Rank Name                          Elo     +/-   Games   Score    Draw
   0 Crystal 6 PMT                 190       2  180000   74.9%   19.2%
   1 Velvet 8.1.1                   69       6   10000   59.7%   32.8%
   2 Velvet 8.1.0                   67       6   10000   59.5%   32.4%
   3 Crystal 7 CMB                  63       6   10000   59.0%   31.4%
   4 Dragon 3.3                   -106       6   10000   35.2%   27.4%
   5 Viridithas 15.0.0            -109       6   10000   34.8%   29.5%
   6 Dragon 3.2                   -111       6   10000   34.5%   28.4%
   7 Viridithas 14.0.1            -141       6   10000   30.7%   29.5%
   8 Dragon 3.1                   -151       6   10000   29.6%   25.8%
   9 Marvin 6.3.0                 -190       6   10000   25.1%   24.0%
  10 Dragon 3                     -215       7   10000   22.5%   21.7%
  11 Caissa 1.21                  -244       7   10000   19.8%   18.8%
  12 Caissa 1.20                  -280       8   10000   16.6%   16.4%
  13 Stockfish 16                 -484      12   10000    5.8%    6.4%
  14 Stockfish 17                 -533      14   10000    4.4%    5.4%
  15 Stockfish 16.1               -534      13   10000    4.4%    5.7%
  16 Koivisto 9.2                 -542      14   10000    4.2%    4.6%
  17 Clover 8.1                   -585      16   10000    3.3%    3.8%
  18 Berserk 13                   -704      22   10000    1.7%    2.0%

SPRT: llr 0 (0.0%), lbound -inf, ubound inf

Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz
Cores: 8
Logical processors: 16

CuteChess 1.3.1 CLI
TC: inf • Depth: 6 • 16 MB hash
No book • No adjudication • No tablebases • Ponder off • 2 concurrent
Opening suite: named-openings.pgn

All 180K Games:
https://www.mediafire.com/file_premium/84wjmg4y5muzljc/fdrl-241216-a1.zip/file

CSVs made from the full tables downloadable from:
https://training.lczero.org/matches/?show_all=1
https://training.lczero.org/networks/?show_all=1

These are tables of data related to the Leela Chess Zero self-test matches and NNUE networks. Aside from all the relevant data in the matches table, you can also turn the first value in each record — the ID field — into a URL to download the PGN itself if you put it in the following form:

https://storage.lczero.org/files/match_pgns/1/ID-NUM.pgn

It should be noted that while most of the links will come from run 1, some of them don’t, so the /1/ before the ID-NUM is actually variable data as well, and is also listed in the table along with the ID.

The data for the networks, similarly relevant, can not so easily be turned into URLs. They come with the table, but converting strips those out, and so far I don’t have a way around that. So instead I have the networks page itself, which is available at: https://storage.lczero.org/files/networks/

https://www.mediafire.com/file/ki2bt9vgbq55298/networks_storage_output.csv/file

The above link is to a CSV I just made of the networks page itself. This is of limited use, so it’s static. In the next iteration of the script, I’ll try and put all this functionality together. Or, rather, get ChatGPT to do so, as I couldn’t code my way out of a sack of pythons.

NOTE: Those initial HTML links should be saved directly to the hard drive. Attempting to view either link would result in your browser tab crashing, as they’re both too large to display. Hence downloading them directly via the browser and then converting them to CSV, which is what I did, and what these files are:

https://www.mediafire.com/file/fmjc441b7y9dvht/lc0_data_241220.zip/file

And here is the Python script that ChatGPT wrote that generates the CSVs. Using PyInstaller (and with ChatGPT’s help, of course) I managed to get it into EXE form. All you have to do is double-click on it, and it will automagically download both HTML files for you, then convert them each to CSV, putting everything into whatever folder it happens to be in:

https://www.mediafire.com/file/8abgkivf5tl5fl9/lc0_tables_generator.zip/file

Author(s): Norman Schmidt (BEL)
Release Date: 2024-12-17
Language: C++
Protocol: UCI
Repo Owner: FireFather
Repo URL: https://github.com/FireFather/ippolit

Here is source code for the original revolutionary & ground-breaking chess engine from 2009. Now ported to C++. Includes Visual studio project files… For clarity, the source code (which originally incorporated one single file)…has been re-organized to include logical header files.

Many (all) bugs have been removed, source code has been formatted, and the project has been configured to compile both 32-bit and 64-bit binaries.

ippolit 121724     3095 :  16384 (+8129,=2083,-6172),  56.0 %
vs.                     :  games (    +,    =,    -),   (%) :   Diff,  SD, CFS (%)
berserk-8               :   2048 (   47,  107, 1894),   4.9 :   -520,  12,    0.0
fire-8242022            :   2048 (   47,  237, 1764),   8.1 :   -426,  10,    0.0
fizbo-2                 :   2048 (  840,  318,  890),  48.8 :     -9,   5,    5.1
senpai-2.0              :   2048 (  763,  508,  777),  49.7 :     -2,   5,   31.6
hakkapeliitta-3.22      :   2048 ( 1150,  366,  532),  65.1 :   +109,   5,  100.0
quazar-0.4              :   2048 ( 1584,  293,  171),  84.5 :   +297,   6,  100.0
leorik-2.2              :   2048 ( 1776,  172,  100),  90.9 :   +404,  10,  100.0
coiled-1.1              :   2048 ( 1922,   82,   44),  95.8 :   +551,  14,  100.0

https://github.com/FireFather/ippolit/releases/download/121724/ippolit_121724.exe
https://github.com/FireFather/ippolit/archive/refs/tags/121724.zip
https://github.com/FireFather/ippolit/archive/refs/tags/121724.tar.gz

Author(s): Semih Özalp (AUT)
Release Date: 2024-12-17
Language: C++
Repo Owner: h1me01
Repo URL: https://github.com/Dolfost/tartan

Library that provides API for basic checkerboards and game pieces. Also the chess game is fully implemented.

You can see full API documentation here.

Release Note

Improve general cross-platform experience

  • Get rid of bibtex dependency
  • Add proper CI/CD and release generation for darwin/linux/windows
  • Add proper packaging
  • Add proper installing
  • Update docs a bit

https://github.com/Dolfost/tartan/releases/download/v1.2.2.1/tartan-1.2.2-Darwin.tar.gz
https://github.com/Dolfost/tartan/releases/download/v1.2.2.1/tartan-1.2.2-Linux.rpm
https://github.com/Dolfost/tartan/releases/download/v1.2.2.1/tartan-1.2.2-Linux.tar.gz
https://github.com/Dolfost/tartan/releases/download/v1.2.2.1/tartan-1.2.2-win64.msi
https://github.com/Dolfost/tartan/releases/download/v1.2.2.1/tartan-1.2.2-win64.zip
https://github.com/Dolfost/tartan/archive/refs/tags/v1.2.2.1.zip
https://github.com/Dolfost/tartan/archive/refs/tags/v1.2.2.1.tar.gz

Author(s): Rei Meguro (USA)
Release Date: 2024-12-16
Language: C++
Protocol: UCI
Repo Owner: Orbital-Web
Repo URL: https://github.com/Orbital-Web/Raphael

Raphael is a UCI Chess Engine built using C++ and Disservin’s Chess Library. It also comes with a GUI built using SFML.

Changelog

Compiled with -O3 and -DNDEBUG flag for considerably faster code. Reduced size of transposition table, effectively increasing hash table entry count by 1.5x.

Note: there is no comparison with previous versions as the above changes affect all versions (roughly) equally, though the playing strength of the engine should have improved (will test soon).

https://github.com/Orbital-Web/Raphael/releases/download/v1.7.6/main
https://github.com/Orbital-Web/Raphael/releases/download/v1.7.6/main.exe
https://github.com/Orbital-Web/Raphael/releases/download/v1.7.6/Raphael1.7.6.1
https://github.com/Orbital-Web/Raphael/releases/download/v1.7.6/Raphael1.7.6.1.exe
https://github.com/Orbital-Web/Raphael/archive/refs/tags/v1.7.6.zip
https://github.com/Orbital-Web/Raphael/archive/refs/tags/v1.7.6.tar.gz

Author(s): Jon Dart (USA)
Release Date: 2024-12-16
Language: C++
Protocol: UCI/XB
Repo Owner: jdart1
Repo URL: https://github.com/jdart1/arasan-chess
Repo URL: https://www.arasanchess.org/old_downld.shtml

Changes in Arasan 25.0:

  1. Use a single “Book variety” option to control move selection from the book
  2. Some changes to book move selection logic
  3. Fix Intel oneAPI compiler support. Add support for CSSPGO with Intel/clang.
  4. Fixes/updates to selfplay utility. Support output in the format used by bullet.
  5. Add SyzygyUse50MoveRule and SyzygyProbeDepth options for CECP
  6. Make NNUE usage non-optional. Fail on startup if network cannot be loaded.
  7. arasan.rc is no longer loaded by the engine, by default. Auto-loading (the prior behavior) can be enabled via the -a command-line option, or use -r to select a specific file.
  8. Make eval command evaluate current position, like Stockfish
  9. Change SyzygyTbPath option to SyzygyPath, for conformity to Stockfish and most other engines
  10. New network architecture and network
  11. Changes to history score computation
  12. Use capture history for move ordering
  13. Implement a parameter tuning framework for search parameters, tune some using Lakas (https://github.com/jdart1/Lakas)
  14. Changes to static null pruning, adjust margins
  15. Windows GUI sources are now included in the repo
  16. GUI can set some options formerly only settable via arasan.rc

There is also an update to the Arasan test suite, available here: https://arasanchess.org/testsuite.shtml.

Test results of version 25.0 against version 24.2, tc 1:0+0.8, 512MB, 8moves_v3.pgn book:

Elo: 19.13 +/- 6.86, nElo: 42.52 +/- 15.23
LOS: 100.00 %, DrawRatio: 79.50 %
Games: 2000, Wins: 260, Losses: 150, Draws: 1590, Points: 1055.0 (52.75 %)

https://github.com/jdart1/arasan-chess/archive/refs/tags/v25.0.zip
https://github.com/jdart1/arasan-chess/archive/refs/tags/v25.0.tar.gz
https://arasanchess.org/arasan25.0.exe
https://arasanchess.org/arasan25.0.zip
https://arasanchess.org/arasan-linux-binaries-25.0.tar.gz
https://arasanchess.org/arasan25.0-m1.dmg
https://arasanchess.org/arasan25.0-intel.dmg

Author(s): Aron Petkovski (USA)
Release Date: 2024-12-16
Language: C++
Protocol: UCI
Repo Owner: aronpetko
Repo URL: https://github.com/aronpetko/integral

This update should let Integral breach into the top 15, maybe even top 10 if it scales well enough. It’s genuinely crazy seeing where this project is now.

Notable things in this update are:

  • Support for Multi-PV
  • Many search improvements and an SPSA tune
  • Bug fixes for wrong scores returned when using Syzygy tablebases

And of course, special thanks to everyone in my OpenBench instance and the kind, helpful people in the Stockfish discord.

Progression Tests

STC

Elo   | 48.98 +- 6.48 (95%)
Conf  | 8.0+0.08s Threads=1 Hash=16MB
Games | N: 3006 W: 946 L: 525 D: 1535
Penta | [5, 197, 700, 574, 27]
https://chess.aronpetkovski.com/test/6574/

LTC

Elo   | 52.95 +- 6.17 (95%)
Conf  | 40.0+0.40s Threads=1 Hash=32MB
Games | N: 3002 W: 963 L: 509 D: 1530
Penta | [1, 185, 679, 631, 5]
https://chess.aronpetkovski.com/test/6601/

https://github.com/aronpetko/integral/releases/download/v6/integral_avx2.exe
https://github.com/aronpetko/integral/releases/download/v6/integral_avx2_bmi2.exe
https://github.com/aronpetko/integral/releases/download/v6/integral_avx512.exe
https://github.com/aronpetko/integral/releases/download/v6/integral_sse41_popcnt.exe
https://github.com/aronpetko/integral/releases/download/v6/integral_vnni512.exe
https://github.com/aronpetko/integral/archive/refs/tags/v6.zip
https://github.com/aronpetko/integral/archive/refs/tags/v6.tar.gz

Author: Evan Fung
Release Date: 2024-12-16
Language: C++
Protocol: UCI
Repo Owner: 0mn1verze
Repo URL: https://github.com/0mn1verze/Maestro-Chess-Engine

Fix Logs

  • Added singular extension search
  • Fixed capture move bug in late move reductions
  • Refactored files like hash.cpp and eval.cpp
  • Improved staged move generation
  • Fixed other search bugs

Match Results

Maestro vs Rybka 2.3.2a 64bit:

  • 0.30/0.3 time controls on a i7-10750H with turbo boost on
  • WDL ratio: 23 – 3 – 4

Use Tips

  • Put the exe file, nnue file, and the bin file in the same folder for it to run correctly.
  • Please see the manual for UCI Commands
  • Website Demo

Custom commands

  • “b” – print board
  • “bench” – benchmarking move generation using positions from bench.csv

Performance

  • Rough estimate of 3000 elo

https://github.com/0mn1verze/Maestro-Chess-Engine/releases/download/V1.3/bench.csv
https://github.com/0mn1verze/Maestro-Chess-Engine/releases/download/V1.3/Maestro.exe
https://github.com/0mn1verze/Maestro-Chess-Engine/releases/download/V1.3/nn-eba324f53044.nnue
https://github.com/0mn1verze/Maestro-Chess-Engine/releases/download/V1.3/OPTIMUS2403.bin
https://github.com/0mn1verze/Maestro-Chess-Engine/archive/refs/tags/V1.3.zip
https://github.com/0mn1verze/Maestro-Chess-Engine/archive/refs/tags/V1.3.tar.gz

2024 FIDE Chess World Championship

                            1 2 3 4 5 6 7 8 9 0 1 2 3 4
1   Gukesh D    2783   -30  0 ½ 1 ½ ½ ½ ½ ½ ½ ½ 1 0 ½ 1    7.5/14
2   Ding,Liren  2728   +30  1 ½ 0 ½ ½ ½ ½ ½ ½ ½ 0 1 ½ 0    6.5/14

All 14 games (with evaluations and clock times):
https://www.mediafire.com/file/z60gn9zrw6iifq2/2024-fide-world-championship.pgn/file

Ding Liren (2728) – Gukesh Dommaraju (2783)
November 25 – December 13, 2024
Resorts World Sentosa, Singapore
Organized by Singapore Chess Federation
https://worldchampionship.fide.com/
https://en.wikipedia.org/wiki/World_Chess_Championship_2024

1819 games of Ding Liren (with evaluations and novelties):
https://www.mediafire.com/file/vwss0ydl0a9wqzu/ding-liren.pgn/file

2256 games of Gukesh Dommaraju (with evaluations and novelties):
https://www.mediafire.com/file/lwkhavsznlat9o3/gukesh-dommaraju.pgn/file

Rank Name                          Elo     +/-   Games   Score    Draw
   0 Crystal 7 CMB                 246       2  170000   80.4%   18.8%
   1 Velvet 8.1.1                   15       5   10000   52.2%   37.9%
   2 Velvet 8.1.0                   14       5   10000   52.0%   38.0%
   3 Viridithas 15.0.0            -145       6   10000   30.3%   32.5%
   4 Dragon 3.3                   -159       6   10000   28.6%   27.7%
   5 Dragon 3.2                   -160       6   10000   28.5%   27.9%
   6 Viridithas 14.0.1            -162       6   10000   28.3%   31.5%
   7 Dragon 3.1                   -192       6   10000   24.9%   24.8%
   8 Marvin 6.3.0                 -217       7   10000   22.3%   24.9%
   9 Dragon 3                     -257       7   10000   18.6%   19.5%
  10 Caissa 1.21                  -281       8   10000   16.5%   17.9%
  11 Caissa 1.20                  -325       8   10000   13.3%   15.1%
  12 Stockfish 16                 -560      15   10000    3.8%    4.8%
  13 Koivisto 9.2                 -577      15   10000    3.5%    4.5%
  14 Clover 8.1                   -600      16   10000    3.1%    3.8%
  15 Stockfish 17                 -608      16   10000    2.9%    3.9%
  16 Stockfish 16.1               -620      17   10000    2.7%    3.6%
  17 Berserk 13                   -771      27   10000    1.2%    1.3%

SPRT: llr 0 (0.0%), lbound -inf, ubound inf

Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz
Cores: 8
Logical processors: 16

CuteChess 1.3.1 CLI
TC: inf • Depth: 6 • 16 MB hash
No book • No adjudication • No tablebases • Ponder off • 4 concurrent
Opening suite: named-openings.pgn

All 170K Games:
https://www.mediafire.com/file/rizjr11g4word48/fdrl-241213-a1.zip/file

Author(s): Mattia Giambirtone
Release Date: 2024-12-13
Language: Nim
Protocol: UCI
Repo Owner: nocturn9x
Repo URL: https://git.nocturn9x.space/nocturn9x/heimdall

This release addresses a bug that I had inadvertently introduced while refactoring Heimdall’s SMP functionality. For simplicity (and my own sanity), I have reverted the change and switched back to the old way of spawning threads, which means they are re-created at every go command (inefficient, but at least it works!)

Please refer to 1.2’s release notes for an accurate changelog and strength improvements

https://git.nocturn9x.space/nocturn9x/heimdall/archive/1.2.2.zip
https://git.nocturn9x.space/nocturn9x/heimdall/archive/1.2.2.tar.gz
https://git.nocturn9x.space/nocturn9x/heimdall/releases/download/1.2.2/heimdall-linux-amd64
https://git.nocturn9x.space/nocturn9x/heimdall/releases/download/1.2.2/heimdall-linux-amd64-modern
https://git.nocturn9x.space/nocturn9x/heimdall/releases/download/1.2.2/heimdall-windows-amd64.exe
https://git.nocturn9x.space/nocturn9x/heimdall/releases/download/1.2.2/heimdall-windows-amd64-modern.exe

Author(s): Alcides Schulz (USA)
Release Date: 2024-12-12
Language: C
Protocol: UCI
Repo Owner: alcides-schulz
Repo URL: https://github.com/alcides-schulz/Tucano

It now returns to the version 10.00 neural network architecture but with the incremental evaluation update, and other search improvements.

In this release you will find the network file “tucano_nn03.bin” that has to be saved to the same folder as the executable file, or can be indicated in the parameters. Please review the readme.md file for more information.

Also includes executables for windows and linux (centos).
This version is stronger than previous 11.00 version.

https://github.com/alcides-schulz/Tucano/releases/download/12.00/tucano.1200.zip
https://github.com/alcides-schulz/Tucano/archive/refs/tags/12.00.zip
https://github.com/alcides-schulz/Tucano/archive/refs/tags/12.00.tar.gz