15,0000 game Komodo 11.01 test results

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shrapnel
Posts: 1340
Joined: Fri Nov 02, 2012 8:43 am
Location: New Delhi, India

Re: 15,0000 game Komodo 11.01 test results

Post by shrapnel » Fri May 26, 2017 12:07 pm

Hers is another game where Komodo seems to lose the advantage mid-way, but thanks to superior Time Management manages to win after all....
[Event "Blitz 5' + 0'', Rated"]
[Site ""]
[Date "2017.5.26"]
[Round ""]
[White "shrapnel"]
[Black "ludimilojko"]
[Result "1-0"]
[ECO "C50"]
[WhiteElo "2507"]
[BlackElo "2321"]
[WhiteEngine "komodo-11.01-64bit_CTG"]
[BlackEngine "asmFishW_2017-04-09CSE_base_CTG"]
[EventType ""]
[WhiteTeam ""]
[BlackTeam ""]
[PlyCount "187"]
[TimeControl "300"]

[pgn]1.e4 { [%eval 0.05/1][%emt 0]} e5 { [%eval -0,05/1][%emt 13]} 2.Nf3 { [%eval 0.05/1][%emt 0]} Nc6 { [%eval -0,05/1][%emt 0]} 3.Bc4 { [%eval 0.05/1][%emt 0]} Bc5 { [%eval -0,05/1][%emt 0]} 4.O-O { [%eval 0.05/1][%emt 0]} d6 { [%eval -0,05/1][%emt 1]} 5.c3 { [%eval 0.05/1][%emt 0]} Bb6 { [%eval -0,05/1][%emt 1]} 6.d3 { [%eval 0.05/1][%emt 0]} Nf6 { [%eval -0,05/1][%emt 1]} 7.Bg5 { [%eval 0.05/1][%emt 0]} h6 { [%eval -0,05/1][%emt 1]} 8.Bh4 { [%eval 0.05/1][%emt 0]} g5 { [%eval -0,05/1][%emt 0]} 9.Bg3 { ( a6 ) [%eval 0.05/1][%emt 0]} Ne7 { [%eval -0,05/1][%emt 1]} 10.Nbd2 { [%eval 0.05/1][%emt 0]} Ng6 { [%eval -0,05/1][%emt 1]} 11.a4 { [%eval 0.05/1][%emt 0]} c6 { [%eval -0,05/1][%emt 1]} 12.d4 { [%eval 0.05/1][%emt 0]} Qe7 { [%eval -0,05/1][%emt 0]} 13.a5 { ( Nd7 ) [%eval 0.05/1][%emt 0]} Bc7 { [%eval -0,05/1][%emt 0]} 14.Bb3 { [%eval 0.05/1][%emt 0]} O-O { [%eval -0,05/1][%emt 0]} 15.h3 { [%eval 0.05/1][%emt 0]} Nf4 { [%eval -0,05/1][%emt 0]} 16.Re1 { [%eval 0.05/1][%emt 0]} Re8 { [%eval -0,05/1][%emt 0]} 17.Bc2 { [%eval 0.05/1][%emt 0]} Be6 { [%eval -0,05/1][%emt 0]} 18.Nf1 { [%eval 0.05/1][%emt 0]} b5 { [%eval -0,05/1][%emt 0]} 19.axb6 { [%eval 0.43/26][%emt 6]} axb6 { [%eval -0,05/1][%emt 1]} 20.Rxa8 { [%eval 0.46/26][%emt 3]} Rxa8 { [%eval -0,05/1][%emt 0]} 21.Ne3 { [%eval 0.44/28][%emt 11]} Qf8 { [%eval -0,05/1][%emt 0]} 22.c4 { [%eval 0.50/26][%emt 9]} b5 { [%eval 0.00/15][%emt 17]} 23.cxb5 { ( b5 ) [%eval 0.55/30][%emt 0]} cxb5 { [%eval 0.00/18][%emt 12]} 24.Nd5 { ( cxb5 ) [%eval 0.39/30][%emt 0]} Bxd5 { [%eval 0,34/18][%emt 26]} 25.exd5 { [%eval 0.61/28][%emt 7]} Re8 { [%eval 0,38/19][%emt 2]} 26.h4 { [%eval 0.52/28][%emt 8]} g4 { [%eval 0,52/18][%emt 2]} 27.Nh2 { [%eval 0.51/30][%emt 8]} h5 { [%eval 0,49/18][%emt 4]} 28.Qd2 { ( h5 ) [%eval 0.69/28][%emt 0]} N6xd5 { [%eval 0,37/19][%emt 10]} 29.Bb3 { ( N6xd5 ) [%eval 0.57/30][%emt 0]} Nf6 { [%eval 0,58/18][%emt 17]} 30.dxe5 { [%eval 0.64/27][%emt 5]} dxe5 { [%eval 0,85/18][%emt 12]} 31.Qc2 { ( dxe5 ) [%eval 0.72/32][%emt 0]} Ba5 { [%eval 0,93/20][%emt 20]} 32.Ra1 { ( Ba5 ) [%eval 0.62/33][%emt 0]} Bd8 { [%eval 0,67/14][%emt 2]} 33.Nf1 { [%eval 0.72/30][%emt 2]} Qe7 { [%eval 0,52/19][%emt 24]} 34.Bxf4 { [%eval 0.76/29][%emt 3]} exf4 { [%eval 0,83/22][%emt 1]} 35.Qg6+ { [%eval 0.85/29][%emt 4]} Kf8 { [%eval 0,94/20][%emt 3]} 36.Qh6+ { [%eval 0.87/30][%emt 2]} Kg8 { [%eval 0,79/19][%emt 1]} 37.Qxf4 { [%eval 0.68/31][%emt 8]} Qe5 { [%eval 1,01/21][%emt 1]} 38.Qg5+ { [%eval 0.86/32][%emt 6]} Qxg5 { [%eval 0,61/19][%emt 5]} 39.hxg5 { ( Qxg5 ) [%eval 0.64/33][%emt 0]} Nd7 { [%eval 0,45/15][%emt 2]} 40.g6 { [%eval 0.60/32][%emt 6]} Ne5 { [%eval 0,73/21][%emt 1]} 41.Ra7 { [%eval 0.60/34][%emt 8]} Kf8 { [%eval 0,64/22][%emt 0]} 42.gxf7 { [%eval 0.70/32][%emt 5]} Re7 { [%eval 0,51/21][%emt 1]} 43.Ra8 { [%eval 0.70/32][%emt 9]} Rd7 { [%eval 0,66/19][%emt 1]} 44.Rb8 { [%eval 0.75/34][%emt 11]} Nc6 { [%eval 0,49/19][%emt 1]} 45.Rxb5 { [%eval 0.78/34][%emt 5]} Nd4 { [%eval 0,47/16][%emt 3]} 46.Rd5 { [%eval 0.66/31][%emt 0]} Ne2+ { [%eval 0,44/12][%emt 2]} 47.Kh1 { [%eval 0.68/32][%emt 0]} Rxd5 { [%eval 0,66/24][%emt 6]} 48.Bxd5 { ( Rxd5 ) [%eval 0.68/36][%emt 0]} Nf4 { [%eval 0,67/23][%emt 4]} 49.Bc4 { [%eval 0.83/33][%emt 4]} Bb6 { [%eval 0,58/25][%emt 1]} 50.Ne3 { [%eval 0.88/35][%emt 7]} Ng6 { [%eval 0,62/21][%emt 4]} 51.Kh2 { [%eval 0.77/31][%emt 0]} Ne5 { [%eval 0,62/19][%emt 5]} 52.Ba2 { [%eval 0.75/35][%emt 12]} Bc5 { [%eval 0,48/22][%emt 7]} 53.Kg3 { ( Bc5 ) [%eval 0.59/37][%emt 0]} Ng6 { [%eval 0,34/18][%emt 1]} 54.Nf5 { [%eval 0.55/36][%emt 5]} Ba7 { [%eval 0,64/23][%emt 8]} 55.f3 { [%eval 0.65/33][%emt 3]} Bb8+ { [%eval 0,64/24][%emt 1]} 56.Kf2 { [%eval 0.49/33][%emt 1]} Ba7+ { [%eval 0,70/23][%emt 3]} 57.Ke2 { [%eval 0.49/34][%emt 0]} Nf4+ { [%eval 0,70/23][%emt 2]} 58.Kf1 { [%eval 0.47/34][%emt 0]} gxf3 { [%eval 0,66/22][%emt 1]} 59.gxf3 { [%eval 0.49/37][%emt 2]} Bc5 { [%eval 0,67/23][%emt 1]} 60.Ng3 { [%eval 0.78/31][%emt 3]} h4 { [%eval 0,32/17][%emt 2]} 61.Ne4 { [%eval 0.63/32][%emt 1]} Be7 { [%eval 0,62/18][%emt 1]} 62.Bc4 { [%eval 0.50/30][%emt 1]} Kg7 { [%eval 0,39/20][%emt 0]} 63.Kg1 { [%eval 0.32/32][%emt 8]} Ng6 { [%eval 0,48/24][%emt 3]} 64.Kf2 { [%eval 0.18/32][%emt 4]} Ne5 { [%eval 0,55/23][%emt 1]} 65.Bf1 { [%eval 0.27/31][%emt 4]} Kxf7 { [%eval 0,38/21][%emt 3]} 66.f4 { [%eval 0.15/36][%emt 1]} Ng4+ { [%eval 0,39/20][%emt 0]} 67.Ke2 { [%eval 0.11/35][%emt 2]} Nf6 { [%eval 0,33/22][%emt 0]} 68.Ng5+ { [%eval 0.08/34][%emt 3]} Ke8 { [%eval 0,41/23][%emt 1]} 69.Kf3 { [%eval 0.04/35][%emt 6]} Bd6 { [%eval 0,48/24][%emt 4]} 70.Ne6 { [%eval 0.10/31][%emt 2]} Kd7 { [%eval 0,50/26][%emt 1]} 71.Nd4 { [%eval 0.00/35][%emt 3]} Nd5 { [%eval 0,52/24][%emt 3]} 72.Bh3+ { [%eval 0.00/42][%emt 0]} Ke8 { [%eval 0,52/24][%emt 1]} 73.Ne2 { [%eval 0.00/35][%emt 3]} Ke7 { [%eval 0,48/25][%emt 1]} 74.Ke4 { [%eval 0.00/42][%emt 3]} Nf6+ { [%eval 0,42/26][%emt 1]} 75.Kf3 { ( Nf6+ ) [%eval 0.00/45][%emt 2]} Nd5 { [%eval 0,33/22][%emt 3]} 76.Ke4 { [%eval 0.00/49][%emt 3]} Nf6+ { [%eval 0,35/22][%emt 3]} 77.Kf5 { [%eval 0.00/42][%emt 0]} Nd5 { [%eval 0,38/25][%emt 2]} 78.b3 { [%eval 0.00/44][%emt 0]} Kf7 { [%eval 0,37/22][%emt 2]} 79.Kg5 { [%eval 0.00/45][%emt 5]} Be7+ { [%eval 0,29/18][%emt 2]} 80.Kh5 { [%eval 0.00/41][%emt 0]} Nf6+ { [%eval 0,29/21][%emt 3]} 81.Kxh4 { [%eval 0.00/38][%emt 1]} Ne4+ { [%eval 0,22/19][%emt 2]} 82.Kg4 { [%eval 0.00/44][%emt 0]} Nf2+ { [%eval 0,18/18][%emt 3]} 83.Kg3 { [%eval 0.00/48][%emt 0]} Ne4+ { [%eval 0,19/19][%emt 2]} 84.Kh2 { [%eval 0.00/46][%emt 1]} Kf6 { [%eval 0,18/17][%emt 2]} 85.Kg2 { [%eval 0.00/48][%emt 0]} Bd6 { [%eval 0,14/17][%emt 2]} 86.Kf3 { [%eval 0.00/53][%emt 3]} Nd2+ { [%eval 0,10/17][%emt 2]} 87.Kg4 { [%eval 0.00/56][%emt 0]} Bb4 { [%eval 0,12/15][%emt 2]} 88.Bg2 { ( Bxf4 ) [%eval 0.00/47][%emt 2]} Nxb3 { [%eval 0,14/18][%emt 2]} 89.Ng3 { [%eval 0.00/49][%emt 0]} Nc5 { [%eval 0,15/16][%emt 2]} 90.Bd5 { [%eval 0.00/49][%emt 2]} Be1 { [%eval 0,13/20][%emt 3]} 91.Nh5+ { [%eval 0.00/50][%emt 2]} Ke7 { [%eval 0,13/27][%emt 1]} 92.f5 { [%eval 0.00/49][%emt 0]} Nd7 { [%eval 0,08/12][%emt 2]} 93.Nf4 { [%eval 0.00/56][%emt 1]} Kd6 { [%eval 0,08/4][%emt 1]} 94.Be6 {Time [%eval 0.00/57][%emt 3]} 1-0{[/pgn]
i7 5960X @ 4.1 Ghz, 64 GB G.Skill RipJaws RAM, Twin Asus ROG Strix OC 11 GB Geforce 2080 Tis

mjlef
Posts: 1467
Joined: Thu Mar 30, 2006 12:08 pm
Contact:

Re: 15,0000 game Komodo 11.01 test results

Post by mjlef » Fri May 26, 2017 3:49 pm

PaulieD wrote:
mjlef wrote:
yanquis1972 wrote:the +10elo over K10.4 seems applicable based on IPON & larry/mark's estimates, the rest...not so much. not sure why that is though, any ideas?
We quote results for times like 2 mins + 1 sec, now 20 seconds. The super fast time control is know to hurt Komodo more, but this does seem very strange. Perhaps some setting? I see hyperthreading was on, so the 20 second level is more like 10 or 11 second games on a non-hyperthreading core.

Mark
This time control is not 20 seconds. It is the mid level time control used on the Stockfish Testing Framework. 10 + .1 is STC, 20 + .2 is MTC, and 60 + .6 is LTC.
All engine settings were at default.
Using the additional time increment .2 lengthens the games to about 66 seconds each.
That is not a "super fast" time control on todays hardware.
I do not think anyone would call a game in 60 seconds with 0.6 seconds increment a "Long Time Control". It is faster than Blitz and is actually a very fast Bullet. Super fast time controls like that exaggerate rating differences between programs. Komodo also scales well with time, so what happens in bullet chess is not going to get you the results when playing much longer games.

if you are going to continue testing at such a fast level, you should look at Move Overhead (in Stockfish) or Overhead ms (in Komodo). You will want to reduce them since otherwise, the programs will save time since these are set different in the programs. We set ours to a level to minimize time losses for longer time controls. For fat play, you will want to reduce this otherwise it converts a game in 20 seconds + inc to a much shorter time control.

PaulieD
Posts: 205
Joined: Tue Jun 25, 2013 6:19 pm

Re: 15,0000 game Komodo 11.01 test results

Post by PaulieD » Fri May 26, 2017 6:46 pm

mjlef wrote: I do not think anyone would call a game in 60 seconds with 0.6 seconds increment a "Long Time Control". You will want to reduce them since otherwise, the programs will save time since these are set different in the programs. We set ours to a level to minimize time losses for longer time controls. For fat play, you will want to reduce this otherwise it converts a game in 20 seconds + inc to a much shorter time control.
Stockfish Testing Framework considers that LTC for their testing purposes.
I will only use stock default settings as the author distributes them, as testing should be.
Experimenting with various settings is grasping at straws and very subjective.
If other settings were better all around, shame on those authors for not finding them themselves. If an engine is "designed" for longer time controls than of course it will suffer at shorter time controls.
I am running some 4+2 matches for comparison and scaling. The latest SF Dev vs K11.1 since it's only fair to test the latest release of each one...not against old ones.

shrapnel
Posts: 1340
Joined: Fri Nov 02, 2012 8:43 am
Location: New Delhi, India

Re: 15,0000 game Komodo 11.01 test results

Post by shrapnel » Sat May 27, 2017 4:33 am

PaulieD wrote:I will only use stock default settings as the author distributes them, as testing should be.
Hi Paul
What you say is perfectly correct, theoretically.
It is correct with regard to Stockfish, which in any case has hardly any User-Modifiable Parameters. Any changes to defaults of the few remaining Parameters only makes Stockfish weak, as I have observed after thousands of online engine-engine Matches.
But, you are practically incorrect with regards to Komodo which has many modifiable Parameters, changes to which DOES make a difference in the playing style and strength of Komodo ( even though Mr Kaufmann says that ELO does not change).
Good or bad, even the Authors are not sure about the best Settings for Komodo.
For example, if you go through the Readme for Komodo, in the case of the Reduction Parameter, the Authors freely admit that they are not sure of the best Settings for LTC games and the Users are free to experiment ( which I have done, with positive results).
So, a practical solution should be found for this problem rather than being dogmatic and inflexible.
i7 5960X @ 4.1 Ghz, 64 GB G.Skill RipJaws RAM, Twin Asus ROG Strix OC 11 GB Geforce 2080 Tis

jhellis3
Posts: 487
Joined: Fri Aug 16, 2013 10:36 pm

Re: 15,0000 game Komodo 11.01 test results

Post by jhellis3 » Sat May 27, 2017 4:41 am

So, a practical solution should be found for this problem rather than being dogmatic and inflexible.
Sounds like a job for the authors of the software being provided..... :roll: .

shrapnel
Posts: 1340
Joined: Fri Nov 02, 2012 8:43 am
Location: New Delhi, India

Re: 15,0000 game Komodo 11.01 test results

Post by shrapnel » Sat May 27, 2017 5:49 am

jhellis3 wrote:Sounds like a job for the authors of the software being provided..... :roll: .
Again impractical.
As far as I am aware, there is only one person in the Komodo team, who is really responsible for the development of the Engine.
To expect that one person to do everything so as to meet the exacting requirements of the Testers is a bit much.
There are thousands of people involved in Stockfish development.
Besides, Komodo would be no different from the boring Stockfish, if the Authors decided to hide all the Parameters from the Users, which they could very easily do.
Half the fun in computer chess, at least for me ( and I think for many others) is fiddling around with the Parameters in the hope of improving the Engine performance, in the particular type of games they play.
i7 5960X @ 4.1 Ghz, 64 GB G.Skill RipJaws RAM, Twin Asus ROG Strix OC 11 GB Geforce 2080 Tis

Lyudmil Tsvetkov
Posts: 6052
Joined: Tue Jun 12, 2012 10:41 am

Re: 15,0000 game Komodo 11.01 test results

Post by Lyudmil Tsvetkov » Sat May 27, 2017 6:52 am

shrapnel wrote:Half the fun in computer chess, at least for me ( and I think for many others) is fiddling around with the Parameters in the hope of improving the Engine performance, in the particular type of games they play.
it is like fishing for a shark in a pond: the shark is not there, but you never know...

mjlef
Posts: 1467
Joined: Thu Mar 30, 2006 12:08 pm
Contact:

Re: 15,0000 game Komodo 11.01 test results

Post by mjlef » Sat May 27, 2017 2:56 pm

shrapnel wrote:
PaulieD wrote:I will only use stock default settings as the author distributes them, as testing should be.
Hi Paul
What you say is perfectly correct, theoretically.
It is correct with regard to Stockfish, which in any case has hardly any User-Modifiable Parameters. Any changes to defaults of the few remaining Parameters only makes Stockfish weak, as I have observed after thousands of online engine-engine Matches.
But, you are practically incorrect with regards to Komodo which has many modifiable Parameters, changes to which DOES make a difference in the playing style and strength of Komodo ( even though Mr Kaufmann says that ELO does not change).
Good or bad, even the Authors are not sure about the best Settings for Komodo.
For example, if you go through the Readme for Komodo, in the case of the Reduction Parameter, the Authors freely admit that they are not sure of the best Settings for LTC games and the Users are free to experiment ( which I have done, with positive results).
So, a practical solution should be found for this problem rather than being dogmatic and inflexible.
We do not know the best settings for Komodo, but we try to select settings that have tested better. Changing the settings will definitely change playing strength, some more than others. I do not recall Larry ever saying elo does not change when settings are changed. Some settings like Selectivity do not change elo by much as long as reasonable settings are used. Others like Reduction can change elo quite a lot.

We welcome reports from Komodo users when they find something that works better than default. If we can confirm their findings they make there way into Komodo, and everyone benefits.

PaulieD
Posts: 205
Joined: Tue Jun 25, 2013 6:19 pm

Re: 15,0000 game Komodo 11.01 test results

Post by PaulieD » Sat May 27, 2017 9:16 pm

mjlef wrote: We do not know the best settings for Komodo

shrapnel
Posts: 1340
Joined: Fri Nov 02, 2012 8:43 am
Location: New Delhi, India

Re: 15,0000 game Komodo 11.01 test results

Post by shrapnel » Mon May 29, 2017 2:37 pm

The next two games were played using my Ryzen System, which really seems to like HT On.
In both I was using a non-zero Contempt, apart from minor changes to Reduction, Dynamism, King Safety and Selectivity....
[Event "Blitz 4' + 2'', Rated"]
[Site ""]
[Date "2017.5.29"]
[Round ""]
[White "shrapnel"]
[Black "ocirema"]
[Result "1-0"]
[ECO "C67"]
[WhiteElo "2467"]
[BlackElo "2526"]
[WhiteEngine "komodo-11.01-64bit_CTG"]
[BlackEngine "asmFishW_2017-05-26_popcnt"]
[EventType ""]
[WhiteTeam ""]
[BlackTeam ""]
[PlyCount "169"]
[TimeControl "240+2"]

[pgn]1.e4 { [%eval 0.05/1][%emt 0]} e5 {[%emt 0]} 2.Nf3 { [%eval 0.05/1][%emt 0]} Nc6 { [%eval 0,50/16][%emt 0]} 3.Bb5 { [%eval 0.05/1][%emt 0]} Nf6 { [%eval 0,14/18][%emt 0]} 4.O-O { [%eval 0.05/1][%emt 1]} Nxe4 { [%eval 0,13/18][%emt 0]} 5.d4 { [%eval 0.05/1][%emt 0]} Nd6 { [%eval 0,16/21][%emt 0]} 6.Bxc6 { [%eval 0.05/1][%emt 0]} dxc6 { [%eval 0,24/20][%emt 0]} 7.dxe5 { [%eval 0.05/1][%emt 0]} Nf5 { [%eval 0,15/22][%emt 0]} 8.Qxd8+ { [%eval 0.05/1][%emt 0]} Kxd8 { [%eval 0,22/20][%emt 0]} 9.Rd1+ { [%eval 0.05/1][%emt 0]} Ke8 { [%eval 0,29/19][%emt 0]} 10.Nc3 { [%eval 0.05/1][%emt 0]} Be7 { [%eval 0,25/20][%emt 0]} 11.b3 { [%eval 0.05/1][%emt 0]} Be6 { [%eval 0,17/18][%emt 0]} 12.Bb2 { [%eval 0.05/1][%emt 0]} Rd8 { [%eval 0,16/18][%emt 0]} 13.g3 { [%eval 0.05/1][%emt 0]} c5 { [%eval 0,08/18][%emt 0]} 14.Rxd8+ { ( g5 ) [%eval 0.05/1][%emt 0]} Kxd8 { [%eval 0,15/20][%emt 0]} 15.Rd1+ { [%eval 0.05/1][%emt 0]} Kc8 { [%eval 0,14/22][%emt 0]} 16.Nd5 { [%eval 0.05/1][%emt 0]} Rd8 { [%eval 0,02/20][%emt 0]} 17.c4 { [%eval 0.05/1][%emt 0]} Bxd5 { [%eval 0,01/21][%emt 0]} 18.Rxd5 { [%eval 0.16/26][%emt 3]} Rxd5 { [%eval 0,08/30][%emt 0]} 19.cxd5 { [%eval 0.23/25][%emt 3]} f6 { [%eval 0,19/27][%emt 0]} 20.Kg2 { [%eval 0.22/26][%emt 5]} fxe5 { [%eval 0,22/30][%emt 0]} 21.Nxe5 { [%eval 0.18/25][%emt 5]} Bf6 { [%eval 0,26/27][%emt 0]} 22.Kf3 { [%eval 0.21/27][%emt 9]} g6 { [%eval 0,26/33][%emt 1]} 23.Kf4 { [%eval 0.13/28][%emt 15]} b6 { [%eval 0,08/30][%emt 0]} 24.h4 { [%eval 0.14/28][%emt 15]} Ne7 { [%eval 0,41/30][%emt 0]} 25.Ke4 { [%eval 0.09/27][%emt 6]} Nf5 { [%eval 0,41/29][%emt 0]} 26.Kd3 { [%eval 0.09/30][%emt 16]} Bxe5 { [%eval 0,22/39][%emt 2:32]} 27.Bxe5 { [%eval 0.12/26][%emt 3]} Kd7 { [%eval 0,08/37][%emt 27]} 28.Ke4 { [%eval 0.14/28][%emt 9]} Nd6+ { [%eval 0,09/32][%emt 0]} 29.Kf4 { [%eval 0.07/29][%emt 10]} b5 { [%eval 0,08/34][%emt 24]} 30.Bb2 { ( b5 ) [%eval 0.07/31][%emt 0]} a5 { [%eval 0,25/35][%emt 51]} 31.Kg5 { [%eval 0.47/27][%emt 4]} Nf5 { [%eval 1/38][%emt 17]} 32.Bc3 { ( Nf5 ) [%eval 0.24/31][%emt 0]} b4 { [%eval 0.00/28][%emt 11]} 33.Be5 { [%eval 0.18/28][%emt 14]} c6 { [%eval 0,40/32][%emt 0]} 34.dxc6+ { [%eval 0.06/28][%emt 5]} Kxc6 { [%eval 0,53/32][%emt 8]} 35.Bb2 { [%eval 0.75/30][%emt 5]} a4 { [%eval 0,81/28][%emt 6]} 36.g4 { ( a4 ) [%eval 0.93/29][%emt 0]} Nd4 { [%eval 1/27][%emt 0]} 37.bxa4 { [%eval 0.40/28][%emt 3]} Ne2 { [%eval 1/31][%emt 0]} 38.f4 { [%eval 0.32/31][%emt 8]} c4 { [%eval 1/31][%emt 9]} 39.Bg7 { ( c4 ) [%eval 0.35/29][%emt 0]} c3 { [%eval 1/30][%emt 0]} 40.f5 { [%eval 0.32/29][%emt 4]} gxf5 { [%eval 1/33][%emt 0]} 41.gxf5 { [%eval 0.33/28][%emt 3]} Kd5 { [%eval 1,07/32][%emt 4]} 42.a5 { [%eval 2.95/27][%emt 4]} Nd4 { [%eval 1,58/28][%emt 1]} 43.Kf6 { [%eval 3.81/30][%emt 3]} Kc5 { [%eval 2,35/29][%emt 3]} 44.Bh6 { [%eval 4.70/31][%emt 3]} Kb5 { [%eval 4,06/24][%emt 6]} 45.Be3 { [%eval 5.87/32][%emt 2]} Nc2 { [%eval 4,82/26][%emt 2]} 46.Bc1 { [%eval 7.26/33][%emt 7]} Nd4 { [%eval 7,03/24][%emt 4]} 47.Kg5 { [%eval 8.91/27][%emt 0]} Nf3+ { [%eval 7,02/24][%emt 3]} 48.Kh5 { [%eval 17.36/30][%emt 15]} Ne5 { [%eval 9,27/29][%emt 0]} 49.Kh6 { [%eval 20.46/27][%emt 2]} c2 { [%eval 11,03/25][%emt 1]} 50.f6 { [%eval 2500/34][%emt 22]} Nd3 { [%eval 17,74/29][%emt 0]} 51.f7 { [%eval 2500/37][%emt 2]} Nxc1 { [%eval 30,54/28][%emt 3]} 52.f8=Q { [%eval 2500/1][%emt 0]} Nd3 { [%eval 99,78/26][%emt 4]} 53.Qe8+ { [%eval 2500/36][%emt 0]} Kc4 { [%eval 128,06/24][%emt 2]} 54.Qe6+ { [%eval 2500/36][%emt 3]} Kd4 { [%eval 21,47/21][%emt 3]} 55.Qf6+ { [%eval 2500/37][%emt 20]} Kc5 { [%eval 128,39/37][%emt 2]} 56.Qg5+ { [%eval 2500/40][%emt 4]} Kc4 { [%eval 128,39/41][%emt 2]} 57.a6 { [%eval 2500/39][%emt 0]} c1=Q { [%eval 128,42/33][%emt 2]} 58.Qxc1+ { [%eval 2500/41][%emt 14]} Nxc1 { [%eval 128,44/53][%emt 1]} 59.a7 { [%eval 2500/38][%emt 1]} Nxa2 { [%eval 128,45/55][%emt 0]} 60.a8=Q { [%eval 2500/37][%emt 2]} b3 { [%eval 128,46/59][%emt 0]} 61.Kxh7 { [%eval 2500/44][%emt 18]} Nc3 { [%eval 128,47/65][%emt 2]} 62.Qa3 { [%eval 2500/41][%emt 4]} Nd5 { [%eval 128,47/45][%emt 6]} 63.h5 { ( Nd5 ) [%eval 2500/41][%emt 0]} Nf6+ { [%eval 128,48/48][%emt 0]} 64.Kg7 { [%eval 2500/37][%emt 2]} Ne8+ { [%eval 128,49/48][%emt 5]} 65.Kf7 { [%eval 2500/31][%emt 2]} Nc7 { [%eval 128,50/46][%emt 3]} 66.Qxb3+ { [%eval 2500/35][%emt 5]} Kxb3 { [%eval 128,51/44][%emt 0]} 67.h6 { [%eval #10000/31][%emt 3]} Na6 { [%eval 128,51/34][%emt 0]} 68.h7 { [%eval #22/28][%emt 6]} Nc5 { [%eval 128,51/32][%emt 0]} 69.Kf6 { [%eval #20/28][%emt 0]} Ne4+ { [%eval 128,51/23][%emt 6]} 70.Kf5 { [%eval #20/21][%emt 1]} Nd2 { [%eval #41/25][%emt 2]} 71.h8=Q { [%eval #16/31][%emt 0]} Kc4 { [%eval #19/37][%emt 3]} 72.Qa1 { [%eval #14/32][%emt 0]} Kd3 { [%eval #16/36][%emt 1]} 73.Qd1 { [%eval #13/33][%emt 0]} Kc3 { [%eval #13/45][%emt 2]} 74.Qe2 { [%eval #12/32][%emt 0]} Nb3 { [%eval #12/44][%emt 1]} 75.Ke4 { [%eval #11/29][%emt 1]} Nc5+ { [%eval #10/50][%emt 2]} 76.Kd5 { [%eval #10/28][%emt 1]} Nd3 { [%eval #9/55][%emt 1]} 77.Qf3 { [%eval #9/35][%emt 1]} Kd2 { [%eval #8/59][%emt 3]} 78.Kd4 { [%eval #8/30][%emt 1]} Nc1 { [%eval #7/66][%emt 1]} 79.Qc3+ { [%eval #7/48][%emt 1]} Ke2 { [%eval #6/58][%emt 1]} 80.Ke4 { [%eval #6/82][%emt 0]} Nb3 { [%eval #5/76][%emt 2]} 81.Qxb3 { [%eval #5/99][%emt 0]} Kf2 { [%eval #4/119][%emt 5]} 82.Kf4 { [%eval #4/99][%emt 0]} Kf1 { [%eval #3/116][%emt 2]} 83.Qb2 { [%eval #3/99][%emt 1]} Ke1 { [%eval #2/127][%emt 1]} 84.Ke3 { [%eval #2/99][%emt 1]} Kd1 { [%eval #1/127][%emt 0]} 85.Qb1# {Mated [%eval #1/99][%emt 0]} 1-0[/pgn]
i7 5960X @ 4.1 Ghz, 64 GB G.Skill RipJaws RAM, Twin Asus ROG Strix OC 11 GB Geforce 2080 Tis

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