White-Black Stat

Discussion of computer chess matches and engine tournaments.

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Vinvin
Posts: 5309
Joined: Thu Mar 09, 2006 9:40 am
Full name: Vincent Lejeune

White-Black Stat

Post by Vinvin »

From the big list http://home.scarlet.be/vincentlejeune/r ... -beta3.txt , I took engine with more than 3000 games, 69 engines I made a stat with color difference :
Advantage for white +4.68 , Extremes :Crafty 23.3 (+23) and Protector 1.4.0 (-18, yes 18 points less with white !!).

(Stat on 652'297 games)

Code: Select all

Rank	Color	Name	Rating	+	-	Games	Wh-Bl
1815	Wh-	Alaric 707	2741	10	10	3377	
1907	Bl-	Alaric 707	2727	10	10	3370	14
2401	Wh-	Aristarch 4.50	2665	8	8	4907	
2463	Bl-	Aristarch 4.50	2657	8	8	4883	8
1202	Wh-	Bright 0.5c	2858	10	10	3352	
1165	Bl-	Bright 0.5c	2864	10	10	3348	-6
1634	Wh-	Chess Tiger 2007.1	2776	9	9	3576	
1633	Bl-	Chess Tiger 2007.1	2776	9	9	3576	0
1412	Wh-	Crafty 23.3	2820	11	11	3241	
1574	Bl-	Crafty 23.3	2788	12	12	3242	32
207	Wh-	Critter 0.90 64-bit	3116	11	11	3145	
243	Bl-	Critter 0.90 64-bit	3093	10	10	3144	23
112	Wh-	Critter 1.2	3169	11	11	3143	
145	Bl-	Critter 1.2	3151	10	10	3141	18
58	Wh-	Critter 1.4 64-bit	3202	11	11	3312	
87	Bl-	Critter 1.4 64-bit	3182	10	10	3305	20
477	Wh-	Deep Fritz 12	2994	8	8	4729	
476	Bl-	Deep Fritz 12	2994	8	8	4728	0
1213	Wh-	Fritz 10	2855	10	10	3321	
1162	Bl-	Fritz 10	2864	10	10	3330	-9
687	Wh-	Fritz 11	2947	8	8	5148	
696	Bl-	Fritz 11	2944	8	8	5257	3
613	Wh-	Fritz 12	2964	9	9	4152	
583	Bl-	Fritz 12	2970	9	9	4159	-6
345	Wh-	Fritz 13	3038	9	9	4140	
355	Bl-	Fritz 13	3036	9	9	4142	2
1382	Wh-	Fritz 9	2825	9	9	3977	
1420	Bl-	Fritz 9	2820	9	9	3999	5
1289	Wh-	Fruit 05/11/03	2843	8	8	4929	
1234	Bl-	Fruit 05/11/03	2851	8	8	4930	-8
1438	Wh-	Fruit 2.2.1	2815	7	7	6393	
1399	Bl-	Fruit 2.2.1	2823	7	7	6339	-8
2044	Wh-	Gandalf 6	2709	8	8	4702	
2092	Bl-	Gandalf 6	2703	8	8	4694	6
473	Wh-	Gull 1.2	2995	9	9	4312	
496	Bl-	Gull 1.2	2988	9	9	4317	7
998	Wh-	Hannibal 1.0a	2893	9	9	3863	
1067	Bl-	Hannibal 1.0a	2882	10	10	3858	11
609	Wh-	Hannibal 1.1	2965	10	10	3664	
668	Bl-	Hannibal 1.1	2951	10	10	3664	14
1023	Wh-	Hiarcs 12.1	2889	8	8	5248	
1045	Bl-	Hiarcs 12.1	2885	8	8	5244	4
648	Wh-	Hiarcs 13.1	2955	8	8	4668	
645	Bl-	Hiarcs 13.1	2955	8	8	4665	0
532	Wh-	Hiarcs 13.2	2980	7	7	6453	
547	Bl-	Hiarcs 13.2	2977	7	7	6449	3
47	Wh-	Houdini 1.5	3212	11	11	3799	
62	Bl-	Houdini 1.5	3199	10	10	3800	13
1281	Wh-	Jonny 4.00	2845	8	8	6241	
1348	Bl-	Jonny 4.00	2833	8	8	6238	12
1080	Wh-	Junior 11.1a	2880	10	10	3548	
1095	Bl-	Junior 11.1a	2877	10	10	3547	3
971	Wh-	Junior 11.2	2898	10	10	3691	
996	Bl-	Junior 11.2	2893	10	10	3689	5
836	Wh-	Junior 12	2919	9	9	4229	
853	Bl-	Junior 12	2917	9	9	4228	2
601	Wh-	Junior 12.5	2968	9	9	4207	
667	Bl-	Junior 12.5	2951	9	9	4205	17
448	Wh-	Komodo 1.2	3002	9	9	3588	
456	Bl-	Komodo 1.2	3000	9	9	3588	2
84	Wh-	Komodo 3 64-bit	3184	11	11	3127	
110	Bl-	Komodo 3 64-bit	3169	11	11	3126	15
80	Wh-	Komodo 4 64-bit	3186	11	11	3314	
77	Bl-	Komodo 4 64-bit	3188	10	10	3313	-2
1566	Wh-	Ktulu 8	2791	9	9	4302	
1594	Bl-	Ktulu 8	2784	9	9	4328	7
1312	Wh-	Loop 2007	2839	8	8	4950	
1349	Bl-	Loop 2007	2833	9	9	4950	6
422	Wh-	Naum 4	3009	10	10	3111	
463	Bl-	Naum 4	2998	10	10	3110	11
324	Wh-	Naum 4.2	3046	7	7	7748	
336	Bl-	Naum 4.2	3040	6	6	7752	6
300	Wh-	Naum 4.2 64-bit	3056	9	9	4428	
291	Bl-	Naum 4.2 64-bit	3062	9	9	4421	-6
1059	Wh-	Onno 1.1.1	2883	9	9	3943	
1039	Bl-	Onno 1.1.1	2886	9	9	3942	-3
1069	Wh-	Onno 1.2.70	2882	8	8	5207	
1049	Bl-	Onno 1.2.70	2885	8	8	5208	-3
910	Wh-	Protector 1.3.2	2908	9	9	3532	
884	Bl-	Protector 1.3.2	2912	10	10	3531	-4
665	Wh-	Protector 1.4.0	2952	8	8	4680	
587	Bl-	Protector 1.4.0	2970	8	8	4668	-18
2178	Wh-	Ruffian 2.1.0	2694	9	9	3812	
2145	Bl-	Ruffian 2.1.0	2697	9	9	3784	-3
1128	Wh-	Rybka 1.0 Beta	2872	8	8	5473	
1192	Bl-	Rybka 1.0 Beta	2859	8	8	5438	13
444	Wh-	Rybka 2.3.2a	3003	7	7	6161	
469	Bl-	Rybka 2.3.2a	2997	7	7	6166	6
231	Wh-	Rybka 3	3100	8	8	5986	
268	Bl-	Rybka 3	3082	7	7	5980	18
48	Wh-	Rybka 3 64-bit 4CPU	3212	11	11	3166	
64	Bl-	Rybka 3 64-bit 4CPU	3198	10	10	3183	14
154	Wh-	Rybka 4	3148	9	9	4420	
170	Bl-	Rybka 4	3135	9	9	4418	13
98	Wh-	Rybka 4.1 64-bit	3174	9	9	4862	
116	Bl-	Rybka 4.1 64-bit	3167	8	8	4856	7
1326	Wh-	Shredder 10	2836	8	8	5689	
1306	Bl-	Shredder 10	2839	8	8	5694	-3
810	Wh-	Shredder 11	2923	8	8	5571	
870	Bl-	Shredder 11	2913	8	8	5555	10
443	Wh-	Shredder 11 4CPU	3003	10	10	3254	
490	Bl-	Shredder 11 4CPU	2990	10	10	3265	13
381	Wh-	Shredder 12	3026	5	5	14364	
417	Bl-	Shredder 12	3012	5	5	14385	14
223	Wh-	Shredder 12 4CPU	3106	9	9	3529	
252	Bl-	Shredder 12 4CPU	3090	9	9	3531	16
1519	Wh-	Shredder 9.1	2800	8	8	4810	
1547	Bl-	Shredder 9.1	2794	8	8	4822	6
405	Wh-	Sjeng c't 2010	3016	6	6	8071	
426	Bl-	Sjeng c't 2010	3007	6	6	8073	9
947	Wh-	Sjeng WC 2008	2901	7	7	5722	
1018	Bl-	Sjeng WC 2008	2890	8	8	5718	11
2096	Wh-	Slow Chess Blitz WV2.1	2703	10	10	3532	
2119	Bl-	Slow Chess Blitz WV2.1	2700	10	10	3544	3
2615	Wh-	SOS 5.1	2640	10	10	3518	
2549	Bl-	SOS 5.1	2647	10	10	3517	-7
880	Wh-	Spark 0.4	2912	10	10	3230	
831	Bl-	Spark 0.4	2920	10	10	3229	-8
1468	Wh-	Spike 1.2	2810	5	5	11706	
1470	Bl-	Spike 1.2	2809	5	5	11713	1
441	Wh-	Spike 1.4	3003	7	7	7459	
440	Bl-	Spike 1.4	3004	7	7	7461	-1
730	Wh-	Thinker 5.4d Inert	2938	9	9	3945	
694	Bl-	Thinker 5.4d Inert	2945	9	9	3944	-7
690	Wh-	Thinker 5.4d Inert 64-bit	2945	10	10	3198	
655	Bl-	Thinker 5.4d Inert 64-bit	2954	10	10	3199	-9
1323	Wh-	Toga II 1.2.1a	2837	8	8	5334	
1322	Bl-	Toga II 1.2.1a	2837	8	8	5345	0
1061	Wh-	Toga II 1.4 Beta5c BB	2883	9	9	4150	
1036	Bl-	Toga II 1.4 Beta5c BB	2886	9	9	4150	-3
1225	Wh-	Umko 1.1 64-bit	2853	10	10	3717	
1238	Bl-	Umko 1.1 64-bit	2851	10	10	3716	2
854	Wh-	Zappa Mexico II	2916	6	6	9242	
934	Bl-	Zappa Mexico II	2904	6	6	9243	12
693	Wh-	Zappa Mexico II 64-bit	2945	8	8	4680	
686	Bl-	Zappa Mexico II 64-bit	2947	8	8	4679	-2
309	Wh-	Zappa Mexico II 64-bit 4CPU	3052	9	9	3821	
314	Bl-	Zappa Mexico II 64-bit 4CPU	3050	9	9	3819	2
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Sven
Posts: 4052
Joined: Thu May 15, 2008 9:57 pm
Location: Berlin, Germany
Full name: Sven Schüle

Re: White-Black Stat

Post by Sven »

Vinvin wrote:From the big list http://home.scarlet.be/vincentlejeune/r ... -beta3.txt , I took engine with more than 3000 games, 69 engines I made a stat with color difference :
Advantage for white +4.68 , Extremes :Crafty 23.3 (+23) and Protector 1.4.0 (-18, yes 18 points less with white !!).
Thanks for your work which provides interesting results! Up to now I believed that the white advantage were much bigger on average, i.e. about +30 Elo points, resulting from white usually scoring about 54-55% in high-level games between almost equal opponents.

What kind of time control was used for the games in your DB?

Did you use BayesElo for the rating calculation? If so, how did you address the fact that BayesElo already has some built-in handling for the influence of colors?

Btw, Crafty 23.3 has +32 as white/black difference.

Sven
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Vinvin
Posts: 5309
Joined: Thu Mar 09, 2006 9:40 am
Full name: Vincent Lejeune

Re: White-Black Stat

Post by Vinvin »

Sven Schüle wrote:
Vinvin wrote:From the big list http://home.scarlet.be/vincentlejeune/r ... -beta3.txt , I took engine with more than 3000 games, 69 engines I made a stat with color difference :
Advantage for white +4.68 , Extremes :Crafty 23.3 (+23) and Protector 1.4.0 (-18, yes 18 points less with white !!).
Thanks for your work which provides interesting results! Up to now I believed that the white advantage were much bigger on average, i.e. about +30 Elo points, resulting from white usually scoring about 54-55% in high-level games between almost equal opponents.
In humans games, the difference is bigger. Some assumptions : 1) humans play better opening than computers, they tend to maintain the advantage from the beginning ; 2) humans have a psychological influence that with white it's logical to have a little +/- and black don't try hard to win.
Sven Schüle wrote:What kind of time control was used for the games in your DB?
It's 6 big datagbases compilation :
CEGT : AMD64X2 4200+; 40/20 (Pond.OFF)
CCRL : Athlon64 2.4 GHz; 40/40 (Pond.OFF)
WBEC : Various; 40/40 (Pond.ON)
IPON : Phenom2 3.2 GHz; 5m+3s (Pond.ON)
ChessWAR : Intel Q9300 2.5 Ghz;40/40 (Pond.ON)
SWCR : Intel Q9550 2,83GHz; 40/40 (Pond.ON)
Sven Schüle wrote:From the big list Did you use BayesElo for the rating calculation? If so, how did you address the fact that BayesElo already has some built-in handling for the influence of colors?
Yes, BayesElo ... I forgot it already use a correction. May be, Rémi Coulomb can tell us how much It use ...
Sven Schüle wrote:From the big list Btw, Crafty 23.3 has +32 as white/black difference.
Sven
Oops, sorry, my mistake !
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hgm
Posts: 28426
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Location: Amsterdam
Full name: H G Muller

Re: White-Black Stat

Post by hgm »

In self-play I find usually 53-54% for white, both with Fairy-Max and with Joker.
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Sven
Posts: 4052
Joined: Thu May 15, 2008 9:57 pm
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Full name: Sven Schüle

Re: White-Black Stat

Post by Sven »

Vinvin wrote:
Sven Schüle wrote:Did you use BayesElo for the rating calculation? If so, how did you address the fact that BayesElo already has some built-in handling for the influence of colors?
Yes, BayesElo ... I forgot it already use a correction. May be, Rémi Coulomb can tell us how much It use ...
The default value for the "advantage" parameter in BayesElo is 32.8 Elo points. You could try whether setting it to 0 (command "advantage 0" prior to "mm") makes any difference in your computation (I would expect a significant difference). You can also let BayesElo calculate the "white advantage" value from the given game database, by replacing the usual "mm" command by "mm 1", and compare the result to yours.

EDIT: Did you use weighted averaging (by number of games per engine) to obtain the +4.68 average?

Sven
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Vinvin
Posts: 5309
Joined: Thu Mar 09, 2006 9:40 am
Full name: Vincent Lejeune

Re: White-Black Stat

Post by Vinvin »

Sven Schüle wrote:
Vinvin wrote:
Sven Schüle wrote:Did you use BayesElo for the rating calculation? If so, how did you address the fact that BayesElo already has some built-in handling for the influence of colors?
Yes, BayesElo ... I forgot it already use a correction. May be, Rémi Coulomb can tell us how much It use ...
The default value for the "advantage" parameter in BayesElo is 32.8 Elo points. You could try whether setting it to 0 (command "advantage 0" prior to "mm") makes any difference in your computation (I would expect a significant difference). You can also let BayesElo calculate the "white advantage" value from the given game database, by replacing the usual "mm" command by "mm 1", and compare the result to yours.

EDIT: Did you use weighted averaging (by number of games per engine) to obtain the +4.68 average?

Sven
Thanks for the tip ...
Now the numbers are different :
Average (Wh-Bl) : 20.09
Max still Crafty 23.3 : +47
Min still Protector 1.4.0 : -2

Code: Select all

Rank	 Nam	e	  Elo	  +	  -	games	Wh-Bl
1779	 Wh-	Alaric 707	2741	10	10	3377	
1972	 Bl-	Alaric 707	2711	10	10	3370	30
2339	 Wh-	Aristarch 4.50	2665	8	8	4907	
2524	 Bl-	Aristarch 4.50	2642	8	8	4883	23
1162	 Wh-	Bright 0.5c	2858	10	10	3352	
1214	 Bl-	Bright 0.5c	2848	10	10	3348	10
1934	 Wh-	Chess Tiger 15	2716	10	10	3054	
2093	 Bl-	Chess Tiger 15	2696	10	10	3039	20
1594	 Wh-	Chess Tiger 2007.1	2776	9	9	3576	
1667	 Bl-	Chess Tiger 2007.1	2761	9	9	3576	15
1369	 Wh-	Crafty 23.3	2820	11	11	3241	
1613	 Bl-	Crafty 23.3	2773	12	12	3242	47
192	 Wh-	Critter 0.90 64-bit	3116	11	11	3145	
254	 Bl-	Critter 0.90 64-bit	3078	10	10	3144	38
97	 Wh-	Critter 1.2	3169	11	11	3143	
158	 Bl-	Critter 1.2	3135	10	10	3141	34
51	 Wh-	Critter 1.4 64-bit	3202	11	11	3312	
102	 Bl-	Critter 1.4 64-bit	3166	10	10	3305	36
448	 Wh-	Deep Fritz 12	2994	8	8	4729	
514	 Bl-	Deep Fritz 12	2978	8	8	4728	16
1173	 Wh-	Fritz 10	2855	10	10	3321	
1212	 Bl-	Fritz 10	2849	10	10	3330	6
647	 Wh-	Fritz 11	2947	8	8	5148	
739	 Bl-	Fritz 11	2928	8	8	5257	19
576	 Wh-	Fritz 12	2964	9	9	4152	
615	 Bl-	Fritz 12	2954	9	9	4159	10
325	 Wh-	Fritz 13	3038	9	9	4140	
373	 Bl-	Fritz 13	3020	9	9	4142	18
1342	 Wh-	Fritz 9	2825	9	9	3977	
1452	 Bl-	Fritz 9	2804	9	9	3999	21
1244	 Wh-	Fruit 05/11/03	2843	8	8	4929	
1283	 Bl-	Fruit 05/11/03	2836	8	8	4930	7
1402	 Wh-	Fruit 2.2.1	2815	7	7	6393	
1441	 Bl-	Fruit 2.2.1	2807	7	7	6339	8
1986	 Wh-	Gandalf 6	2709	8	8	4702	
2162	 Bl-	Gandalf 6	2687	8	8	4694	22
446	 Wh-	Gull 1.2	2995	9	9	4312	
538	 Bl-	Gull 1.2	2973	9	9	4317	22
947	 Wh-	Hannibal 1.0a	2893	9	9	3863	
1111	 Bl-	Hannibal 1.0a	2866	10	10	3858	27
574	 Wh-	Hannibal 1.1	2965	10	10	3664	
707	 Bl-	Hannibal 1.1	2935	10	10	3664	30
972	 Wh-	Hiarcs 12.1	2889	8	8	5248	
1092	 Bl-	Hiarcs 12.1	2870	8	8	5244	19
612	 Wh-	Hiarcs 13.1	2955	8	8	4668	
682	 Bl-	Hiarcs 13.1	2939	8	8	4665	16
503	 Wh-	Hiarcs 13.2	2980	7	7	6453	
588	 Bl-	Hiarcs 13.2	2961	7	7	6449	19
42	 Wh-	Houdini 1.5	3212	11	11	3799	
74	 Bl-	Houdini 1.5	3183	10	10	3800	29
1234	 Wh-	Jonny 4.00	2845	8	8	6241	
1395	 Bl-	Jonny 4.00	2817	8	8	6238	28
1037	 Wh-	Junior 11.1a	2880	10	10	3548	
1137	 Bl-	Junior 11.1a	2861	10	10	3547	19
916	 Wh-	Junior 11.2	2898	10	10	3691	
1051	 Bl-	Junior 11.2	2877	10	10	3689	21
789	 Wh-	Junior 12	2919	9	9	4229	
898	 Bl-	Junior 12	2901	9	9	4228	18
563	 Wh-	Junior 12.5	2968	9	9	4207	
705	 Bl-	Junior 12.5	2935	9	9	4205	33
1800	 Wh-	Junior 9	2737	11	11	3046	
1862	 Bl-	Junior 9	2725	10	10	3041	12
430	 Wh-	Komodo 1.2	3002	9	9	3588	
486	 Bl-	Komodo 1.2	2984	9	9	3588	18
352	 Wh-	Komodo 1.3	3028	10	10	3059	
410	 Bl-	Komodo 1.3	3007	10	10	3058	21
73	 Wh-	Komodo 3 64-bit	3184	11	11	3127	
124	 Bl-	Komodo 3 64-bit	3154	11	11	3126	30
70	 Wh-	Komodo 4 64-bit	3186	11	11	3314	
88	 Bl-	Komodo 4 64-bit	3172	10	10	3313	14
1519	 Wh-	Ktulu 8	2791	9	9	4302	
1633	 Bl-	Ktulu 8	2768	9	9	4328	23
1265	 Wh-	Loop 2007	2839	8	8	4950	
1396	 Bl-	Loop 2007	2817	9	9	4950	22
405	 Wh-	Naum 4	3009	10	10	3111	
493	 Bl-	Naum 4	2982	10	10	3110	27
308	 Wh-	Naum 4.2	3046	7	7	7748	
360	 Bl-	Naum 4.2	3025	6	6	7752	21
289	 Wh-	Naum 4.2 64-bit	3056	9	9	4428	
305	 Bl-	Naum 4.2 64-bit	3046	9	9	4421	10
1005	 Wh-	Onno 1.1.1	2883	9	9	3943	
1089	 Bl-	Onno 1.1.1	2870	9	9	3942	13
1021	 Wh-	Onno 1.2.70	2882	8	8	5207	
1098	 Bl-	Onno 1.2.70	2869	8	8	5208	13
854	 Wh-	Protector 1.3.2	2908	9	9	3532	
929	 Bl-	Protector 1.3.2	2896	10	10	3531	12
633	 Wh-	Protector 1.4.0	2952	8	8	4680	
617	 Bl-	Protector 1.4.0	2954	8	8	4668	-2
2413	 Wh-	Pseudo 0.7c	2656	10	10	3024	
2531	 Bl-	Pseudo 0.7c	2641	10	10	3019	15
2123	 Wh-	Ruffian 2.1.0	2694	9	9	3812	
2209	 Bl-	Ruffian 2.1.0	2681	9	9	3784	13
1080	 Wh-	Rybka 1.0 Beta	2872	8	8	5473	
1243	 Bl-	Rybka 1.0 Beta	2843	8	8	5438	29
428	 Wh-	Rybka 2.3.2a	3003	7	7	6161	
499	 Bl-	Rybka 2.3.2a	2981	7	7	6166	22
222	 Wh-	Rybka 3	3100	8	8	5986	
279	 Bl-	Rybka 3	3066	7	7	5980	34
174	 Wh-	Rybka 3 64-bit	3127	11	11	3010	
202	 Bl-	Rybka 3 64-bit	3111	10	10	3013	16
43	 Wh-	Rybka 3 64-bit 4CPU	3212	11	11	3166	
77	 Bl-	Rybka 3 64-bit 4CPU	3182	10	10	3183	30
137	 Wh-	Rybka 4	3148	9	9	4420	
187	 Bl-	Rybka 4	3119	9	9	4418	29
87	 Wh-	Rybka 4.1 64-bit	3174	9	9	4862	
130	 Bl-	Rybka 4.1 64-bit	3151	8	8	4856	23
1275	 Wh-	Shredder 10	2836	8	8	5689	
1348	 Bl-	Shredder 10	2824	8	8	5694	12
766	 Wh-	Shredder 11	2923	8	8	5571	
917	 Bl-	Shredder 11	2898	8	8	5555	25
425	 Wh-	Shredder 11 4CPU	3003	10	10	3254	
530	 Bl-	Shredder 11 4CPU	2974	10	10	3265	29
356	 Wh-	Shredder 12	3026	5	5	14364	
442	 Bl-	Shredder 12	2996	5	5	14385	30
210	 Wh-	Shredder 12 4CPU	3106	9	9	3529	
260	 Bl-	Shredder 12 4CPU	3074	9	9	3531	32
1474	 Wh-	Shredder 9.1	2800	8	8	4810	
1587	 Bl-	Shredder 9.1	2778	8	8	4822	22
387	 Wh-	Sjeng c't 2010	3016	6	6	8071	
456	 Bl-	Sjeng c't 2010	2991	6	6	8073	25
897	 Wh-	Sjeng WC 2008	2901	7	7	5722	
1073	 Bl-	Sjeng WC 2008	2874	8	8	5718	27
2040	 Wh-	Slow Chess Blitz WV2.1	2703	10	10	3532	
2182	 Bl-	Slow Chess Blitz WV2.1	2684	10	10	3544	19
2545	 Wh-	SOS 5.1	2640	10	10	3518	
2612	 Bl-	SOS 5.1	2632	10	10	3517	8
828	 Wh-	Spark 0.4	2912	10	10	3230	
884	 Bl-	Spark 0.4	2904	10	10	3229	8
1425	 Wh-	Spike 1.2	2810	5	5	11706	
1506	 Bl-	Spike 1.2	2793	5	5	11713	17
423	 Wh-	Spike 1.4	3003	7	7	7459	
466	 Bl-	Spike 1.4	2988	7	7	7461	15
151	 Wh-	Stockfish 2.1.1	3141	11	11	3050	
181	 Bl-	Stockfish 2.1.1	3122	10	10	3048	19
692	 Wh-	Thinker 5.4d Inert	2938	9	9	3945	
735	 Bl-	Thinker 5.4d Inert	2929	9	9	3944	9
653	 Wh-	Thinker 5.4d Inert 64-bit	2945	10	10	3198	
688	 Bl-	Thinker 5.4d Inert 64-bit	2938	10	10	3199	7
1274	 Wh-	Toga II 1.2.1a	2837	8	8	5334	
1365	 Bl-	Toga II 1.2.1a	2821	8	8	5345	16
1009	 Wh-	Toga II 1.4 Beta5c BB	2883	9	9	4150	
1086	 Bl-	Toga II 1.4 Beta5c BB	2871	9	9	4150	12
1378	 Wh-	Twisted Logic 20100131x	2819	10	10	3068	
1527	 Bl-	Twisted Logic 20100131x	2790	11	11	3067	29
1188	 Wh-	Umko 1.1 64-bit	2853	10	10	3717	
1286	 Bl-	Umko 1.1 64-bit	2835	10	10	3716	18
1040	 Wh-	Umko 1.2 64-bit	2880	11	11	3031	
1055	 Bl-	Umko 1.2 64-bit	2876	11	11	3028	4
806	 Wh-	Zappa Mexico II	2916	6	6	9242	
974	 Bl-	Zappa Mexico II	2889	6	6	9243	27
654	 Wh-	Zappa Mexico II 64-bit	2945	8	8	4680	
726	 Bl-	Zappa Mexico II 64-bit	2931	8	8	4679	14
295	 Wh-	Zappa Mexico II 64-bit 4CPU	3052	9	9	3821	
336	 Bl-	Zappa Mexico II 64-bit 4CPU	3035	9	9	3819	17
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