Hi there,
now the Contempt experiment.
The same SF 18Sep2016 BMI2 x64 is now playing with Contempt = 10 ... WITH FULL POWER for my little Rating List!
15-20 Elo more should be possible under my conditions!
If you have interest to follow:
http://www.amateurschach.de/ftptrigger/ ... 4-c10.html
Note:
I changed Elo calculation.
Naum 4.6 x64 with 2.885, before with 2.895 Elo.
Best
Frank
FCP: SF 18Sep2016 BMI2 x64 C10 vs. 49 opp. EXPERIMENT
Moderators: hgm, Rebel, chrisw
-
Frank Quisinsky
- Posts: 6811
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
-
Frank Quisinsky
- Posts: 6811
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
Re: After round 8/50 (16%) = 3218.43 Elo, +18.51 (Nr.1)
1. Move average = 82 undo end of game (mate, draw). Same as for Komodo 10 or 10.1 with Contempt = 10. Same SF Version without Contempt = move average 76!
2. 94 draw games x 100% : 16% = 587,5 games.
Around the 40-50 lesser draw games I await vs. weaker engines.
All runs with normaly Contempt stats.
No surprise for my list with my conditions after 16%!
For such a strong engine SF is Contempt is good for reduce the strength as UCI option vs. humans. Means, more chances for a GM to try to reach a fast draw. With the standard setting the SF Team reduce the strength. With Contempt -20 vs. GMs on high Level ... maybe -100 Elo!
-50 Elo vs. weaker engines in my list with Standard Setting Contempt = 0 ... should be around - 100 Elo vs. GMs 2500-2600 Elo with Contempt = -20, see stats in the bigger thread by myself. Nice idea to use Contempt in the future I think in human play.
Best
Frank
2. 94 draw games x 100% : 16% = 587,5 games.
Around the 40-50 lesser draw games I await vs. weaker engines.
All runs with normaly Contempt stats.
No surprise for my list with my conditions after 16%!
For such a strong engine SF is Contempt is good for reduce the strength as UCI option vs. humans. Means, more chances for a GM to try to reach a fast draw. With the standard setting the SF Team reduce the strength. With Contempt -20 vs. GMs on high Level ... maybe -100 Elo!
-50 Elo vs. weaker engines in my list with Standard Setting Contempt = 0 ... should be around - 100 Elo vs. GMs 2500-2600 Elo with Contempt = -20, see stats in the bigger thread by myself. Nice idea to use Contempt in the future I think in human play.
Best
Frank
Code: Select all
FCP Rating List (during a LIVE Test-Run)
----------------------------------------
Date : October 08th, 2016 (21:00)
Games : 59.192
Version : 4.36 Beta 1
Conditions : http://www.amateurschach.de/main/_conditions.htm
Generated with : Ordo 1.2.6 x64 (Ratings for chess and other games)
https://sites.google.com/site/gaviotachessengine/ordo
by Miguel A. Ballicora (Argentina)
***********************************************
Still running after round 8/50 = 16%
SF 18Sep2016 BMI2 x64 C10 = + 18.51 Elo
# Player : Elo Games Score% won draw lost Points Draw% Error OppAvg OppE OppD
----------------------------------------------------------------------------------------------------------------------------
1 SF 18Sep2016 BMI2 x64 C10 : 3218.43 392 87.8 297 94 1 344.0 24.0 38.01 2837.63 10.61 49.0
1 SF 18Sep2016 BMI2 x64 : 3199.92 2450 86.7 1808 630 12 2123.0 25.7 15.06 2837.97 10.57 49.0
****************************************************************************************************************************
# Player : Elo Games Score% won draw lost Points Draw% Error OppAvg OppE OppD
----------------------------------------------------------------------------------------------------------------------------
1 SF 18Sep2016 BMI2 x64 C10 : 3218.43 392 87.8 297 94 1 344.0 24.0 38.01 2837.63 10.61 49.0
2 Komodo 10 x64 : 3201.86 2408 87.4 1822 566 20 2105.0 23.5 15.70 2831.33 10.60 48.5
3 Houdini 4 STD B x64 : 3090.32 2408 79.0 1529 748 131 1903.0 31.1 12.19 2833.65 10.67 48.5
4 Fire 4 x64 : 3035.62 2408 73.8 1323 909 176 1777.5 37.7 11.19 2834.78 10.69 48.5
5 GullChess 3.0 BMI2 x64 : 3029.74 2408 73.2 1296 934 178 1763.0 38.8 11.15 2834.90 10.69 48.5
6 Andscacs 0.872 BMI2 x64 : 2999.68 2408 70.0 1187 998 223 1686.0 41.4 11.27 2835.53 10.69 48.5
7 Equinox 3.30 x64 : 2995.53 2408 69.6 1142 1066 200 1675.0 44.3 10.70 2835.61 10.70 48.5
8 Fizbo 1.8 BMI2 x64 : 2990.29 2408 69.0 1156 1010 242 1661.0 41.9 11.03 2835.72 10.69 48.5
9 Critter 1.6a x64 : 2978.47 2408 67.6 1112 1034 262 1629.0 42.9 10.31 2835.97 10.71 48.5
10 Fritz 15 x64 : 2976.49 2408 67.4 1104 1039 265 1623.5 43.1 10.83 2836.01 10.70 48.5
11 Nirvanachess 2.3 POP x64 : 2957.33 2408 65.2 994 1152 262 1570.0 47.8 10.49 2836.41 10.71 48.5
12 Hannibal 1.7 x64 : 2954.16 2408 64.8 1022 1078 308 1561.0 44.8 11.03 2836.47 10.69 48.5
13 Chiron 3 x64 : 2945.95 2408 63.8 990 1095 323 1537.5 45.5 11.09 2836.64 10.69 48.5
14 Protector 1.9.0 x64 : 2933.37 2408 62.3 948 1106 354 1501.0 45.9 10.61 2836.90 10.70 48.5
15 Texel 1.06 x64 : 2929.44 2408 61.9 960 1059 389 1489.5 44.0 10.35 2836.99 10.71 48.5
16 iCE 3.0 v658 POP x64 : 2919.79 2408 60.7 941 1040 427 1461.0 43.2 10.09 2837.19 10.71 48.5
17 Booot 6.0.2 POP x64 : 2901.61 2408 58.4 826 1161 421 1406.5 48.2 10.22 2837.56 10.71 48.5
18 Naum 4.6 x64 : 2885.00 2408 56.3 796 1120 492 1356.0 46.5 9.99 2837.91 10.72 48.5
19 SmarThink 1.96 SSE4 x64 : 2879.13 2408 55.6 849 978 581 1338.0 40.6 10.25 2838.03 10.71 48.5
20 Hakkapeliitta TCEC v2 x64 : 2876.04 2408 55.2 812 1033 563 1328.5 42.9 10.22 2838.09 10.71 48.5
21 Vajolet2 2.2 POP x64 : 2833.18 2408 49.6 656 1079 673 1195.5 44.8 9.94 2838.98 10.72 48.5
22 Senpai 1.0 SSE42 x64 : 2832.53 2408 49.6 656 1075 677 1193.5 44.6 9.99 2839.00 10.72 48.5
23 Hiarcs 14 WCSC w32 : 2821.31 2408 48.1 630 1057 721 1158.5 43.9 10.09 2839.23 10.71 48.5
24 Pedone 1.4.1 BMI2 x64 : 2812.81 2408 47.0 539 1186 683 1132.0 49.3 9.65 2839.41 10.72 48.5
25 Cheng 4.39 x64 : 2801.72 2408 45.6 562 1071 775 1097.5 44.5 10.18 2839.64 10.71 48.5
----------------------------------------------------------------------------------------------------------------------------
26 Sjeng c't 2010 w32 : 2800.76 2408 45.5 588 1013 807 1094.5 42.1 10.37 2839.66 10.71 48.5
27 Shredder 12 x64 : 2797.38 2408 45.0 539 1090 779 1084.0 45.3 10.23 2839.73 10.71 48.5
28 Arasan 19.1 POP x64 : 2794.31 2408 44.6 546 1057 805 1074.5 43.9 10.47 2839.79 10.71 48.5
29 Junior 13.3.00 x64 : 2791.73 2408 44.3 558 1017 833 1066.5 42.2 10.06 2839.85 10.71 48.5
30 Wasp 1.25 BMI2 x64 : 2784.61 2408 43.4 499 1091 818 1044.5 45.3 9.88 2839.99 10.72 48.5
31 Spike 1.4 Leiden w32 : 2782.53 2408 43.1 519 1038 851 1038.0 43.1 9.89 2840.04 10.72 48.5
32 Quazar 0.4 x64 : 2773.56 2408 42.0 492 1037 879 1010.5 43.1 10.43 2840.22 10.71 48.5
33 DiscoCheck 5.2.1 x64 : 2771.27 2408 41.7 523 961 924 1003.5 39.9 10.26 2840.27 10.71 48.5
34 Bobcat 7.6 x64 : 2766.20 2408 41.0 451 1074 883 988.0 44.6 10.20 2840.38 10.71 48.5
35 Deuterium 14.3.34.130 POP x64 : 2757.32 2408 39.9 424 1074 910 961.0 44.6 10.35 2840.56 10.71 48.5
36 Zappa Mexico II x64 : 2752.19 2408 39.3 403 1085 920 945.5 45.1 10.45 2840.67 10.71 48.5
37 Spark 1.0 x64 : 2751.20 2408 39.1 433 1019 956 942.5 42.3 9.79 2840.69 10.72 48.5
38 TogaII 280513 Intel w32 : 2736.49 2408 37.3 420 957 1031 898.5 39.7 10.30 2840.99 10.71 48.5
39 Gaviota 1.0 AVX x64 : 2731.09 2408 36.6 423 919 1066 882.5 38.2 10.56 2841.10 10.70 48.5
40 Crafty 25.0.1 JA POP x64 : 2725.48 2408 36.0 384 964 1060 866.0 40.0 10.60 2841.22 10.70 48.5
41 Dirty 03NOV2015 POP x64 : 2725.17 2408 35.9 376 978 1054 865.0 40.6 9.97 2841.23 10.72 48.5
42 EXchess 7.92b x64 : 2723.26 2408 35.7 337 1045 1026 859.5 43.4 10.49 2841.27 10.71 48.5
43 Rodent II 0.9.33 x64 : 2716.39 2408 34.9 358 963 1087 839.5 40.0 10.71 2841.41 10.70 48.5
44 Atlas 3.80 x64 : 2714.83 2408 34.7 354 962 1092 835.0 40.0 10.23 2841.44 10.71 48.5
45 Murka 3 x64 : 2710.85 2408 34.2 317 1013 1078 823.5 42.1 10.78 2841.52 10.70 48.5
46 DisasterArea 1.65 POP x64 : 2710.15 2408 34.1 307 1029 1072 821.5 42.7 10.80 2841.54 10.70 48.5
47 Nemo 1.01 Beta POP x64 : 2702.42 2408 33.2 323 953 1132 799.5 39.6 10.82 2841.70 10.70 48.5
48 Rhetoric 1.4.3 POP x64 : 2659.99 2408 28.4 261 844 1303 683.0 35.0 10.89 2842.58 10.70 48.5
49 Octochess r7533 DC x64 : 2659.23 2408 28.3 237 888 1283 681.0 36.9 11.41 2842.60 10.69 48.5
50 Laser 1.1 POP x64 : 2623.97 2408 24.6 188 807 1413 591.5 33.5 11.47 2843.33 10.68 48.5
----------------------------------------------------------------------------------------------------------------------------
White advantage = 33.04 +/- 1.11
Draw rate (equal opponents) = 51.63 % +/- 0.24
-
Frank Quisinsky
- Posts: 6811
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
Re: For the programmer of Andscacs ...
Hi,
after all Stats I have from Andscacs ... engine give clearly to many games fast draw ... Contempt with 10-15 will give a clearly better results. Andscacs is a good example for engines I tested. I am sure that with Contempt = 15 (a bit higher) Andscacs will go high with 15-20 Elo too and Fire and Gullchess are in the near!
Best
Frank
after all Stats I have from Andscacs ... engine give clearly to many games fast draw ... Contempt with 10-15 will give a clearly better results. Andscacs is a good example for engines I tested. I am sure that with Contempt = 15 (a bit higher) Andscacs will go high with 15-20 Elo too and Fire and Gullchess are in the near!
Best
Frank
-
Frank Quisinsky
- Posts: 6811
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
Re: Database checked ...
Hi there,
SF C10 lost 1 point only with fast draw games!
vs. Spark ... draw after 20 and vs. Laser draw after 28 moves.
That's good I think!
4x draw undo move 40 only, also good!
Now I can see the full power of SF!
A great engine, yes!
Interesting will be ...
Stockfish with standard setting 303 / 2450 = 12.367% fast won games undo move 60 undo mate. I hope I can see the same now with the Contempt = 10 version and the World in testing engines is fully OK. 303 was the new record in my list. The programmers of SF do a good job in the last 4-5 months!
Thats more interesting as Contempt ... 303 fast won games, yes or no!
At the moment 37 / 396 = 9.343%
Go SF go ...
Best
Frank
SF C10 lost 1 point only with fast draw games!
vs. Spark ... draw after 20 and vs. Laser draw after 28 moves.
That's good I think!
4x draw undo move 40 only, also good!
Now I can see the full power of SF!
A great engine, yes!
Interesting will be ...
Stockfish with standard setting 303 / 2450 = 12.367% fast won games undo move 60 undo mate. I hope I can see the same now with the Contempt = 10 version and the World in testing engines is fully OK. 303 was the new record in my list. The programmers of SF do a good job in the last 4-5 months!
Thats more interesting as Contempt ... 303 fast won games, yes or no!
At the moment 37 / 396 = 9.343%
Go SF go ...
Best
Frank
-
Frank Quisinsky
- Posts: 6811
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
Re: vs. Komodo 10 ... 1:0 after 46 moves!
At the Moment I am looking in SF games ...
I found this very nice game!
Same as vs. Houdini (Komodo lost after 26 moves). After 0-0 SF got the better position and is very aggressive with pawns. Really in the near to perfect attacking style. The secret in the beginng of a chess game. Pawns are most important for fast won games!!
Best
Frank
[pgn][Event "FCP, 40/10, p=off, i7-4770k-5930k, 4GHz"]
[Site "Trier"]
[Date "2016.10.08"]
[Round "5.1"]
[White "SF 18Sep2016 BMI2 x64 C10"]
[Black "Komodo 10 x64"]
[Result "1-0"]
[ECO "B31"]
[PlyCount "91"]
[EventDate "2016.??.??"]
[EventType "rapid"]
[EventRounds "50"]
[EventCountry "GER"]
[Source "Frank Quisinsky"]
[SourceDate "2016.10.08"]
1. e4 {[%eval 0,0] [%emt 0:00:00]} c5 {[%eval 0,0] [%emt 0:00:00]} 2. Nf3 {
[%eval 0,0] [%emt 0:00:00]} Nc6 {[%eval 0,0] [%emt 0:00:00]} 3. Bb5 {[%eval 0,
0] [%emt 0:00:00]} g6 {[%eval 0,0] [%emt 0:00:00]} 4. Nc3 {[%eval 0,0] [%emt 0:
00:00]} Bg7 {[%eval 0,0] [%emt 0:00:00]} 5. O-O {[%eval 0,0] [%emt 0:00:00]}
Nd4 {[%eval 0,0] [%emt 0:00:00]} 6. Ba4 {[%eval 0,0] [%emt 0:00:00]} a6 {
[%eval 0,0] [%emt 0:00:00]} 7. Nxd4 {[%eval 0,0] [%emt 0:00:00]} cxd4 {[%eval
0,0] [%emt 0:00:00]} 8. Ne2 {[%eval 0,0] [%emt 0:00:00]} e6 {[%eval 0,0] [%emt
0:00:00]} 9. c3 {[%eval 0,0] [%emt 0:00:00]} dxc3 {[%eval 0,0] [%emt 0:00:00]}
10. dxc3 {[%eval 0,0] [%emt 0:00:00]} Nf6 {[%eval 0,0] [%emt 0:00:00]} 11. f3 {
[%eval 0,0] [%emt 0:00:00]} b5 {[%eval 0,0] [%emt 0:00:00]} 12. Bc2 {[%eval 0,
0] [%emt 0:00:00]} d5 {[%eval 0,0] [%emt 0:00:00]} 13. e5 {[%eval 28,27] [%emt
0:00:40]} Nd7 {[%eval 15,23] [%emt 0:00:14]} 14. f4 {[%eval 20,23] [%emt 0:00:
04]} Qc7 {[%eval 14,23] [%emt 0:00:18] (O-O)} 15. h4 {[%eval 39,24] [%emt 0:00:
08] (Le3)} h5 {[%eval 20,24] [%emt 0:00:41]} 16. Be3 {[%eval 35,27] [%emt 0:00:
45]} Nb6 {[%eval 25,25] [%emt 0:00:38] (Sc5)} 17. Bf2 {[%eval 41,25] [%emt 0:
00:22] (b3)} O-O {[%eval 28,25] [%emt 0:01:02] (Sd7)} 18. Nd4 {[%eval 97,23]
[%emt 0:00:12]} Bh6 {[%eval 34,23] [%emt 0:00:15] (Sc4)} 19. g4 {[%eval 89,26]
[%emt 0:00:26] (Sf3)} Nc4 {[%eval 36,23] [%emt 0:00:33] (Lxf4)} 20. b3 {
[%eval 166,23] [%emt 0:00:09] (gxh5)} Na3 {[%eval 78,22] [%emt 0:00:25]} 21.
Bd3 {[%eval 192,23] [%emt 0:00:06]} b4 {[%eval 113,21] [%emt 0:00:26] (Lxf4)}
22. gxh5 {[%eval 241,21] [%emt 0:00:08]} bxc3 {[%eval 150,21] [%emt 0:00:27]
(f5)} 23. Qg4 {[%eval 294,26] [%emt 0:00:14]} Kh8 {[%eval 197,23] [%emt 0:00:
30] (c2)} 24. Kh1 {[%eval 447,24] [%emt 0:00:09]} Rg8 {[%eval 272,24] [%emt 0:
00:38] (f5)} 25. Rg1 {[%eval 510,27] [%emt 0:00:16]} f5 {[%eval 395,22] [%emt
0:00:23] (Ta7)} 26. exf6 {[%eval 714,24] [%emt 0:00:10]} e5 {[%eval 607,22]
[%emt 0:00:33]} 27. Qe2 {[%eval 689,24] [%emt 0:00:04] (f5)} Qd7 {[%eval 621,
21] [%emt 0:00:13]} 28. f5 {[%eval 761,25] [%emt 0:00:15]} Qf7 {[%eval 657,24]
[%emt 0:00:20]} 29. Qxe5 {[%eval 746,23] [%emt 0:00:03]} g5 {[%eval 662,23]
[%emt 0:00:07]} 30. Qe7 {[%eval 802,23] [%emt 0:00:14]} Ra7 {[%eval 664,25]
[%emt 0:00:12]} 31. Qxa3 {[%eval 818,24] [%emt 0:00:25]} Qxh5 {[%eval 678,25]
[%emt 0:00:29] (g4)} 32. Rae1 {[%eval 923,25] [%emt 0:00:19] (Dc5)} Bf8 {
[%eval 731,20] [%emt 0:00:11] (g4)} 33. Re7 {[%eval 1139,22] [%emt 0:00:14]
(Dc1)} Rb7 {[%eval 890,19] [%emt 0:00:19] (g4)} 34. Qd6 {[%eval 1340,26] [%emt
0:00:23] (Dc5)} Rd7 {[%eval 1072,21] [%emt 0:00:18] (Df7)} 35. Qe5 {[%eval
2617,24] [%emt 0:00:26] (Dc5)} Rb7 {[%eval 1518,20] [%emt 0:00:12] (c2)} 36.
f7+ {[%eval 32734,30] [%emt 0:00:23] (Te8)} Rg7 {[%eval 1833,18] [%emt 0:00:01]
} 37. Re8 {[%eval 32736,30] [%emt 0:00:15]} Rbxf7 {[%eval 2137,21] [%emt 0:00:
11] (Dxf7)} 38. Rxc8 {[%eval 32746,32] [%emt 0:00:35]} Qh6 {[%eval 32744,16]
[%emt 0:00:04] (c2)} 39. Ne6 {[%eval 32750,46] [%emt 0:00:41]} Qf6 {[%eval
32750,15] [%emt 0:00:00] (Kg8)} 40. Bd4 {[%eval 32754,62] [%emt 0:00:54] (Sxf8)
} Qxe5 {[%eval 32754,14] [%emt 0:00:00]} 41. Nxf8 {[%eval 32756,65] [%emt 0:00:
03]} Rxf5 {[%eval 32758,29] [%emt 0:00:02]} 42. Bxe5 {[%eval 32758,104] [%emt
0:00:17]} Kg8 {[%eval 32760,99] [%emt 0:00:01]} 43. Bxf5 {[%eval 32760,127]
[%emt 0:00:00]} Kf7 {[%eval 32762,99] [%emt 0:00:00]} 44. Rf1 {[%eval 32762,
127] [%emt 0:00:00]} Ke7 {[%eval 32764,99] [%emt 0:00:00]} 45. Bd7 {[%eval
32764,127] [%emt 0:00:00]} gxh4 {[%eval 32766,99] [%emt 0:00:00]} 46. Re8# {
[%eval 32766,127] [%emt 0:00:00]} 1-0[/pgn]
I found this very nice game!
Same as vs. Houdini (Komodo lost after 26 moves). After 0-0 SF got the better position and is very aggressive with pawns. Really in the near to perfect attacking style. The secret in the beginng of a chess game. Pawns are most important for fast won games!!
Best
Frank
[pgn][Event "FCP, 40/10, p=off, i7-4770k-5930k, 4GHz"]
[Site "Trier"]
[Date "2016.10.08"]
[Round "5.1"]
[White "SF 18Sep2016 BMI2 x64 C10"]
[Black "Komodo 10 x64"]
[Result "1-0"]
[ECO "B31"]
[PlyCount "91"]
[EventDate "2016.??.??"]
[EventType "rapid"]
[EventRounds "50"]
[EventCountry "GER"]
[Source "Frank Quisinsky"]
[SourceDate "2016.10.08"]
1. e4 {[%eval 0,0] [%emt 0:00:00]} c5 {[%eval 0,0] [%emt 0:00:00]} 2. Nf3 {
[%eval 0,0] [%emt 0:00:00]} Nc6 {[%eval 0,0] [%emt 0:00:00]} 3. Bb5 {[%eval 0,
0] [%emt 0:00:00]} g6 {[%eval 0,0] [%emt 0:00:00]} 4. Nc3 {[%eval 0,0] [%emt 0:
00:00]} Bg7 {[%eval 0,0] [%emt 0:00:00]} 5. O-O {[%eval 0,0] [%emt 0:00:00]}
Nd4 {[%eval 0,0] [%emt 0:00:00]} 6. Ba4 {[%eval 0,0] [%emt 0:00:00]} a6 {
[%eval 0,0] [%emt 0:00:00]} 7. Nxd4 {[%eval 0,0] [%emt 0:00:00]} cxd4 {[%eval
0,0] [%emt 0:00:00]} 8. Ne2 {[%eval 0,0] [%emt 0:00:00]} e6 {[%eval 0,0] [%emt
0:00:00]} 9. c3 {[%eval 0,0] [%emt 0:00:00]} dxc3 {[%eval 0,0] [%emt 0:00:00]}
10. dxc3 {[%eval 0,0] [%emt 0:00:00]} Nf6 {[%eval 0,0] [%emt 0:00:00]} 11. f3 {
[%eval 0,0] [%emt 0:00:00]} b5 {[%eval 0,0] [%emt 0:00:00]} 12. Bc2 {[%eval 0,
0] [%emt 0:00:00]} d5 {[%eval 0,0] [%emt 0:00:00]} 13. e5 {[%eval 28,27] [%emt
0:00:40]} Nd7 {[%eval 15,23] [%emt 0:00:14]} 14. f4 {[%eval 20,23] [%emt 0:00:
04]} Qc7 {[%eval 14,23] [%emt 0:00:18] (O-O)} 15. h4 {[%eval 39,24] [%emt 0:00:
08] (Le3)} h5 {[%eval 20,24] [%emt 0:00:41]} 16. Be3 {[%eval 35,27] [%emt 0:00:
45]} Nb6 {[%eval 25,25] [%emt 0:00:38] (Sc5)} 17. Bf2 {[%eval 41,25] [%emt 0:
00:22] (b3)} O-O {[%eval 28,25] [%emt 0:01:02] (Sd7)} 18. Nd4 {[%eval 97,23]
[%emt 0:00:12]} Bh6 {[%eval 34,23] [%emt 0:00:15] (Sc4)} 19. g4 {[%eval 89,26]
[%emt 0:00:26] (Sf3)} Nc4 {[%eval 36,23] [%emt 0:00:33] (Lxf4)} 20. b3 {
[%eval 166,23] [%emt 0:00:09] (gxh5)} Na3 {[%eval 78,22] [%emt 0:00:25]} 21.
Bd3 {[%eval 192,23] [%emt 0:00:06]} b4 {[%eval 113,21] [%emt 0:00:26] (Lxf4)}
22. gxh5 {[%eval 241,21] [%emt 0:00:08]} bxc3 {[%eval 150,21] [%emt 0:00:27]
(f5)} 23. Qg4 {[%eval 294,26] [%emt 0:00:14]} Kh8 {[%eval 197,23] [%emt 0:00:
30] (c2)} 24. Kh1 {[%eval 447,24] [%emt 0:00:09]} Rg8 {[%eval 272,24] [%emt 0:
00:38] (f5)} 25. Rg1 {[%eval 510,27] [%emt 0:00:16]} f5 {[%eval 395,22] [%emt
0:00:23] (Ta7)} 26. exf6 {[%eval 714,24] [%emt 0:00:10]} e5 {[%eval 607,22]
[%emt 0:00:33]} 27. Qe2 {[%eval 689,24] [%emt 0:00:04] (f5)} Qd7 {[%eval 621,
21] [%emt 0:00:13]} 28. f5 {[%eval 761,25] [%emt 0:00:15]} Qf7 {[%eval 657,24]
[%emt 0:00:20]} 29. Qxe5 {[%eval 746,23] [%emt 0:00:03]} g5 {[%eval 662,23]
[%emt 0:00:07]} 30. Qe7 {[%eval 802,23] [%emt 0:00:14]} Ra7 {[%eval 664,25]
[%emt 0:00:12]} 31. Qxa3 {[%eval 818,24] [%emt 0:00:25]} Qxh5 {[%eval 678,25]
[%emt 0:00:29] (g4)} 32. Rae1 {[%eval 923,25] [%emt 0:00:19] (Dc5)} Bf8 {
[%eval 731,20] [%emt 0:00:11] (g4)} 33. Re7 {[%eval 1139,22] [%emt 0:00:14]
(Dc1)} Rb7 {[%eval 890,19] [%emt 0:00:19] (g4)} 34. Qd6 {[%eval 1340,26] [%emt
0:00:23] (Dc5)} Rd7 {[%eval 1072,21] [%emt 0:00:18] (Df7)} 35. Qe5 {[%eval
2617,24] [%emt 0:00:26] (Dc5)} Rb7 {[%eval 1518,20] [%emt 0:00:12] (c2)} 36.
f7+ {[%eval 32734,30] [%emt 0:00:23] (Te8)} Rg7 {[%eval 1833,18] [%emt 0:00:01]
} 37. Re8 {[%eval 32736,30] [%emt 0:00:15]} Rbxf7 {[%eval 2137,21] [%emt 0:00:
11] (Dxf7)} 38. Rxc8 {[%eval 32746,32] [%emt 0:00:35]} Qh6 {[%eval 32744,16]
[%emt 0:00:04] (c2)} 39. Ne6 {[%eval 32750,46] [%emt 0:00:41]} Qf6 {[%eval
32750,15] [%emt 0:00:00] (Kg8)} 40. Bd4 {[%eval 32754,62] [%emt 0:00:54] (Sxf8)
} Qxe5 {[%eval 32754,14] [%emt 0:00:00]} 41. Nxf8 {[%eval 32756,65] [%emt 0:00:
03]} Rxf5 {[%eval 32758,29] [%emt 0:00:02]} 42. Bxe5 {[%eval 32758,104] [%emt
0:00:17]} Kg8 {[%eval 32760,99] [%emt 0:00:01]} 43. Bxf5 {[%eval 32760,127]
[%emt 0:00:00]} Kf7 {[%eval 32762,99] [%emt 0:00:00]} 44. Rf1 {[%eval 32762,
127] [%emt 0:00:00]} Ke7 {[%eval 32764,99] [%emt 0:00:00]} 45. Bd7 {[%eval
32764,127] [%emt 0:00:00]} gxh4 {[%eval 32766,99] [%emt 0:00:00]} 46. Re8# {
[%eval 32766,127] [%emt 0:00:00]} 1-0[/pgn]
-
Frank Quisinsky
- Posts: 6811
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
Re: Now over 88% Elo goes high ... the lost game!
And the Elo goes high ...
Now around 88.1% ...
It's to compare with Kasparow in best times.
The others have no chance ... with bit luck a draw is possible, not more!
Only one game lost vs. Booot so far!
Enough SF for today.
For the others ...
Have a nice Sunday!
Best
Frank
Here is the game SF lost ...
Only 1 after 437 games ...
[pgn]
[Event "FCP, 40/10, p=off, i7-4770k-5930k, 4GHz"]
[Site "Trier"]
[Date "2016.10.08"]
[Round "3.16"]
[White "Booot 6.0.2 POP x64"]
[Black "SF 18Sep2016 BMI2 x64 C10"]
[Result "1-0"]
[ECO "E10"]
[PlyCount "213"]
[EventDate "2016.??.??"]
[EventType "rapid"]
[EventRounds "50"]
[EventCountry "GER"]
[Source "Frank Quisinsky"]
[SourceDate "2016.10.08"]
1. d4 {[%eval 0,0] [%emt 0:00:00]} Nf6 {[%eval 0,0] [%emt 0:00:00]} 2. c4 {
[%eval 0,0] [%emt 0:00:00]} e6 {[%eval 0,0] [%emt 0:00:00]} 3. Nf3 {[%eval 0,0]
[%emt 0:00:00]} c5 {[%eval 0,0] [%emt 0:00:00]} 4. e3 {[%eval 0,0] [%emt 0:00:
00]} g6 {[%eval 0,0] [%emt 0:00:00]} 5. Nc3 {[%eval 0,0] [%emt 0:00:00]} Bg7 {
[%eval 0,0] [%emt 0:00:00]} 6. Nb5 {[%eval 0,0] [%emt 0:00:00]} O-O {[%eval 0,
0] [%emt 0:00:00]} 7. Nd6 {[%eval 0,0] [%emt 0:00:00]} Ne8 {[%eval 0,0] [%emt
0:00:00]} 8. Nxc8 {[%eval 0,0] [%emt 0:00:00]} Qxc8 {[%eval 0,0] [%emt 0:00:00]
} 9. Be2 {[%eval 0,0] [%emt 0:00:00]} Nd6 {[%eval 0,0] [%emt 0:00:00]} 10. O-O
{[%eval 0,0] [%emt 0:00:00]} f5 {[%eval 0,0] [%emt 0:00:00]} 11. b3 {[%eval 0,
0] [%emt 0:00:00]} Nc6 {[%eval 0,0] [%emt 0:00:00]} 12. Rb1 {[%eval 0,0] [%emt
0:00:00]} Qc7 {[%eval 0,0] [%emt 0:00:00]} 13. Ba3 {[%eval 15,23] [%emt 0:00:
12]} Ne4 {[%eval 23,29] [%emt 0:00:31]} 14. Bxc5 {[%eval 42,24] [%emt 0:00:24]}
Rfd8 {[%eval 12,28] [%emt 0:00:09]} 15. Qe1 {[%eval 29,25] [%emt 0:00:16]} Nxc5
{[%eval 25,27] [%emt 0:00:07]} 16. dxc5 {[%eval 23,27] [%emt 0:00:18]} Bf8 {
[%eval 20,28] [%emt 0:00:17]} 17. b4 {[%eval 29,26] [%emt 0:00:14]} b6 {
[%eval 30,29] [%emt 0:00:22]} 18. b5 {[%eval 14,27] [%emt 0:00:17]} Na5 {
[%eval 44,24] [%emt 0:00:02]} 19. c6 {[%eval 43,26] [%emt 0:00:13]} dxc6 {
[%eval 40,28] [%emt 0:00:24]} 20. Nd4 {[%eval 27,24] [%emt 0:00:15]} Kf7 {
[%eval 30,28] [%emt 0:00:10]} 21. Bf3 {[%eval 22,23] [%emt 0:00:18] (Sxc6)} c5
{[%eval 19,29] [%emt 0:00:13]} 22. Nc6 {[%eval 34,25] [%emt 0:00:15] (Sb3)}
Nxc6 {[%eval 31,29] [%emt 0:00:29]} 23. bxc6 {[%eval 32,26] [%emt 0:00:15]} Bg7
{[%eval 37,28] [%emt 0:00:30]} 24. Rb3 {[%eval 43,24] [%emt 0:00:14] (g3)} Be5
{[%eval 47,26] [%emt 0:00:47]} 25. g3 {[%eval 48,26] [%emt 0:00:20]} Rab8 {
[%eval 60,28] [%emt 0:01:04]} 26. Bg2 {[%eval 44,25] [%emt 0:00:24]} Kf8 {
[%eval 63,27] [%emt 0:00:25]} 27. a4 {[%eval 54,24] [%emt 0:00:22]} Qg7 {
[%eval 49,25] [%emt 0:00:20]} 28. Qe2 {[%eval 60,24] [%emt 0:00:18] (a5)} Bc7 {
[%eval 51,27] [%emt 0:00:25]} 29. Re1 {[%eval 60,25] [%emt 0:00:24] (a5)} Rd6 {
[%eval 36,23] [%emt 0:00:09]} 30. e4 {[%eval 49,25] [%emt 0:00:15] (a5)} f4 {
[%eval 36,25] [%emt 0:00:19]} 31. gxf4 {[%eval 42,23] [%emt 0:00:16]} Re8 {
[%eval 52,28] [%emt 0:01:05]} 32. e5 {[%eval 57,22] [%emt 0:00:19]} Rd4 {
[%eval 64,29] [%emt 0:00:15]} 33. Be4 {[%eval 63,25] [%emt 0:00:26]} Qh6 {
[%eval 78,25] [%emt 0:00:02]} 34. Rc3 {[%eval 65,23] [%emt 0:00:26] (Td1)} Re7
{[%eval 25,26] [%emt 0:00:10]} 35. Qg4 {[%eval 46,26] [%emt 0:00:22]} Qh5 {
[%eval 9,25] [%emt 0:00:02]} 36. Qxh5 {[%eval 45,27] [%emt 0:00:22] (Dg2)} gxh5
{[%eval 42,27] [%emt 0:00:24]} 37. Kf1 {[%eval 61,28] [%emt 0:00:26]} Rf7 {
[%eval 76,28] [%emt 0:00:32]} 38. f5 {[%eval 80,28] [%emt 0:00:20]} exf5 {
[%eval 84,27] [%emt 0:00:10]} 39. Bd5 {[%eval 73,30] [%emt 0:00:31]} Rg7 {
[%eval 85,23] [%emt 0:00:01]} 40. h3 {[%eval 95,30] [%emt 0:00:31] (Tf3)} f4 {
[%eval 68,24] [%emt 0:00:09]} 41. Rb3 {[%eval 91,26] [%emt 0:00:15]} Re7 {
[%eval 121,31] [%emt 0:01:18]} 42. a5 {[%eval 92,24] [%emt 0:00:13]} bxa5 {
[%eval 121,29] [%emt 0:00:29]} 43. Rb7 {[%eval 115,25] [%emt 0:00:15]} f3 {
[%eval 152,30] [%emt 0:00:49]} 44. Rxa7 {[%eval 112,27] [%emt 0:00:13] (Lxf3)}
Rd3 {[%eval 131,26] [%emt 0:00:08]} 45. Be4 {[%eval 133,26] [%emt 0:00:12] (e6)
} Ra3 {[%eval 93,24] [%emt 0:00:08]} 46. Kg1 {[%eval 81,20] [%emt 0:00:10] (e6)
} a4 {[%eval 94,28] [%emt 0:00:45]} 47. Bd5 {[%eval 106,24] [%emt 0:00:10]} Kg7
{[%eval 144,32] [%emt 0:00:28]} 48. Kh1 {[%eval 116,26] [%emt 0:00:15] (e6)}
Ra2 {[%eval 144,29] [%emt 0:00:12]} 49. Bxf3 {[%eval 125,25] [%emt 0:00:12]}
Rxf2 {[%eval 151,28] [%emt 0:00:05]} 50. Bd5 {[%eval 141,23] [%emt 0:00:15]}
Kg6 {[%eval 158,30] [%emt 0:00:20]} 51. e6 {[%eval 146,25] [%emt 0:00:14]} Kf6
{[%eval 158,32] [%emt 0:00:10]} 52. Ra8 {[%eval 146,27] [%emt 0:00:16]} Kg5 {
[%eval 158,31] [%emt 0:00:03]} 53. Kg1 {[%eval 153,25] [%emt 0:00:10]} Rf4 {
[%eval 195,33] [%emt 0:00:55]} 54. Rxa4 {[%eval 149,23] [%emt 0:00:10]} Rf8 {
[%eval 202,29] [%emt 0:00:11]} 55. Raa1 {[%eval 158,22] [%emt 0:00:15] (Ta2)}
h4 {[%eval 203,27] [%emt 0:00:09]} 56. Kg2 {[%eval 163,25] [%emt 0:00:11]} Bg3
{[%eval 210,31] [%emt 0:00:17]} 57. Reb1 {[%eval 160,26] [%emt 0:00:12]} Be5 {
[%eval 210,33] [%emt 0:00:24]} 58. Ra2 {[%eval 171,26] [%emt 0:00:16]} Rg7 {
[%eval 247,28] [%emt 0:00:05]} 59. Kh1 {[%eval 161,25] [%emt 0:00:11]} Bc7 {
[%eval 262,32] [%emt 0:00:16]} 60. Rg2+ {[%eval 173,27] [%emt 0:00:12] (Ta7)}
Bg3 {[%eval 262,34] [%emt 0:00:06]} 61. Re2 {[%eval 180,29] [%emt 0:00:13]} Re7
{[%eval 270,28] [%emt 0:00:01]} 62. Rb7 {[%eval 180,30] [%emt 0:00:11]} Bc7 {
[%eval 296,33] [%emt 0:00:29]} 63. Ra2 {[%eval 184,27] [%emt 0:00:11]} Kh6 {
[%eval 306,34] [%emt 0:00:08]} 64. Raa7 {[%eval 230,26] [%emt 0:00:11]} Rg7 {
[%eval 306,33] [%emt 0:00:02]} 65. Bg2 {[%eval 255,26] [%emt 0:00:17]} Rc8 {
[%eval 307,33] [%emt 0:00:06]} 66. Bf3 {[%eval 272,26] [%emt 0:00:18]} Re7 {
[%eval 307,32] [%emt 0:00:01]} 67. Rb3 {[%eval 282,24] [%emt 0:00:11] (Kg2)}
Kg6 {[%eval 307,26] [%emt 0:00:07]} 68. Rd3 {[%eval 306,25] [%emt 0:00:11]
(Ld5)} Kf6 {[%eval 357,27] [%emt 0:00:13]} 69. Rd7 {[%eval 346,26] [%emt 0:00:
15]} Bd6 {[%eval 360,25] [%emt 0:00:01]} 70. Bd5 {[%eval 318,27] [%emt 0:00:16]
} Rxe6 {[%eval 457,28] [%emt 0:00:20]} 71. Rf7+ {[%eval 336,26] [%emt 0:00:13]
(Lxe6)} Ke5 {[%eval 483,29] [%emt 0:00:13]} 72. Bxe6 {[%eval 344,27] [%emt 0:
00:15]} Kxe6 {[%eval 491,27] [%emt 0:00:04]} 73. Rxh7 {[%eval 349,27] [%emt 0:
00:21]} Rxc6 {[%eval 499,27] [%emt 0:00:11]} 74. Rxh4 {[%eval 350,25] [%emt 0:
00:18] (Th6+)} Kf5 {[%eval 437,23] [%emt 0:00:04]} 75. Rh6 {[%eval 392,26]
[%emt 0:00:18]} Rb6 {[%eval 454,25] [%emt 0:00:02]} 76. Rf7+ {[%eval 423,24]
[%emt 0:00:14]} Ke5 {[%eval 539,30] [%emt 0:00:17]} 77. Rd7 {[%eval 439,26]
[%emt 0:00:24]} Rb1+ {[%eval 582,27] [%emt 0:00:06]} 78. Kg2 {[%eval 439,29]
[%emt 0:00:16]} Bb8 {[%eval 584,24] [%emt 0:00:00]} 79. Kf3 {[%eval 440,29]
[%emt 0:00:26]} Rf1+ {[%eval 608,28] [%emt 0:00:07]} 80. Ke2 {[%eval 465,30]
[%emt 0:00:26]} Rb1 {[%eval 619,26] [%emt 0:00:04]} 81. Rd5+ {[%eval 464,24]
[%emt 0:00:09]} Ke4 {[%eval 687,29] [%emt 0:00:34]} 82. Re6+ {[%eval 466,24]
[%emt 0:00:15]} Kf4 {[%eval 694,27] [%emt 0:00:06]} 83. h4 {[%eval 490,25]
[%emt 0:00:11]} Rb2+ {[%eval 818,30] [%emt 0:02:06]} 84. Kd3 {[%eval 470,26]
[%emt 0:00:14]} Rb3+ {[%eval 830,30] [%emt 0:00:24]} 85. Kc2 {[%eval 499,26]
[%emt 0:00:09]} Rh3 {[%eval 904,31] [%emt 0:01:41]} 86. h5 {[%eval 515,25]
[%emt 0:00:16]} Rh2+ {[%eval 918,28] [%emt 0:00:22]} 87. Kb3 {[%eval 552,23]
[%emt 0:00:12]} Bc7 {[%eval 991,31] [%emt 0:01:19]} 88. Rxc5 {[%eval 617,24]
[%emt 0:00:13]} Bd8 {[%eval 1116,30] [%emt 0:00:57]} 89. Rd5 {[%eval 702,23]
[%emt 0:00:15]} Bg5 {[%eval 1145,28] [%emt 0:00:07]} 90. Ree5 {[%eval 735,24]
[%emt 0:00:10] (Tg6)} Bh6 {[%eval 1174,26] [%emt 0:00:28]} 91. c5 {[%eval 764,
24] [%emt 0:00:12]} Bg7 {[%eval 1252,25] [%emt 0:00:07]} 92. Re6 {[%eval 800,
23] [%emt 0:00:16] (Te7)} Rb2+ {[%eval 990,24] [%emt 0:00:21]} 93. Ka3 {
[%eval 827,22] [%emt 0:00:10] (Kc4)} Rb5 {[%eval 1414,24] [%emt 0:00:09]} 94.
Ka4 {[%eval 1006,21] [%emt 0:00:14]} Rb1 {[%eval 1542,24] [%emt 0:00:13]} 95.
c6 {[%eval 1090,21] [%emt 0:00:10]} Bc3 {[%eval 1616,22] [%emt 0:00:07]} 96. h6
{[%eval 1140,22] [%emt 0:00:15] (Ka3)} Rb6 {[%eval 2091,22] [%emt 0:00:16]} 97.
Rd3 {[%eval 1580,23] [%emt 0:00:16] (Tc5)} Be5 {[%eval 1561,17] [%emt 0:00:00]}
98. c7 {[%eval 2180,20] [%emt 0:00:25] (Td7)} Ra6+ {[%eval 12845,27] [%emt 0:
00:02]} 99. Rxa6 {[%eval 32746,31] [%emt 0:00:16]} Bxc7 {[%eval 12847,28]
[%emt 0:00:00]} 100. Rf6+ {[%eval 32750,33] [%emt 0:00:12] (Te6)} Ke4 {[%eval
12848,35] [%emt 0:00:01]} 101. h7 {[%eval 32752,40] [%emt 0:00:10] (Tfd6)} Kxd3
{[%eval 12849,39] [%emt 0:00:01]} 102. Re6 {[%eval 32754,45] [%emt 0:00:10]
(Td6+)} Be5 {[%eval 12850,49] [%emt 0:00:01]} 103. Rxe5 {[%eval 32758,112]
[%emt 0:00:10]} Kc3 {[%eval 32760,127] [%emt 0:00:01]} 104. h8=Q {[%eval 32760,
127] [%emt 0:00:04]} Kc2 {[%eval 32762,127] [%emt 0:00:00]} 105. Rd5 {[%eval
32762,128] [%emt 0:00:00] (Dd8)} Kb1 {[%eval 32764,127] [%emt 0:00:00]} 106.
Rd2 {[%eval 32764,128] [%emt 0:00:00] (Kb3)} Kc1 {[%eval 32766,1] [%emt 0:00:
00]} 107. Qb2# {[%eval 32766,128] [%emt 0:00:00]} 1-0[/pgn]
Now around 88.1% ...
It's to compare with Kasparow in best times.
The others have no chance ... with bit luck a draw is possible, not more!
Only one game lost vs. Booot so far!
Enough SF for today.
For the others ...
Have a nice Sunday!
Best
Frank
Here is the game SF lost ...
Only 1 after 437 games ...
[pgn]
[Event "FCP, 40/10, p=off, i7-4770k-5930k, 4GHz"]
[Site "Trier"]
[Date "2016.10.08"]
[Round "3.16"]
[White "Booot 6.0.2 POP x64"]
[Black "SF 18Sep2016 BMI2 x64 C10"]
[Result "1-0"]
[ECO "E10"]
[PlyCount "213"]
[EventDate "2016.??.??"]
[EventType "rapid"]
[EventRounds "50"]
[EventCountry "GER"]
[Source "Frank Quisinsky"]
[SourceDate "2016.10.08"]
1. d4 {[%eval 0,0] [%emt 0:00:00]} Nf6 {[%eval 0,0] [%emt 0:00:00]} 2. c4 {
[%eval 0,0] [%emt 0:00:00]} e6 {[%eval 0,0] [%emt 0:00:00]} 3. Nf3 {[%eval 0,0]
[%emt 0:00:00]} c5 {[%eval 0,0] [%emt 0:00:00]} 4. e3 {[%eval 0,0] [%emt 0:00:
00]} g6 {[%eval 0,0] [%emt 0:00:00]} 5. Nc3 {[%eval 0,0] [%emt 0:00:00]} Bg7 {
[%eval 0,0] [%emt 0:00:00]} 6. Nb5 {[%eval 0,0] [%emt 0:00:00]} O-O {[%eval 0,
0] [%emt 0:00:00]} 7. Nd6 {[%eval 0,0] [%emt 0:00:00]} Ne8 {[%eval 0,0] [%emt
0:00:00]} 8. Nxc8 {[%eval 0,0] [%emt 0:00:00]} Qxc8 {[%eval 0,0] [%emt 0:00:00]
} 9. Be2 {[%eval 0,0] [%emt 0:00:00]} Nd6 {[%eval 0,0] [%emt 0:00:00]} 10. O-O
{[%eval 0,0] [%emt 0:00:00]} f5 {[%eval 0,0] [%emt 0:00:00]} 11. b3 {[%eval 0,
0] [%emt 0:00:00]} Nc6 {[%eval 0,0] [%emt 0:00:00]} 12. Rb1 {[%eval 0,0] [%emt
0:00:00]} Qc7 {[%eval 0,0] [%emt 0:00:00]} 13. Ba3 {[%eval 15,23] [%emt 0:00:
12]} Ne4 {[%eval 23,29] [%emt 0:00:31]} 14. Bxc5 {[%eval 42,24] [%emt 0:00:24]}
Rfd8 {[%eval 12,28] [%emt 0:00:09]} 15. Qe1 {[%eval 29,25] [%emt 0:00:16]} Nxc5
{[%eval 25,27] [%emt 0:00:07]} 16. dxc5 {[%eval 23,27] [%emt 0:00:18]} Bf8 {
[%eval 20,28] [%emt 0:00:17]} 17. b4 {[%eval 29,26] [%emt 0:00:14]} b6 {
[%eval 30,29] [%emt 0:00:22]} 18. b5 {[%eval 14,27] [%emt 0:00:17]} Na5 {
[%eval 44,24] [%emt 0:00:02]} 19. c6 {[%eval 43,26] [%emt 0:00:13]} dxc6 {
[%eval 40,28] [%emt 0:00:24]} 20. Nd4 {[%eval 27,24] [%emt 0:00:15]} Kf7 {
[%eval 30,28] [%emt 0:00:10]} 21. Bf3 {[%eval 22,23] [%emt 0:00:18] (Sxc6)} c5
{[%eval 19,29] [%emt 0:00:13]} 22. Nc6 {[%eval 34,25] [%emt 0:00:15] (Sb3)}
Nxc6 {[%eval 31,29] [%emt 0:00:29]} 23. bxc6 {[%eval 32,26] [%emt 0:00:15]} Bg7
{[%eval 37,28] [%emt 0:00:30]} 24. Rb3 {[%eval 43,24] [%emt 0:00:14] (g3)} Be5
{[%eval 47,26] [%emt 0:00:47]} 25. g3 {[%eval 48,26] [%emt 0:00:20]} Rab8 {
[%eval 60,28] [%emt 0:01:04]} 26. Bg2 {[%eval 44,25] [%emt 0:00:24]} Kf8 {
[%eval 63,27] [%emt 0:00:25]} 27. a4 {[%eval 54,24] [%emt 0:00:22]} Qg7 {
[%eval 49,25] [%emt 0:00:20]} 28. Qe2 {[%eval 60,24] [%emt 0:00:18] (a5)} Bc7 {
[%eval 51,27] [%emt 0:00:25]} 29. Re1 {[%eval 60,25] [%emt 0:00:24] (a5)} Rd6 {
[%eval 36,23] [%emt 0:00:09]} 30. e4 {[%eval 49,25] [%emt 0:00:15] (a5)} f4 {
[%eval 36,25] [%emt 0:00:19]} 31. gxf4 {[%eval 42,23] [%emt 0:00:16]} Re8 {
[%eval 52,28] [%emt 0:01:05]} 32. e5 {[%eval 57,22] [%emt 0:00:19]} Rd4 {
[%eval 64,29] [%emt 0:00:15]} 33. Be4 {[%eval 63,25] [%emt 0:00:26]} Qh6 {
[%eval 78,25] [%emt 0:00:02]} 34. Rc3 {[%eval 65,23] [%emt 0:00:26] (Td1)} Re7
{[%eval 25,26] [%emt 0:00:10]} 35. Qg4 {[%eval 46,26] [%emt 0:00:22]} Qh5 {
[%eval 9,25] [%emt 0:00:02]} 36. Qxh5 {[%eval 45,27] [%emt 0:00:22] (Dg2)} gxh5
{[%eval 42,27] [%emt 0:00:24]} 37. Kf1 {[%eval 61,28] [%emt 0:00:26]} Rf7 {
[%eval 76,28] [%emt 0:00:32]} 38. f5 {[%eval 80,28] [%emt 0:00:20]} exf5 {
[%eval 84,27] [%emt 0:00:10]} 39. Bd5 {[%eval 73,30] [%emt 0:00:31]} Rg7 {
[%eval 85,23] [%emt 0:00:01]} 40. h3 {[%eval 95,30] [%emt 0:00:31] (Tf3)} f4 {
[%eval 68,24] [%emt 0:00:09]} 41. Rb3 {[%eval 91,26] [%emt 0:00:15]} Re7 {
[%eval 121,31] [%emt 0:01:18]} 42. a5 {[%eval 92,24] [%emt 0:00:13]} bxa5 {
[%eval 121,29] [%emt 0:00:29]} 43. Rb7 {[%eval 115,25] [%emt 0:00:15]} f3 {
[%eval 152,30] [%emt 0:00:49]} 44. Rxa7 {[%eval 112,27] [%emt 0:00:13] (Lxf3)}
Rd3 {[%eval 131,26] [%emt 0:00:08]} 45. Be4 {[%eval 133,26] [%emt 0:00:12] (e6)
} Ra3 {[%eval 93,24] [%emt 0:00:08]} 46. Kg1 {[%eval 81,20] [%emt 0:00:10] (e6)
} a4 {[%eval 94,28] [%emt 0:00:45]} 47. Bd5 {[%eval 106,24] [%emt 0:00:10]} Kg7
{[%eval 144,32] [%emt 0:00:28]} 48. Kh1 {[%eval 116,26] [%emt 0:00:15] (e6)}
Ra2 {[%eval 144,29] [%emt 0:00:12]} 49. Bxf3 {[%eval 125,25] [%emt 0:00:12]}
Rxf2 {[%eval 151,28] [%emt 0:00:05]} 50. Bd5 {[%eval 141,23] [%emt 0:00:15]}
Kg6 {[%eval 158,30] [%emt 0:00:20]} 51. e6 {[%eval 146,25] [%emt 0:00:14]} Kf6
{[%eval 158,32] [%emt 0:00:10]} 52. Ra8 {[%eval 146,27] [%emt 0:00:16]} Kg5 {
[%eval 158,31] [%emt 0:00:03]} 53. Kg1 {[%eval 153,25] [%emt 0:00:10]} Rf4 {
[%eval 195,33] [%emt 0:00:55]} 54. Rxa4 {[%eval 149,23] [%emt 0:00:10]} Rf8 {
[%eval 202,29] [%emt 0:00:11]} 55. Raa1 {[%eval 158,22] [%emt 0:00:15] (Ta2)}
h4 {[%eval 203,27] [%emt 0:00:09]} 56. Kg2 {[%eval 163,25] [%emt 0:00:11]} Bg3
{[%eval 210,31] [%emt 0:00:17]} 57. Reb1 {[%eval 160,26] [%emt 0:00:12]} Be5 {
[%eval 210,33] [%emt 0:00:24]} 58. Ra2 {[%eval 171,26] [%emt 0:00:16]} Rg7 {
[%eval 247,28] [%emt 0:00:05]} 59. Kh1 {[%eval 161,25] [%emt 0:00:11]} Bc7 {
[%eval 262,32] [%emt 0:00:16]} 60. Rg2+ {[%eval 173,27] [%emt 0:00:12] (Ta7)}
Bg3 {[%eval 262,34] [%emt 0:00:06]} 61. Re2 {[%eval 180,29] [%emt 0:00:13]} Re7
{[%eval 270,28] [%emt 0:00:01]} 62. Rb7 {[%eval 180,30] [%emt 0:00:11]} Bc7 {
[%eval 296,33] [%emt 0:00:29]} 63. Ra2 {[%eval 184,27] [%emt 0:00:11]} Kh6 {
[%eval 306,34] [%emt 0:00:08]} 64. Raa7 {[%eval 230,26] [%emt 0:00:11]} Rg7 {
[%eval 306,33] [%emt 0:00:02]} 65. Bg2 {[%eval 255,26] [%emt 0:00:17]} Rc8 {
[%eval 307,33] [%emt 0:00:06]} 66. Bf3 {[%eval 272,26] [%emt 0:00:18]} Re7 {
[%eval 307,32] [%emt 0:00:01]} 67. Rb3 {[%eval 282,24] [%emt 0:00:11] (Kg2)}
Kg6 {[%eval 307,26] [%emt 0:00:07]} 68. Rd3 {[%eval 306,25] [%emt 0:00:11]
(Ld5)} Kf6 {[%eval 357,27] [%emt 0:00:13]} 69. Rd7 {[%eval 346,26] [%emt 0:00:
15]} Bd6 {[%eval 360,25] [%emt 0:00:01]} 70. Bd5 {[%eval 318,27] [%emt 0:00:16]
} Rxe6 {[%eval 457,28] [%emt 0:00:20]} 71. Rf7+ {[%eval 336,26] [%emt 0:00:13]
(Lxe6)} Ke5 {[%eval 483,29] [%emt 0:00:13]} 72. Bxe6 {[%eval 344,27] [%emt 0:
00:15]} Kxe6 {[%eval 491,27] [%emt 0:00:04]} 73. Rxh7 {[%eval 349,27] [%emt 0:
00:21]} Rxc6 {[%eval 499,27] [%emt 0:00:11]} 74. Rxh4 {[%eval 350,25] [%emt 0:
00:18] (Th6+)} Kf5 {[%eval 437,23] [%emt 0:00:04]} 75. Rh6 {[%eval 392,26]
[%emt 0:00:18]} Rb6 {[%eval 454,25] [%emt 0:00:02]} 76. Rf7+ {[%eval 423,24]
[%emt 0:00:14]} Ke5 {[%eval 539,30] [%emt 0:00:17]} 77. Rd7 {[%eval 439,26]
[%emt 0:00:24]} Rb1+ {[%eval 582,27] [%emt 0:00:06]} 78. Kg2 {[%eval 439,29]
[%emt 0:00:16]} Bb8 {[%eval 584,24] [%emt 0:00:00]} 79. Kf3 {[%eval 440,29]
[%emt 0:00:26]} Rf1+ {[%eval 608,28] [%emt 0:00:07]} 80. Ke2 {[%eval 465,30]
[%emt 0:00:26]} Rb1 {[%eval 619,26] [%emt 0:00:04]} 81. Rd5+ {[%eval 464,24]
[%emt 0:00:09]} Ke4 {[%eval 687,29] [%emt 0:00:34]} 82. Re6+ {[%eval 466,24]
[%emt 0:00:15]} Kf4 {[%eval 694,27] [%emt 0:00:06]} 83. h4 {[%eval 490,25]
[%emt 0:00:11]} Rb2+ {[%eval 818,30] [%emt 0:02:06]} 84. Kd3 {[%eval 470,26]
[%emt 0:00:14]} Rb3+ {[%eval 830,30] [%emt 0:00:24]} 85. Kc2 {[%eval 499,26]
[%emt 0:00:09]} Rh3 {[%eval 904,31] [%emt 0:01:41]} 86. h5 {[%eval 515,25]
[%emt 0:00:16]} Rh2+ {[%eval 918,28] [%emt 0:00:22]} 87. Kb3 {[%eval 552,23]
[%emt 0:00:12]} Bc7 {[%eval 991,31] [%emt 0:01:19]} 88. Rxc5 {[%eval 617,24]
[%emt 0:00:13]} Bd8 {[%eval 1116,30] [%emt 0:00:57]} 89. Rd5 {[%eval 702,23]
[%emt 0:00:15]} Bg5 {[%eval 1145,28] [%emt 0:00:07]} 90. Ree5 {[%eval 735,24]
[%emt 0:00:10] (Tg6)} Bh6 {[%eval 1174,26] [%emt 0:00:28]} 91. c5 {[%eval 764,
24] [%emt 0:00:12]} Bg7 {[%eval 1252,25] [%emt 0:00:07]} 92. Re6 {[%eval 800,
23] [%emt 0:00:16] (Te7)} Rb2+ {[%eval 990,24] [%emt 0:00:21]} 93. Ka3 {
[%eval 827,22] [%emt 0:00:10] (Kc4)} Rb5 {[%eval 1414,24] [%emt 0:00:09]} 94.
Ka4 {[%eval 1006,21] [%emt 0:00:14]} Rb1 {[%eval 1542,24] [%emt 0:00:13]} 95.
c6 {[%eval 1090,21] [%emt 0:00:10]} Bc3 {[%eval 1616,22] [%emt 0:00:07]} 96. h6
{[%eval 1140,22] [%emt 0:00:15] (Ka3)} Rb6 {[%eval 2091,22] [%emt 0:00:16]} 97.
Rd3 {[%eval 1580,23] [%emt 0:00:16] (Tc5)} Be5 {[%eval 1561,17] [%emt 0:00:00]}
98. c7 {[%eval 2180,20] [%emt 0:00:25] (Td7)} Ra6+ {[%eval 12845,27] [%emt 0:
00:02]} 99. Rxa6 {[%eval 32746,31] [%emt 0:00:16]} Bxc7 {[%eval 12847,28]
[%emt 0:00:00]} 100. Rf6+ {[%eval 32750,33] [%emt 0:00:12] (Te6)} Ke4 {[%eval
12848,35] [%emt 0:00:01]} 101. h7 {[%eval 32752,40] [%emt 0:00:10] (Tfd6)} Kxd3
{[%eval 12849,39] [%emt 0:00:01]} 102. Re6 {[%eval 32754,45] [%emt 0:00:10]
(Td6+)} Be5 {[%eval 12850,49] [%emt 0:00:01]} 103. Rxe5 {[%eval 32758,112]
[%emt 0:00:10]} Kc3 {[%eval 32760,127] [%emt 0:00:01]} 104. h8=Q {[%eval 32760,
127] [%emt 0:00:04]} Kc2 {[%eval 32762,127] [%emt 0:00:00]} 105. Rd5 {[%eval
32762,128] [%emt 0:00:00] (Dd8)} Kb1 {[%eval 32764,127] [%emt 0:00:00]} 106.
Rd2 {[%eval 32764,128] [%emt 0:00:00] (Kb3)} Kc1 {[%eval 32766,1] [%emt 0:00:
00]} 107. Qb2# {[%eval 32766,128] [%emt 0:00:00]} 1-0[/pgn]
-
Frank Quisinsky
- Posts: 6811
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
Re: After round 13/50 (26%) = 3214.28 Elo, +14.36 (Nr.1)
More draw games but vs. stronger engines ...
All is OK ... I think Elo will go high!
All is OK ... I think Elo will go high!
Code: Select all
FCP Rating List (during a LIVE Test-Run)
----------------------------------------
Date : October 09th, 2016 (09:15)
Games : 59.437
Version : 4.36 Beta 2
Conditions : http://www.amateurschach.de/main/_conditions.htm
Generated with : Ordo 1.2.6 x64 (Ratings for chess and other games)
https://sites.google.com/site/gaviotachessengine/ordo
by Miguel A. Ballicora (Argentina)
***********************************************
Still running after round 13/50 = 26%
SF 18Sep2016 BMI2 x64 C10 = + 14.36 Elo
# Player : Elo Games Score% won draw lost Points Draw% Error OppAvg OppE OppD
----------------------------------------------------------------------------------------------------------------------------
1 SF 18Sep2016 BMI2 x64 C10 : 3214.28 637 87.5 479 157 1 557.5 24.6 30.07 2837.68 10.66 49.0
1 SF 18Sep2016 BMI2 x64 : 3199.92 2450 86.7 1808 630 12 2123.0 25.7 15.06 2837.97 10.57 49.0
****************************************************************************************************************************
# Player : Elo Games Score% won draw lost Points Draw% Error OppAvg OppE OppD
----------------------------------------------------------------------------------------------------------------------------
1 SF 18Sep2016 BMI2 x64 C10 : 3214.28 637 87.5 479 157 1 557.5 24.6 30.07 2837.68 10.66 49.0
2 Komodo 10 x64 : 3201.62 2413 87.3 1822 570 21 2107.0 23.6 14.64 2832.17 10.69 48.6
3 Houdini 4 STD B x64 : 3090.01 2413 78.9 1529 750 134 1904.0 31.1 12.55 2834.48 10.73 48.6
4 Fire 4 x64 : 3035.53 2413 73.7 1323 911 179 1778.5 37.8 11.36 2835.61 10.75 48.6
5 GullChess 3.0 BMI2 x64 : 3030.04 2413 73.1 1296 938 179 1765.0 38.9 11.30 2835.72 10.76 48.6
6 Andscacs 0.872 BMI2 x64 : 2999.48 2413 69.9 1187 999 227 1686.5 41.4 11.03 2836.36 10.76 48.6
7 Equinox 3.30 x64 : 2995.88 2413 69.5 1142 1070 201 1677.0 44.3 11.23 2836.43 10.76 48.6
8 Fizbo 1.8 BMI2 x64 : 2990.30 2413 68.9 1156 1012 245 1662.0 41.9 10.81 2836.55 10.77 48.6
9 Critter 1.6a x64 : 2978.30 2413 67.5 1112 1035 266 1629.5 42.9 10.59 2836.80 10.77 48.6
10 Fritz 15 x64 : 2976.89 2413 67.4 1104 1043 266 1625.5 43.2 10.96 2836.82 10.76 48.6
11 Nirvanachess 2.3 POP x64 : 2957.38 2413 65.1 994 1154 265 1571.0 47.8 10.58 2837.23 10.77 48.6
12 Hannibal 1.7 x64 : 2954.06 2413 64.7 1022 1079 312 1561.5 44.7 10.90 2837.30 10.76 48.6
13 Chiron 3 x64 : 2946.01 2413 63.8 990 1097 326 1538.5 45.5 10.86 2837.46 10.76 48.6
14 Protector 1.9.0 x64 : 2933.30 2413 62.2 948 1107 358 1501.5 45.9 10.39 2837.73 10.77 48.6
15 Texel 1.06 x64 : 2929.54 2413 61.8 960 1061 392 1490.5 44.0 10.06 2837.81 10.78 48.6
16 iCE 3.0 v658 POP x64 : 2919.75 2413 60.6 941 1041 431 1461.5 43.1 10.40 2838.01 10.77 48.6
17 Booot 6.0.2 POP x64 : 2901.57 2413 58.3 826 1162 425 1407.0 48.2 10.08 2838.39 10.78 48.6
18 Naum 4.6 x64 : 2885.00 2413 56.2 796 1121 496 1356.5 46.5 10.47 2838.73 10.77 48.6
19 SmarThink 1.96 SSE4 x64 : 2879.12 2413 55.5 849 979 585 1338.5 40.6 10.32 2838.85 10.78 48.6
20 Hakkapeliitta TCEC v2 x64 : 2876.05 2413 55.1 812 1034 567 1329.0 42.9 10.42 2838.91 10.77 48.6
21 Vajolet2 2.2 POP x64 : 2833.38 2413 49.6 656 1081 676 1196.5 44.8 10.03 2839.80 10.78 48.6
22 Senpai 1.0 SSE42 x64 : 2832.43 2413 49.5 656 1075 682 1193.5 44.6 10.57 2839.82 10.77 48.6
23 Hiarcs 14 WCSC w32 : 2821.21 2413 48.0 630 1057 726 1158.5 43.8 9.78 2840.05 10.79 48.6
24 Pedone 1.4.1 BMI2 x64 : 2812.72 2413 46.9 539 1186 688 1132.0 49.2 10.04 2840.23 10.78 48.6
25 Cheng 4.39 x64 : 2801.63 2413 45.5 562 1071 780 1097.5 44.4 10.09 2840.46 10.78 48.6
----------------------------------------------------------------------------------------------------------------------------
26 Sjeng c't 2010 w32 : 2801.16 2413 45.4 588 1016 809 1096.0 42.1 10.06 2840.47 10.78 48.6
27 Shredder 12 x64 : 2797.29 2413 44.9 539 1090 784 1084.0 45.2 10.31 2840.55 10.78 48.6
28 Arasan 19.1 POP x64 : 2794.24 2413 44.5 546 1057 810 1074.5 43.8 10.25 2840.61 10.78 48.6
29 Junior 13.3.00 x64 : 2791.97 2413 44.2 558 1019 836 1067.5 42.2 10.24 2840.66 10.78 48.6
30 Wasp 1.25 BMI2 x64 : 2784.54 2413 43.3 499 1091 823 1044.5 45.2 10.54 2840.81 10.77 48.6
31 Spike 1.4 Leiden w32 : 2782.61 2413 43.0 519 1039 855 1038.5 43.1 10.43 2840.85 10.77 48.6
32 Quazar 0.4 x64 : 2773.82 2413 41.9 492 1039 882 1011.5 43.1 10.10 2841.03 10.78 48.6
33 DiscoCheck 5.2.1 x64 : 2771.20 2413 41.6 523 961 929 1003.5 39.8 10.00 2841.09 10.78 48.6
34 Bobcat 7.6 x64 : 2766.63 2413 41.0 451 1077 885 989.5 44.6 10.47 2841.18 10.77 48.6
35 Deuterium 14.3.34.130 POP x64 : 2757.59 2413 39.9 424 1076 913 962.0 44.6 10.54 2841.37 10.77 48.6
36 Zappa Mexico II x64 : 2752.30 2413 39.2 403 1086 924 946.0 45.0 10.25 2841.48 10.78 48.6
37 Spark 1.0 x64 : 2751.15 2413 39.1 433 1019 961 942.5 42.2 10.57 2841.50 10.77 48.6
38 TogaII 280513 Intel w32 : 2736.45 2413 37.2 420 957 1036 898.5 39.7 10.43 2841.81 10.77 48.6
39 Gaviota 1.0 AVX x64 : 2731.04 2413 36.6 423 919 1071 882.5 38.1 10.75 2841.92 10.77 48.6
40 Crafty 25.0.1 JA POP x64 : 2725.95 2413 36.0 384 967 1062 867.5 40.1 10.43 2842.02 10.77 48.6
41 Dirty 03NOV2015 POP x64 : 2725.12 2413 35.8 376 978 1059 865.0 40.5 10.55 2842.04 10.77 48.6
42 EXchess 7.92b x64 : 2723.39 2413 35.6 337 1046 1030 860.0 43.3 10.14 2842.08 10.78 48.6
43 Rodent II 0.9.33 x64 : 2716.35 2413 34.8 358 963 1092 839.5 39.9 10.47 2842.22 10.77 48.6
44 Atlas 3.80 x64 : 2714.97 2413 34.6 354 963 1096 835.5 39.9 10.81 2842.25 10.77 48.6
45 Murka 3 x64 : 2710.98 2413 34.1 317 1014 1082 824.0 42.0 10.74 2842.33 10.77 48.6
46 DisasterArea 1.65 POP x64 : 2710.47 2413 34.1 307 1031 1075 822.5 42.7 10.96 2842.35 10.76 48.6
47 Nemo 1.01 Beta POP x64 : 2702.56 2413 33.2 323 954 1136 800.0 39.5 10.61 2842.51 10.77 48.6
48 Rhetoric 1.4.3 POP x64 : 2659.98 2413 28.3 261 844 1308 683.0 35.0 11.45 2843.39 10.75 48.6
49 Octochess r7533 DC x64 : 2659.40 2413 28.2 237 889 1287 681.5 36.8 10.96 2843.40 10.76 48.6
50 Laser 1.1 POP x64 : 2623.97 2413 24.5 188 807 1418 591.5 33.4 11.02 2844.14 10.76 48.6
----------------------------------------------------------------------------------------------------------------------------
White advantage = 33.09 +/- 1.10
Draw rate (equal opponents) = 51.65 % +/- 0.25
-
Frank Quisinsky
- Posts: 6811
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
Re: After round 19/50 (38%) = 3217.05 Elo, +17.13 (Nr.1)
Code: Select all
FCP Rating List (during a LIVE Test-Run)
----------------------------------------
Date : October 10th, 2016 (00:00)
Games : 59.731
Version : 4.36 Beta 3
Conditions : http://www.amateurschach.de/main/_conditions.htm
Generated with : Ordo 1.2.6 x64 (Ratings for chess and other games)
https://sites.google.com/site/gaviotachessengine/ordo
by Miguel A. Ballicora (Argentina)
***********************************************
Still running after round 19/50 = 38%
SF 18Sep2016 BMI2 x64 C10 = + 17.13 Elo
# Player : Elo Games Score% won draw lost Points Draw% Error OppAvg OppE OppD
----------------------------------------------------------------------------------------------------------------------------
1 SF 18Sep2016 BMI2 x64 C10 : 3217.05 931 87.7 704 225 2 816.5 24.2 24.78 2837.27 10.63 49.0
1 SF 18Sep2016 BMI2 x64 : 3199.92 2450 86.7 1808 630 12 2123.0 25.7 15.06 2837.97 10.57 49.0
****************************************************************************************************************************
# Player : Elo Games Score% won draw lost Points Draw% Error OppAvg OppE OppD
----------------------------------------------------------------------------------------------------------------------------
1 SF 18Sep2016 BMI2 x64 C10 : 3217.05 931 87.7 704 225 2 816.5 24.2 24.78 2837.27 10.63 49.0
2 Komodo 10 x64 : 3200.35 2419 87.2 1822 573 24 2108.5 23.7 14.90 2832.75 10.65 48.7
3 Houdini 4 STD B x64 : 3089.19 2419 78.8 1529 752 138 1905.0 31.1 12.09 2835.04 10.71 48.7
4 Fire 4 x64 : 3035.53 2419 73.6 1323 916 180 1781.0 37.9 12.13 2836.15 10.71 48.7
5 GullChess 3.0 BMI2 x64 : 3030.04 2419 73.1 1296 943 180 1767.5 39.0 11.34 2836.27 10.72 48.7
6 Andscacs 0.872 BMI2 x64 : 2999.34 2419 69.8 1187 1003 229 1688.5 41.5 10.59 2836.90 10.74 48.7
7 Equinox 3.30 x64 : 2995.93 2419 69.4 1143 1073 203 1679.5 44.4 10.84 2836.97 10.73 48.7
8 Fizbo 1.8 BMI2 x64 : 2990.18 2419 68.8 1156 1016 247 1664.0 42.0 10.90 2837.09 10.73 48.7
9 Critter 1.6a x64 : 2977.64 2419 67.4 1112 1036 271 1630.0 42.8 11.19 2837.35 10.72 48.7
10 Fritz 15 x64 : 2976.60 2419 67.3 1104 1046 269 1627.0 43.2 10.45 2837.37 10.74 48.7
11 Nirvanachess 2.3 POP x64 : 2957.12 2419 65.0 994 1157 268 1572.5 47.8 10.62 2837.77 10.74 48.7
12 Hannibal 1.7 x64 : 2953.28 2419 64.6 1022 1079 318 1561.5 44.6 10.68 2837.85 10.74 48.7
13 Chiron 3 x64 : 2945.95 2419 63.7 990 1101 328 1540.5 45.5 10.57 2838.00 10.74 48.7
14 Protector 1.9.0 x64 : 2932.74 2419 62.1 948 1108 363 1502.0 45.8 10.63 2838.28 10.74 48.7
15 Texel 1.06 x64 : 2928.98 2419 61.6 960 1062 397 1491.0 43.9 10.53 2838.35 10.74 48.7
16 iCE 3.0 v658 POP x64 : 2919.21 2419 60.4 941 1042 436 1462.0 43.1 10.28 2838.56 10.74 48.7
17 Booot 6.0.2 POP x64 : 2901.22 2419 58.2 826 1164 429 1408.0 48.1 10.32 2838.93 10.74 48.7
18 Naum 4.6 x64 : 2885.00 2419 56.2 796 1125 498 1358.5 46.5 10.42 2839.26 10.74 48.7
19 SmarThink 1.96 SSE4 x64 : 2878.48 2419 55.3 849 979 591 1338.5 40.5 10.32 2839.40 10.74 48.7
20 Hakkapeliitta TCEC v2 x64 : 2875.41 2419 54.9 812 1034 573 1329.0 42.7 10.10 2839.46 10.75 48.7
21 Vajolet2 2.2 POP x64 : 2833.10 2419 49.5 656 1083 680 1197.5 44.8 10.24 2840.34 10.74 48.7
22 Senpai 1.0 SSE42 x64 : 2831.83 2419 49.3 656 1075 688 1193.5 44.4 10.24 2840.36 10.74 48.7
23 Hiarcs 14 WCSC w32 : 2820.62 2419 47.9 630 1057 732 1158.5 43.7 10.15 2840.59 10.75 48.7
24 Pedone 1.4.1 BMI2 x64 : 2812.31 2419 46.8 539 1187 693 1132.5 49.1 10.90 2840.77 10.73 48.7
25 Cheng 4.39 x64 : 2801.39 2419 45.4 562 1073 784 1098.5 44.4 10.15 2840.99 10.75 48.7
----------------------------------------------------------------------------------------------------------------------------
26 Sjeng c't 2010 w32 : 2800.75 2419 45.3 588 1017 814 1096.5 42.0 9.75 2841.00 10.75 48.7
27 Shredder 12 x64 : 2797.05 2419 44.9 539 1092 788 1085.0 45.1 10.13 2841.08 10.75 48.7
28 Arasan 19.1 POP x64 : 2793.67 2419 44.4 546 1057 816 1074.5 43.7 10.23 2841.15 10.74 48.7
29 Junior 13.3.00 x64 : 2791.57 2419 44.2 558 1020 841 1068.0 42.2 10.29 2841.19 10.74 48.7
30 Wasp 1.25 BMI2 x64 : 2784.15 2419 43.2 499 1092 828 1045.0 45.1 10.04 2841.35 10.75 48.7
31 Spike 1.4 Leiden w32 : 2782.06 2419 42.9 519 1039 861 1038.5 43.0 10.44 2841.39 10.74 48.7
32 Quazar 0.4 x64 : 2773.60 2419 41.9 492 1041 886 1012.5 43.0 10.32 2841.57 10.74 48.7
33 DiscoCheck 5.2.1 x64 : 2770.66 2419 41.5 523 961 935 1003.5 39.7 10.11 2841.63 10.75 48.7
34 Bobcat 7.6 x64 : 2766.42 2419 40.9 451 1079 889 990.5 44.6 9.66 2841.71 10.76 48.7
35 Deuterium 14.3.34.130 POP x64 : 2757.05 2419 39.8 424 1076 919 962.0 44.5 10.67 2841.91 10.74 48.7
36 Zappa Mexico II x64 : 2751.76 2419 39.1 403 1086 930 946.0 44.9 10.15 2842.02 10.75 48.7
37 Spark 1.0 x64 : 2750.61 2419 39.0 433 1019 967 942.5 42.1 10.35 2842.04 10.74 48.7
38 TogaII 280513 Intel w32 : 2736.09 2419 37.2 420 958 1041 899.0 39.6 10.47 2842.34 10.74 48.7
39 Gaviota 1.0 AVX x64 : 2730.51 2419 36.5 423 919 1077 882.5 38.0 10.63 2842.46 10.74 48.7
40 Crafty 25.0.1 JA POP x64 : 2725.43 2419 35.9 384 967 1068 867.5 40.0 10.68 2842.56 10.74 48.7
41 Dirty 03NOV2015 POP x64 : 2724.94 2419 35.8 376 980 1063 866.0 40.5 10.33 2842.57 10.74 48.7
42 EXchess 7.92b x64 : 2723.21 2419 35.6 337 1048 1034 861.0 43.3 10.25 2842.61 10.74 48.7
43 Rodent II 0.9.33 x64 : 2715.83 2419 34.7 358 963 1098 839.5 39.8 10.44 2842.76 10.74 48.7
44 Atlas 3.80 x64 : 2714.45 2419 34.5 354 963 1102 835.5 39.8 10.18 2842.79 10.75 48.7
45 Murka 3 x64 : 2710.98 2419 34.1 317 1017 1085 825.5 42.0 10.99 2842.86 10.73 48.7
46 DisasterArea 1.65 POP x64 : 2709.95 2419 34.0 307 1031 1081 822.5 42.6 10.54 2842.88 10.74 48.7
47 Nemo 1.01 Beta POP x64 : 2702.05 2419 33.1 323 954 1142 800.0 39.4 10.32 2843.05 10.74 48.7
48 Rhetoric 1.4.3 POP x64 : 2659.48 2419 28.2 261 844 1314 683.0 34.9 10.76 2843.93 10.73 48.7
49 Octochess r7533 DC x64 : 2658.90 2419 28.2 237 889 1293 681.5 36.8 10.79 2843.94 10.73 48.7
50 Laser 1.1 POP x64 : 2623.48 2419 24.5 188 807 1424 591.5 33.4 11.50 2844.67 10.72 48.7
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White advantage = 33.13 +/- 1.14
Draw rate (equal opponents) = 51.67 % +/- 0.25
-
Frank Quisinsky
- Posts: 6811
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
Re: After round 24/50 (48%) = 3220.32 Elo, +20.40 (Nr.1)
Code: Select all
FCP Rating List (during a LIVE Test-Run)
----------------------------------------
Date : October 10th, 2016 (12:45)
Games : 59.976
Version : 4.36 Beta 4
Conditions : http://www.amateurschach.de/main/_conditions.htm
Generated with : Ordo 1.2.6 x64 (Ratings for chess and other games)
https://sites.google.com/site/gaviotachessengine/ordo
by Miguel A. Ballicora (Argentina)
***********************************************
Still running after round 24/50 = 48%
SF 18Sep2016 BMI2 x64 C10 = + 20.40 Elo
# Player : Elo Games Score% won draw lost Points Draw% Error OppAvg OppE OppD
----------------------------------------------------------------------------------------------------------------------------
1 SF 18Sep2016 BMI2 x64 C10 : 3220.32 1176 87.9 894 279 3 1033.5 23.7 22.35 2837.30 10.64 49.0
1 SF 18Sep2016 BMI2 x64 : 3199.92 2450 86.7 1808 630 12 2123.0 25.7 15.06 2837.97 10.57 49.0
****************************************************************************************************************************
# Player : Elo Games Score% won draw lost Points Draw% Error OppAvg OppE OppD
----------------------------------------------------------------------------------------------------------------------------
1 SF 18Sep2016 BMI2 x64 C10 : 3220.32 1176 87.9 894 279 3 1033.5 23.7 22.35 2837.30 10.64 49.0
2 Komodo 10 x64 : 3199.83 2424 87.0 1822 576 26 2110.0 23.8 15.14 2833.62 10.67 48.8
3 Houdini 4 STD B x64 : 3088.99 2424 78.6 1529 754 141 1906.0 31.1 12.59 2835.90 10.72 48.8
4 Fire 4 x64 : 3035.66 2424 73.5 1323 919 182 1782.5 37.9 11.44 2837.00 10.74 48.8
5 GullChess 3.0 BMI2 x64 : 3030.01 2424 73.0 1296 945 183 1768.5 39.0 11.29 2837.12 10.75 48.8
6 Andscacs 0.872 BMI2 x64 : 2999.16 2424 69.7 1187 1004 233 1689.0 41.4 11.17 2837.76 10.75 48.8
7 Equinox 3.30 x64 : 2995.60 2424 69.3 1143 1073 208 1679.5 44.3 10.63 2837.83 10.76 48.8
8 Fizbo 1.8 BMI2 x64 : 2990.57 2424 68.7 1156 1020 248 1666.0 42.1 10.84 2837.93 10.76 48.8
9 Critter 1.6a x64 : 2977.89 2424 67.3 1113 1037 274 1631.5 42.8 10.92 2838.19 10.75 48.8
10 Fritz 15 x64 : 2976.83 2424 67.2 1104 1049 271 1628.5 43.3 10.60 2838.22 10.76 48.8
11 Nirvanachess 2.3 POP x64 : 2957.22 2424 64.9 994 1159 271 1573.5 47.8 10.64 2838.62 10.76 48.8
12 Hannibal 1.7 x64 : 2953.19 2424 64.4 1022 1080 322 1562.0 44.6 10.46 2838.70 10.76 48.8
13 Chiron 3 x64 : 2945.89 2424 63.6 990 1102 332 1541.0 45.5 10.30 2838.85 10.77 48.8
14 Protector 1.9.0 x64 : 2932.68 2424 62.0 948 1109 367 1502.5 45.8 10.18 2839.13 10.77 48.8
15 Texel 1.06 x64 : 2929.11 2424 61.6 960 1064 400 1492.0 43.9 9.89 2839.20 10.78 48.8
16 iCE 3.0 v658 POP x64 : 2919.67 2424 60.4 941 1046 437 1464.0 43.2 10.68 2839.40 10.76 48.8
17 Booot 6.0.2 POP x64 : 2901.22 2424 58.1 826 1165 433 1408.5 48.1 10.30 2839.78 10.77 48.8
18 Naum 4.6 x64 : 2885.00 2424 56.1 796 1126 502 1359.0 46.5 9.70 2840.11 10.78 48.8
19 SmarThink 1.96 SSE4 x64 : 2878.34 2424 55.2 849 979 596 1338.5 40.4 10.13 2840.25 10.77 48.8
20 Hakkapeliitta TCEC v2 x64 : 2875.26 2424 54.8 812 1034 578 1329.0 42.7 10.38 2840.31 10.77 48.8
21 Vajolet2 2.2 POP x64 : 2833.16 2424 49.4 656 1084 684 1198.0 44.7 10.04 2841.18 10.77 48.8
22 Senpai 1.0 SSE42 x64 : 2832.04 2424 49.3 656 1077 691 1194.5 44.4 10.28 2841.20 10.77 48.8
23 Hiarcs 14 WCSC w32 : 2820.69 2424 47.8 630 1058 736 1159.0 43.6 10.45 2841.44 10.76 48.8
24 Pedone 1.4.1 BMI2 x64 : 2812.37 2424 46.7 539 1188 697 1133.0 49.0 10.14 2841.61 10.77 48.8
25 Cheng 4.39 x64 : 2801.47 2424 45.3 562 1074 788 1099.0 44.3 10.31 2841.83 10.77 48.8
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26 Sjeng c't 2010 w32 : 2800.99 2424 45.3 588 1019 817 1097.5 42.0 9.76 2841.84 10.78 48.8
27 Shredder 12 x64 : 2796.97 2424 44.8 539 1092 793 1085.0 45.0 10.02 2841.93 10.77 48.8
28 Arasan 19.1 POP x64 : 2794.07 2424 44.4 546 1060 818 1076.0 43.7 10.43 2841.99 10.76 48.8
29 Junior 13.3.00 x64 : 2791.66 2424 44.1 558 1021 845 1068.5 42.1 10.42 2842.04 10.76 48.8
30 Wasp 1.25 BMI2 x64 : 2784.07 2424 43.1 499 1092 833 1045.0 45.0 9.92 2842.19 10.77 48.8
31 Spike 1.4 Leiden w32 : 2781.99 2424 42.8 519 1039 866 1038.5 42.9 9.99 2842.24 10.77 48.8
32 Quazar 0.4 x64 : 2773.53 2424 41.8 492 1041 891 1012.5 42.9 9.96 2842.41 10.77 48.8
33 DiscoCheck 5.2.1 x64 : 2770.59 2424 41.4 523 961 940 1003.5 39.6 9.97 2842.47 10.77 48.8
34 Bobcat 7.6 x64 : 2766.68 2424 40.9 451 1081 892 991.5 44.6 10.99 2842.55 10.75 48.8
35 Deuterium 14.3.34.130 POP x64 : 2756.99 2424 39.7 424 1076 924 962.0 44.4 10.28 2842.75 10.77 48.8
36 Zappa Mexico II x64 : 2751.71 2424 39.0 403 1086 935 946.0 44.8 10.63 2842.86 10.76 48.8
37 Spark 1.0 x64 : 2750.55 2424 38.9 433 1019 972 942.5 42.0 10.67 2842.88 10.76 48.8
38 TogaII 280513 Intel w32 : 2736.03 2424 37.1 420 958 1046 899.0 39.5 10.07 2843.18 10.77 48.8
39 Gaviota 1.0 AVX x64 : 2730.64 2424 36.4 423 920 1081 883.0 38.0 10.36 2843.29 10.77 48.8
40 Crafty 25.0.1 JA POP x64 : 2725.38 2424 35.8 384 967 1073 867.5 39.9 10.45 2843.40 10.76 48.8
41 Dirty 03NOV2015 POP x64 : 2724.90 2424 35.7 376 980 1068 866.0 40.4 10.95 2843.41 10.75 48.8
42 EXchess 7.92b x64 : 2723.33 2424 35.5 337 1049 1038 861.5 43.3 10.25 2843.45 10.77 48.8
43 Rodent II 0.9.33 x64 : 2715.96 2424 34.7 358 964 1102 840.0 39.8 10.76 2843.60 10.76 48.8
44 Atlas 3.80 x64 : 2714.75 2424 34.5 354 965 1105 836.5 39.8 10.16 2843.62 10.77 48.8
45 Murka 3 x64 : 2711.12 2424 34.1 317 1018 1089 826.0 42.0 10.96 2843.70 10.75 48.8
46 DisasterArea 1.65 POP x64 : 2710.08 2424 34.0 307 1032 1085 823.0 42.6 11.07 2843.72 10.75 48.8
47 Nemo 1.01 Beta POP x64 : 2702.01 2424 33.0 323 954 1147 800.0 39.4 11.28 2843.89 10.75 48.8
48 Rhetoric 1.4.3 POP x64 : 2659.64 2424 28.2 261 845 1318 683.5 34.9 11.00 2844.76 10.75 48.8
49 Octochess r7533 DC x64 : 2658.88 2424 28.1 237 889 1298 681.5 36.7 11.13 2844.77 10.75 48.8
50 Laser 1.1 POP x64 : 2623.45 2424 24.4 188 807 1429 591.5 33.3 11.59 2845.51 10.74 48.8
----------------------------------------------------------------------------------------------------------------------------
White advantage = 33.22 +/- 1.05
Draw rate (equal opponents) = 51.69 % +/- 0.24
-
Modern Times
- Posts: 3557
- Joined: Thu Jun 07, 2012 11:02 pm
Re: After round 24/50 (48%) = 3220.32 Elo, +20.40 (Nr.1)
Decent jump in performance !