Since you’re here...

We hope you will consider supporting us today. We need your support to continue to exist, because good entries are more and more work time. Every reader contribution, however big or small, is so valuable. Support "Chess Engines Diary" even a small amount– and it only takes a minute. Thank you.
============================== My email: jotes@go2.pl



Z5 2.1 wins Amateur League CEDR group A9 edition 07/2023 (2023.11.21-22)

-

 


🥇Z5 2.1 🥈Boychesser 1.0 🥉Timecat 1.0

Promotion to the Amateur League Group A8: Z5 2.1, Boychesser 1.0, Timecat 1.0.
End of testing of these engines: Piglet 1.3.3, Schneizel 2.0, Rusty-rival 1.0.4.

@chessenginesdiary
🕓 Time 3'+3" 💻Lenovo Z710 i7-4710MG 8GB RAM 🖬 GUI-Arena

💾 182 games from the tournament download

Country - Poland, City - Malbork
💾 All CEDR 218.153 games download (3'+3") 

Prelims: Amateur and new engines

A1 Edition 07/2023 – 3’+3” Rating Score note
1 Obsidian 6.0 3224 23.0 / 30 promotion
2 Avalanche 2.0.0 3280 21.5 / 30 promotion
3 Pawn 2.0 3248 21.0 / 30 promotion
4 Expositor 2BR17 3161 19.5 / 30
5 Midnight v8 3286 18.5 / 30
6 Svart 5.0.0 3319 17.0 / 30
7 Altair 5.0.0 3208 15.5 / 30
8 Tornado NNUE 3212 15.0 / 30
9 Drofa 4.0.0 3265 14.5 / 30
10 Kuma 1.1 3165 13.0 / 30
11 Roc 2.0.0 3250 13.0 / 30
12 RukChess 3.0.16 3269 12.5 / 30
13. Nirvanachess 2.5 3180 11.5 / 30
14. Invictus r382 3185 8.5 / 30 relegation
15. FabChess 1.16 3072 8.5 / 30 relegation
16. Sting Black Hole 6 3165 8.5 / 30 relegation





A2 Edition 07/2023 – 3’+3” Rating Score note
1 Dragon free 3100 28.5 / 30 promotion
2 LTChess 9.1 3081 23.5 / 30 promotion
3 Peacekeeper 2.00 3127 22.0 / 30 promotion
4 Danasah 9.1 NNUE 3066 19.0 / 30
5. Gargantua 1.0 NNUE 3095 15.5 / 30
6. Polaris 1.8.1 3099 14.0 / 30
7. Beef 0.3.6 3164 14.0 / 30
8. Protej 20230919a 3036 14.0 / 30
9. Mittens 0.9 3170 13.5 / 30
10. Mida 2.2 3006 13.0 / 30
11. Ippolit 051323 3120 13.0 / 30
12. Wahoo 4.0.0 3088 13.0 / 30
13. Amoeba 3.4 3081 11.0 / 30
14. Vengeance 3.0.0 3033 9.0 / 30 relegation
15. Wize 1.0 2974 8.5 / 30 relegation
16. Cheng4 0.41 3070 8.5 / 30 relegation





A3 Edition 07/2023 – 3’+3” Rating Score note
1 GOOB 1.8.9 3061 21.0 / 30 promotion
2 Tomcat 1.0 3001 20.5 / 30 promotion
3 Journeyman 2.1 2999 18.0 / 30 promotion
4 Topple 0.8.1 3046 17.0 / 30
5. Asymptote 0.8 2979 16.0 / 30
6. NiCim 3.4.1 2991 16.0 / 30
7. Leorik 2.5 2822 15.0 / 30
8. Cadie 1.5 2994 14.5 / 30
9. OliThink 5.10.5 2963 14.5 / 30
10. Rodent NNUE 2952 14.0 / 30
11. BBC 1.4 2975 13.5 / 30
12. Godel 7.0 2984 13.5 / 30
13. Zangdar 2.19.03 2941 13.0 / 30
14. Cheese 3.1.1 2993 13.0 / 30 relegation
15. Shallow v5 2895 11.0 / 30 relegation
16. Ice4 v3.1 2930 9.5 / 30 relegation





A4 Edition 07/2023 – 3’+3” Rating Score note
1 Pedantic 0.5.0 3001 23.0 / 30 promotion
2 Inanis 1.2.1 2920 22.0 / 30 promotion
3 Seawall 20231015 2959 21.0 / 30 promotion
4 Ceibo 0.9 2922 19.5 / 30
5. 4ku 3.1 2945 19.0 / 30
6. The Baron 3.45 2972 18.5 / 30
7. Clovis III 2885 18.0 / 30
8. Apotheosis 4.01 2859 17.0 / 30
9. Mess 0.3.0 2855 13.0 / 30
10. Princhess 0.13.0 2912 13.0 / 30
11. Blunder 8.5.5 2795 12.0 / 30
12. ECE 20.1 2793 12.0 / 30
13. Caligula 1.1 2784 11.0 / 30
14. KnightX 3.8 2793 10.0 / 30 relegation
15. MadChess 3.2 beta 2815 9.5 / 30 relegation
16. Mayhem 8.1 2976 1.5 / 30 relegation





A5 Edition 07/2023 – 3’+3” Rating Score note
1 Renegade 0.12.0 2977 26.0 / 30 promotion
2 Delocto 0.61n 2829 22.0 / 30 promotion
3 Colossus 2022a 2787 20.5 / 30 promotion
4 CT800 1.45 2818 19.5 / 30
5. Dumb 1.11 2751 19.0 / 30
6. Odonata 0.7.0 2832 18.0 / 30
7. Supernova 2.4 2789 17.5 / 30
8. Lishex 1.1.1 2788 15.5 / 30
9. Zevra 2.5 2761 15.5 / 30
10. Rengar 1.2.0 2657 11.0 / 30
11. Devel 4.0.2.3 2740 11.0 / 30
12. Luna 2.0.0 2777 10.0 / 30
13. NoC 4.20 2627 9.5 / 30
14. Galjoen 0.41.2 2627 9.0 / 30 relegation
15. Tantabus 2.0.0 2723 8.5 / 30 relegation
16. Bienchen 1.0 2553 7.5 / 30 relegation





A6 Edition 07/2023 – 3’+3” Rating Score note
1 Raven 1.30 2670 23.5 / 30 promotion
2 K2 0.99 2770 23.0 / 30 promotion
3 Catacomb 1 2638 20.0 / 30 promotion
4 Myrddin 0.90 2736 20.0 / 30
5. Novice 3.1 2738 18.5 / 30
6. Paulchen 332 0.1.1 2658 16.0 / 30
7. Cosette 5.1 2610 15.5 / 30
8. Admete 1.5.0 2637 15.5 / 30
9. Loki 3.5.0 2607 14.5 / 30
10. Minimalchess 0.6 2606 14.0 / 30
11. Prophet 4.3 2647 14.0 / 30
12. Shen Yu 2.0.1 2624 13.5 / 30
13. Kimbo 1.0.0 2558 12.5 / 30
14. Barbarossa 0.6.0 2599 8.5 / 30 relegation
15. Horowitz 2.2.0 2511 6.5 / 30 relegation
16. Eubos 2.24 2478 4.5 / 30 relegation





A7 Edition 07/2023 – 3’+3” Rating Score note
1 Ivanhoe 66 2757 26.5 / 30 promotion
2 Queen 4.05 2557 22.5 / 30 promotion
3 Foxsee 8.2 2583 22.0 / 30 promotion
4 Fornax 4.0 2595 21.0 / 30
5. Ares 2.3.14 2484 20.5 / 30
6. Anka 0.6.3 2574 19.5 / 30
7. Popochin 4.3 2510 18.5 / 30
8. Lux 3.5 2551 18.0 / 30
9. Albatros 1.0.0 2328 12.0 / 30
10. Jinx 1.0 2422 11.0 / 30
11. Axon 0.3 2385 11.0 / 30
12. StoneChess 2023-06-23 2345 9.0 / 30
13. KhepriChess 4.0.1 2449 9.0 / 30
14. Baislicka dev ac327fd 2341 8.5 / 30 relegation
15. seeChess 1.2 2362 6.5 / 30 relegation
16. Halcyon 1 2367 4.5 / 30 relegation





A8 Edition 07/2023 – 3’+3” Rating Score note
1 Reckless 0.3.0 2362 28.5 / 30 promotion
2 Lynx 1.0.0 2672 25.5 / 30 promotion
3 Pingu 2.0.0 2609 24.0 / 30 promotion
4 Clarity 2.0.0 2411 21.5 / 30
5. MagiC 2.0 2316 21.0 / 30
6. Fatalii 0.5.0 2292 17.5 / 30
7. Jence 1.0.2 2266 15.0 / 30
8. FrankyGo 1.0.3 2268 14.5 / 30
9. Badchess 0.4.4 2232 14.0 / 30
10. Camel 1.0.1 2205 10.5 / 30
11. Claudia 0.51 2204 10.0 / 30
12. Rustic-alpha 3 2202 9.5 / 30
13. Kelp 0.12.0 2071 9.0 / 30
14. CDrill-2000 2216 9.0 / 30 relegation
15. Tofiks 1.3.0 1908 8.0 / 30 relegation
16. Chers 0.8.0 2036 2.5 / 30 relegation





A9 Edition 07/2023 – 3’+3” Rating Score note
1 Z5 2.1 3320 25.0 / 26 promotion
2 Boychesser 1.0 2400 21.0 / 26 promotion
3 TimeCat 1.0 2400 21.0 / 26 promotion
4 Sirius 5.0 2400 21.0 / 26
5. Cheers 0.3.1 2894 20.0 / 26
6. Lambergar 0.3.1b 2400 15.5 / 26
7. Chessplusplus 1.2.0 2400 14.5 / 26
8. Freda 0.99 2198 11.5 / 26
9. Adachess 4.0 2040 11.0 / 26
10. Alpaca 0.2.5 2400 7.5 / 26
11. Ciorap-Bot 0.2 2400 7.0 / 26
12. Piglet 1.3.3 1651 5.0 / 26 end
13. Schneizel 2.0 (java) 1397 2.0 / 26 end
14. Rusty Rival 1.0.4 2400 0.0 / 26 end


Comments

Post a Comment

Popular posts from this blog

New Strong Engines Test, by Chess Engines Diary, 2024.04.12

-
Image
  💾  552 (!) games from the tournament download   👍 @chessenginesdiary  Country - Poland, City -  Malbork 🕓 Time 3'+3" 💻HP Pavilion i5-1035G1 8GB RAM 🖬 GUI-Banksia All  CEDR  317.321 games download  (01.04.2024 - 3'+3")  HypnoS 030424, Yuli GM Pro 16, Stockfish 16.1 and ShashChess 35 . These four engines scored the same number of points and placed at the top of the table in this strong tournament. Tech table: Engine KN/move NPS dep/mov time/mov mov/game time/game fails Alexandria 6.1.0 3218 576429 30.2 5.6 56.7 316.2 Berserk 13 4779 841025 36.7 5.7 56.0 318.1 Brainlearn 28 2275 366977 31.4 6.2 43.5 269.4 Caissa 1.18 5492 923486 30.2 5.9 50.4 299.7 Clover 6.1.19 4803 854377 31.4 5.6 62.2 349.4 Cool Iris 12.10 2201 356730 27.6 6.2 51.2 315.5 CorChess 20240331 2253 372774 27.4 6.0 52.2 315.8 Crystal 8 3582 571994 20.3 6.3 47.7 298.8 Fire 9.3 5225 876565 22.0 6.0 55.5 331.1 Fisherov chess monk 1.2 3487 619728 36.0 5.6 60.4 340.0 Hyp
Read more

New chess opening book: M11.2 (bin and ctg)

-
Image
  We provide two opening books, in two different formats: bin and ctg. This is enough to be used in almost any chess program (GUI). Of course, every book may contain errors, but this one is based on a high rating. Happy testing! Book - CTG format Customers who wish to use the CTG format book will need a GUI capable of reading this format, ie. Chessbase GUIs.  Please save the book in your book folder. We strongly recommend that you "Optimize" the book in the Book options dialog so the tournament moves are chosen. The book is very wide even in tournament mode unlike most other books. A type of book format mainly used by chess programs from Chessbase , such as Fritz, Chess Base, Komodo, FatFritz, Houdini , etc. Book - BIN format (  Used by chess GUIs Arena, Banksia and Droidfish) Binary books have some important advantages, especially for computer chess engines: space-efficient, fast on accessing and searching, more useful information.  At the most simple form, they are just a
Read more

New version chess engine: Lc0 BT4

-
Image
LcZero - CEDR Rating=3683 vBT4: Big transformer 4. New network architecture which builds off of BT3 by adding two types of auxiliary heads, future heads and categorical value heads. The categorical value heads predict a distribution over values of q rather than a WDL outcome distribution, and the future heads predict the moves that will be played over the next two plies. The hope is that these heads will give additional information to the net to improve training speed. We've also fixed half-precision training, so this model will be larger. BT4 training started in mid-October and is expected to take a few months. It has 15 layers with 1024 embedding size, 32 heads per layer, and 1536 emb size, for roughly a doubling in size over BT3.  Individual statistics:  Lc0 0.30.0 Stockfish 16 5/13 -3 13 Games Booot 7.2 6/10 +2 10 Games Critter 1.6a 8/9 +7 9 Games Dragon 3.2 4/8 +0 8 Games Stockfish 20230729 3.5/8 -1 8 Games ShashChess 33.2 3.5/8 -1 8 Games Fisherov chess monk 1.2 3/
Read more

Dragon NNUE by Komodo Chess - it's free!

-
Image
    Dragon by Komodo Chess Larry Kaufman: We have released Dragon at komodochess.com. Dragon uses NNUE (Neural Network Updated Efficiently) technology, originally developed for the game of shogi. Komodo has a great deal of chess knowledge in its evaluation. Training an NNUE network based on this evaluation was both an advantage and a challenge, requiring experimentation with architectures and data generation of billions of positions. The reinforcement learning phase for Dragon is in its infancy, but is already showing great promise. Dragon is a huge strength improvement over 14.1, the last release, about 197 elo in MCTS mode and 189 elo in standard mode, at CCRL blitz time control on one thread based on direct matches. With four threads, the gains were 156 elo in MCTS and 170 in standard mode. The improvement is due to the embedded neural network providing much more accurate evaluation and also in some sense gaining an extra ply or so of search by “seeing” some tactics that a normal ev
Read more