Dev Builds » 20200118-0044

Use this dev build

NCM plays each Stockfish dev build 20,000 times against Stockfish 15. This yields an approximate Elo difference and establishes confidence in the strength of the dev builds.

Summary

Host Duration Avg Base NPS Games WLD Standard Elo Ptnml(0-2) Gamepair Elo
ncm-dbt-01 10:42:41 586359 6652 85 4296 2271 -259.35 ± 5.06 998 2215 113 0 0 -704.97 ± 32.38
ncm-dbt-02 10:42:35 586600 6672 85 4346 2241 -262.62 ± 5.2 1043 2178 112 3 0 -697.85 ± 32.51
ncm-dbt-03 10:42:33 587467 6676 83 4330 2263 -261.17 ± 5.15 1026 2199 109 4 0 -699.46 ± 32.94
20000 253 12972 6775 -261.04 ± 2.97 3067 6592 334 7 0 -700.73 ± 18.69

Test Detail

ID Host Base NPS Games WLD Standard Elo Ptnml(0-2) Gamepair Elo CLI PGN
370715 ncm-dbt-01 586520 152 3 97 52 -250.98 ± 34.06 22 50 4 0 0 -627.19 ± 329.82
370714 ncm-dbt-02 588984 172 5 110 57 -246.54 ± 31.62 24 57 5 0 0 -609.43 ± 223.06
370713 ncm-dbt-03 587240 176 2 125 49 -300.54 ± 38.26 37 49 2 0 0 -775.63 ± 288.43
370712 ncm-dbt-01 586943 500 7 320 173 -255.29 ± 18.11 72 169 9 0 0 -694.7 ± 134.18
370711 ncm-dbt-02 589411 500 6 334 160 -272.99 ± 20.01 86 156 8 0 0 -715.51 ± 146.53
370710 ncm-dbt-03 586604 500 9 326 165 -259.9 ± 19.78 79 160 10 1 0 -643.7 ± 122.54
370709 ncm-dbt-01 586097 500 6 325 169 -262.24 ± 18.98 78 163 9 0 0 -694.7 ± 134.18
370708 ncm-dbt-03 585211 500 5 317 178 -254.15 ± 17.11 68 176 6 0 0 -766.17 ± 188.02
370707 ncm-dbt-02 584664 500 7 317 176 -251.89 ± 18.5 72 166 12 0 0 -643.67 ± 110.29
370706 ncm-dbt-01 587877 500 8 325 167 -259.9 ± 19.24 78 161 11 0 0 -659.13 ± 116.77
370705 ncm-dbt-03 588004 500 8 315 177 -248.52 ± 17.52 67 173 10 0 0 -676.04 ± 124.55
370704 ncm-dbt-02 587070 500 11 321 168 -251.89 ± 19.02 74 162 14 0 0 -616.18 ± 100.06
370703 ncm-dbt-01 585759 500 6 308 186 -243.0 ± 16.8 62 178 10 0 0 -676.04 ± 124.55
370702 ncm-dbt-03 587919 500 6 327 167 -264.59 ± 18.98 79 163 8 0 0 -715.51 ± 146.53
370701 ncm-dbt-02 584453 500 6 328 166 -265.77 ± 18.55 78 166 6 0 0 -766.17 ± 188.02
370700 ncm-dbt-01 588941 500 2 327 171 -269.36 ± 18.08 78 169 3 0 0 -887.58 ± 222.18
370699 ncm-dbt-03 586901 500 7 317 176 -251.89 ± 19.02 73 165 11 1 0 -629.43 ± 115.29
370698 ncm-dbt-02 585421 500 6 326 168 -263.41 ± 18.84 78 164 8 0 0 -715.51 ± 146.53
370697 ncm-dbt-01 587325 500 11 316 173 -246.3 ± 18.04 68 169 13 0 0 -629.41 ± 104.8
370696 ncm-dbt-03 589582 500 11 327 162 -258.75 ± 19.89 79 159 11 1 0 -629.43 ± 115.29
370695 ncm-dbt-02 585928 500 5 311 184 -247.41 ± 17.65 67 172 11 0 0 -659.13 ± 116.77
370694 ncm-dbt-01 584916 500 7 323 170 -258.74 ± 18.26 74 168 8 0 0 -715.51 ± 146.53
370693 ncm-dbt-03 587834 500 2 331 167 -274.22 ± 18.96 83 163 4 0 0 -837.28 ± 240.94
370692 ncm-dbt-02 588728 500 5 332 163 -271.78 ± 19.28 83 161 6 0 0 -766.17 ± 188.02
370691 ncm-dbt-01 586816 500 9 325 166 -258.74 ± 19.36 78 160 12 0 0 -643.67 ± 110.29
370690 ncm-dbt-03 587367 500 5 330 165 -269.36 ± 19.57 83 159 8 0 0 -715.51 ± 146.53
370689 ncm-dbt-02 587749 500 6 332 162 -270.57 ± 19.71 84 158 8 0 0 -715.51 ± 146.53
370688 ncm-dbt-01 584327 500 7 327 166 -263.41 ± 18.84 78 164 8 0 0 -715.51 ± 146.53
370687 ncm-dbt-03 590053 500 2 318 180 -258.74 ± 17.39 71 174 5 0 0 -798.18 ± 231.48
370686 ncm-dbt-02 587749 500 10 326 164 -258.74 ± 19.36 78 160 12 0 0 -643.67 ± 110.29
370685 ncm-dbt-01 587028 500 5 317 178 -254.15 ± 17.4 69 174 7 0 0 -739.05 ± 163.27
370684 ncm-dbt-02 588430 500 5 323 172 -261.07 ± 18.83 76 167 6 1 0 -715.55 ± 177.2
370683 ncm-dbt-03 588217 500 5 318 177 -255.3 ± 18.11 71 172 6 1 0 -715.55 ± 177.2
370682 ncm-dbt-01 583698 500 2 328 170 -270.57 ± 18.53 80 166 4 0 0 -837.28 ± 240.94
370681 ncm-dbt-02 580945 500 2 328 170 -270.57 ± 18.53 79 169 1 1 0 -887.69 ± 234.86
370680 ncm-dbt-03 584622 500 7 330 163 -266.96 ± 19.56 82 159 9 0 0 -694.7 ± 134.18
370679 ncm-dbt-02 587409 500 7 339 154 -277.92 ± 21.17 92 148 10 0 0 -676.04 ± 124.55
370678 ncm-dbt-01 586604 500 11 321 168 -251.89 ± 18.5 72 166 12 0 0 -643.67 ± 110.29
370677 ncm-dbt-03 587749 500 9 327 164 -261.07 ± 19.38 79 160 11 0 0 -659.13 ± 116.77
370676 ncm-dbt-01 586181 500 1 337 162 -282.94 ± 19.67 89 158 3 0 0 -887.58 ± 222.18
370675 ncm-dbt-03 587240 500 5 322 173 -259.9 ± 18.41 75 167 8 0 0 -715.51 ± 146.53
370674 ncm-dbt-02 585464 500 4 319 177 -257.59 ± 18.12 72 172 5 1 0 -739.1 ± 208.89

Commit

Commit ID c3483fa9a7d7c0ffa9fcc32b467ca844cfb63790
Author Stéphane Nicolet
Date 2020-01-18 00:44:37 UTC
Stockfish 11 Official release version of Stockfish 11. Bench: 5156767 ----------------------- It is our pleasure to release Stockfish 11 to our fans and supporters. Downloads are freely available at http://stockfishchess.org/download/ This version 11 of Stockfish is 50 Elo stronger than the last version, and 150 Elo stronger than the version which famously lost a match to AlphaZero two years ago. This makes Stockfish the strongest chess engine running on your smartphone or normal desktop PC, and we estimate that on a modern four cores CPU, Stockfish 11 could give 1:1000 time odds to the human chess champion having classical time control, and be on par with him. More specific data, including nice cumulative curves for the progression of Stockfish strength over the last seven years, can be found on [our progression page][1], at [Stefan Pohl site][2] or at [NextChessMove][3]. In October 2019 Stockfish has regained its crown in the TCEC competition, beating in the superfinal of season 16 an evolution of the neural-network engine Leela that had won the previous season. This clash of style between an alpha-beta and an neural-network engine produced spectacular chess as always, with Stockfish [emerging victorious this time][0]. Compared to Stockfish 10, we have made hundreds of improvements to the [codebase][4], from the evaluation function (improvements in king attacks, middlegame/endgame transitions, and many more) to the search algorithm (some innovative coordination methods for the searching threads, better pruning of unsound tactical lines, etc), and fixed a couple of bugs en passant. Our testing framework [Fishtest][5] has also seen its share of improvements to continue propelling Stockfish forward. Along with a lot of small enhancements, Fishtest has switched to new SPRT bounds to increase the chance of catching Elo gainers, along with a new testing book and the use of pentanomial statistics to be more resource-efficient. Overall the Stockfish project is an example of open-source at its best, as its buzzing community of programmers sharing ideas and daily reviewing their colleagues' patches proves to be an ideal form to develop innovative ideas for chess programming, while the mathematical accuracy of the testing framework allows us an unparalleled level of quality control for each patch we put in the engine. If you wish, you too can help our ongoing efforts to keep improving it, just [get involved][6] :-) Stockfish is also special in that every chess fan, even if not a programmer, [can easily help][7] the team to improve the engine by connecting their PC to Fishtest and let it play some games in the background to test new patches. Individual contributions vary from 1 to 32 cores, but this year Bojun Guo made it a little bit special by plugging a whole data center during the whole year: it was a vertiginous experience to see Fishtest spikes with 17466 cores connected playing [25600 games/minute][8]. Thanks Guo! The Stockfish team [0]: <http://mytcecexperience.blogspot.com/2019/10/season-16-superfinal-games-91-100.html> [1]: <https://github.com/glinscott/fishtest/wiki/Regression-Tests> [2]: <https://www.sp-cc.de/index.htm> [3]: <https://nextchessmove.com/dev-builds> [4]: <https://github.com/official-stockfish/Stockfish> [5]: <https://tests.stockfishchess.org/tests> [6]: <https://stockfishchess.org/get-involved/> [7]: <https://github.com/glinscott/fishtest/wiki> [8]: <https://groups.google.com/forum/?fromgroups=#!topic/fishcooking/lebEmG5vgng%5B1-25%5D>
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