LC0 30x384 (3350) + 2x RTX 2080 Ti vs Stockfish Dev 22.04.2020 + 6 cores + Contempt -75 should be a fair play/ratio

[Hai]

Its worth a try. Its good to experiment.

Yes I think the same.
We need even more different -contempt tests.

[Hai]

Why on earth did you limit SF to 3 cores?? As pointed out by everyone, it can only be surmised that negative contempt is implemented very well. The strength difference is massive. As for SF winning TCEC with such settings...you can’t win if you don’t...win.

Why? Because I can .
Contempt -75
+6 =34 -0
Winning percentage = 57.5%
=53 elo difference -> with 3 cores vs 2x RTX 2080 Ti

Negative contempt is great and implemented very well, maybe it's even not perfect now.
1. I think Stockfish would have still hit hard at TCEC with this tactics, sooner or later, no matter what contempt is in use.
2. You can't lose if you don't...lose. And Stockfish would have won later at shorter time control.

[Hai]

Maybe I'm misunderstanding something here, but what you're saying is:

• You have a setup in which SF is clearly weaker than its opponent
• In this setup, negative contempt yields better match results than positive contempt

But this is precisely what lowering contempt is supposed to do in this situation. On the other hand, if you added enough cores to make SF stronger than LC0, then the setting of -75 would actually become detrimental: what helps you when you are weaker, hurts you when you are stronger.

I think SF benefits from low contempt against Leela even if hardware differences cause SF to be stronger.

Low contempt "forces" SF to trade much sooner which in turn will cause the game to be tactical at a much earlier state too.

Maybe that's it.
Stockfish likes tactical positions much more than LC0.
Sooner trade will lead much faster into 2 open lines(not closed positions) which Stockfish also likes and plays much better.

[Hai]

Why on earth did you limit SF to 3 cores?? As pointed out by everyone, it can only be surmised that negative contempt is implemented very well. The strength difference is massive. As for SF winning TCEC with such settings...you can’t win if you don’t...win.

He might only have a quad core or he was proving a point on how decent a weak hardware setup can play against a powerful LCO.

I have a 6 core, you should already know it;)
But everyone can do the same test and for this result:
Contempt -75
+6 =34 -0 approx. +/- 40 Elo
Winning percentage = 57.5%
=53 elo difference -> with 3 cores vs 2x RTX 2080 Ti


you only need to buy:
2x RTX 2080 Ti = 2500$
1x 6 core cpu = 25$

[Hai]

Some notes:
1,40 games are too few to measure Elo.
2,Basically the contempt has effect on the style of an engine and it has smaller effect on Elo.
3,The chess power of Leela strongly depends on the used net and the parameters of Leela together with move time.
4,In general against a dual RTX 2080 Ti even 16 cores is few for Stockfish to get equal challenge.

1. All games together were much more than 40 games. But feel free to run your 30000 games to be happy.
2. Yes I also see +75 elo as a small improvement against LC0. I think that negative contempt shows exactly what needs to be improved in Stockfish Dev default. I would be much more happy, if I would be 53 elo behind Magnus Carlsen instead of 127 elo, even if other people would say my playing style is bad, because they think I'm playing passive and they still don't understand what's going on.
3. Yes I also think LC0 had the clear disadvantage in my test with the 30x384 (3350) net on 2x RTX 2080 Ti with default parameters against 3 core Stockfish with contempt -75.
4. In general this sentence is general but has nothing to do with my test.

[AdminX]

Saw this post last night and decided to try, I don't have a six core system. I have a quad core box with hyperthreading. I used the -75 comtempt with Stockfish 11BMI vs LC0 63426 using 1 RTX2070 Super. I ran a 40 game test which finished this morning. Time control was 4'2 Blitz, Stockfish 11 using 3 Threads, and LC0 with 2 Threads. Hash was set to 8192 (32 GB Total System Memory) for each in the Fritz 17 GUI using Perfect 2019 Opening Book, with 3-6 piece SYZYGY.

Code: Select all

HAKIN94LIFE, Blitz 4.0min+2.0sec  0

                                         
1   Stockfish 11 64 BMI2           +1/=38/-1 50.00%   20.0/40  400.00
2   Lc0 v0.25.1+git.69105b4-Net60  +1/=38/-1 50.00%   20.0/40  400.00

[corres]

Some notes:
1,40 games are too few to measure Elo.
2,Basically the contempt has effect on the style of an engine and it has smaller effect on Elo.
3,The chess power of Leela strongly depends on the used net and the parameters of Leela together with move time.
4,In general against a dual RTX 2080 Ti even 16 cores is few for Stockfish to get equal challenge.

1. All games together were much more than 40 games. But feel free to run your 30000 games to be happy.
2. Yes I also see +75 elo as a small improvement against LC0. I think that negative contempt shows exactly what needs to be improved in Stockfish Dev default. I would be much more happy, if I would be 53 elo behind Magnus Carlsen instead of 127 elo, even if other people would say my playing style is bad, because they think I'm playing passive and they still don't understand what's going on.
3. Yes I also think LC0 had the clear disadvantage in my test with the 30x384 (3350) net on 2x RTX 2080 Ti with default parameters against 3 core Stockfish with contempt -75.
4. In general this sentence is general but has nothing to do with my test.

If you really want to prove your statement you would make a competition among the next participant:
1. Dual RTX 2080 Ti with a decent net,
2.Stockfish on 3 cores with contempt = +25,
3.The same Stockfish on 3 cores with contempt = -25,
3.The same Stockfish on 3 cores with contempt = -75 ,
4.the same Stockfish on 6 cores with contempt = +25,
5,The same Stockfish on 6 cores with contempt= -25,
6,The same Stockfish on 6 cores with contempt= -75.
The number of games played every each participant would be at least 200.

Note
Comparison or especially contraction of Elo yielded in different competition is not a correct thing.

[OliverBr]

Hello together,
I (author of OliThink), I am very impressed about Leela Chess Zero.
It actually follows the path I was trying to do with Oliver. Create a strong chess engine with any chess knowledge whatever (except the rules, of course).
Fortunately I do now have a fine system, a MacBookPro 2018 15inch, with a powerful eGPU, GTX1080Ti. So (in High Sierra), I can use CUDA to get optimal performance from LC0.
Wit this hardware, Leela Chess Zero (0.24.1) completely and utterly owns and humiliates Stockfish 11 in midgame. Is this a surprise? It's difficult so say, because, honestly, the endgame, kind-a is strange. Whatever winning endgame, LC0 sacrifices pieces for nothing, only when 50-moves rule is threatening, it plays fine and wins. It is kind of funny in some way, as it appears like LC0 is torturing the losing side.

A fine example would be this game that was won since move 40:

Code: Select all

[Event "Computer Chess Game"]
[Site "Olivers-MacBook-2.local"]
[Date "2020.05.08"]
[Round "-"]
[White "Lc0 v0.24.1+git.dirty"]
[Black "Stockfish 11 64"]
[Result "1-0"]
[TimeControl "40/180"]
[Annotator "2. +0.29   1... -0.20"]

1. d4 d5 {-0.20/23 4} 2. c4 {+0.29/9 2.6} e6 {-0.06/24 5} 3. Nf3
{+0.28/11 6} Nf6 {-0.07/22 2.0} 4. g3 {+0.29/10 2.9} Be7 {+0.29/23 5} 5.
Bg2 {+0.29/10 2.5} O-O {+0.34/21 1.7} 6. O-O {+0.30/12 3} dxc4
{+0.42/24 0.3} 7. Qc2 {+0.32/12 3} b5 {+0.29/25 4} 8. a4 {+0.45/14 5} b4
{+0.22/26 0.1} 9. Nfd2 {+0.49/18 7} c6 {+0.00/30 0.1} 10. Nxc4
{+0.48/18 1.0} Qxd4 {+0.28/29 1.6} 11. Rd1 {+0.53/18 2.1} Qc5 {+0.00/30 4}
12. Be3 {+0.55/18 0.2} Qh5 {+0.15/23 2.5} 13. Nbd2 {+0.55/16 3} Ng4
{+0.16/24 2.0} 14. Nf3 {+0.43/15 14} Nxe3 {+0.00/31 0.2} 15. Nxe3
{+0.41/13 0.2} a6 {+0.00/28 1.4} 16. Nc4 {+0.75/12 11} Ra7 {+0.31/26 8} 17.
Rac1 {+0.81/14 4} c5 {+0.12/22 2.0} 18. Nfe5 {+0.82/12 1.9} g6
{+0.00/29 17} 19. h4 {+1.03/10 8} Bb7 {+0.00/28 15} 20. Qd3 {+1.08/14 5}
Bxg2 {+0.00/23 2.8} 21. Kxg2 {+1.05/17 0.4} Rc7 {-0.54/33 18} 22. b3
{+1.29/14 6} Qf5 {-0.59/25 2.0} 23. Qe3 {+1.56/13 5} Nc6 {-0.97/27 0.7} 24.
Nxc6 {+1.60/15 4} Rxc6 {-0.97/30 0.1} 25. Rd7 {+1.63/14 2.3} Bf6
{-1.22/32 17} 26. Rcd1 {+1.74/17 1.2} Bc3 {-1.16/25 1.7} 27. Qf3
{+1.77/12 8} Rfc8 {-1.18/31 0.1} 28. Nd6 {+1.75/13 7} Qxf3+ {-1.40/24 4}
29. Kxf3 {+1.76/14 0.2} Ra8 {-1.34/26 2.6} 30. e3 {+1.88/11 8} Rf8
{-1.47/29 7} 31. Nc4 {+1.94/11 6} Rfc8 {-1.49/31 0.2} 32. g4 {+2.00/11 9}
f5 {-1.57/27 12} 33. g5 {+1.98/13 0.9} e5 {-1.54/24 1.4} 34. Nd6
{+1.99/12 2.8} Rf8 {-1.77/26 5} 35. a5 {+2.08/13 4} e4+ {-2.84/27 12} 36.
Kf4 {+2.16/12 0.6} c4 {-3.06/28 6} 37. Nxc4 {+2.28/13 5} Rf7 {-3.30/26 0.2}
38. h5 {+2.44/15 6} gxh5 {-2.92/26 2.8} 39. Rxf7 {+2.52/15 4} Kxf7
{-2.98/24 2.1} 40. Nd6+ {+2.61/15 2.1} Kg6 {-2.95/26 0.3} 41. Nxf5
{+2.73/15 8} Re6 {-3.47/32 9} 42. Nh4+ {+2.84/15 4} Kf7 {-4.22/35 29} 43.
Rd7+ {+3.02/14 0.2} Re7 {-4.33/36 25} 44. Rxe7+ {+3.12/14 0.2} Kxe7
{-4.35/31 2.4} 45. Kxe4 {+3.20/13 10} Be1 {-4.75/35 5} 46. Kf3 {+3.30/13 8}
Bc3 {-5.37/37 23} 47. Ng2 {+3.60/11 46} Be5 {-5.91/37 0.2} 48. Nf4
{+4.27/9 12} Kf8 {-6.16/30 0.2} 49. Nxh5 {+4.94/8 21} Bc7 {-5.71/28 2.8}
50. Nf6 {+4.79/8 11} Bxa5 {-7.03/29 0.2} 51. Nxh7+ {+5.27/9 5} Kf7
{-7.54/29 1.9} 52. Nf6 {+5.76/8 7} Bb6 {-8.66/30 17} 53. Nd5 {+7.21/7 10}
Bd8 {-7.36/26 5} 54. Nxb4 {+11.54/7 4} Bxg5 {-8.81/30 18} 55. Nxa6
{+15.67/6 7} Bd8 {-9.86/28 1.2} 56. Nb4 {+22.78/6 6} Ke6 {-12.11/26 2.6}
57. Na2 {+21.51/6 4} Ke5 {-6.13/25 1.2} 58. Nc3 {+17.64/6 4} Ba5
{-8.58/27 7} 59. Na4 {+15.10/7 3} Kd5 {-9.92/29 4} 60. Nb2 {+16.73/6 2.7}
Bc7 {-10.91/28 4} 61. Nd3 {+19.40/6 2.6} Bd8 {-9.98/27 0.3} 62. Ne1
{+20.52/6 2.2} Bc7 {-11.79/29 3} 63. Nc2 {+20.61/6 1.9} Bd6 {-9.92/25 2.8}
64. Ne1 {+20.68/6 1.7} Bb8 {-11.85/29 0.2} 65. Ng2 {+21.74/6 1.5} Kc5
{-8.89/25 1.0} 66. Nf4 {+22.17/6 1.3} Kb4 {-5.73/21 0.5} 67. Ke4
{+24.19/5 1.1} Kc5 {-13.67/26 6} 68. Nd3+ {+23.80/6 1.0} Kd6
{-13.68/23 0.2} 69. Nc1 {+29.08/5 0.8} Ke6 {-11.70/25 0.9} 70. Ne2
{+30.67/5 0.7} Kd7 {-12.18/26 2.0} 71. Kd3 {+27.15/5 0.6} Bc7
{-11.18/27 2.5} 72. Ke4 {+27.36/5 0.5} Ba5 {-12.66/24 0.1} 73. f4
{+30.48/5 0.5} Ke7 {-12.75/27 1.1} 74. Ng3 {+26.94/5 0.5} Kd6
{-12.58/26 1.1} 75. Nf1 {+23.33/5 0.5} Kc5 {-5.76/17 0.2} 76. Kd3
{+29.02/5 0.5} Bc7 {-6.69/18 0.2} 77. Ke4 {+22.13/5 0.5} Bd8 {-8.06/22 0.5}
78. Nd2 {+33.62/5 0.5} Bf6 {-8.21/19 0.3} 79. Nf3 {+34.00/5 0.5} Bc3
{-9.82/18 0.2} 80. Kd3 {+25.30/5 0.5} Bg7 {-9.43/16 0.1} 81. Ng5
{+26.01/6 21} Kd6 {-12.85/30 10} 82. Nf3 {+23.32/6 18} Bf8 {-25.76/31 30}
83. Ke4 {+27.18/6 16} Ke6 {-47.72/32 17} 84. Nd4+ {+22.65/7 14} Kf7
{-63.75/37 29} 85. Ne2 {+26.77/7 12} Bc5 {-15.39/26 4} 86. Kd3
{+22.35/6 11} Kg6 {-47.97/38 2.2} 87. e4 {+26.45/6 9} Bf2 {-36.48/27 7} 88.
Nc3 {+27.59/6 8} Bc5 {-64.76/37 10} 89. Kc4 {+33.31/6 7} Be3 {-66.94/36 7}
90. Ne2 {+25.68/6 6} Kh5 {-69.76/33 1.7} 91. Kd5 {+28.08/6 6} Kg6
{-71.24/35 2.1} 92. b4 {+31.99/6 5} Kf7 {-64.23/29 5} 93. b5 {+32.91/6 5}
Ke8 {-1000.26/30 7} 94. f5 {+37.74/6 4} Bb6 {-1000.16/35 0.1} 95. e5
{+42.49/6 4} Bd8 {-1000.14/49 1.3} 96. Nf4 {+45.55/6 3} Kf7
{-1000.15/42 1.3} 97. Nh5 {+44.62/6 2.9} Kf8 {-1000.13/34 2.4} 98. Ng3
{+44.37/6 2.6} Kg7 {-1000.15/30 1.3} 99. Nf1 {+48.66/6 2.3} Kh6
{-58.87/23 1.4} 100. Kd6 {+52.05/6 2.0} Kg5 {-147.92/28 6} 101. f6
{+44.77/6 1.8} Ba5 {-1000.14/30 1.4} 102. Ne3 {+55.69/6 1.7} Bb4+
{-1000.14/28 4} 103. Ke6 {+57.44/6 1.5} Bc5 {-1000.14/29 1.4} 104. Nc4
{+61.88/5 1.3} Kf4 {-1000.12/29 1.5} 105. Nd6 {+58.77/5 1.2} Kg4
{-1000.13/34 1.4} 106. Nb7 {+60.70/5 1.1} Ba7 {-1000.13/36 2.2} 107. b6
{+50.44/5 1.0} Bxb6 {-1000.12/28 0.8} 108. Nd6 {+44.83/6 0.8} Be3
{-1000.13/26 1.3} 109. Nc4 {+27.70/5 0.9} Bh6 {-1000.14/28 2.2} 110. Nd6
{+41.89/5 0.7} Kf4 {-1000.16/35 2.0} 111. Nf5 {+16.03/6 0.7} Bf8
{-1000.17/42 0.7} 112. Ne7 {+22.93/6 0.6} Bh6 {-1000.18/40 1.5} 113. Nc6
{+31.52/6 0.8} Kg5 {-1000.19/34 1.2} 114. Nd4 {+20.10/6 0.8} Kg6
{-1000.17/36 0.6} 115. Nc6 {+13.70/6 0.7} Kg5 {-1000.16/35 0.9} 116. f7
{+17.32/6 0.7} Kg6 {-1000.14/42 1.3} 117. Ke7 {+16.08/6 0.6} Be3
{-1000.13/32 1.0} 118. e6 {+39.78/5 0.9} Bc5+ {-1000.12/38 0.7} 119. Kd7
{+15.81/6 0.8} Kf6 {-1000.14/49 1.5} 120. Nd4 {+7.38/7 0.7} Ba3
{-1000.13/50 2.4} 121. Ke8 {+9.20/8 11} Bd6 {-1000.14/44 4} 122. f8=Q+
{+20.35/8 12} Bxf8 {-1000.13/49 4} 123. Kxf8 {+18.03/9 6} Ke5
{-1000.11/59 0.1} 124. Ke7 {+34.22/8 22} Kd5 {-1000.10/53 4} 125. Kf6
{+47.60/7 10} Kd6 {-1000.10/47 4} 126. Nf5+ {+46.88/7 9} Kc6
{-1000.09/50 4} 127. Kf7 {+55.76/7 8} Kc5 {-1000.09/49 4} 128. e7
{+66.30/7 8} Kb4 {-1000.07/58 0.1} 129. Kg8 {+78.42/6 7} Kc3
{-1000.08/48 4} 130. Nh4 {+73.12/6 6} Kd4 {-1000.09/44 4} 131. Kf7
{+70.39/6 6} Kc3 {-1000.08/52 0.1} 132. Nf3 {+77.00/6 5} Kc4
{-1000.08/49 4} 133. Kg6 {+75.95/6 5} Kc5 {-1000.08/47 5} 134. Kf7
{+56.30/6 5} Kd5 {-1000.08/51 4} 135. e8=R {+91.83/6 4} Kc5 {-1000.11/45 4}
136. Rg8 {+83.00/6 4} Kc4 {-1000.12/46 4} 137. Kg7 {+73.16/6 4} Kb4
{-1000.12/48 4} 138. Re8 {+62.09/6 3} Kb3 {-1000.11/49 0.8} 139. Kh8
{+55.16/6 3} Kc4 {-1000.12/49 4} 140. Re1 {+42.46/6 2.9} Kb4
{-1000.12/52 4} 141. Ne5 {+44.28/6 2.6} Kc5 {-1000.13/51 4} 142. Kg8
{+42.33/6 2.4} Kd5 {-1000.12/53 4} 143. Ra1 {+41.26/6 2.3} Kxe5
{-1000.19/43 2.7} 144. Ra2 {+69.56/6 2.1} Ke4 {-1000.21/55 4} 145. Kg7
{+50.07/6 1.9} Kd3 {-1000.17/59 4} 146. Ra5 {+41.53/6 1.8} Kc4
{-1000.14/58 5} 147. Rf5 {+38.61/6 1.8} Kd3 {-1000.15/60 4} 148. Rf8
{+38.09/6 1.8} Kd4 {-1000.15/61 4} 149. Kf7 {+38.42/6 1.8} Kd3
{-1000.14/67 9} 150. Ra8 {+32.86/6 1.8} Kc3 {-1000.14/65 4} 151. Ke8
{+29.87/6 1.8} Kd4 {-1000.15/61 4} 152. Kd8 {+31.04/6 1.8} Ke4
{-1000.15/62 4} 153. Kc7 {+27.75/6 1.8} Kd4 {-1000.14/72 8} 154. Kb6
{+27.82/6 1.8} Ke5 {-1000.14/64 4} 155. Ka5 {+25.54/6 1.8} Ke4
{-1000.15/56 4} 156. Kb4 {+23.93/6 1.8} Ke3 {-1000.13/60 4} 157. Kc3
{+23.99/6 1.8} Kf4 {-1000.12/69 3} 158. Kc2 {+21.95/6 1.8} Ke5
{-1000.13/52 9} 159. Ra1 {+20.43/6 1.8} Kd5 {-1000.13/62 7} 160. Rh1
{+19.60/6 1.8} Ke5 {-1000.14/61 12} 161. Kb3 {+18.04/6 11} Ke4
{-1000.13/64 5} 162. Ka4 {+17.68/6 10} Kf5 {-1000.14/53 5} 163. Ka5
{+16.00/6 9} Ke4 {-1000.14/61 4} 164. Ka6 {+16.45/6 9} Kf3 {-1000.14/62 4}
165. Kb7 {+15.44/6 8} Kg2 {-1000.14/66 4} 166. Rh6 {+14.48/7 8} Kf3
{-1000.14/56 4} 167. Kb8 {+14.37/7 7} Ke4 {-1000.15/54 4} 168. Rh7
{+14.39/6 7} Kf5 {-1000.15/57 4} 169. Re7 {+13.46/6 6} Kf6 {-1000.15/65 4}
170. Re1 {+13.15/7 6} Kf5 {-1000.14/68 0.2} 171. Ka7 {+12.86/6 6} Kf4
{-1000.13/75 4} 172. Re8 {+12.59/6 5} Kg5 {-1000.13/70 4} 173. Rb8
{+12.18/6 5} Kf5 {-1000.14/63 4} 174. Ka6 {+12.96/6 5} Kg5 {-1000.14/59 4}
175. Rb2 {+12.88/6 4} Kf4 {-1000.15/53 4} 176. Kb5 {+12.57/6 4} Ke5
{-1000.13/59 4} 177. Kc4 {+13.03/6 4} Kf6 {-1000.12/65 0.2} 178. Kd5
{+14.74/6 4} Kf5 {-1000.11/72 0.1} 179. Rb1 {+13.55/6 3} Kf4
{-1000.11/62 4} 180. Kd4 {+10.13/7 3} Kf5 {-1000.11/62 4} 181. Re1
{+7.10/7 2.7} Kg4 {-1000.10/67 1.1} 182. Rf1 {+8.14/7 3} Kg5
{-1000.09/71 0.7} 183. Ke4 {+6.95/7 2.7} Kg6 {-1000.08/70 1.8} 184. Ke5
{+7.15/8 2.8} Kg7 {-1000.07/74 1.6} 185. Kf5 {+14.45/7 2.6} Kf7
{-1000.06/74 4} 186. Re1 {+128.00/4 2.0} Kg7 {-1000.05/107 2.2} 187. Re7+
{+128.00/3 4} Kf8 {-1000.04/245 0.1} 188. Kf6 {+128.00/4 2.5} Kg8
{-1000.03/245 0.1} 189. Re4 {+128.00/4 3} Kf8 {-1000.02/245 0.1} 190. Rd4
{+128.00/4 2.8} Kg8 {-1000.02/245 0.1} 191. Rh4 {+128.00/3 2.8} Kf8
{-1000.01/245 0.1} 192. Rh8# {+128.00/2 1.2}
{Xboard adjudication: Checkmate} 1-0

[Hai]

Saw this post last night and decided to try, I don't have a six core system. I have a quad core box with hyperthreading. I used the -75 comtempt with Stockfish 11BMI vs LC0 63426 using 1 RTX2070 Super. I ran a 40 game test which finished this morning. Time control was 4'2 Blitz, Stockfish 11 using 3 Threads, and LC0 with 2 Threads. Hash was set to 8192 (32 GB Total System Memory) for each in the Fritz 17 GUI using Perfect 2019 Opening Book, with 3-6 piece SYZYGY.

Code: Select all

HAKIN94LIFE, Blitz 4.0min+2.0sec  0

                                         
1   Stockfish 11 64 BMI2           +1/=38/-1 50.00%   20.0/40  400.00
2   Lc0 v0.25.1+git.69105b4-Net60  +1/=38/-1 50.00%   20.0/40  400.00

Very good results

[corres]

Saw this post last night and decided to try, I don't have a six core system. I have a quad core box with hyperthreading. I used the -75 comtempt with Stockfish 11BMI vs LC0 63426 using 1 RTX2070 Super. I ran a 40 game test which finished this morning. Time control was 4'2 Blitz, Stockfish 11 using 3 Threads, and LC0 with 2 Threads. Hash was set to 8192 (32 GB Total System Memory) for each in the Fritz 17 GUI using Perfect 2019 Opening Book, with 3-6 piece SYZYGY.

Code: Select all

HAKIN94LIFE, Blitz 4.0min+2.0sec  0                                         
1   Stockfish 11 64 BMI2           +1/=38/-1 50.00%   20.0/40  400.00
2   Lc0 v0.25.1+git.69105b4-Net60  +1/=38/-1 50.00%   20.0/40  400.00

Very good results

What do you think about the result of a match on your machine between RTX 2070 Super used Leela ver.0.25.1 with 63426net and Stockfish 11 with default (+24) contempt?