
24 Halogen 3354 102 102 19 50% 3347 58%
25 Weiss 3342(-5) 68 68 51(+1) 42% 3392 29%
26 Winter 3294 66 66 52 50% 3286 38%
27 Vajolet2 3276 84 84 36 42% 3346 22%
28 Stash 3269(+1) 68 68 52 41% 3342 29%
29(+1) Drofa 3258(+1) 93 93 25 36% 3360 40%
30(-1) Monolith 3257 80 80 34 41% 3321 41%
31 Chiron 3256 77 77 40 38% 3350 30%
32 ClassicAra 3255 78 78 36 38% 3328 47%
33 Nemorino 3239 74 74 49 35% 3366 20%
34 Stockfish_15_300k 3232 64 64 56 44% 3277 34%
35 Stockfish_15_100k 3040 87 87 34 37% 3145 26%
36 Cheese 3000(-1) 88 88 51 14% 3344 12%
37 Bagatur 2924 82 82 48 15% 3222 21%
Posted inBayesElo