Hi there,
new for me is Laser 1.1 POP x64.
= Engine: 57
2.800 games are to play (need around 6 days).
2600 ELO (25%) seems to be possible, so I have to test it.
If you like to follow:
http://www.amateurschach.de/ftptrigger/ ... p-x64.html
Good luck!
Best
Frank
FCP Rating List: Laser 1.1 POP x64 is still running ...
Moderators: hgm, Rebel, chrisw
-
Frank Quisinsky
- Posts: 6808
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
-
jeffreyan11
- Posts: 46
- Joined: Sat Sep 12, 2015 5:23 am
- Location: United States
Re: FCP Rating List: Laser 1.1 POP x64 is still running ...
Thanks for the test, Frank! Good luck to Laser 
-
Frank Quisinsky
- Posts: 6808
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
Re: FCP Rating List: Laser 1.1 POP x64 is still running ...
Hi Jeffrey,
engine works fine here!
I am looking in the first 470 games in the last hours (must do that because with the games I have I optimate my opening book) and in much games live on my PCs.
- no "lost on time" games.
- time management is good.
With other words, no technical problems. For a new engine I have in my test sensational that engine have here no problems.
But I must replayed 6 games (bad opening lines ... my opening book works better and better ... around 1% of the games must be cancelt in my book, games are replayed). One game draw undo move number 20 ... such games are replayed too (draw undo move 20).
And to Laser ...
I think the style for around 2.630 Elo Laser have is very nice (also for self playing). Balanced between the playing phases. Only ... ligth to many games Laser lost in equal position around 5-10 moves after opening book because can't see danger tactical combinations vs. stronger opponents. I think most important is to improved the king safety a bit with many pieces on board. Of course, Laser is playing vs. very strong opponents here.
But all in all ... very nice new engine, nice for using in such bigger test-runs. I am very happy to have it in my group of test-run engines. Other programmer will like it too because an interesting opponents for the others in my list. Clear, Laser is in closed position a very hard figther. I saw it in a game vs. Fritz 15 ... during the game I am very sure Fritz will win ... but Laser won with different small strategic combinations.
Thanks for this very nice software.
First results after 20% in perhaps 3-4 hours ... means the first calculation. Sorry for my bad English ... here I have to improved a bit ... but I am to old for it and don't like the language.
Best
Frank
engine works fine here!
I am looking in the first 470 games in the last hours (must do that because with the games I have I optimate my opening book) and in much games live on my PCs.
- no "lost on time" games.
- time management is good.
With other words, no technical problems. For a new engine I have in my test sensational that engine have here no problems.
But I must replayed 6 games (bad opening lines ... my opening book works better and better ... around 1% of the games must be cancelt in my book, games are replayed). One game draw undo move number 20 ... such games are replayed too (draw undo move 20).
And to Laser ...
I think the style for around 2.630 Elo Laser have is very nice (also for self playing). Balanced between the playing phases. Only ... ligth to many games Laser lost in equal position around 5-10 moves after opening book because can't see danger tactical combinations vs. stronger opponents. I think most important is to improved the king safety a bit with many pieces on board. Of course, Laser is playing vs. very strong opponents here.
But all in all ... very nice new engine, nice for using in such bigger test-runs. I am very happy to have it in my group of test-run engines. Other programmer will like it too because an interesting opponents for the others in my list. Clear, Laser is in closed position a very hard figther. I saw it in a game vs. Fritz 15 ... during the game I am very sure Fritz will win ... but Laser won with different small strategic combinations.
Thanks for this very nice software.
First results after 20% in perhaps 3-4 hours ... means the first calculation. Sorry for my bad English ... here I have to improved a bit ... but I am to old for it and don't like the language.
Best
Frank
-
Frank Quisinsky
- Posts: 6808
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
Re: Two examples: 2x 1:0 vs. Fritz 15 !!
Hi Jeffrey,
not a secret that I don't like Rybka (engine have for the high Elo to many holes). Tactical holes and strategic holes ...
An example ...
First gams ... here I am sure Fritz will win but Laser used small advantages with an really very strong strategic playing styles (human view).
In the second game ... you can see that Rybka are easy to beat with a small tactical maneuver in the beginning of the game. But it's good to have Fritz for the commercial market (engine isn't on my TOP-30 of favorites).
Not important ... important is that Laser are playing great games here.
Best
Frank
[pgn][Event "FCP, 40/10, p=off, i7-4770k-5930k, 4GHz"]
[Site "Trier"]
[Date "2016.05.13"]
[Round "9.7"]
[White "Laser 1.1 POP x64"]
[Black "Fritz 15 x64"]
[Result "1-0"]
[ECO "A60"]
[PlyCount "237"]
[EventDate "2016.??.??"]
[EventType "rapid"]
[EventRounds "50"]
[EventCountry "GER"]
[Source "Frank Quisinsky"]
[SourceDate "2016.05.13"]
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]} c5 {[%eval 0,0] [%emt 0:00:00]} 3. d5 {[%eval 0,0]
[%emt 0:00:00]} e6 {[%eval 0,0] [%emt 0:00:00]} 4. Nc3 {[%eval 0,0] [%emt 0:00:
00]} d6 {[%eval 0,0] [%emt 0:00:00]} 5. Nf3 {[%eval 0,0] [%emt 0:00:00]} exd5 {
[%eval 0,0] [%emt 0:00:00]} 6. cxd5 {[%eval 0,0] [%emt 0:00:00]} Be7 {[%eval 0,
0] [%emt 0:00:00]} 7. e4 {[%eval 0,0] [%emt 0:00:00]} a6 {[%eval 0,0] [%emt 0:
00:00]} 8. a4 {[%eval 0,0] [%emt 0:00:00]} O-O {[%eval 0,0] [%emt 0:00:00]} 9.
Be2 {[%eval 0,0] [%emt 0:00:00]} Re8 {[%eval 0,0] [%emt 0:00:00]} 10. a5 {
[%eval 0,0] [%emt 0:00:00]} Bf8 {[%eval 0,0] [%emt 0:00:00]} 11. Qc2 {[%eval
65,18] [%emt 0:00:19]} Bg4 {[%eval 39,20] [%emt 0:00:23]} 12. h3 {[%eval 67,17]
[%emt 0:00:31] (O-O)} Bh5 {[%eval 43,20] [%emt 0:00:16]} 13. O-O {[%eval 69,18]
[%emt 0:00:20]} Nbd7 {[%eval 43,18] [%emt 0:00:20]} 14. Re1 {[%eval 68,18]
[%emt 0:00:18]} Qe7 {[%eval 44,17] [%emt 0:00:10]} 15. Ra3 {[%eval 63,17]
[%emt 0:00:45]} Bg6 {[%eval 46,17] [%emt 0:00:20]} 16. Bd3 {[%eval 68,18]
[%emt 0:00:17]} h6 {[%eval 43,17] [%emt 0:00:10]} 17. Nd2 {[%eval 76,17] [%emt
0:00:39] (Le3)} Rac8 {[%eval 35,17] [%emt 0:00:17]} 18. Ra1 {[%eval 82,17]
[%emt 0:00:44] (Lf1)} Nh5 {[%eval 22,18] [%emt 0:00:13]} 19. Re3 {[%eval 66,16]
[%emt 0:00:13] (Sc4)} Ne5 {[%eval 22,18] [%emt 0:00:14]} 20. Bf1 {[%eval 68,18]
[%emt 0:00:41]} Bh7 {[%eval 28,17] [%emt 0:00:11]} 21. Qd1 {[%eval 68,17]
[%emt 0:00:12]} g6 {[%eval 38,18] [%emt 0:00:09]} 22. g3 {[%eval 79,17] [%emt
0:00:20]} Bg7 {[%eval 38,18] [%emt 0:00:19]} 23. Re1 {[%eval 82,18] [%emt 0:00:
19] (Le2)} Rcd8 {[%eval 38,15] [%emt 0:00:16]} 24. Kg2 {[%eval 96,17] [%emt 0:
00:15]} Qg5 {[%eval 51,18] [%emt 0:00:08]} 25. Ndb1 {[%eval 117,19] [%emt 0:00:
16] (Sc4)} Qe7 {[%eval 71,19] [%emt 0:00:35]} 26. Be3 {[%eval 108,18] [%emt 0:
00:10]} Nd7 {[%eval 72,18] [%emt 0:00:16]} 27. Nd2 {[%eval 114,18] [%emt 0:00:
20]} Ra8 {[%eval 73,18] [%emt 0:00:16]} 28. Bd3 {[%eval 113,17] [%emt 0:00:13]}
Ne5 {[%eval 76,17] [%emt 0:00:10]} 29. Bc2 {[%eval 113,17] [%emt 0:00:25] (Le2)
} Qc7 {[%eval 84,18] [%emt 0:00:18]} 30. f4 {[%eval 123,19] [%emt 0:00:12]} Nd7
{[%eval 84,18] [%emt 0:00:22]} 31. Bd3 {[%eval 120,17] [%emt 0:00:17]} Qb8 {
[%eval 97,18] [%emt 0:00:50]} 32. Qc2 {[%eval 120,16] [%emt 0:00:14] (Sc4)} Qc7
{[%eval 88,19] [%emt 0:00:33]} 33. Bc4 {[%eval 119,17] [%emt 0:00:11] (Sc4)}
Bd4 {[%eval 70,17] [%emt 0:00:25]} 34. Bxd4 {[%eval 140,17] [%emt 0:00:10]
(Dd3)} cxd4 {[%eval 65,20] [%emt 0:00:19]} 35. Ne2 {[%eval 125,19] [%emt 0:00:
35]} g5 {[%eval 65,19] [%emt 0:00:19]} 36. f5 {[%eval 93,18] [%emt 0:00:25]}
Qc5 {[%eval 69,20] [%emt 0:00:19]} 37. Nb3 {[%eval 138,17] [%emt 0:00:05]} Qb4
{[%eval 59,19] [%emt 0:00:21]} 38. Nexd4 {[%eval 135,17] [%emt 0:00:06]} Nhf6 {
[%eval 69,19] [%emt 0:00:09]} 39. Nd2 {[%eval 132,15] [%emt 0:00:03]} Nc5 {
[%eval 69,19] [%emt 0:00:19]} 40. b3 {[%eval 137,14] [%emt 0:00:02] (S4f3)} Re7
{[%eval 26,18] [%emt 0:00:21]} 41. N4f3 {[%eval 141,16] [%emt 0:00:21]} Rae8 {
[%eval 26,18] [%emt 0:00:22]} 42. e5 {[%eval 73,16] [%emt 0:00:19]} g4 {
[%eval 26,18] [%emt 0:00:09]} 43. hxg4 {[%eval 31,16] [%emt 0:00:12]} Nxg4 {
[%eval 26,18] [%emt 0:00:21]} 44. e6 {[%eval 69,18] [%emt 0:00:22]} Rf8 {
[%eval 44,19] [%emt 0:01:32]} 45. Qb2 {[%eval 64,17] [%emt 0:00:17] (Sh4)} Bxf5
{[%eval 26,16] [%emt 0:00:31]} 46. Qd4 {[%eval 52,17] [%emt 0:00:17]} fxe6 {
[%eval 66,17] [%emt 0:00:13]} 47. dxe6 {[%eval 76,15] [%emt 0:00:01]} Nd3 {
[%eval 67,18] [%emt 0:00:17]} 48. Bxd3 {[%eval 89,19] [%emt 0:00:13]} Qxd4 {
[%eval 67,19] [%emt 0:00:09]} 49. Nxd4 {[%eval 88,17] [%emt 0:00:01]} Bxd3 {
[%eval 67,19] [%emt 0:00:14]} 50. Ne4 {[%eval 88,20] [%emt 0:00:25]} Bxe4+ {
[%eval 71,19] [%emt 0:00:09]} 51. Rxe4 {[%eval 101,14] [%emt 0:00:01]} Ne5 {
[%eval 71,21] [%emt 0:00:05]} 52. Rd1 {[%eval 100,16] [%emt 0:00:13] (Th1)} Kh7
{[%eval 65,21] [%emt 0:00:10]} 53. Rf4 {[%eval 94,17] [%emt 0:00:12]} Rd8 {
[%eval 71,21] [%emt 0:00:05]} 54. Rh1 {[%eval 92,17] [%emt 0:00:13]} Rh8 {
[%eval 71,21] [%emt 0:00:06]} 55. Rhf1 {[%eval 89,17] [%emt 0:00:25]} Rhe8 {
[%eval 71,22] [%emt 0:00:05]} 56. Rf6 {[%eval 90,17] [%emt 0:00:13] (Tc1)} Kg7
{[%eval 83,20] [%emt 0:00:10]} 57. R6f2 {[%eval 88,18] [%emt 0:00:13] (Kh3)}
Kg8 {[%eval 78,20] [%emt 0:00:09]} 58. Rd1 {[%eval 90,19] [%emt 0:00:16] (Tc2)}
Ng4 {[%eval 80,20] [%emt 0:00:15]} 59. Rf3 {[%eval 89,18] [%emt 0:00:11]} Rc7 {
[%eval 81,20] [%emt 0:00:12]} 60. Kh3 {[%eval 90,18] [%emt 0:00:31] (Tdf1)} Ne5
{[%eval 114,21] [%emt 0:00:23]} 61. Rf6 {[%eval 88,19] [%emt 0:00:18]} Kg7 {
[%eval 114,22] [%emt 0:00:08]} 62. Rdf1 {[%eval 89,18] [%emt 0:00:13]} Ree7 {
[%eval 118,22] [%emt 0:00:21]} 63. R6f4 {[%eval 108,19] [%emt 0:00:13]} Re8 {
[%eval 113,22] [%emt 0:00:10]} 64. Nf5+ {[%eval 111,19] [%emt 0:00:22] (e7)}
Kg6 {[%eval 113,21] [%emt 0:00:19]} 65. e7 {[%eval 112,18] [%emt 0:00:24]} d5 {
[%eval 123,22] [%emt 0:00:30]} 66. R1f2 {[%eval 122,17] [%emt 0:00:10] (Td4)}
Rc5 {[%eval 117,21] [%emt 0:00:16]} 67. Rd2 {[%eval 143,16] [%emt 0:00:12]}
Rxa5 {[%eval 117,21] [%emt 0:00:09]} 68. b4 {[%eval 140,18] [%emt 0:00:24]} Ra1
{[%eval 117,22] [%emt 0:00:09]} 69. Rxd5 {[%eval 150,18] [%emt 0:00:17]} Nf7 {
[%eval 117,22] [%emt 0:00:06]} 70. Rd7 {[%eval 149,16] [%emt 0:00:09] (Sh4+)}
b5 {[%eval 117,20] [%emt 0:00:21]} 71. Kg2 {[%eval 151,16] [%emt 0:00:19] (Tb7)
} Ra2+ {[%eval 119,19] [%emt 0:00:08]} 72. Kf1 {[%eval 144,16] [%emt 0:00:10]}
Rc2 {[%eval 124,18] [%emt 0:00:04]} 73. Nd4 {[%eval 180,15] [%emt 0:00:12]
(Sh4+)} Rc1+ {[%eval 185,17] [%emt 0:00:10]} 74. Ke2 {[%eval 224,16] [%emt 0:
00:13] (Kf2)} Rcc8 {[%eval 242,17] [%emt 0:00:14]} 75. Rg4+ {[%eval 225,17]
[%emt 0:00:14] (Ta7)} Kf6 {[%eval 294,18] [%emt 0:00:12]} 76. Re4 {[%eval 253,
16] [%emt 0:00:10]} Ng5 {[%eval 299,18] [%emt 0:00:06]} 77. Rf4+ {[%eval 294,
17] [%emt 0:00:10]} Kg7 {[%eval 338,20] [%emt 0:00:06]} 78. Nf5+ {[%eval 304,
18] [%emt 0:00:10]} Kf6 {[%eval 348,21] [%emt 0:00:07]} 79. Ra7 {[%eval 319,17]
[%emt 0:00:10]} Nh3 {[%eval 354,21] [%emt 0:00:21]} 80. Rxa6+ {[%eval 316,16]
[%emt 0:00:00]} Kg5 {[%eval 382,22] [%emt 0:00:17]} 81. Nd6 {[%eval 326,19]
[%emt 0:00:17]} Rxe7+ {[%eval 397,22] [%emt 0:00:22]} 82. Ne4+ {[%eval 333,17]
[%emt 0:00:02]} Rxe4+ {[%eval 412,23] [%emt 0:00:21]} 83. Rxe4 {[%eval 340,18]
[%emt 0:00:13]} Kf5 {[%eval 412,22] [%emt 0:00:20]} 84. Rae6 {[%eval 382,18]
[%emt 0:00:16]} Rc2+ {[%eval 412,21] [%emt 0:00:19]} 85. Kf1 {[%eval 399,19]
[%emt 0:00:21] (Kd3)} Rf2+ {[%eval 382,21] [%emt 0:00:13]} 86. Ke1 {[%eval 363,
15] [%emt 0:00:01]} Rg2 {[%eval 382,21] [%emt 0:00:18]} 87. R4e5+ {[%eval 431,
21] [%emt 0:00:29]} Kg4 {[%eval 382,20] [%emt 0:00:00]} 88. Rxh6 {[%eval 448,
21] [%emt 0:00:35]} Rg1+ {[%eval 411,21] [%emt 0:00:07]} 89. Kd2 {[%eval 453,
20] [%emt 0:00:23]} Rg2+ {[%eval 412,22] [%emt 0:00:17]} 90. Kc3 {[%eval 455,
20] [%emt 0:00:12] (Kd3)} Rxg3+ {[%eval 412,22] [%emt 0:00:30]} 91. Kd4 {
[%eval 456,18] [%emt 0:00:12]} Nf4 {[%eval 440,21] [%emt 0:00:09]} 92. Rh7 {
[%eval 457,17] [%emt 0:00:12] (Txb5)} Rb3 {[%eval 398,19] [%emt 0:00:13]} 93.
Rxb5 {[%eval 460,15] [%emt 0:00:00]} Ne2+ {[%eval 398,18] [%emt 0:00:15]} 94.
Kc5 {[%eval 474,16] [%emt 0:00:31]} Rc3+ {[%eval 433,18] [%emt 0:00:11]} 95.
Kd6 {[%eval 498,17] [%emt 0:00:16]} Nf4 {[%eval 440,18] [%emt 0:00:19]} 96. Re5
{[%eval 554,17] [%emt 0:00:18]} Rd3+ {[%eval 493,19] [%emt 0:00:06]} 97. Kc6 {
[%eval 573,17] [%emt 0:00:21]} Rc3+ {[%eval 493,18] [%emt 0:00:13]} 98. Kb6 {
[%eval 576,18] [%emt 0:00:17] (Kb7)} Rc8 {[%eval 585,17] [%emt 0:00:09]} 99.
Rg7+ {[%eval 813,18] [%emt 0:00:15] (b5)} Kf3 {[%eval 706,20] [%emt 0:00:11]}
100. Rf7 {[%eval 820,16] [%emt 0:00:01]} Rb8+ {[%eval 793,21] [%emt 0:00:08]}
101. Kc5 {[%eval 829,16] [%emt 0:00:01]} Rc8+ {[%eval 809,22] [%emt 0:00:05]}
102. Kb5 {[%eval 821,15] [%emt 0:00:01]} Rb8+ {[%eval 864,21] [%emt 0:00:16]}
103. Kc4 {[%eval 1004,19] [%emt 0:00:19]} Rc8+ {[%eval 864,19] [%emt 0:00:14]}
104. Rc5 {[%eval 1004,16] [%emt 0:00:02]} Re8 {[%eval 864,18] [%emt 0:00:14]}
105. Rcf5 {[%eval 1019,15] [%emt 0:00:01]} Rc8+ {[%eval 1017,19] [%emt 0:00:15]
} 106. Kb3 {[%eval 1184,11] [%emt 0:00:05] (Kb5)} Ke4 {[%eval 1813,20] [%emt 0:
00:19]} 107. Rxf4+ {[%eval 1068,15] [%emt 0:00:03]} Kd3 {[%eval 2021,22] [%emt
0:00:08]} 108. b5 {[%eval 1617,15] [%emt 0:00:03]} Rc1 {[%eval 32724,22] [%emt
0:00:09]} 109. Rd7+ {[%eval 9988,18] [%emt 0:00:01] (Kb4)} Ke3 {[%eval 32744,
26] [%emt 0:00:13]} 110. Rdd4 {[%eval 32748,20] [%emt 0:00:18] (Tf8)} Rc8 {
[%eval 32752,33] [%emt 0:00:15]} 111. b6 {[%eval 32750,23] [%emt 0:00:22]} Rb8
{[%eval 32754,30] [%emt 0:00:16]} 112. Kc2 {[%eval 32752,27] [%emt 0:00:19]}
Rc8+ {[%eval 32756,35] [%emt 0:00:17]} 113. Rc4 {[%eval 32754,25] [%emt 0:00:
22]} Rxc4+ {[%eval 32756,40] [%emt 0:00:08]} 114. Rxc4 {[%eval 32756,25] [%emt
0:00:20]} Kf3 {[%eval 32758,62] [%emt 0:00:00]} 115. b7 {[%eval 32758,23]
[%emt 0:00:19]} Kg2 {[%eval 32760,62] [%emt 0:00:00]} 116. b8=Q {[%eval 32760,
24] [%emt 0:00:22]} Kf3 {[%eval 32762,62] [%emt 0:00:00]} 117. Qh2 {[%eval
32762,25] [%emt 0:00:26] (Db3+)} Ke3 {[%eval 32764,15] [%emt 0:00:00]} 118.
Qf4+ {[%eval 32764,127] [%emt 0:00:00]} Ke2 {[%eval 32766,44] [%emt 0:00:00]}
119. Re4# {[%eval 32766,127] [%emt 0:00:00]} 1-0[/pgn]
[pgn][Event "FCP, 40/10, p=off, i7-4770k-5930k, 4GHz"]
[Site "Trier"]
[Date "2016.05.12"]
[Round "6.7"]
[White "Fritz 15 x64"]
[Black "Laser 1.1 POP x64"]
[Result "0-1"]
[ECO "B66"]
[PlyCount "176"]
[EventDate "2016.??.??"]
[EventType "rapid"]
[EventRounds "50"]
[EventCountry "GER"]
[Source "Frank Quisinsky"]
[SourceDate "2016.05.13"]
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]} d6 {[%eval 0,0] [%emt 0:00:00]} 3. d4 {[%eval 0,0]
[%emt 0:00:00]} Nf6 {[%eval 0,0] [%emt 0:00:00]} 4. Nc3 {[%eval 0,0] [%emt 0:
00:00]} cxd4 {[%eval 0,0] [%emt 0:00:00]} 5. Nxd4 {[%eval 0,0] [%emt 0:00:00]}
Nc6 {[%eval 0,0] [%emt 0:00:00]} 6. Bg5 {[%eval 0,0] [%emt 0:00:00]} e6 {
[%eval 0,0] [%emt 0:00:00]} 7. Qd2 {[%eval 0,0] [%emt 0:00:00]} h6 {[%eval 0,0]
[%emt 0:00:00]} 8. Be3 {[%eval 0,0] [%emt 0:00:00]} a6 {[%eval 0,0] [%emt 0:00:
00]} 9. O-O-O {[%eval 0,0] [%emt 0:00:00]} Qc7 {[%eval 0,0] [%emt 0:00:00]} 10.
f4 {[%eval 0,0] [%emt 0:00:00]} Bd7 {[%eval 0,0] [%emt 0:00:00]} 11. Be2 {
[%eval 0,0] [%emt 0:00:00]} b5 {[%eval 0,0] [%emt 0:00:00]} 12. a3 {[%eval 0,0]
[%emt 0:00:00]} b4 {[%eval 0,0] [%emt 0:00:00]} 13. axb4 {[%eval 30,18] [%emt
0:00:14]} Nxb4 {[%eval 45,18] [%emt 0:00:23]} 14. Bf3 {[%eval 16,18] [%emt 0:
00:15]} e5 {[%eval 28,17] [%emt 0:00:24] (Tb8)} 15. fxe5 {[%eval 10,16] [%emt
0:00:15]} dxe5 {[%eval 24,14] [%emt 0:00:01]} 16. Nf5 {[%eval 1,18] [%emt 0:00:
11]} Rc8 {[%eval -20,16] [%emt 0:00:17] (Lxf5)} 17. Kb1 {[%eval 1,17] [%emt 0:
00:36]} Qa5 {[%eval -44,17] [%emt 0:00:34]} 18. Ng3 {[%eval -56,14] [%emt 0:00:
08]} Be6 {[%eval -105,17] [%emt 0:00:16]} 19. Nh5 {[%eval -68,17] [%emt 0:00:
20]} Nxh5 {[%eval -123,18] [%emt 0:00:26] (La2+)} 20. Bxh5 {[%eval -77,18]
[%emt 0:00:35]} Rc6 {[%eval -179,17] [%emt 0:00:24] (Sa2)} 21. Rhf1 {[%eval
-188,13] [%emt 0:00:14]} Bd6 {[%eval -157,18] [%emt 0:00:27]} 22. b3 {[%eval
-194,15] [%emt 0:00:08]} O-O {[%eval -250,18] [%emt 0:00:24] (g6)} 23. Na4 {
[%eval -259,15] [%emt 0:00:36]} Rxc2 {[%eval -256,15] [%emt 0:00:01] (Tb8)} 24.
Bxf7+ {[%eval -212,18] [%emt 0:00:13]} Rxf7 {[%eval -264,16] [%emt 0:00:02]}
25. Qxd6 {[%eval -214,20] [%emt 0:00:17]} Bxb3 {[%eval -252,17] [%emt 0:00:02]}
26. Rxf7 {[%eval -214,20] [%emt 0:00:19]} Ba2+ {[%eval -254,21] [%emt 0:00:24]}
27. Ka1 {[%eval -214,13] [%emt 0:00:00]} Bxf7 {[%eval -254,19] [%emt 0:00:02]}
28. Qd8+ {[%eval -202,22] [%emt 0:00:22]} Qxd8 {[%eval -254,20] [%emt 0:00:03]}
29. Rxd8+ {[%eval -213,22] [%emt 0:00:22]} Kh7 {[%eval -254,21] [%emt 0:00:03]}
30. Rd2 {[%eval -213,23] [%emt 0:00:22]} Rc4 {[%eval -250,21] [%emt 0:00:29]}
31. Bf2 {[%eval -206,23] [%emt 0:00:09]} Rxe4 {[%eval -248,21] [%emt 0:00:44]}
32. Nc5 {[%eval -211,23] [%emt 0:00:17]} Rc4 {[%eval -250,18] [%emt 0:00:30]}
33. Nd7 {[%eval -222,22] [%emt 0:00:30]} e4 {[%eval -259,19] [%emt 0:00:32]
(Sc6)} 34. Ne5 {[%eval -231,21] [%emt 0:00:39]} Rc7 {[%eval -269,20] [%emt 0:
00:32]} 35. Kb2 {[%eval -231,20] [%emt 0:00:24]} Be6 {[%eval -274,17] [%emt 0:
00:32] (a5)} 36. g4 {[%eval -237,18] [%emt 0:00:20]} Rb7 {[%eval -284,17]
[%emt 0:00:23] (a5)} 37. Bg3 {[%eval -260,20] [%emt 0:00:19]} Nc6+ {[%eval
-358,19] [%emt 0:00:19] (Sd5+)} 38. Kc1 {[%eval -245,21] [%emt 0:00:22]} Nxe5 {
[%eval -367,20] [%emt 0:00:29]} 39. Bxe5 {[%eval -245,23] [%emt 0:00:16]} Bxg4
{[%eval -372,20] [%emt 0:00:29]} 40. Bd4 {[%eval -245,22] [%emt 0:00:32]} Rb3 {
[%eval -372,16] [%emt 0:00:08] (g5)} 41. Rg2 {[%eval -274,20] [%emt 0:00:20]}
Rd3 {[%eval -381,19] [%emt 0:00:22]} 42. Be5 {[%eval -276,21] [%emt 0:00:14]}
h5 {[%eval -387,18] [%emt 0:00:11]} 43. Kc2 {[%eval -276,21] [%emt 0:00:21]}
Rh3 {[%eval -411,18] [%emt 0:00:16] (g5)} 44. Rg1 {[%eval -288,21] [%emt 0:00:
37]} e3 {[%eval -424,18] [%emt 0:00:11]} 45. Kc3 {[%eval -333,21] [%emt 0:00:
20]} Rf3 {[%eval -435,17] [%emt 0:00:11] (g5)} 46. Re1 {[%eval -416,22] [%emt
0:00:30]} e2+ {[%eval -436,16] [%emt 0:00:01]} 47. Kd2 {[%eval -416,21] [%emt
0:00:29]} Rb3 {[%eval -450,18] [%emt 0:00:38] (Tf1)} 48. Bc3 {[%eval -310,20]
[%emt 0:00:11]} g5 {[%eval -453,19] [%emt 0:00:15]} 49. Rh1 {[%eval -325,20]
[%emt 0:00:24]} Rb6 {[%eval -452,18] [%emt 0:00:27]} 50. Re1 {[%eval -339,20]
[%emt 0:00:15]} Kg6 {[%eval -458,17] [%emt 0:00:15]} 51. Ke3 {[%eval -339,19]
[%emt 0:00:26]} h4 {[%eval -473,19] [%emt 0:00:12] (Tb3)} 52. Ra1 {[%eval -340,
19] [%emt 0:00:24]} Re6+ {[%eval -492,19] [%emt 0:00:24] (Tb3)} 53. Kf2 {
[%eval -383,21] [%emt 0:00:18]} Rc6 {[%eval -503,18] [%emt 0:00:23] (Td6)} 54.
Bd4 {[%eval -395,21] [%emt 0:00:10]} a5 {[%eval -528,17] [%emt 0:00:12] (Td6)}
55. Rg1 {[%eval -413,18] [%emt 0:00:21]} Kh5 {[%eval -548,19] [%emt 0:00:10]}
56. h3 {[%eval -472,18] [%emt 0:00:08]} Bxh3 {[%eval -563,18] [%emt 0:00:11]}
57. Kxe2 {[%eval -472,19] [%emt 0:00:03]} Bg4+ {[%eval -568,19] [%emt 0:00:19]}
58. Kd3 {[%eval -472,18] [%emt 0:00:11]} Re6 {[%eval -575,18] [%emt 0:00:15]}
59. Ra1 {[%eval -515,18] [%emt 0:00:10]} h3 {[%eval -582,18] [%emt 0:00:25]}
60. Ba7 {[%eval -564,19] [%emt 0:00:07]} a4 {[%eval -593,18] [%emt 0:00:11]
(Le2+)} 61. Bb8 {[%eval -574,18] [%emt 0:00:15]} Bf5+ {[%eval -596,19] [%emt 0:
00:13]} 62. Kd2 {[%eval -596,18] [%emt 0:00:04]} Ra6 {[%eval -657,20] [%emt 0:
00:12] (Te4)} 63. Ra3 {[%eval -664,17] [%emt 0:00:12]} Rb6 {[%eval -693,21]
[%emt 0:00:35]} 64. Be5 {[%eval -664,17] [%emt 0:00:05]} Rb5 {[%eval -740,17]
[%emt 0:00:01]} 65. Bg3 {[%eval -787,19] [%emt 0:00:04]} Rb2+ {[%eval -756,18]
[%emt 0:00:01]} 66. Kc3 {[%eval -819,19] [%emt 0:00:06]} h2 {[%eval -797,19]
[%emt 0:00:13]} 67. Bxh2 {[%eval -931,20] [%emt 0:00:05]} Rc2+ {[%eval -805,17]
[%emt 0:00:02] (Txh2)} 68. Kd4 {[%eval -931,21] [%emt 0:00:14]} Rxh2 {[%eval
-800,16] [%emt 0:00:01]} 69. Ra1 {[%eval -1020,21] [%emt 0:00:24]} Re2 {
[%eval -889,19] [%emt 0:00:15] (g4)} 70. Rh1+ {[%eval -1020,21] [%emt 0:00:15]}
Kg6 {[%eval -878,16] [%emt 0:00:01]} 71. Ra1 {[%eval -1030,22] [%emt 0:00:04]}
g4 {[%eval -983,17] [%emt 0:00:02]} 72. Ra3 {[%eval -1080,23] [%emt 0:00:19]}
Kg5 {[%eval -1000,16] [%emt 0:00:01]} 73. Kc5 {[%eval -1080,22] [%emt 0:00:08]}
Bc2 {[%eval -1079,15] [%emt 0:00:01] (Th2)} 74. Kb4 {[%eval -1579,20] [%emt 0:
00:16]} Kf4 {[%eval -1542,16] [%emt 0:00:03]} 75. Ra1 {[%eval -1579,19] [%emt
0:00:14]} g3 {[%eval -9968,11] [%emt 0:00:10]} 76. Rf1+ {[%eval -32739,18]
[%emt 0:00:09]} Rf2 {[%eval -10029,19] [%emt 0:00:03] (Ke3)} 77. Rg1 {[%eval
-32741,20] [%emt 0:00:14]} g2 {[%eval -32743,23] [%emt 0:00:36]} 78. Ka3 {
[%eval -32743,24] [%emt 0:00:07]} Be4 {[%eval -32745,24] [%emt 0:00:29] (Te2)}
79. Kxa4 {[%eval -32749,27] [%emt 0:00:12]} Rf1 {[%eval -32747,23] [%emt 0:00:
42]} 80. Rxg2 {[%eval -32749,28] [%emt 0:00:14]} Bxg2 {[%eval -32749,21] [%emt
0:00:20]} 81. Kb5 {[%eval -32751,28] [%emt 0:00:10]} Ke5 {[%eval -32751,19]
[%emt 0:00:16] (Tc1)} 82. Kc4 {[%eval -32753,30] [%emt 0:00:17]} Bd5+ {[%eval
-32753,19] [%emt 0:00:12]} 83. Kd3 {[%eval -32755,33] [%emt 0:00:08]} Rf3+ {
[%eval -32755,20] [%emt 0:00:11]} 84. Kc2 {[%eval -32757,36] [%emt 0:00:08]}
Kd4 {[%eval -32757,22] [%emt 0:00:15]} 85. Kd2 {[%eval -32759,41] [%emt 0:00:
09]} Bc4 {[%eval -32759,24] [%emt 0:00:13]} 86. Kc2 {[%eval -32761,47] [%emt 0:
00:09]} Rf2+ {[%eval -32761,30] [%emt 0:00:12]} 87. Kd1 {[%eval -32763,50]
[%emt 0:00:08]} Kc3 {[%eval -32763,127] [%emt 0:00:00]} 88. Kc1 {[%eval -32765,
60] [%emt 0:00:10]} Rf1# {[%eval -32765,127] [%emt 0:00:00]} 0-1
[/pgn]
not a secret that I don't like Rybka (engine have for the high Elo to many holes). Tactical holes and strategic holes ...
An example ...
First gams ... here I am sure Fritz will win but Laser used small advantages with an really very strong strategic playing styles (human view).
In the second game ... you can see that Rybka are easy to beat with a small tactical maneuver in the beginning of the game. But it's good to have Fritz for the commercial market (engine isn't on my TOP-30 of favorites).
Not important ... important is that Laser are playing great games here.
Best
Frank
[pgn][Event "FCP, 40/10, p=off, i7-4770k-5930k, 4GHz"]
[Site "Trier"]
[Date "2016.05.13"]
[Round "9.7"]
[White "Laser 1.1 POP x64"]
[Black "Fritz 15 x64"]
[Result "1-0"]
[ECO "A60"]
[PlyCount "237"]
[EventDate "2016.??.??"]
[EventType "rapid"]
[EventRounds "50"]
[EventCountry "GER"]
[Source "Frank Quisinsky"]
[SourceDate "2016.05.13"]
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]} c5 {[%eval 0,0] [%emt 0:00:00]} 3. d5 {[%eval 0,0]
[%emt 0:00:00]} e6 {[%eval 0,0] [%emt 0:00:00]} 4. Nc3 {[%eval 0,0] [%emt 0:00:
00]} d6 {[%eval 0,0] [%emt 0:00:00]} 5. Nf3 {[%eval 0,0] [%emt 0:00:00]} exd5 {
[%eval 0,0] [%emt 0:00:00]} 6. cxd5 {[%eval 0,0] [%emt 0:00:00]} Be7 {[%eval 0,
0] [%emt 0:00:00]} 7. e4 {[%eval 0,0] [%emt 0:00:00]} a6 {[%eval 0,0] [%emt 0:
00:00]} 8. a4 {[%eval 0,0] [%emt 0:00:00]} O-O {[%eval 0,0] [%emt 0:00:00]} 9.
Be2 {[%eval 0,0] [%emt 0:00:00]} Re8 {[%eval 0,0] [%emt 0:00:00]} 10. a5 {
[%eval 0,0] [%emt 0:00:00]} Bf8 {[%eval 0,0] [%emt 0:00:00]} 11. Qc2 {[%eval
65,18] [%emt 0:00:19]} Bg4 {[%eval 39,20] [%emt 0:00:23]} 12. h3 {[%eval 67,17]
[%emt 0:00:31] (O-O)} Bh5 {[%eval 43,20] [%emt 0:00:16]} 13. O-O {[%eval 69,18]
[%emt 0:00:20]} Nbd7 {[%eval 43,18] [%emt 0:00:20]} 14. Re1 {[%eval 68,18]
[%emt 0:00:18]} Qe7 {[%eval 44,17] [%emt 0:00:10]} 15. Ra3 {[%eval 63,17]
[%emt 0:00:45]} Bg6 {[%eval 46,17] [%emt 0:00:20]} 16. Bd3 {[%eval 68,18]
[%emt 0:00:17]} h6 {[%eval 43,17] [%emt 0:00:10]} 17. Nd2 {[%eval 76,17] [%emt
0:00:39] (Le3)} Rac8 {[%eval 35,17] [%emt 0:00:17]} 18. Ra1 {[%eval 82,17]
[%emt 0:00:44] (Lf1)} Nh5 {[%eval 22,18] [%emt 0:00:13]} 19. Re3 {[%eval 66,16]
[%emt 0:00:13] (Sc4)} Ne5 {[%eval 22,18] [%emt 0:00:14]} 20. Bf1 {[%eval 68,18]
[%emt 0:00:41]} Bh7 {[%eval 28,17] [%emt 0:00:11]} 21. Qd1 {[%eval 68,17]
[%emt 0:00:12]} g6 {[%eval 38,18] [%emt 0:00:09]} 22. g3 {[%eval 79,17] [%emt
0:00:20]} Bg7 {[%eval 38,18] [%emt 0:00:19]} 23. Re1 {[%eval 82,18] [%emt 0:00:
19] (Le2)} Rcd8 {[%eval 38,15] [%emt 0:00:16]} 24. Kg2 {[%eval 96,17] [%emt 0:
00:15]} Qg5 {[%eval 51,18] [%emt 0:00:08]} 25. Ndb1 {[%eval 117,19] [%emt 0:00:
16] (Sc4)} Qe7 {[%eval 71,19] [%emt 0:00:35]} 26. Be3 {[%eval 108,18] [%emt 0:
00:10]} Nd7 {[%eval 72,18] [%emt 0:00:16]} 27. Nd2 {[%eval 114,18] [%emt 0:00:
20]} Ra8 {[%eval 73,18] [%emt 0:00:16]} 28. Bd3 {[%eval 113,17] [%emt 0:00:13]}
Ne5 {[%eval 76,17] [%emt 0:00:10]} 29. Bc2 {[%eval 113,17] [%emt 0:00:25] (Le2)
} Qc7 {[%eval 84,18] [%emt 0:00:18]} 30. f4 {[%eval 123,19] [%emt 0:00:12]} Nd7
{[%eval 84,18] [%emt 0:00:22]} 31. Bd3 {[%eval 120,17] [%emt 0:00:17]} Qb8 {
[%eval 97,18] [%emt 0:00:50]} 32. Qc2 {[%eval 120,16] [%emt 0:00:14] (Sc4)} Qc7
{[%eval 88,19] [%emt 0:00:33]} 33. Bc4 {[%eval 119,17] [%emt 0:00:11] (Sc4)}
Bd4 {[%eval 70,17] [%emt 0:00:25]} 34. Bxd4 {[%eval 140,17] [%emt 0:00:10]
(Dd3)} cxd4 {[%eval 65,20] [%emt 0:00:19]} 35. Ne2 {[%eval 125,19] [%emt 0:00:
35]} g5 {[%eval 65,19] [%emt 0:00:19]} 36. f5 {[%eval 93,18] [%emt 0:00:25]}
Qc5 {[%eval 69,20] [%emt 0:00:19]} 37. Nb3 {[%eval 138,17] [%emt 0:00:05]} Qb4
{[%eval 59,19] [%emt 0:00:21]} 38. Nexd4 {[%eval 135,17] [%emt 0:00:06]} Nhf6 {
[%eval 69,19] [%emt 0:00:09]} 39. Nd2 {[%eval 132,15] [%emt 0:00:03]} Nc5 {
[%eval 69,19] [%emt 0:00:19]} 40. b3 {[%eval 137,14] [%emt 0:00:02] (S4f3)} Re7
{[%eval 26,18] [%emt 0:00:21]} 41. N4f3 {[%eval 141,16] [%emt 0:00:21]} Rae8 {
[%eval 26,18] [%emt 0:00:22]} 42. e5 {[%eval 73,16] [%emt 0:00:19]} g4 {
[%eval 26,18] [%emt 0:00:09]} 43. hxg4 {[%eval 31,16] [%emt 0:00:12]} Nxg4 {
[%eval 26,18] [%emt 0:00:21]} 44. e6 {[%eval 69,18] [%emt 0:00:22]} Rf8 {
[%eval 44,19] [%emt 0:01:32]} 45. Qb2 {[%eval 64,17] [%emt 0:00:17] (Sh4)} Bxf5
{[%eval 26,16] [%emt 0:00:31]} 46. Qd4 {[%eval 52,17] [%emt 0:00:17]} fxe6 {
[%eval 66,17] [%emt 0:00:13]} 47. dxe6 {[%eval 76,15] [%emt 0:00:01]} Nd3 {
[%eval 67,18] [%emt 0:00:17]} 48. Bxd3 {[%eval 89,19] [%emt 0:00:13]} Qxd4 {
[%eval 67,19] [%emt 0:00:09]} 49. Nxd4 {[%eval 88,17] [%emt 0:00:01]} Bxd3 {
[%eval 67,19] [%emt 0:00:14]} 50. Ne4 {[%eval 88,20] [%emt 0:00:25]} Bxe4+ {
[%eval 71,19] [%emt 0:00:09]} 51. Rxe4 {[%eval 101,14] [%emt 0:00:01]} Ne5 {
[%eval 71,21] [%emt 0:00:05]} 52. Rd1 {[%eval 100,16] [%emt 0:00:13] (Th1)} Kh7
{[%eval 65,21] [%emt 0:00:10]} 53. Rf4 {[%eval 94,17] [%emt 0:00:12]} Rd8 {
[%eval 71,21] [%emt 0:00:05]} 54. Rh1 {[%eval 92,17] [%emt 0:00:13]} Rh8 {
[%eval 71,21] [%emt 0:00:06]} 55. Rhf1 {[%eval 89,17] [%emt 0:00:25]} Rhe8 {
[%eval 71,22] [%emt 0:00:05]} 56. Rf6 {[%eval 90,17] [%emt 0:00:13] (Tc1)} Kg7
{[%eval 83,20] [%emt 0:00:10]} 57. R6f2 {[%eval 88,18] [%emt 0:00:13] (Kh3)}
Kg8 {[%eval 78,20] [%emt 0:00:09]} 58. Rd1 {[%eval 90,19] [%emt 0:00:16] (Tc2)}
Ng4 {[%eval 80,20] [%emt 0:00:15]} 59. Rf3 {[%eval 89,18] [%emt 0:00:11]} Rc7 {
[%eval 81,20] [%emt 0:00:12]} 60. Kh3 {[%eval 90,18] [%emt 0:00:31] (Tdf1)} Ne5
{[%eval 114,21] [%emt 0:00:23]} 61. Rf6 {[%eval 88,19] [%emt 0:00:18]} Kg7 {
[%eval 114,22] [%emt 0:00:08]} 62. Rdf1 {[%eval 89,18] [%emt 0:00:13]} Ree7 {
[%eval 118,22] [%emt 0:00:21]} 63. R6f4 {[%eval 108,19] [%emt 0:00:13]} Re8 {
[%eval 113,22] [%emt 0:00:10]} 64. Nf5+ {[%eval 111,19] [%emt 0:00:22] (e7)}
Kg6 {[%eval 113,21] [%emt 0:00:19]} 65. e7 {[%eval 112,18] [%emt 0:00:24]} d5 {
[%eval 123,22] [%emt 0:00:30]} 66. R1f2 {[%eval 122,17] [%emt 0:00:10] (Td4)}
Rc5 {[%eval 117,21] [%emt 0:00:16]} 67. Rd2 {[%eval 143,16] [%emt 0:00:12]}
Rxa5 {[%eval 117,21] [%emt 0:00:09]} 68. b4 {[%eval 140,18] [%emt 0:00:24]} Ra1
{[%eval 117,22] [%emt 0:00:09]} 69. Rxd5 {[%eval 150,18] [%emt 0:00:17]} Nf7 {
[%eval 117,22] [%emt 0:00:06]} 70. Rd7 {[%eval 149,16] [%emt 0:00:09] (Sh4+)}
b5 {[%eval 117,20] [%emt 0:00:21]} 71. Kg2 {[%eval 151,16] [%emt 0:00:19] (Tb7)
} Ra2+ {[%eval 119,19] [%emt 0:00:08]} 72. Kf1 {[%eval 144,16] [%emt 0:00:10]}
Rc2 {[%eval 124,18] [%emt 0:00:04]} 73. Nd4 {[%eval 180,15] [%emt 0:00:12]
(Sh4+)} Rc1+ {[%eval 185,17] [%emt 0:00:10]} 74. Ke2 {[%eval 224,16] [%emt 0:
00:13] (Kf2)} Rcc8 {[%eval 242,17] [%emt 0:00:14]} 75. Rg4+ {[%eval 225,17]
[%emt 0:00:14] (Ta7)} Kf6 {[%eval 294,18] [%emt 0:00:12]} 76. Re4 {[%eval 253,
16] [%emt 0:00:10]} Ng5 {[%eval 299,18] [%emt 0:00:06]} 77. Rf4+ {[%eval 294,
17] [%emt 0:00:10]} Kg7 {[%eval 338,20] [%emt 0:00:06]} 78. Nf5+ {[%eval 304,
18] [%emt 0:00:10]} Kf6 {[%eval 348,21] [%emt 0:00:07]} 79. Ra7 {[%eval 319,17]
[%emt 0:00:10]} Nh3 {[%eval 354,21] [%emt 0:00:21]} 80. Rxa6+ {[%eval 316,16]
[%emt 0:00:00]} Kg5 {[%eval 382,22] [%emt 0:00:17]} 81. Nd6 {[%eval 326,19]
[%emt 0:00:17]} Rxe7+ {[%eval 397,22] [%emt 0:00:22]} 82. Ne4+ {[%eval 333,17]
[%emt 0:00:02]} Rxe4+ {[%eval 412,23] [%emt 0:00:21]} 83. Rxe4 {[%eval 340,18]
[%emt 0:00:13]} Kf5 {[%eval 412,22] [%emt 0:00:20]} 84. Rae6 {[%eval 382,18]
[%emt 0:00:16]} Rc2+ {[%eval 412,21] [%emt 0:00:19]} 85. Kf1 {[%eval 399,19]
[%emt 0:00:21] (Kd3)} Rf2+ {[%eval 382,21] [%emt 0:00:13]} 86. Ke1 {[%eval 363,
15] [%emt 0:00:01]} Rg2 {[%eval 382,21] [%emt 0:00:18]} 87. R4e5+ {[%eval 431,
21] [%emt 0:00:29]} Kg4 {[%eval 382,20] [%emt 0:00:00]} 88. Rxh6 {[%eval 448,
21] [%emt 0:00:35]} Rg1+ {[%eval 411,21] [%emt 0:00:07]} 89. Kd2 {[%eval 453,
20] [%emt 0:00:23]} Rg2+ {[%eval 412,22] [%emt 0:00:17]} 90. Kc3 {[%eval 455,
20] [%emt 0:00:12] (Kd3)} Rxg3+ {[%eval 412,22] [%emt 0:00:30]} 91. Kd4 {
[%eval 456,18] [%emt 0:00:12]} Nf4 {[%eval 440,21] [%emt 0:00:09]} 92. Rh7 {
[%eval 457,17] [%emt 0:00:12] (Txb5)} Rb3 {[%eval 398,19] [%emt 0:00:13]} 93.
Rxb5 {[%eval 460,15] [%emt 0:00:00]} Ne2+ {[%eval 398,18] [%emt 0:00:15]} 94.
Kc5 {[%eval 474,16] [%emt 0:00:31]} Rc3+ {[%eval 433,18] [%emt 0:00:11]} 95.
Kd6 {[%eval 498,17] [%emt 0:00:16]} Nf4 {[%eval 440,18] [%emt 0:00:19]} 96. Re5
{[%eval 554,17] [%emt 0:00:18]} Rd3+ {[%eval 493,19] [%emt 0:00:06]} 97. Kc6 {
[%eval 573,17] [%emt 0:00:21]} Rc3+ {[%eval 493,18] [%emt 0:00:13]} 98. Kb6 {
[%eval 576,18] [%emt 0:00:17] (Kb7)} Rc8 {[%eval 585,17] [%emt 0:00:09]} 99.
Rg7+ {[%eval 813,18] [%emt 0:00:15] (b5)} Kf3 {[%eval 706,20] [%emt 0:00:11]}
100. Rf7 {[%eval 820,16] [%emt 0:00:01]} Rb8+ {[%eval 793,21] [%emt 0:00:08]}
101. Kc5 {[%eval 829,16] [%emt 0:00:01]} Rc8+ {[%eval 809,22] [%emt 0:00:05]}
102. Kb5 {[%eval 821,15] [%emt 0:00:01]} Rb8+ {[%eval 864,21] [%emt 0:00:16]}
103. Kc4 {[%eval 1004,19] [%emt 0:00:19]} Rc8+ {[%eval 864,19] [%emt 0:00:14]}
104. Rc5 {[%eval 1004,16] [%emt 0:00:02]} Re8 {[%eval 864,18] [%emt 0:00:14]}
105. Rcf5 {[%eval 1019,15] [%emt 0:00:01]} Rc8+ {[%eval 1017,19] [%emt 0:00:15]
} 106. Kb3 {[%eval 1184,11] [%emt 0:00:05] (Kb5)} Ke4 {[%eval 1813,20] [%emt 0:
00:19]} 107. Rxf4+ {[%eval 1068,15] [%emt 0:00:03]} Kd3 {[%eval 2021,22] [%emt
0:00:08]} 108. b5 {[%eval 1617,15] [%emt 0:00:03]} Rc1 {[%eval 32724,22] [%emt
0:00:09]} 109. Rd7+ {[%eval 9988,18] [%emt 0:00:01] (Kb4)} Ke3 {[%eval 32744,
26] [%emt 0:00:13]} 110. Rdd4 {[%eval 32748,20] [%emt 0:00:18] (Tf8)} Rc8 {
[%eval 32752,33] [%emt 0:00:15]} 111. b6 {[%eval 32750,23] [%emt 0:00:22]} Rb8
{[%eval 32754,30] [%emt 0:00:16]} 112. Kc2 {[%eval 32752,27] [%emt 0:00:19]}
Rc8+ {[%eval 32756,35] [%emt 0:00:17]} 113. Rc4 {[%eval 32754,25] [%emt 0:00:
22]} Rxc4+ {[%eval 32756,40] [%emt 0:00:08]} 114. Rxc4 {[%eval 32756,25] [%emt
0:00:20]} Kf3 {[%eval 32758,62] [%emt 0:00:00]} 115. b7 {[%eval 32758,23]
[%emt 0:00:19]} Kg2 {[%eval 32760,62] [%emt 0:00:00]} 116. b8=Q {[%eval 32760,
24] [%emt 0:00:22]} Kf3 {[%eval 32762,62] [%emt 0:00:00]} 117. Qh2 {[%eval
32762,25] [%emt 0:00:26] (Db3+)} Ke3 {[%eval 32764,15] [%emt 0:00:00]} 118.
Qf4+ {[%eval 32764,127] [%emt 0:00:00]} Ke2 {[%eval 32766,44] [%emt 0:00:00]}
119. Re4# {[%eval 32766,127] [%emt 0:00:00]} 1-0[/pgn]
[pgn][Event "FCP, 40/10, p=off, i7-4770k-5930k, 4GHz"]
[Site "Trier"]
[Date "2016.05.12"]
[Round "6.7"]
[White "Fritz 15 x64"]
[Black "Laser 1.1 POP x64"]
[Result "0-1"]
[ECO "B66"]
[PlyCount "176"]
[EventDate "2016.??.??"]
[EventType "rapid"]
[EventRounds "50"]
[EventCountry "GER"]
[Source "Frank Quisinsky"]
[SourceDate "2016.05.13"]
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]} d6 {[%eval 0,0] [%emt 0:00:00]} 3. d4 {[%eval 0,0]
[%emt 0:00:00]} Nf6 {[%eval 0,0] [%emt 0:00:00]} 4. Nc3 {[%eval 0,0] [%emt 0:
00:00]} cxd4 {[%eval 0,0] [%emt 0:00:00]} 5. Nxd4 {[%eval 0,0] [%emt 0:00:00]}
Nc6 {[%eval 0,0] [%emt 0:00:00]} 6. Bg5 {[%eval 0,0] [%emt 0:00:00]} e6 {
[%eval 0,0] [%emt 0:00:00]} 7. Qd2 {[%eval 0,0] [%emt 0:00:00]} h6 {[%eval 0,0]
[%emt 0:00:00]} 8. Be3 {[%eval 0,0] [%emt 0:00:00]} a6 {[%eval 0,0] [%emt 0:00:
00]} 9. O-O-O {[%eval 0,0] [%emt 0:00:00]} Qc7 {[%eval 0,0] [%emt 0:00:00]} 10.
f4 {[%eval 0,0] [%emt 0:00:00]} Bd7 {[%eval 0,0] [%emt 0:00:00]} 11. Be2 {
[%eval 0,0] [%emt 0:00:00]} b5 {[%eval 0,0] [%emt 0:00:00]} 12. a3 {[%eval 0,0]
[%emt 0:00:00]} b4 {[%eval 0,0] [%emt 0:00:00]} 13. axb4 {[%eval 30,18] [%emt
0:00:14]} Nxb4 {[%eval 45,18] [%emt 0:00:23]} 14. Bf3 {[%eval 16,18] [%emt 0:
00:15]} e5 {[%eval 28,17] [%emt 0:00:24] (Tb8)} 15. fxe5 {[%eval 10,16] [%emt
0:00:15]} dxe5 {[%eval 24,14] [%emt 0:00:01]} 16. Nf5 {[%eval 1,18] [%emt 0:00:
11]} Rc8 {[%eval -20,16] [%emt 0:00:17] (Lxf5)} 17. Kb1 {[%eval 1,17] [%emt 0:
00:36]} Qa5 {[%eval -44,17] [%emt 0:00:34]} 18. Ng3 {[%eval -56,14] [%emt 0:00:
08]} Be6 {[%eval -105,17] [%emt 0:00:16]} 19. Nh5 {[%eval -68,17] [%emt 0:00:
20]} Nxh5 {[%eval -123,18] [%emt 0:00:26] (La2+)} 20. Bxh5 {[%eval -77,18]
[%emt 0:00:35]} Rc6 {[%eval -179,17] [%emt 0:00:24] (Sa2)} 21. Rhf1 {[%eval
-188,13] [%emt 0:00:14]} Bd6 {[%eval -157,18] [%emt 0:00:27]} 22. b3 {[%eval
-194,15] [%emt 0:00:08]} O-O {[%eval -250,18] [%emt 0:00:24] (g6)} 23. Na4 {
[%eval -259,15] [%emt 0:00:36]} Rxc2 {[%eval -256,15] [%emt 0:00:01] (Tb8)} 24.
Bxf7+ {[%eval -212,18] [%emt 0:00:13]} Rxf7 {[%eval -264,16] [%emt 0:00:02]}
25. Qxd6 {[%eval -214,20] [%emt 0:00:17]} Bxb3 {[%eval -252,17] [%emt 0:00:02]}
26. Rxf7 {[%eval -214,20] [%emt 0:00:19]} Ba2+ {[%eval -254,21] [%emt 0:00:24]}
27. Ka1 {[%eval -214,13] [%emt 0:00:00]} Bxf7 {[%eval -254,19] [%emt 0:00:02]}
28. Qd8+ {[%eval -202,22] [%emt 0:00:22]} Qxd8 {[%eval -254,20] [%emt 0:00:03]}
29. Rxd8+ {[%eval -213,22] [%emt 0:00:22]} Kh7 {[%eval -254,21] [%emt 0:00:03]}
30. Rd2 {[%eval -213,23] [%emt 0:00:22]} Rc4 {[%eval -250,21] [%emt 0:00:29]}
31. Bf2 {[%eval -206,23] [%emt 0:00:09]} Rxe4 {[%eval -248,21] [%emt 0:00:44]}
32. Nc5 {[%eval -211,23] [%emt 0:00:17]} Rc4 {[%eval -250,18] [%emt 0:00:30]}
33. Nd7 {[%eval -222,22] [%emt 0:00:30]} e4 {[%eval -259,19] [%emt 0:00:32]
(Sc6)} 34. Ne5 {[%eval -231,21] [%emt 0:00:39]} Rc7 {[%eval -269,20] [%emt 0:
00:32]} 35. Kb2 {[%eval -231,20] [%emt 0:00:24]} Be6 {[%eval -274,17] [%emt 0:
00:32] (a5)} 36. g4 {[%eval -237,18] [%emt 0:00:20]} Rb7 {[%eval -284,17]
[%emt 0:00:23] (a5)} 37. Bg3 {[%eval -260,20] [%emt 0:00:19]} Nc6+ {[%eval
-358,19] [%emt 0:00:19] (Sd5+)} 38. Kc1 {[%eval -245,21] [%emt 0:00:22]} Nxe5 {
[%eval -367,20] [%emt 0:00:29]} 39. Bxe5 {[%eval -245,23] [%emt 0:00:16]} Bxg4
{[%eval -372,20] [%emt 0:00:29]} 40. Bd4 {[%eval -245,22] [%emt 0:00:32]} Rb3 {
[%eval -372,16] [%emt 0:00:08] (g5)} 41. Rg2 {[%eval -274,20] [%emt 0:00:20]}
Rd3 {[%eval -381,19] [%emt 0:00:22]} 42. Be5 {[%eval -276,21] [%emt 0:00:14]}
h5 {[%eval -387,18] [%emt 0:00:11]} 43. Kc2 {[%eval -276,21] [%emt 0:00:21]}
Rh3 {[%eval -411,18] [%emt 0:00:16] (g5)} 44. Rg1 {[%eval -288,21] [%emt 0:00:
37]} e3 {[%eval -424,18] [%emt 0:00:11]} 45. Kc3 {[%eval -333,21] [%emt 0:00:
20]} Rf3 {[%eval -435,17] [%emt 0:00:11] (g5)} 46. Re1 {[%eval -416,22] [%emt
0:00:30]} e2+ {[%eval -436,16] [%emt 0:00:01]} 47. Kd2 {[%eval -416,21] [%emt
0:00:29]} Rb3 {[%eval -450,18] [%emt 0:00:38] (Tf1)} 48. Bc3 {[%eval -310,20]
[%emt 0:00:11]} g5 {[%eval -453,19] [%emt 0:00:15]} 49. Rh1 {[%eval -325,20]
[%emt 0:00:24]} Rb6 {[%eval -452,18] [%emt 0:00:27]} 50. Re1 {[%eval -339,20]
[%emt 0:00:15]} Kg6 {[%eval -458,17] [%emt 0:00:15]} 51. Ke3 {[%eval -339,19]
[%emt 0:00:26]} h4 {[%eval -473,19] [%emt 0:00:12] (Tb3)} 52. Ra1 {[%eval -340,
19] [%emt 0:00:24]} Re6+ {[%eval -492,19] [%emt 0:00:24] (Tb3)} 53. Kf2 {
[%eval -383,21] [%emt 0:00:18]} Rc6 {[%eval -503,18] [%emt 0:00:23] (Td6)} 54.
Bd4 {[%eval -395,21] [%emt 0:00:10]} a5 {[%eval -528,17] [%emt 0:00:12] (Td6)}
55. Rg1 {[%eval -413,18] [%emt 0:00:21]} Kh5 {[%eval -548,19] [%emt 0:00:10]}
56. h3 {[%eval -472,18] [%emt 0:00:08]} Bxh3 {[%eval -563,18] [%emt 0:00:11]}
57. Kxe2 {[%eval -472,19] [%emt 0:00:03]} Bg4+ {[%eval -568,19] [%emt 0:00:19]}
58. Kd3 {[%eval -472,18] [%emt 0:00:11]} Re6 {[%eval -575,18] [%emt 0:00:15]}
59. Ra1 {[%eval -515,18] [%emt 0:00:10]} h3 {[%eval -582,18] [%emt 0:00:25]}
60. Ba7 {[%eval -564,19] [%emt 0:00:07]} a4 {[%eval -593,18] [%emt 0:00:11]
(Le2+)} 61. Bb8 {[%eval -574,18] [%emt 0:00:15]} Bf5+ {[%eval -596,19] [%emt 0:
00:13]} 62. Kd2 {[%eval -596,18] [%emt 0:00:04]} Ra6 {[%eval -657,20] [%emt 0:
00:12] (Te4)} 63. Ra3 {[%eval -664,17] [%emt 0:00:12]} Rb6 {[%eval -693,21]
[%emt 0:00:35]} 64. Be5 {[%eval -664,17] [%emt 0:00:05]} Rb5 {[%eval -740,17]
[%emt 0:00:01]} 65. Bg3 {[%eval -787,19] [%emt 0:00:04]} Rb2+ {[%eval -756,18]
[%emt 0:00:01]} 66. Kc3 {[%eval -819,19] [%emt 0:00:06]} h2 {[%eval -797,19]
[%emt 0:00:13]} 67. Bxh2 {[%eval -931,20] [%emt 0:00:05]} Rc2+ {[%eval -805,17]
[%emt 0:00:02] (Txh2)} 68. Kd4 {[%eval -931,21] [%emt 0:00:14]} Rxh2 {[%eval
-800,16] [%emt 0:00:01]} 69. Ra1 {[%eval -1020,21] [%emt 0:00:24]} Re2 {
[%eval -889,19] [%emt 0:00:15] (g4)} 70. Rh1+ {[%eval -1020,21] [%emt 0:00:15]}
Kg6 {[%eval -878,16] [%emt 0:00:01]} 71. Ra1 {[%eval -1030,22] [%emt 0:00:04]}
g4 {[%eval -983,17] [%emt 0:00:02]} 72. Ra3 {[%eval -1080,23] [%emt 0:00:19]}
Kg5 {[%eval -1000,16] [%emt 0:00:01]} 73. Kc5 {[%eval -1080,22] [%emt 0:00:08]}
Bc2 {[%eval -1079,15] [%emt 0:00:01] (Th2)} 74. Kb4 {[%eval -1579,20] [%emt 0:
00:16]} Kf4 {[%eval -1542,16] [%emt 0:00:03]} 75. Ra1 {[%eval -1579,19] [%emt
0:00:14]} g3 {[%eval -9968,11] [%emt 0:00:10]} 76. Rf1+ {[%eval -32739,18]
[%emt 0:00:09]} Rf2 {[%eval -10029,19] [%emt 0:00:03] (Ke3)} 77. Rg1 {[%eval
-32741,20] [%emt 0:00:14]} g2 {[%eval -32743,23] [%emt 0:00:36]} 78. Ka3 {
[%eval -32743,24] [%emt 0:00:07]} Be4 {[%eval -32745,24] [%emt 0:00:29] (Te2)}
79. Kxa4 {[%eval -32749,27] [%emt 0:00:12]} Rf1 {[%eval -32747,23] [%emt 0:00:
42]} 80. Rxg2 {[%eval -32749,28] [%emt 0:00:14]} Bxg2 {[%eval -32749,21] [%emt
0:00:20]} 81. Kb5 {[%eval -32751,28] [%emt 0:00:10]} Ke5 {[%eval -32751,19]
[%emt 0:00:16] (Tc1)} 82. Kc4 {[%eval -32753,30] [%emt 0:00:17]} Bd5+ {[%eval
-32753,19] [%emt 0:00:12]} 83. Kd3 {[%eval -32755,33] [%emt 0:00:08]} Rf3+ {
[%eval -32755,20] [%emt 0:00:11]} 84. Kc2 {[%eval -32757,36] [%emt 0:00:08]}
Kd4 {[%eval -32757,22] [%emt 0:00:15]} 85. Kd2 {[%eval -32759,41] [%emt 0:00:
09]} Bc4 {[%eval -32759,24] [%emt 0:00:13]} 86. Kc2 {[%eval -32761,47] [%emt 0:
00:09]} Rf2+ {[%eval -32761,30] [%emt 0:00:12]} 87. Kd1 {[%eval -32763,50]
[%emt 0:00:08]} Kc3 {[%eval -32763,127] [%emt 0:00:00]} 88. Kc1 {[%eval -32765,
60] [%emt 0:00:10]} Rf1# {[%eval -32765,127] [%emt 0:00:00]} 0-1
[/pgn]
-
Frank Quisinsky
- Posts: 6808
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
Re: After round 10/50 (20%) = 2649.90 Elo, NEW (Nr.55)
Code: Select all
FCP Rating List (during a LIVE Test-Run)
----------------------------------------
Date : May 13th, 2016 (12:00)
Games : 77.560
Version : 4.11 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 10/50 = 20%
Laser 1.1 POP x64 = NEW
# Player : Elo Games Score% won draw lost Points Draw% Error OppAvg OppE OppD
----------------------------------------------------------------------------------------------------------------------------
55 Laser 1.1 POP x64 : 2649.90 560 30.5 56 230 274 171.0 41.1 22.69 2815.94 10.35 56.0
****************************************************************************************************************************
# Player : Elo Games Score% won draw lost Points Draw% Error OppAvg OppE OppD
----------------------------------------------------------------------------------------------------------------------------
1 Stockfish 24Apr2016 BMI2 x64 : 3189.13 2760 87.6 2095 647 18 2418.5 23.4 14.72 2808.58 10.31 55.5
1 Komodo 9.42 x64 : 3189.13 2760 87.6 2117 603 40 2418.5 21.8 14.37 2808.58 10.32 55.5
3 Houdini 4 STD B x64 : 3096.35 2760 81.2 1846 789 125 2240.5 28.6 12.55 2810.26 10.35 55.5
4 GullChess 3.0 BMI2 x64 : 3043.99 2760 76.7 1639 954 167 2116.0 34.6 11.71 2811.21 10.37 55.5
4 Fire 4 x64 : 3043.99 2760 76.7 1627 978 155 2116.0 35.4 11.65 2811.21 10.37 55.5
6 Equinox 3.30 x64 : 3000.88 2760 72.5 1459 1083 218 2000.5 39.2 10.99 2811.99 10.38 55.5
7 Fritz 15 x64 : 2995.93 2760 72.0 1458 1057 245 1986.5 38.3 10.75 2812.08 10.38 55.5
8 Critter 1.6a x64 : 2992.57 2760 71.6 1436 1082 242 1977.0 39.2 10.67 2812.14 10.38 55.5
9 Andscacs 0.86 POP x64 : 2976.60 2760 69.9 1388 1085 287 1930.5 39.3 10.61 2812.43 10.39 55.5
10 Protector 1.9.0 x64 : 2954.03 2760 67.5 1292 1141 327 1862.5 41.3 10.58 2812.83 10.39 55.5
11 Nirvanachess 2.2 POP x64 : 2938.93 2760 65.8 1236 1159 365 1815.5 42.0 10.32 2813.11 10.39 55.5
12 iCE 3.0 v658 POP x64 : 2927.14 2760 64.4 1220 1116 424 1778.0 40.4 10.24 2813.32 10.39 55.5
13 Chiron 2.0 x64 : 2916.15 2760 63.1 1192 1101 467 1742.5 39.9 10.09 2813.52 10.39 55.5
14 Hannibal 1.5 x64 : 2912.47 2760 62.7 1153 1155 452 1730.5 41.8 10.50 2813.59 10.39 55.5
15 Texel 1.05 x64 : 2908.81 2760 62.3 1145 1147 468 1718.5 41.6 10.22 2813.65 10.39 55.5
16 Naum 4.6 x64 : 2890.00 2760 60.0 1047 1218 495 1656.0 44.1 9.99 2813.99 10.40 55.5
17 Fizbo 1.6 x64 : 2845.62 2760 54.5 864 1280 616 1504.0 46.4 9.89 2814.80 10.40 55.5
18 SmarThink 1.80 AVX x64 : 2844.04 2760 54.3 945 1107 708 1498.5 40.1 9.99 2814.83 10.40 55.5
19 Senpai 1.0 SSE42 x64 : 2841.32 2760 53.9 892 1194 674 1489.0 43.3 9.80 2814.88 10.40 55.5
20 Hakkapeliitta 3.0 x64 : 2835.88 2760 53.3 920 1100 740 1470.0 39.9 9.62 2814.98 10.40 55.5
----------------------------------------------------------------------------------------------------------------------------
21 Hiarcs 14 WCSC w32 : 2830.74 2760 52.6 876 1152 732 1452.0 41.7 9.48 2815.07 10.41 55.5
22 Sjeng c't 2010 w32 : 2807.01 2760 49.6 809 1119 832 1368.5 40.5 9.53 2815.50 10.40 55.5
23 Cheng 4.39 x64 : 2799.64 2760 48.6 758 1169 833 1342.5 42.4 9.89 2815.63 10.40 55.5
24 Vajolet2 2.1 POP x64 : 2799.22 2760 48.6 736 1210 814 1341.0 43.8 9.61 2815.64 10.40 55.5
25 Shredder 12 x64 : 2797.80 2760 48.4 728 1216 816 1336.0 44.1 10.21 2815.67 10.39 55.5
26 Junior 13.3.00 x64 : 2793.24 2760 47.8 761 1118 881 1320.0 40.5 9.60 2815.75 10.40 55.5
27 Spike 1.4 Leiden w32 : 2784.22 2760 46.7 716 1144 900 1288.0 41.4 9.93 2815.91 10.40 55.5
28 DiscoCheck 5.2.1 x64 : 2781.23 2760 46.3 733 1089 938 1277.5 39.5 9.86 2815.97 10.40 55.5
29 Quazar 0.4 x64 : 2775.27 2760 45.5 660 1193 907 1256.5 43.2 9.74 2816.07 10.40 55.5
30 Booot 5.2.0 x64 : 2772.74 2760 45.2 693 1109 958 1247.5 40.2 9.71 2816.12 10.40 55.5
31 Deuterium 14.3.34.130 POP x64 : 2761.61 2760 43.8 593 1231 936 1208.5 44.6 9.85 2816.32 10.40 55.5
32 Arasan 18.3 POP x64 : 2758.33 2760 43.4 599 1196 965 1197.0 43.3 9.71 2816.38 10.40 55.5
33 Spark 1.0 x64 : 2751.89 2760 42.6 588 1173 999 1174.5 42.5 9.93 2816.50 10.40 55.5
34 Zappa Mexico II x64 : 2750.89 2760 42.4 570 1202 988 1171.0 43.6 9.86 2816.51 10.40 55.5
35 Doch 1.3.4 JA x64 : 2748.02 2760 42.1 571 1180 1009 1161.0 42.8 9.79 2816.57 10.40 55.5
36 Thinker 5.4d Inert x64 : 2743.13 2760 41.4 563 1162 1035 1144.0 42.1 10.15 2816.66 10.39 55.5
37 TogaII 280513 Intel w32 : 2736.35 2760 40.6 577 1087 1096 1120.5 39.4 9.40 2816.78 10.41 55.5
38 Crafty 25.0.1 JA POP x64 : 2731.28 2760 40.0 549 1108 1103 1103.0 40.1 9.36 2816.87 10.41 55.5
39 Atlas 3.80 x64 : 2730.41 2760 39.9 550 1100 1110 1100.0 39.9 9.99 2816.89 10.40 55.5
40 Gaviota 1.0 AVX x64 : 2729.68 2760 39.8 556 1083 1121 1097.5 39.2 9.86 2816.90 10.40 55.5
----------------------------------------------------------------------------------------------------------------------------
41 Tornado 5.0 SSE4 x64 : 2729.53 2760 39.7 571 1052 1137 1097.0 38.1 9.84 2816.90 10.40 55.5
42 Dirty 03NOV2015 POP x64 : 2727.82 2760 39.5 534 1114 1112 1091.0 40.4 9.67 2816.93 10.40 55.5
43 EXchess 7.88b x64 : 2727.67 2760 39.5 557 1067 1136 1090.5 38.7 10.11 2816.94 10.39 55.5
44 Nemo 1.01 Beta POP x64 : 2712.63 2760 37.7 489 1101 1170 1039.5 39.9 10.25 2817.21 10.39 55.5
45 Bobcat 7.1 x64 : 2710.33 2760 37.4 480 1103 1177 1031.5 40.0 9.88 2817.25 10.40 55.5
46 Murka 3 x64 : 2706.77 2760 36.9 436 1167 1157 1019.5 42.3 10.25 2817.31 10.39 55.5
47 Pedone 1.2 BMI2 x64 : 2700.21 2760 36.1 430 1135 1195 997.5 41.1 9.99 2817.43 10.40 55.5
48 Rodent II 0.8.7 x64 : 2686.33 2760 34.5 436 1031 1293 951.5 37.4 10.20 2817.68 10.39 55.5
49 DisasterArea 1.54 x64 : 2684.50 2760 34.3 370 1151 1239 945.5 41.7 10.47 2817.72 10.39 55.5
50 GNU Chess5 5.60 x64 : 2675.59 2760 33.2 393 1047 1320 916.5 37.9 9.88 2817.88 10.40 55.5
51 Scorpio 2.77 JA POP x64 : 2672.81 2760 32.9 418 979 1363 907.5 35.5 9.98 2817.93 10.40 55.5
52 Glaurung 2.2 JA x64 : 2662.05 2760 31.6 340 1066 1354 873.0 38.6 10.23 2818.12 10.39 55.5
53 Rhetoric 1.4.3 POP x64 : 2656.75 2760 31.0 351 1011 1398 856.5 36.6 11.09 2818.22 10.38 55.5
54 The Baron 3.29 x64 : 2651.19 2760 30.4 369 940 1451 839.0 34.1 10.79 2818.32 10.38 55.5
55 Laser 1.1 POP x64 : 2649.90 560 30.5 56 230 274 171.0 41.1 22.69 2815.94 10.35 56.0
56 Octochess r5190 SSE4 x64 : 2642.45 2760 29.4 317 990 1453 812.0 35.9 10.96 2818.48 10.38 55.5
57 BugChess2 1.9 POP x64 : 2620.27 2760 27.0 301 889 1570 745.5 32.2 10.97 2818.88 10.38 55.5
----------------------------------------------------------------------------------------------------------------------------
White advantage = 36.09 +/- 0.98
Draw rate (equal opponents) = 48.99 % +/- 0.21
-
Frank Quisinsky
- Posts: 6808
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
Re: After round 25/50 (50%) = 2641.50 Elo, NEW (Nr.56)
Code: Select all
FCP Rating List (during a LIVE Test-Run)
----------------------------------------
Date : May 15th, 2016 (07:30)
Games : 78.400
Version : 4.11 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 25/50 = 50%
Laser 1.1 POP x64 = NEW
# Player : Elo Games Score% won draw lost Points Draw% Error OppAvg OppE OppD
----------------------------------------------------------------------------------------------------------------------------
56 Laser 1.1 POP x64 : 2641.50 1400 29.6 155 519 726 414.5 37.1 14.32 2815.99 10.34 56.0
****************************************************************************************************************************
# Player : Elo Games Score% won draw lost Points Draw% Error OppAvg OppE OppD
----------------------------------------------------------------------------------------------------------------------------
1 Stockfish 24Apr2016 BMI2 x64 C10 : 3189.56 2775 87.7 2110 647 18 2433.5 23.3 14.64 2807.69 10.30 55.8
1 Komodo 9.42 x64 : 3189.55 2775 87.7 2132 603 40 2433.5 21.7 14.89 2807.69 10.30 55.8
3 Houdini 4 STD B x64 : 3096.87 2775 81.3 1861 789 125 2255.5 28.4 12.29 2809.36 10.34 55.8
4 GullChess 3.0 BMI2 x64 : 3043.98 2775 76.7 1651 957 167 2129.5 34.5 11.90 2810.31 10.35 55.8
4 Fire 4 x64 : 3043.38 2775 76.7 1636 984 155 2128.0 35.5 11.64 2810.32 10.35 55.8
6 Equinox 3.30 x64 : 3000.45 2775 72.5 1468 1089 218 2012.5 39.2 11.14 2811.10 10.36 55.8
7 Fritz 15 x64 : 2996.23 2775 72.1 1471 1059 245 2000.5 38.2 10.95 2811.17 10.37 55.8
8 Critter 1.6a x64 : 2992.87 2775 71.7 1449 1084 242 1991.0 39.1 10.59 2811.23 10.37 55.8
9 Andscacs 0.86 POP x64 : 2976.61 2775 70.0 1399 1089 287 1943.5 39.2 10.92 2811.53 10.37 55.8
10 Protector 1.9.0 x64 : 2954.27 2775 67.6 1304 1144 327 1876.0 41.2 10.57 2811.93 10.37 55.8
11 Nirvanachess 2.2 POP x64 : 2938.76 2775 65.9 1245 1165 365 1827.5 42.0 10.34 2812.21 10.38 55.8
12 iCE 3.0 v658 POP x64 : 2926.99 2775 64.5 1230 1120 425 1790.0 40.4 9.96 2812.42 10.38 55.8
13 Chiron 2.0 x64 : 2916.06 2775 63.2 1202 1105 468 1754.5 39.8 10.11 2812.62 10.38 55.8
14 Hannibal 1.5 x64 : 2912.54 2775 62.8 1163 1160 452 1743.0 41.8 10.14 2812.68 10.38 55.8
15 Texel 1.05 x64 : 2908.76 2775 62.4 1155 1151 469 1730.5 41.5 9.92 2812.75 10.39 55.8
16 Naum 4.6 x64 : 2890.00 2775 60.1 1057 1222 496 1668.0 44.0 9.98 2813.09 10.38 55.8
17 Fizbo 1.6 x64 : 2845.82 2775 54.6 873 1286 616 1516.0 46.3 9.88 2813.88 10.39 55.8
18 SmarThink 1.80 AVX x64 : 2843.09 2775 54.3 950 1113 712 1506.5 40.1 9.42 2813.93 10.39 55.8
19 Senpai 1.0 SSE42 x64 : 2841.54 2775 54.1 901 1200 674 1501.0 43.2 10.17 2813.96 10.38 55.8
20 Hakkapeliitta 3.0 x64 : 2836.24 2775 53.4 931 1103 741 1482.5 39.7 9.83 2814.05 10.39 55.8
----------------------------------------------------------------------------------------------------------------------------
21 Hiarcs 14 WCSC w32 : 2830.58 2775 52.7 883 1159 733 1462.5 41.8 9.74 2814.16 10.39 55.8
22 Sjeng c't 2010 w32 : 2807.51 2775 49.8 819 1124 832 1381.0 40.5 10.05 2814.57 10.38 55.8
23 Cheng 4.39 x64 : 2799.75 2775 48.8 767 1173 835 1353.5 42.3 9.99 2814.71 10.38 55.8
24 Vajolet2 2.1 POP x64 : 2799.21 2775 48.7 744 1215 816 1351.5 43.8 9.71 2814.72 10.39 55.8
25 Shredder 12 x64 : 2798.09 2775 48.6 738 1219 818 1347.5 43.9 9.48 2814.74 10.39 55.8
26 Junior 13.3.00 x64 : 2793.10 2775 47.9 768 1124 883 1330.0 40.5 9.73 2814.83 10.39 55.8
27 Spike 1.4 Leiden w32 : 2784.72 2775 46.8 727 1146 902 1300.0 41.3 9.94 2814.98 10.38 55.8
28 DiscoCheck 5.2.1 x64 : 2781.99 2775 46.5 744 1093 938 1290.5 39.4 9.71 2815.03 10.39 55.8
29 Quazar 0.4 x64 : 2775.95 2775 45.7 671 1196 908 1269.0 43.1 9.93 2815.14 10.39 55.8
30 Booot 5.2.0 x64 : 2772.99 2775 45.4 702 1113 960 1258.5 40.1 9.69 2815.19 10.39 55.8
31 Deuterium 14.3.34.130 POP x64 : 2760.95 2775 43.8 596 1240 939 1216.0 44.7 9.63 2815.41 10.39 55.8
32 Arasan 18.3 POP x64 : 2758.65 2775 43.5 607 1202 966 1208.0 43.3 9.61 2815.45 10.39 55.8
33 Spark 1.0 x64 : 2752.28 2775 42.7 595 1181 999 1185.5 42.6 9.94 2815.57 10.39 55.8
34 Zappa Mexico II x64 : 2750.83 2775 42.5 576 1209 990 1180.5 43.6 10.06 2815.59 10.38 55.8
35 Doch 1.3.4 JA x64 : 2748.14 2775 42.2 578 1186 1011 1171.0 42.7 9.91 2815.64 10.39 55.8
36 Thinker 5.4d Inert x64 : 2743.25 2775 41.6 569 1170 1036 1154.0 42.2 9.85 2815.73 10.39 55.8
37 TogaII 280513 Intel w32 : 2736.82 2775 40.8 585 1093 1097 1131.5 39.4 10.15 2815.85 10.38 55.8
38 Crafty 25.0.1 JA POP x64 : 2731.47 2775 40.1 557 1112 1106 1113.0 40.1 10.39 2815.94 10.38 55.8
39 Atlas 3.80 x64 : 2730.31 2775 40.0 556 1106 1113 1109.0 39.9 9.96 2815.96 10.38 55.8
40 Tornado 5.0 SSE4 x64 : 2729.91 2775 39.9 579 1057 1139 1107.5 38.1 9.85 2815.97 10.39 55.8
----------------------------------------------------------------------------------------------------------------------------
41 Gaviota 1.0 AVX x64 : 2729.04 2775 39.8 560 1089 1126 1104.5 39.2 9.92 2815.99 10.39 55.8
42 Dirty 03NOV2015 POP x64 : 2727.88 2775 39.7 541 1119 1115 1100.5 40.3 9.61 2816.01 10.39 55.8
43 EXchess 7.88b x64 : 2727.33 2775 39.6 562 1073 1140 1098.5 38.7 10.12 2816.02 10.38 55.8
44 Nemo 1.01 Beta POP x64 : 2712.64 2775 37.8 495 1107 1173 1048.5 39.9 9.83 2816.28 10.39 55.8
45 Bobcat 7.1 x64 : 2711.11 2775 37.6 488 1110 1177 1043.0 40.0 10.14 2816.31 10.38 55.8
46 Murka 3 x64 : 2706.52 2775 37.0 440 1175 1160 1027.5 42.3 9.84 2816.39 10.39 55.8
47 Pedone 1.2 BMI2 x64 : 2700.02 2775 36.2 434 1143 1198 1005.5 41.2 10.20 2816.51 10.38 55.8
48 Rodent II 0.8.7 x64 : 2686.35 2775 34.6 440 1040 1295 960.0 37.5 9.98 2816.76 10.38 55.8
49 DisasterArea 1.54 x64 : 2683.80 2775 34.3 372 1159 1244 951.5 41.8 9.88 2816.80 10.39 55.8
50 GNU Chess5 5.60 x64 : 2675.07 2775 33.3 394 1058 1323 923.0 38.1 10.20 2816.96 10.38 55.8
51 Scorpio 2.77 JA POP x64 : 2672.64 2775 33.0 422 986 1367 915.0 35.5 10.44 2817.00 10.38 55.8
52 Glaurung 2.2 JA x64 : 2662.70 2775 31.8 347 1072 1356 883.0 38.6 10.35 2817.18 10.38 55.8
53 Rhetoric 1.4.3 POP x64 : 2657.47 2775 31.2 360 1013 1402 866.5 36.5 10.17 2817.28 10.38 55.8
54 The Baron 3.29 x64 : 2650.97 2775 30.5 374 944 1457 846.0 34.0 10.12 2817.39 10.38 55.8
55 Octochess r5190 SSE4 x64 : 2641.66 2775 29.4 319 996 1460 817.0 35.9 10.92 2817.56 10.37 55.8
56 Laser 1.1 POP x64 : 2641.50 1400 29.6 155 519 726 414.5 37.1 14.32 2815.99 10.34 56.0
57 BugChess2 1.9 POP x64 : 2620.25 2775 27.1 304 897 1574 752.5 32.3 10.82 2817.95 10.37 55.8
----------------------------------------------------------------------------------------------------------------------------
White advantage = 35.91 +/- 1.00
Draw rate (equal opponents) = 48.95 % +/- 0.21
-
Frank Quisinsky
- Posts: 6808
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
Re: After round 42/50 (84%) = 2639.19 Elo, NEW (Nr.56)
Code: Select all
FCP Rating List (during a LIVE Test-Run)
----------------------------------------
Date : May 17th, 2016 (06:45)
Games : 79.352
Version : 4.11 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 42/50 = 82%
Laser 1.1 POP x64 = NEW
# Player : Elo Games Score% won draw lost Points Draw% Error OppAvg OppE OppD
----------------------------------------------------------------------------------------------------------------------------
56 Laser 1.1 POP x64 : 2639.19 2352 29.4 262 858 1232 691.0 36.5 11.45 2815.77 10.25 56.0
****************************************************************************************************************************
# Player : Elo Games Score% won draw lost Points Draw% Error OppAvg OppE OppD
----------------------------------------------------------------------------------------------------------------------------
1 Komodo 9.42 x64 : 3189.72 2792 87.8 2149 603 40 2450.5 21.6 13.97 2806.42 10.20 56.0
2 Stockfish 24Apr2016 BMI2 x64 : 3189.11 2792 87.7 2125 649 18 2449.5 23.2 13.98 2806.43 10.20 56.0
3 Houdini 4 STD B x64 : 3096.67 2792 81.4 1876 791 125 2271.5 28.3 12.35 2808.09 10.23 56.0
4 GullChess 3.0 BMI2 x64 : 3044.12 2792 76.9 1667 958 167 2146.0 34.3 11.48 2809.03 10.24 56.0
5 Fire 4 x64 : 3042.95 2792 76.8 1649 988 155 2143.0 35.4 11.24 2809.05 10.25 56.0
6 Equinox 3.30 x64 : 3000.53 2792 72.7 1483 1091 218 2028.5 39.1 10.92 2809.81 10.25 56.0
7 Fritz 15 x64 : 2995.44 2792 72.1 1483 1062 247 2014.0 38.0 10.84 2809.90 10.26 56.0
8 Critter 1.6a x64 : 2992.80 2792 71.9 1463 1087 242 2006.5 38.9 10.60 2809.95 10.26 56.0
9 Andscacs 0.86 POP x64 : 2976.75 2792 70.2 1414 1091 287 1959.5 39.1 10.50 2810.23 10.26 56.0
10 Protector 1.9.0 x64 : 2953.68 2792 67.7 1314 1151 327 1889.5 41.2 10.32 2810.65 10.26 56.0
11 Nirvanachess 2.2 POP x64 : 2938.07 2792 65.9 1255 1171 366 1840.5 41.9 10.68 2810.93 10.26 56.0
12 iCE 3.0 v658 POP x64 : 2926.53 2792 64.6 1240 1127 425 1803.5 40.4 10.02 2811.13 10.27 56.0
13 Chiron 2.0 x64 : 2915.33 2792 63.3 1212 1110 470 1767.0 39.8 10.08 2811.33 10.27 56.0
14 Hannibal 1.5 x64 : 2912.59 2792 63.0 1176 1164 452 1758.0 41.7 9.75 2811.38 10.27 56.0
15 Texel 1.05 x64 : 2908.20 2792 62.4 1165 1157 470 1743.5 41.4 10.43 2811.46 10.26 56.0
16 Naum 4.6 x64 : 2890.00 2792 60.3 1069 1227 496 1682.5 43.9 10.19 2811.79 10.27 56.0
17 Fizbo 1.6 x64 : 2846.15 2792 54.8 887 1288 617 1531.0 46.1 9.57 2812.57 10.28 56.0
18 SmarThink 1.80 AVX x64 : 2842.45 2792 54.4 960 1116 716 1518.0 40.0 9.95 2812.64 10.27 56.0
19 Senpai 1.0 SSE42 x64 : 2841.17 2792 54.2 911 1205 676 1513.5 43.2 9.65 2812.66 10.28 56.0
20 Hakkapeliitta 3.0 x64 : 2835.79 2792 53.5 941 1107 744 1494.5 39.6 9.94 2812.76 10.27 56.0
----------------------------------------------------------------------------------------------------------------------------
21 Hiarcs 14 WCSC w32 : 2829.57 2792 52.7 889 1167 736 1472.5 41.8 9.50 2812.87 10.28 56.0
22 Sjeng c't 2010 w32 : 2807.77 2792 50.0 831 1128 833 1395.0 40.4 9.65 2813.26 10.28 56.0
23 Cheng 4.39 x64 : 2799.50 2792 48.9 774 1183 835 1365.5 42.4 9.76 2813.41 10.27 56.0
24 Vajolet2 2.1 POP x64 : 2798.80 2792 48.8 751 1224 817 1363.0 43.8 9.86 2813.42 10.27 56.0
25 Shredder 12 x64 : 2798.38 2792 48.8 749 1225 818 1361.5 43.9 9.63 2813.43 10.28 56.0
26 Junior 13.3.00 x64 : 2792.46 2792 48.0 774 1133 885 1340.5 40.6 9.30 2813.53 10.28 56.0
27 Spike 1.4 Leiden w32 : 2785.08 2792 47.1 739 1150 903 1314.0 41.2 10.02 2813.67 10.27 56.0
28 DiscoCheck 5.2.1 x64 : 2782.26 2792 46.7 754 1100 938 1304.0 39.4 9.95 2813.72 10.27 56.0
29 Quazar 0.4 x64 : 2775.67 2792 45.9 679 1203 910 1280.5 43.1 9.71 2813.84 10.28 56.0
30 Booot 5.2.0 x64 : 2772.61 2792 45.5 711 1117 964 1269.5 40.0 9.77 2813.89 10.27 56.0
31 Deuterium 14.3.34.130 POP x64 : 2760.76 2792 44.0 603 1249 940 1227.5 44.7 9.92 2814.10 10.27 56.0
32 Arasan 18.3 POP x64 : 2758.36 2792 43.7 613 1212 967 1219.0 43.4 9.66 2814.15 10.28 56.0
33 Spark 1.0 x64 : 2751.86 2792 42.8 601 1190 1001 1196.0 42.6 9.64 2814.26 10.28 56.0
34 Zappa Mexico II x64 : 2750.58 2792 42.7 583 1217 992 1191.5 43.6 9.98 2814.28 10.27 56.0
35 Doch 1.3.4 JA x64 : 2748.46 2792 42.4 588 1192 1012 1184.0 42.7 9.72 2814.32 10.28 56.0
36 Thinker 5.4d Inert x64 : 2743.63 2792 41.8 579 1176 1037 1167.0 42.1 10.12 2814.41 10.27 56.0
37 TogaII 280513 Intel w32 : 2736.65 2792 40.9 594 1097 1101 1142.5 39.3 9.47 2814.53 10.28 56.0
38 Crafty 25.0.1 JA POP x64 : 2731.35 2792 40.3 564 1120 1108 1124.0 40.1 10.12 2814.63 10.27 56.0
39 Tornado 5.0 SSE4 x64 : 2729.77 2792 40.1 587 1063 1142 1118.5 38.1 10.01 2814.66 10.27 56.0
40 Atlas 3.80 x64 : 2729.48 2792 40.0 560 1115 1117 1117.5 39.9 9.73 2814.66 10.27 56.0
----------------------------------------------------------------------------------------------------------------------------
41 Gaviota 1.0 AVX x64 : 2728.62 2792 39.9 568 1093 1131 1114.5 39.1 9.75 2814.68 10.27 56.0
42 Dirty 03NOV2015 POP x64 : 2727.65 2792 39.8 548 1126 1118 1111.0 40.3 9.60 2814.70 10.28 56.0
43 EXchess 7.88b x64 : 2726.49 2792 39.6 565 1084 1143 1107.0 38.8 9.60 2814.72 10.28 56.0
44 Bobcat 7.1 x64 : 2712.13 2792 37.9 500 1115 1177 1057.5 39.9 10.12 2814.97 10.27 56.0
45 Nemo 1.01 Beta POP x64 : 2712.07 2792 37.9 499 1117 1176 1057.5 40.0 9.82 2814.97 10.27 56.0
46 Murka 3 x64 : 2706.72 2792 37.2 447 1184 1161 1039.0 42.4 9.73 2815.07 10.28 56.0
47 Pedone 1.2 BMI2 x64 : 2699.51 2792 36.3 438 1153 1201 1014.5 41.3 10.08 2815.20 10.27 56.0
48 Rodent II 0.8.7 x64 : 2685.81 2792 34.7 443 1051 1298 968.5 37.6 10.47 2815.44 10.26 56.0
49 DisasterArea 1.54 x64 : 2683.70 2792 34.4 378 1167 1247 961.5 41.8 10.12 2815.48 10.27 56.0
50 GNU Chess5 5.60 x64 : 2674.76 2792 33.4 400 1064 1328 932.0 38.1 10.02 2815.64 10.27 56.0
51 Scorpio 2.77 JA POP x64 : 2672.77 2792 33.1 428 995 1369 925.5 35.6 10.06 2815.68 10.27 56.0
52 Glaurung 2.2 JA x64 : 2662.63 2792 32.0 352 1081 1359 892.5 38.7 10.31 2815.86 10.26 56.0
53 Rhetoric 1.4.3 POP x64 : 2656.95 2792 31.3 364 1021 1407 874.5 36.6 10.61 2815.96 10.26 56.0
54 The Baron 3.29 x64 : 2650.36 2792 30.6 379 949 1464 853.5 34.0 10.58 2816.08 10.26 56.0
55 Octochess r5190 SSE4 x64 : 2641.41 2792 29.6 325 1001 1466 825.5 35.9 10.47 2816.24 10.26 56.0
56 Laser 1.1 POP x64 : 2639.19 2352 29.4 262 858 1232 691.0 36.5 11.45 2815.77 10.25 56.0
57 BugChess2 1.9 POP x64 : 2620.71 2792 27.3 311 903 1578 762.5 32.3 10.52 2816.61 10.26 56.0
----------------------------------------------------------------------------------------------------------------------------
White advantage = 35.62 +/- 0.97
Draw rate (equal opponents) = 48.91 % +/- 0.21
-
Frank Quisinsky
- Posts: 6808
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
Re: Two examples: 2x 1:0 vs. Fritz 15 !!
Hi,
Laser - Fritz is indeed very nice match constellation!
Because we can see all the holes Fritz have comparing to other engines with an equal strength. Often such holes are better to see in matches ... stronger vs. weaker!
At the moment Laser won 4 of 43 games vs. 370 Elo stronger Fritz 15. No other TOP engine lost 4 games vs. Laser!
Laser is a very fine engine without bigger problems in one of the playing phases. Is playing all phases (after opening book moves, middlegame and endgame) very balanced for 2.640 Elo. And after 2.400 games ... no game lost on time, no crashes ... all is working absolutely perfectly. I am very happy with Laser. Very interesting in that development ... sure the Elo will go very fast higher.
For me the most interesting engine news in the year 2016!
Best
Frank
Laser - Fritz is indeed very nice match constellation!
Because we can see all the holes Fritz have comparing to other engines with an equal strength. Often such holes are better to see in matches ... stronger vs. weaker!
At the moment Laser won 4 of 43 games vs. 370 Elo stronger Fritz 15. No other TOP engine lost 4 games vs. Laser!
Laser is a very fine engine without bigger problems in one of the playing phases. Is playing all phases (after opening book moves, middlegame and endgame) very balanced for 2.640 Elo. And after 2.400 games ... no game lost on time, no crashes ... all is working absolutely perfectly. I am very happy with Laser. Very interesting in that development ... sure the Elo will go very fast higher.
For me the most interesting engine news in the year 2016!
Best
Frank
-
jeffreyan11
- Posts: 46
- Joined: Sat Sep 12, 2015 5:23 am
- Location: United States
Re: Two examples: 2x 1:0 vs. Fritz 15 !!
Hey Frank, thanks for the games and the kind words! We'll be working hard to make sure we climb the lists and improve.
-
Frank Quisinsky
- Posts: 6808
- Joined: Wed Nov 18, 2009 7:16 pm
- Location: Gutweiler, Germany
- Full name: Frank Quisinsky
Re: Final = 2634.92 Elo, NEW (Nr.56)
Code: Select all
FCP Rating List (during a LIVE Test-Run)
----------------------------------------
Date : May 18th, 2016 (09:30)
Games : 79.800
Version : 4.11
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)
**********************************************
Final results after round 50/50 = 100%
Laser 1.1 POP x64 = NEW
# Player : Elo Games Score% won draw lost Points Draw% Error OppAvg OppE OppD
----------------------------------------------------------------------------------------------------------------------------
56 Laser 1.1 POP x64 : 2634.92 2800 28.9 303 1014 1483 810.0 36.2 10.64 2815.66 10.27 56.0
****************************************************************************************************************************
# Player : Elo Games Score% won draw lost Points Draw% Error OppAvg OppE OppD
----------------------------------------------------------------------------------------------------------------------------
1 Komodo 9.42 x64 : 3189.14 2800 87.8 2155 605 40 2457.5 21.6 14.08 2805.76 10.20 56.0
2 Stockfish 24Apr2016 BMI2 x64 C10 : 3188.84 2800 87.8 2132 650 18 2457.0 23.2 14.37 2805.77 10.20 56.0
3 Houdini 4 STD B x64 : 3096.53 2800 81.4 1883 792 125 2279.0 28.3 12.65 2807.42 10.23 56.0
4 GullChess 3.0 BMI2 x64 : 3043.85 2800 76.9 1673 960 167 2153.0 34.3 11.27 2808.36 10.25 56.0
5 Fire 4 x64 : 3042.88 2800 76.8 1656 989 155 2150.5 35.3 11.53 2808.37 10.25 56.0
6 Equinox 3.30 x64 : 3000.34 2800 72.7 1489 1093 218 2035.5 39.0 10.97 2809.13 10.26 56.0
7 Fritz 15 x64 : 2995.25 2800 72.2 1489 1064 247 2021.0 38.0 10.28 2809.22 10.27 56.0
8 Critter 1.6a x64 : 2992.79 2800 71.9 1470 1088 242 2014.0 38.9 11.53 2809.27 10.25 56.0
9 Andscacs 0.86 POP x64 : 2976.26 2800 70.2 1419 1093 288 1965.5 39.0 10.43 2809.56 10.27 56.0
10 Protector 1.9.0 x64 : 2953.89 2800 67.8 1322 1151 327 1897.5 41.1 10.52 2809.96 10.27 56.0
11 Nirvanachess 2.2 POP x64 : 2937.82 2800 66.0 1260 1174 366 1847.0 41.9 10.08 2810.25 10.28 56.0
12 iCE 3.0 v658 POP x64 : 2926.15 2800 64.6 1244 1131 425 1809.5 40.4 10.27 2810.46 10.27 56.0
13 Chiron 2.0 x64 : 2915.13 2800 63.3 1217 1113 470 1773.5 39.8 10.01 2810.66 10.28 56.0
14 Hannibal 1.5 x64 : 2912.25 2800 63.0 1180 1168 452 1764.0 41.7 9.86 2810.71 10.28 56.0
15 Texel 1.05 x64 : 2908.17 2800 62.5 1171 1159 470 1750.5 41.4 9.97 2810.78 10.28 56.0
16 Naum 4.6 x64 : 2890.00 2800 60.3 1075 1229 496 1689.5 43.9 9.98 2811.10 10.28 56.0
17 Fizbo 1.6 x64 : 2846.09 2800 54.9 892 1291 617 1537.5 46.1 10.08 2811.89 10.28 56.0
18 SmarThink 1.80 AVX x64 : 2842.12 2800 54.4 964 1119 717 1523.5 40.0 9.95 2811.96 10.28 56.0
19 Senpai 1.0 SSE42 x64 : 2840.85 2800 54.3 915 1208 677 1519.0 43.1 9.94 2811.98 10.28 56.0
20 Hakkapeliitta 3.0 x64 : 2835.75 2800 53.6 947 1108 745 1501.0 39.6 9.75 2812.07 10.28 56.0
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21 Hiarcs 14 WCSC w32 : 2829.69 2800 52.8 895 1169 736 1479.5 41.8 9.52 2812.18 10.29 56.0
22 Sjeng c't 2010 w32 : 2807.38 2800 50.0 834 1132 834 1400.0 40.4 9.56 2812.58 10.28 56.0
23 Cheng 4.39 x64 : 2799.13 2800 48.9 776 1189 835 1370.5 42.5 10.15 2812.73 10.27 56.0
24 Shredder 12 x64 : 2798.43 2800 48.9 754 1228 818 1368.0 43.9 9.52 2812.74 10.29 56.0
24 Vajolet2 2.1 POP x64 : 2798.43 2800 48.9 754 1228 818 1368.0 43.9 9.96 2812.74 10.28 56.0
26 Junior 13.3.00 x64 : 2792.25 2800 48.1 778 1136 886 1346.0 40.6 9.68 2812.85 10.28 56.0
27 Spike 1.4 Leiden w32 : 2785.04 2800 47.1 743 1154 903 1320.0 41.2 9.86 2812.98 10.28 56.0
28 DiscoCheck 5.2.1 x64 : 2782.08 2800 46.8 758 1103 939 1309.5 39.4 9.91 2813.03 10.28 56.0
29 Quazar 0.4 x64 : 2775.64 2800 45.9 684 1205 911 1286.5 43.0 9.70 2813.15 10.28 56.0
30 Booot 5.2.0 x64 : 2772.17 2800 45.5 715 1118 967 1274.0 39.9 10.02 2813.21 10.28 56.0
31 Deuterium 14.3.34.130 POP x64 : 2760.49 2800 44.0 606 1253 941 1232.5 44.8 9.43 2813.42 10.29 56.0
32 Arasan 18.3 POP x64 : 2758.66 2800 43.8 619 1214 967 1226.0 43.4 9.84 2813.45 10.28 56.0
33 Spark 1.0 x64 : 2751.62 2800 42.9 604 1194 1002 1201.0 42.6 9.90 2813.58 10.28 56.0
34 Zappa Mexico II x64 : 2750.63 2800 42.8 587 1221 992 1197.5 43.6 9.67 2813.59 10.28 56.0
35 Doch 1.3.4 JA x64 : 2748.79 2800 42.5 594 1194 1012 1191.0 42.6 10.08 2813.63 10.28 56.0
36 Thinker 5.4d Inert x64 : 2743.69 2800 41.9 584 1178 1038 1173.0 42.1 9.89 2813.72 10.28 56.0
37 TogaII 280513 Intel w32 : 2736.73 2800 41.0 598 1101 1101 1148.5 39.3 9.97 2813.84 10.28 56.0
38 Crafty 25.0.1 JA POP x64 : 2731.60 2800 40.4 569 1123 1108 1130.5 40.1 9.62 2813.93 10.28 56.0
39 Tornado 5.0 SSE4 x64 : 2730.17 2800 40.2 593 1065 1142 1125.5 38.0 9.23 2813.96 10.29 56.0
40 Atlas 3.80 x64 : 2729.45 2800 40.1 563 1120 1117 1123.0 40.0 9.76 2813.97 10.28 56.0
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41 Gaviota 1.0 AVX x64 : 2728.45 2800 40.0 572 1095 1133 1119.5 39.1 9.61 2813.99 10.28 56.0
42 Dirty 03NOV2015 POP x64 : 2727.62 2800 39.9 552 1129 1119 1116.5 40.3 9.49 2814.00 10.29 56.0
43 EXchess 7.88b x64 : 2726.18 2800 39.7 568 1087 1145 1111.5 38.8 10.37 2814.03 10.27 56.0
44 Bobcat 7.1 x64 : 2712.15 2800 38.0 503 1120 1177 1063.0 40.0 9.77 2814.28 10.28 56.0
45 Nemo 1.01 Beta POP x64 : 2712.09 2800 38.0 503 1120 1177 1063.0 40.0 10.17 2814.28 10.27 56.0
46 Murka 3 x64 : 2707.05 2800 37.3 453 1185 1162 1045.5 42.3 10.00 2814.37 10.28 56.0
47 Pedone 1.2 BMI2 x64 : 2698.98 2800 36.4 438 1160 1202 1018.0 41.4 10.03 2814.52 10.28 56.0
48 Rodent II 0.8.7 x64 : 2685.91 2800 34.8 447 1054 1299 974.0 37.6 10.16 2814.75 10.27 56.0
49 DisasterArea 1.54 x64 : 2683.51 2800 34.5 381 1170 1249 966.0 41.8 10.25 2814.79 10.27 56.0
50 GNU Chess5 5.60 x64 : 2675.21 2800 33.5 405 1067 1328 938.5 38.1 10.39 2814.94 10.27 56.0
51 Scorpio 2.77 JA POP x64 : 2672.62 2800 33.2 431 998 1371 930.0 35.6 10.23 2814.99 10.27 56.0
52 Glaurung 2.2 JA x64 : 2662.67 2800 32.1 355 1085 1360 897.5 38.8 10.41 2815.16 10.27 56.0
53 Rhetoric 1.4.3 POP x64 : 2657.17 2800 31.4 369 1022 1409 880.0 36.5 10.20 2815.26 10.27 56.0
54 The Baron 3.29 x64 : 2649.82 2800 30.6 381 951 1468 856.5 34.0 10.18 2815.39 10.27 56.0
55 Octochess r5190 SSE4 x64 : 2641.21 2800 29.6 327 1005 1468 829.5 35.9 10.47 2815.55 10.27 56.0
56 Laser 1.1 POP x64 : 2634.92 2800 28.9 303 1014 1483 810.0 36.2 10.64 2815.66 10.27 56.0
57 BugChess2 1.9 POP x64 : 2620.09 2800 27.3 312 906 1582 765.0 32.4 10.37 2815.92 10.27 56.0
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White advantage = 35.67 +/- 0.98
Draw rate (equal opponents) = 48.90 % +/- 0.21