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M a c  C h e s s  E n g i n e s  R a t i n g  L i s t

2023-03-25

Playing conditions:

MCERL_2022-10-15.png
#
PLAYER
RATING
POINTS
PLAYED
(%)
13
Revenge 3.0 (Wine)
3567
713.5
1422
50.2%
14
Seer 2.6.0
3543
723.0
1479
48.9%
15
SlowChess Blitz 2.9 (Wine)
3512
483.5
798
60.6%
16
Uralochka v3.39c (Wine)
3506
562.5
930
60.5%
17
Stockfish 11
3495
432.0
776
55.7%
18
Fire 8.NN.MC.3
3477
589.5
1119
52.7%
19
RubiChess 2022
3475
306.5
626
49.0%
20
Koivisto 8.0
3467
518.5
785
66.1%
21
Minic 3.30 (Wine)
3466
491.0
957
51.3%
22
Fairy-Stockfish 14 (no nnue)
3464
504.0
796
63.3%
23
Caissa 1.7 (Wine)
3439
499.0
804
62.1%
24
Wasp 6.50
3432
567.5
1018
55.7%

Ordo by Miguel A. Ballicora.

Calculation fixed to: HIARCS 15.0 = 3350 Elo

Speed: Stockfish 15.1, 670 kn/s when 7 games are running simultaneously

Darius's comment
 

The latest edition of MCERL's March 25, 2023 ranking list is one of the most interesting in its history.

 

Many more engines have been added to our list, e.g. FabChess, Seawall, Xiphos, Laser, as well as established ones such as Wasp and Demolito.

I am very happy that the developers are not idle and also in this release we will find numerous updated engines, such as Weiss, Pawn or Arasan in the development version, which is more than 100 Elo stronger than its predecessor!

 

Due to the update of Wine software, which allows the use of engines designed for Windows on the Mac, I decided to include such strong players as SlowChess Blitz 2.9, Caissa 1.7, Fritz 17 and several others. 

 

A pleasant surprise for fans of the Komodo engine came from its developers. Komodo 14.1 has been made available for free, which is quite a treat, since this engine offers extensive use (e.g., searching using the MCTS algorithm) and even today - not bad power.

 

And at the very end Stockfish, an engine that is "flying higher and higher" being already stronger by 92 Elo than the second on the list Dragon 3.2 by Komodo Chess. In terms of pure strength, Stockfish is likely to be uncatchable by other engines - so long - until the next breakthrough on the scale of neural networks. Yet, strength is not the only value of chess engines worth considering. Because if it were, we wouldn't have other engines so rich in different capabilities.

And lastly...

 

I invite you to watch the beautiful chess games from MCERL competition :)

 

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