At the time of THIS game, Boris Baczynskyj was rated 2264 (Master) and I would expect that the Weighted Error Value scores would be lower when annotating with Komodo 14 Human, meaning that the closer to zero the score, the closer the player’s moves match the engine’s.
Analysis with Komodo Human showed Baczynskyj’s Weighted Error Value was 0.73 while Reshevsky’s was a precise 0.26, meaning that Reshevsky’s moves very nearly match those of the engine. Baczynskyj’s Weighted Error Value was 0.76 which is actually quite good.
One would expect the Weighted Error Value to increase when analyzing with Stockfish 16.1 simply because it is a stronger engine and humans would be less likely to select the same moves as the engine.
Using Stockfish 16.1 saw Reshevsky’s WEV to go up just a bit to 0.36, but Baczynskyj’s improved a bit to 0.69. I can’t explain it.
In a short match pitting Stockfish 16.1 against Komodo Human with a time limit of 5 minutes per game, Stockfish won 3-0.
In annotating one of the games (below) using Stockfish, it’s WEV of its own play was nearly perfect which is no surprise. What is interesting is that Komodo Human’s WEV was 0.72 which is pretty close to Reshevsky’s in his game against Baczynskyj.
I am not sure what to make of all this except to sat that Komodo Human is clearly not close to Stockfish 16.1 in strength, but it appears that id does play at the Grand master level, are the moves human-like? I can’t say.
To me this brings up the question, why pay for an engine when a stronger free program is available. Additionally, I do not see any benefit to the different Komodo personalities; they are, I think, sales hype.
[Event "G5"]
[Site "PC"]
[Date "2024.??.??"]
[Round "?"]
[White "Komodo 14 Human"]
[Black "Stockfish 16.1"]
[Result "0-1"]
[ECO "C54"]
[Annotator "Stocjfish 16.1"]
[PlyCount "80"]
[EventDate "2024.??.??"]
{C54: Giuoco Piano: 4 c3 Nf6, main lines with 5 d4 and 5 d3} 1. e4 e5 2. Nf3
Nc6 3. Bc4 Nf6 4. d3 Bc5 5. c3 a6 6. O-O d6 7. b4 Ba7 8. a4 O-O 9. Bg5 {
[%mdl 32]} (9. Nbd2 Ne7 10. h3 c6 11. Re1 Ng6 12. d4 {is equal. Anand,V (2779)
-Topalov,V (2740) Shamkir AZE 2019}) (9. Na3 h6 10. b5 Ne7 11. Be3 Ng6 12. Bxa7
Rxa7 13. a5 {Black is better. Tharushi,T (1581)-Crocker,P (2135) chess.com INT
2023}) 9... h6 10. Bh4 g5 {The position is equal.} 11. Bg3 Kg7 (11... Ne7 12.
Nbd2 Ng6 13. Qc2 (13. d4 Nd7 14. Re1 Qf6 15. h3 exd4 16. cxd4 Bxd4 17. Nxd4
Qxd4 18. Rc1 Nde5 19. Bf1 Be6 20. Rb1 Rab8 {0-1 (20) Dvoirys,S (2595)-Kaidanov,
G (2629) Moscow 2005}) 13... Kg7 14. h3 Nh5 15. Kh2 Nhf4 {Black is better.
Jacimovic,S (1799)-Korban,K Herceg Novi 2008}) 12. Nbd2 Ne7 {[%mdl 32]} 13. d4
Nh5 14. dxe5 Nxg3 15. hxg3 dxe5 16. Nh2 {This is where white starts drifting
into a bad position. 16.Nb3 keeps things nearly equal.} Ng8 17. Qe2 Nf6 18.
Rfd1 Qe7 19. Nb3 Rh8 20. Nf3 a5 21. Nxa5 h5 22. Nxg5 $2 (22. Qd3 Ng4 23. Ra2
$19) 22... h4 $19 23. gxh4 (23. Nxf7 hxg3 24. Nxh8 Bg4 $18) 23... Rxh4 24. Rd3
Bg4 25. Nf3 Rh5 ({Weaker is} 25... Rah8 26. Nxh4 $1 Rxh4 27. Rg3 $16) 26. g3
Rah8 {[%mdl 32]} 27. Re1 Nh7 28. Kf1 Ng5 29. Nh4 Qf6 $1 30. b5 (30. Nb3 Rxh4)
30... Rxh4 31. gxh4 Rxh4 32. Rg3 Rh2 $1 33. b6 (33. f3 Nxf3 {[%eval -32751,44]
[%wdl 0,0,1000] [%emt 0:00:02] Xxf3}) 33... Bxb6 34. f3 Nxf3 $1 35. Qxf3 (35.
Rd1 Rf2+) 35... Rf2+ 36. Kg1 Rxf3+ 37. Kg2 Rxg3+ 38. Kxg3 (38. Kxg3 {[%eval
-32761,245] [%wdl 0,0,1000] [%emt 0:00:00]}) 38... Qf4+ 39. Kg2 Qf2+ 40. Kh1
Bf3# {Weighted Error Value: White=0.72/Black=0.01 (flawless)} 0-1
