CCRL 40/4
Downloads and Statistics
August 28, 2010
Testing summary:
Total: 670'332 games
played by 925 programs
10177 CPU days (X2 4600+)

White wins: 259'771 (38.8%)
Black wins: 206'654 (30.8%)
Draws: 203'907 (30.4%)
White score: 54.0%

Engine Details

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Show each game results
Hiarcs 12 (2935+7
−8		)Quote
Author: Mark Uniacke (England) Link: Homepage
This is one of the 33 Hiarcs versions we tested: Compare them!
OpponentELODiffResultsScoreLOSPerf
–   Rybka 4 TC3100100 64-bit3211+14
−13		(+276)10.5 − 39.5
(+2−31=17)
21.0%
10.5 / 50
0.0%
+77
= 0 0 0 = 0 = = = 0 = 0 0 = 1 0 = 0 0 0 0 0 0 = 0 0 0 = 0 0 = 0 = 0 = = 0 0 0 = 1 0 0 = = 0 0 0 0 0
–   Rybka 4 TC390140 64-bit3209+22
−21		(+274)6 − 44
(+2−40=8)
12.0%
6.0 / 50
0.0%
−46
0 0 0 0 0 1 0 0 0 = 0 0 = 0 0 0 0 = 0 0 0 = 0 = 0 0 0 0 0 0 0 0 0 0 0 0 = 1 0 0 0 0 0 0 0 0 = = 0 0
–   Rybka 4 TC3120140 64-bit3202+20
−20		(+267)6 − 44
(+2−40=8)
12.0%
6.0 / 50
0.0%
−53
0 0 0 0 0 0 1 0 0 0 0 0 = 0 0 0 0 0 0 0 0 = 0 0 0 = 0 0 = 0 0 0 0 = = 0 0 0 0 = 0 0 0 1 = 0 0 0 0 0
–   Rybka 4 KS1 64-bit3201+16
−16		(+266)8.5 − 41.5
(+3−36=11)
17.0%
8.5 / 50
0.0%
+11
0 = 0 = 0 0 0 0 = 0 = = 0 = 0 1 = 1 0 0 0 0 0 0 1 0 = = 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 = 0 0 0 =
–   Rybka 4 C13510 64-bit3199+15
−15		(+264)7.5 − 42.5
(+2−37=11)
15.0%
7.5 / 50
0.0%
−8
0 0 1 0 0 = 0 0 0 = 0 0 0 0 = 0 = 0 = 0 = 0 = 0 = 0 0 0 0 0 = 0 0 0 1 = 0 0 0 0 0 0 0 0 = 0 0 0 0 0
–   Rybka 4 64-bit3199+14
−13		(+264)11 − 39
(+3−31=16)
22.0%
11.0 / 50
0.0%
+70
0 0 = 0 0 0 0 0 0 0 0 0 0 0 0 = = 0 0 = = = = 0 0 = 0 = = 0 1 0 = 0 = 0 0 0 1 = = 0 0 = 0 0 0 0 1 =
–   Rybka 4 TC3100150 64-bit3198+15
−15		(+263)8.5 − 41.5
(+3−36=11)
17.0%
8.5 / 50
0.0%
+7
= = 0 0 0 0 = 0 = 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 = 0 = 0 0 0 0 = = 0 = 0 = 0 0 0 0 0 0 0 = 0 0 0
–   Rybka 3 64-bit3176+7
−7		(+241)16 − 74
(+4−62=24)
17.8%
16.0 / 90
0.0%
+3
= 0 0 0 0 0 0 0 0 0 0 0 0 = 0 = 0 0 0 0 0 0 0 = = 0 = = 0 0 = 0 0 0 0 0 = 0 = 0 0 0 = 0 = 0 0 1 0 = 1 = 0 = 0 0 0 0 0 0 0 = 0 0 0 = 0 0 0 1 = 0 = 0 = 0 1 0 = 0 0 0 0 0 0 = = 0 0 =
–   Rybka 3 Human 64-bit3157+25
−24		(+222)8.5 − 41.5
(+4−37=9)
17.0%
8.5 / 50
0.0%
−41
0 1 0 0 0 = = 1 0 0 = 0 0 0 0 0 0 1 0 0 0 = 0 0 0 = 0 = 0 0 0 0 0 0 0 = 0 = 0 0 0 = 0 0 0 0 0 1 0 0
–   Stockfish 1.7.1 64-bit3142+13
−13		(+207)5.5 − 26.5
(+2−23=7)
17.2%
5.5 / 32
0.0%
−47
0 0 = 0 0 1 = 0 0 0 = 0 0 0 0 0 0 0 0 1 0 = = = 0 0 = 0 0 0 0 0
–   Rybka 3 Dynamic 64-bit3138+24
−23		(+203)16.5 − 33.5
(+8−25=17)
33.0%
16.5 / 50
0.0%
+87
1 0 1 0 0 0 0 1 0 0 = = 0 = 0 1 = = 0 = 1 0 0 = 0 = 0 1 0 = = = 0 0 1 = = = 0 = 0 0 0 = = 1 0 0 0 0
–   Stockfish 1.6.3 64-bit3084+14
−14		(+149)11 − 47
(+5−41=12)
19.0%
11.0 / 58
0.0%
−91
= 0 0 0 = 0 0 0 0 0 0 0 0 0 = 1 0 = = 0 0 0 0 1 0 1 0 0 = = 0 0 1 0 = 0 = 0 1 0 0 = 0 = 0 0 0 0 0 0 = 0 0 0 0 0 0 0
–   Naum 4.2 64-bit3080+13
−13		(+145)12.5 − 37.5
(+2−27=21)
25.0%
12.5 / 50
0.0%
−16
0 0 = 0 = 0 = = 0 0 = 0 = = 0 0 = 0 1 0 0 0 = 0 = = 0 = 0 = = 1 0 0 = = 0 0 = 0 0 0 = 0 = 0 0 0 = =
–   Stockfish 1.6s JA 64-bit3077+15
−15		(+142)17 − 37
(+6−26=22)
31.5%
17.0 / 54
0.0%
+24
0 0 0 0 = = 0 0 0 0 1 0 = 0 = = = = 0 0 1 0 0 1 = = = = = = 0 0 0 0 0 = 0 0 1 = 0 0 = = = 0 = = 0 = 1 = 0 1
–   Rybka 2.3.2a 64-bit3074+7
−7		(+139)16 − 34
(+7−25=18)
32.0%
16.0 / 50
0.0%
+20
= 0 = 1 1 = 0 0 = 1 0 = 0 0 0 0 0 0 = = 0 0 = = 1 0 0 1 0 0 0 0 0 0 0 = = = = 0 1 1 = = 0 = 0 = = 0
–   Deep Shredder 12 64-bit OA On 1CPU3054+12
−12		(+119)18 − 39
(+8−29=20)
31.6%
18.0 / 57
0.0%
−2
1 = = 0 0 1 0 1 0 1 0 0 0 0 0 = 0 1 0 0 0 = 0 0 0 0 = = 1 0 = = 1 = = 0 = 0 1 0 0 = 0 = = = 0 = = 0 0 = = 0 = 0 0
–   Naum 4.1 64-bit3053+17
−17		(+118)13.5 − 26.5
(+9−22=9)
33.8%
13.5 / 40
0.0%
−1
0 = = 1 1 1 0 0 0 = = 0 0 1 0 0 0 1 0 1 1 = 1 = = 0 = 0 0 0 = 0 0 0 0 0 0 1 0 0
–   Shredder 12 OA on3050+16
−16		(+115)17.5 − 32.5
(+9−24=17)
35.0%
17.5 / 50
0.0%
+14
0 = 0 1 1 1 0 = = 0 0 = = 1 = 1 0 = = 1 = = = = 0 0 0 0 1 0 0 0 0 = 0 = 0 0 0 = = 1 0 0 1 0 0 = 0 0
–   Naum 4 64-bit PL-53046+17
−17		(+111)13.5 − 36.5
(+4−27=19)
27.0%
13.5 / 50
0.0%
−39
= = 0 = = 0 0 = 0 = 0 = = = = = 0 0 0 0 0 0 = = 0 0 = 0 0 0 = = 0 0 0 0 = = = 0 0 0 0 0 1 1 1 0 0 1
–   Naum 4 64-bit3045+10
−10		(+110)22.5 − 35.5
(+10−23=25)
38.8%
22.5 / 58
0.0%
+40
= 0 = = = 0 = 0 1 0 1 0 0 = 1 = = = = 0 = 0 0 0 0 0 0 = = 0 0 0 = = 1 = 0 1 0 = = 1 1 = 0 0 = = 0 0 = 1 1 = = 1 0 =
–   Deep Shredder 12 64-bit OA Off 1CPU3040+53
−52		(+105)1.5 − 2.5
(+0−1=3)		37.5%
1.5 / 4
0.0%
+38
= = = 0
–   Komodo 1.0 64-bit3027+11
−10		(+92)16.5 − 23.5
(+7−14=19)
41.3%
16.5 / 40
0.0%
+39
1 0 1 = = 0 = 0 = 0 0 = = 1 1 0 0 0 = = 0 = = = 0 = = 0 1 0 1 0 = = = = 1 = = 0
–   Fritz 123011+11
−12		(+76)21.5 − 36.5
(+15−30=13)
37.1%
21.5 / 58
0.0%
−16
0 0 0 0 = 0 1 1 0 1 1 0 0 0 = = 0 = 1 0 0 1 0 = = 1 0 1 0 0 1 0 0 0 0 = = 1 0 0 0 0 = = = 1 0 0 1 1 = 1 0 0 = 0 1 0
–   Stockfish 1.5.1 64-bit3007+17
−16		(+72)15.5 − 34.5
(+6−25=19)
31.0%
15.5 / 50
0.0%
−50
0 0 0 0 0 0 0 = 0 = 0 0 0 = = 0 = = 0 0 1 0 = 0 0 0 = 1 = 1 = 0 0 0 0 = = = = 0 0 = 0 1 = = 1 1 = =
–   Doch 1.3.4 64-bit2989+19
−19		(+54)20.5 − 19.5
(+13−12=15)
51.3%
20.5 / 40
0.0%
+59
= = 1 0 1 0 = 1 = 0 0 1 = 1 1 = 1 1 = 0 0 1 1 0 1 = 1 0 = 0 1 0 = = 0 = 0 = = =
–   Fritz 112985+8
−8		(+50)3.5 − 4.5
(+3−4=1)		43.8%
3.5 / 8
0.0%
+3
0 1 1 0 0 1 0 =
–   Thinker 5.4d Inert 64-bit2984+15
−15		(+49)13 − 27
(+7−21=12)
32.5%
13.0 / 40
0.0%
−71
0 1 0 0 0 = = = 0 = = 0 0 0 1 1 = = 0 = 0 1 0 0 1 = 0 0 1 = 0 1 0 0 = 0 = 0 0 0
–   Thinker 5.4c Inert 64-bit2983+9
−10		(+48)19.5 − 38.5
(+11−30=17)
33.6%
19.5 / 58
0.0%
−64
0 0 0 1 1 = = 0 0 = 0 0 0 0 0 = 0 0 = 0 = 0 1 0 = 0 0 0 1 1 = = 1 0 1 1 0 = 0 0 = = 0 1 1 0 0 = 0 = = = 0 1 0 0 0 =
–   Spark 0.4 64-bit2981+11
−11		(+46)26 − 24
(+19−17=14)
52.0%
26.0 / 50
0.0%
+58
1 = = = 0 = 0 0 0 0 0 1 = 0 = 1 0 1 0 0 0 = 1 = 1 = 1 1 = 1 1 1 0 1 1 1 1 0 0 = 1 0 0 1 1 = = 1 = 0
–   Thinker 5.4a Inert 64-bit2976+14
−14		(+41)24 − 26
(+14−16=20)
48.0%
24.0 / 50
0.0%
+30
= = 1 1 1 = = 0 0 = 1 = 1 0 1 = = 0 1 1 0 = 0 = 1 = = 0 1 0 = = 0 = 1 = 0 0 1 = 1 0 = = 0 0 0 0 = 1
–   Stockfish 1.4 64-bit2970+18
−18		(+35)20.5 − 29.5
(+9−18=23)
41.0%
20.5 / 50
0.0%
−20
0 0 0 0 = 1 = 0 = = 0 1 = 0 1 = = = 0 0 = 1 = = = 0 1 = = 0 0 0 = = = 1 1 0 0 = = = 0 = 1 = 0 = 1 0
–   Naum 3.1 64-bit PTnormal2964+19
−19		(+29)25.5 − 24.5
(+17−16=17)
51.0%
25.5 / 50
0.2%
+35
= 0 0 0 = 0 1 = 1 0 = = = 1 0 0 = 1 0 1 1 0 1 1 = = 1 0 0 0 1 0 0 0 = 1 1 1 = = 1 = 0 1 = = 1 = 1 =
–   Doch 1.2 64-bit2961+17
−17		(+26)10 − 8
(+4−2=12)		55.6%
10.0 / 18
0.3%
+55
= 1 1 = 1 0 = 0 = = = = = = 1 = = =
–   Thinker 5.3b Inert 64-bit2961+19
−19		(+26)20.5 − 29.5
(+13−22=15)
41.0%
20.5 / 50
1.0%
−34
0 1 0 0 1 0 0 1 0 1 0 0 = = 0 1 1 = = 0 0 = = = = 0 = 1 1 = 0 1 1 0 1 1 0 1 = = 0 0 0 0 = 0 0 = = 0
–   Critter 0.60 64-bit2959+15
−15		(+24)20 − 27
(+10−17=20)
42.6%
20.0 / 47
0.3%
−21
0 0 1 = = 0 0 = 0 1 = = 0 1 0 0 = = = = 1 = = 0 0 = 1 0 0 1 = = = 0 1 1 0 0 = 0 = = = = 0 1 1
–   Naum 3.1 64-bit PL52958+19
−19		(+23)25.5 − 24.5
(+15−14=21)
51.0%
25.5 / 50
1.1%
+31
1 = = = 1 = 1 1 0 = 1 = = = = 1 1 = 0 = 0 1 = 1 1 0 = 1 = = 1 0 = = = 0 0 = 0 0 0 0 1 = 0 0 1 0 1 =
–   Naum 3.1 64-bit2957+9
−9		(+22)31.5 − 50.5
(+18−37=27)
38.4%
31.5 / 82
0.0%
−57
0 = = 0 0 = 1 = 1 0 0 1 0 1 = 0 = = 0 0 1 = = = = 0 0 0 = 0 0 0 = 0 1 0 0 1 = 1 0 = = 0 = 0 0 0 = = = 1 0 1 1 0 1 0 = 0 = 0 1 0 = 0 0 0 = 1 1 = 1 0 = 0 0 0 = 1 1 0
–   Doch 09.980 64-bit2955+16
−16		(+20)22 − 28
(+15−21=14)
44.0%
22.0 / 50
1.4%
−21
0 1 0 = 1 1 = 0 = 0 = 0 0 = 1 0 0 1 0 0 = = 0 0 0 1 1 = 0 0 = 1 = = 0 = 1 0 1 0 0 1 1 1 1 0 0 = = 1
–   Protector 1.3.4 64-bit2955+16
−16		(+20)13.5 − 18.5
(+7−12=13)
42.2%
13.5 / 32
1.3%
−29
0 1 0 0 0 = = = 0 1 1 0 0 1 = = 0 = = 1 0 = = = = = 0 1 0 1 = 0
–   Naum 3 64-bit2955+9
−9		(+20)22 − 28
(+13−19=18)
44.0%
22.0 / 50
0.0%
−20
= 0 0 0 = = = 0 0 0 = 0 1 1 = 0 1 1 0 0 1 0 1 0 1 0 = 0 0 = = = 1 = = 1 = 1 0 0 0 1 1 = = = = 0 1 =
–   Shredder 112947+12
−12		(+12)27.5 − 15.5
(+22−10=11)
64.0%
27.5 / 43
3.9%
+113
1 0 1 1 1 1 = 0 0 1 0 1 1 1 1 1 = 1 0 1 = 1 = 1 = 1 1 1 = = 1 = 0 1 0 1 = = 0 0 0 1 =
–   Deep Junior 11.2 64-bit 1CPU2944+19
−19		(+9)20.5 − 28.5
(+12−20=17)
41.8%
20.5 / 49
17.4%
−47
= 1 1 0 = 1 0 = 0 0 0 = = 0 0 1 = 1 0 0 0 0 1 = 1 1 0 = 0 0 = 0 = 1 0 0 = 1 = 0 = 0 = = = 0 1 1 =
–   Zappa Mexico II 64-bit2944+7
−7		(+9)37.5 − 52.5
(+22−37=31)
41.7%
37.5 / 90
2.8%
−46
= 1 0 = 0 0 0 = 1 0 = = 1 0 = 1 1 1 0 1 0 = 1 0 0 0 1 0 0 1 = = 0 1 = 0 0 0 0 0 1 = 0 0 = 1 1 0 1 = 0 = = 1 = 1 = 0 1 0 0 0 = 0 0 = 1 = 0 0 = 0 = = = = 0 0 0 1 1 1 0 = = = = 0 = =
–   Naum 3.1 64-bit PL102944+26
−26		(+9)23 − 27
(+15−19=16)
46.0%
23.0 / 50
24.2%
−21
0 1 1 0 0 0 = 0 1 = 0 1 = 1 1 0 = 0 = 1 = 1 0 = 1 0 = 1 = 0 0 0 1 0 = = = 0 1 1 = 0 1 0 = 0 = = 1 0
–   Onno 1.2.70 64-bit2944+18
−18		(+9)25.5 − 24.5
(+14−13=23)
51.0%
25.5 / 50
17.8%
+17
= 1 = 0 1 = 1 0 = 1 = 1 = 1 = 1 = = = 0 = 1 0 = 1 1 = = 0 = = 0 = = = = 0 = 0 1 1 0 0 0 1 0 = 1 = 0
–   Naum 3.1 64-bit PL-102942+26
−26		(+7)27.5 − 22.5
(+18−13=19)
55.0%
27.5 / 50
28.9%
+37
= 0 = 0 0 0 = 0 1 0 1 = = 1 1 = 1 1 1 0 = = = 1 0 = = 0 = 1 = = = = 1 = 1 1 1 1 1 0 1 0 1 1 0 0 = =
–   Stockfish 1.3.1 64-bit2942+19
−19		(+7)29.5 − 20.5
(+21−12=17)
59.0%
29.5 / 50
24.1%
+69
= = 1 = 1 1 1 = = 1 = 1 1 = 1 1 0 = 0 = 1 1 0 0 1 0 = 1 0 = 1 = 1 0 1 0 1 = 1 0 1 1 = 0 0 = 1 = 0 =
–   Spark 0.3 64-bit2942+10
−10		(+7)37.5 − 60.5
(+15−38=45)
38.3%
37.5 / 98
12.1%
−66
= 0 0 = = 1 = 0 = 0 = 0 = 1 = 0 0 0 = 0 = 0 1 = = 1 1 = = = = = 0 = 1 0 = 0 0 = 1 1 = = = 0 = 0 0 = = 0 0 0 0 = 0 = 0 = 0 0 = 1 = 1 = = 0 1 1 0 = 0 0 = = = = = 0 0 0 0 1 = 0 0 0 = = = 0 = 1 1 0 =
–   Deep Shredder 11 64-bit 1CPU2938+8
−7		(+3)41 − 41
(+25−25=32)
50.0%
41.0 / 82
27.7%
+5
= 1 1 0 = 0 1 1 = 0 1 1 = = = 1 0 1 1 0 = 0 = = 1 0 = 0 0 1 = 0 0 0 0 = 1 1 = 1 0 = = = = 0 0 = 1 0 = 1 0 1 0 1 = 1 = = = 1 = = 1 = 1 1 = 1 1 = = 0 0 0 0 = = = 0 0
–   Deep Sjeng 3.0 64-bit 1CPU2938+9
−9		(+3)44.5 − 45.5
(+26−27=37)
49.4%
44.5 / 90
29.8%
0
= = 1 0 = 0 0 0 = = 1 1 1 1 1 = 0 0 = = 1 0 = = 0 1 0 0 = 1 1 1 0 1 0 1 = = 0 0 1 0 0 = 1 0 = 0 1 0 = = = = 1 = = = = = 1 = = 0 0 1 1 0 = = = 1 = = = 0 1 1 0 1 0 = 1 0 1 = 0 = = =
–   Deep Junior 11.1a 64-bit 1CPU2937+13
−13		(+2)32.5 − 32.5
(+23−23=19)
50.0%
32.5 / 65
37.1%
+2
0 1 1 = = 0 1 1 0 = = 1 1 1 1 = = = 1 0 0 1 = 1 1 0 0 0 0 = 0 0 = 0 0 0 1 0 0 = = 1 1 = 0 = 0 = 1 1 = 0 0 1 0 0 1 1 1 1 = 0 = = 1
–   Deep Sjeng WC2008 64-bit 1CPU2937+9
−9		(+2)2.5 − 5.5
(+1−4=3)		31.3%
2.5 / 8
34.2%
−121
0 0 = = 1 0 = 0
–   Onno 0.12.0 64-bit2937+14
−14		(+2)21 − 29
(+12−20=18)
42.0%
21.0 / 50
36.8%
−50
0 0 0 = = = 1 0 0 0 1 1 = 0 = = 1 0 = = = 0 1 0 = = 0 = 1 1 0 = = 0 0 0 0 = 1 0 = = 0 0 1 1 = 1 1 0
–   Onno 1.1.1 64-bit2936+11
−11		(+1)30.5 − 27.5
(+18−15=25)
52.6%
30.5 / 58
42.5%
+16
= 0 1 = 1 1 = = 0 1 = 0 = 1 1 0 = 0 0 0 = 1 1 = = = 1 1 1 1 0 0 0 = 1 0 1 = 1 = = 0 = = = 0 = = 1 = = 0 = = 1 = 0 1
–   Onno 1.0.0 64-bit2935+15
−15		(0)25 − 25
(+15−15=20)
50.0%
25.0 / 50
50.4%
0
1 1 = = = 1 1 0 1 1 0 0 0 0 1 0 0 = = 0 1 = = = = 1 = 1 = 0 1 = 1 0 0 = = 0 = = = 1 1 0 1 = = 0 0 =
–   Toga II 1.4.19SE2935+21
−21		(0)25 − 25
(+17−17=16)
50.0%
25.0 / 50
49.6%
0
= 0 1 1 1 = 0 = = 1 0 1 0 1 1 0 = 0 = 1 0 0 0 1 0 1 = 0 1 1 = = 0 = 0 = 0 = 0 = = 1 0 = 1 = 0 1 1 1
–   Toga II 1.4.3JD beta132935+16
−16		(0)26 − 24
(+16−14=20)
52.0%
26.0 / 50
51.4%
+14
= = 0 = = 1 = 1 0 = = = 1 = = 1 1 1 0 1 = 0 0 1 0 1 = = = 1 1 0 1 1 0 0 1 = = 0 1 0 = = = 0 = 1 0 0
–   Toga II 1.4.24SE2934+21
−21		(−1)23.5 − 26.5
(+16−19=15)
47.0%
23.5 / 50
53.2%
−20
1 1 = 1 = = = 0 0 = 0 1 1 = 0 0 0 0 0 0 0 1 1 = = 0 0 1 1 0 0 1 = = 0 1 0 = = 1 0 1 = 1 = 1 0 1 0 =
–   Toga II 1.4.3JD beta19a2934+12
−12		(−1)27 − 23
(+18−14=18)
54.0%
27.0 / 50
54.4%
+25
= 1 = 0 1 0 0 1 1 0 = 0 0 = = 0 1 0 1 1 1 = 0 1 0 = 1 = = 1 = 1 1 = 1 = 0 1 = 1 0 = 0 = = 0 1 1 = =
–   Toga II 1.4.1SE6 EFM1002931+24
−24		(−4)25.5 − 22.5
(+15−12=21)
53.1%
25.5 / 48
62.0%
+13
= 1 = = 0 1 = 0 0 = = 1 0 = 1 = 1 = = = 1 1 1 0 0 = 0 = 1 1 = 0 1 1 1 = 1 0 0 = 1 = = 0 = = 0 =
–   Toga II 1.4 beta5c WHM(31)2931+27
−27		(−4)20 − 26
(+15−21=10)
43.5%
20.0 / 46
60.5%
−51
= 0 0 1 0 = = 0 = 0 0 1 1 0 1 0 0 = = = 0 = 0 0 1 0 1 1 0 0 1 0 0 1 1 1 1 0 0 1 0 1 1 = 0 =
–   Toga II 1.4.25SE2930+21
−21		(−5)26 − 24
(+15−13=22)
52.0%
26.0 / 50
66.8%
+7
0 1 = 1 1 1 1 = = = 0 = 0 = 1 = 1 = = 0 1 1 1 = 0 1 1 0 0 = = = 0 0 = 1 1 0 = 0 = = = 0 = 0 = 1 = =
–   Hiarcs 12.12930+12
−12		(−5)3.5 − 4.5
(+0−1=7)		43.8%
3.5 / 8
76.6%
−36
= = = = = = = 0
–   Toga II 1.4.18SE2930+21
−21		(−5)29.5 − 20.5
(+19−10=21)
59.0%
29.5 / 50
68.0%
+47
1 0 0 = 1 1 0 1 = = 1 = = 1 1 = 1 1 1 = 0 = 1 = = = 1 1 = = = = 1 1 = 1 0 = 1 = 0 = 0 = 1 = 1 0 0 0
–   Toga II 1.4.3JD beta72930+17
−17		(−5)23 − 27
(+11−15=24)
46.0%
23.0 / 50
67.7%
−30
0 1 1 = 0 1 = = 0 0 = 1 0 = = = = 0 = 0 = 0 = 1 1 = 1 = 1 = = 1 = 0 0 0 = 0 1 = 1 0 = = = = = 0 = 0
–   Toga II 1.4.15SE2929+19
−19		(−6)20.5 − 29.5
(+10−19=21)
41.0%
20.5 / 50
71.0%
−64
0 = 0 = 0 = 1 = 0 = 1 = = 1 = = 0 0 = = = 0 = 0 = 0 1 0 0 1 0 = 1 1 = 1 = 0 0 1 0 = 0 = 0 1 0 = 0 =
–   Zappa Mexico II WD 64-bit2927+23
−24		(−8)28 − 22
(+20−14=16)
56.0%
28.0 / 50
73.7%
+31
= 1 0 0 0 = 0 1 1 1 = 1 1 = 0 = 0 1 1 = = 1 = 1 = 1 1 = 0 = 0 1 0 1 1 = 0 = 0 0 = 0 0 1 = 1 1 1 1 =
–   Toga II 1.5 Merge b22927+21
−21		(−8)22 − 28
(+13−19=18)
44.0%
22.0 / 50
75.1%
−46
0 0 0 1 1 1 1 1 0 = = 1 = 1 0 = = 1 0 1 1 0 0 = 0 0 = 0 0 = = = = 1 1 0 = 1 = 0 0 = 0 = = = 0 = 0 0
–   Toga II 1.4.17SE2926+21
−21		(−9)26.5 − 23.5
(+21−18=11)
53.0%
26.5 / 50
78.9%
+15
1 0 = 0 1 1 0 1 0 1 0 0 1 0 1 0 1 = = 1 = 1 = = 1 1 1 0 0 1 0 = 1 1 = 1 = 1 = 0 0 0 = 0 0 0 1 1 1 0
–   Toga II 1.4.1SE62924+23
−23		(−11)26.5 − 23.5
(+18−15=17)
53.0%
26.5 / 50
81.5%
+11
= 1 1 = 1 = 0 1 1 = = = 1 0 1 0 0 0 1 0 0 = = 0 = = = = 1 0 1 = 0 0 0 = 1 = 1 = 1 = 1 0 1 0 0 1 1 1
–   Toga II 1.4.2JD2923+20
−20		(−12)24.5 − 24.5
(+17−17=15)
50.0%
24.5 / 49
86.2%
−11
1 0 = = 0 1 1 = 1 0 1 1 0 1 0 1 = = = 0 0 0 0 1 0 = = 1 1 = 0 0 = = = = 0 0 1 1 0 1 1 0 1 = = 1 0
–   Toga II 1.4.3SE2923+20
−20		(−12)27.5 − 22.5
(+19−14=17)
55.0%
27.5 / 50
86.4%
+23
0 = = = = = = 1 = 1 = = = 1 = 1 0 = 0 1 1 1 0 1 0 0 = 1 = 0 = 0 1 0 1 1 = 1 1 0 0 1 0 1 0 1 = 1 0 1
–   Toga II 1.4.4SE2923+20
−20		(−12)27 − 23
(+17−13=20)
54.0%
27.0 / 50
85.9%
+16
= = = 1 0 = = 1 = 1 = 1 0 = = 1 0 1 = 1 = 0 = 0 = 1 1 = 1 0 1 = 0 = 1 1 1 1 = 0 = 0 = 0 = 0 0 1 1 0
–   Toga II 1.4.1SE2922+10
−10		(−13)24 − 26
(+13−15=22)
48.0%
24.0 / 50
98.0%
−25
1 = 1 1 = 0 = = = 0 1 = = 0 1 0 = = = = = = = 0 0 0 1 = 0 = 0 0 0 0 = = = = 0 1 1 = 1 0 0 1 1 1 = 1
–   Toga II 1.4.1SE132921+17
−17		(−14)52 − 48
(+31−27=42)
52.0%
52.0 / 100
93.0%
−3
= = = 1 = 1 0 = 1 1 1 = 1 = 0 = = 0 = 1 1 = 1 0 1 1 = 0 0 0 1 1 0 = 1 1 = 0 = 0 1 = = 0 1 0 = 1 = = = = 1 1 0 = 0 = 0 = 0 = = 0 0 0 1 = 1 = 1 = = = 0 = 0 = = = 0 0 0 = 1 1 1 1 1 = = 1 = 1 0 = = 0 1 0
–   Toga II 1.4.8bJD2921+21
−21		(−14)23.5 − 26.5
(+16−19=15)
47.0%
23.5 / 50
89.7%
−35
0 0 = = 1 0 1 0 0 = 1 = 1 = 0 1 1 = 0 0 1 1 = 1 0 = 0 0 = 0 = 1 0 = 0 0 0 0 1 1 = = = 1 1 = 0 0 1 1
–   Toga II 1.4 beta5c2921+13
−13		(−14)73 − 76
(+44−47=58)
49.0%
73.0 / 149
97.6%
−21
1 = = = = 0 = 1 1 1 0 0 = 1 = 0 = 0 1 0 0 0 0 = 1 = 0 1 = = 0 0 0 = 1 = 0 = 0 1 0 1 = 0 0 1 1 1 1 = 0 = 1 1 1 = 1 1 0 0 = 1 = 0 = 1 = 0 = = 1 0 = 1 1 0 1 1 = = = 0 0 = = 0 0 = 0 = = 0 = = = 0 1 = = = 0 0 = = 1 = 0 1 = 1 0 1 = 0 0 0 = = = 1 = = 1 = 1 = 1 0 1 0 = = = 0 1 1 0 1 1 0 = 0 = = 1 0 1 0 1
–   Toga II 1.4 beta5c WHM(31Positional)2921+27
−27		(−14)24.5 − 20.5
(+15−11=19)
54.4%
24.5 / 45
84.1%
+16
= = 1 = 1 1 = 1 1 1 1 0 = 1 = 0 = 1 0 0 0 1 = 0 1 1 = = 1 0 = 0 1 = = = 1 = = = 0 = = 0 0
–   Toga II 1.4.17SE GSon SSon2920+16
−16		(−15)43 − 46
(+29−32=28)
48.3%
43.0 / 89
94.9%
−27
1 0 0 0 = 1 0 = = 1 = 0 0 0 0 1 = 1 0 1 = 1 0 = 1 = 1 0 0 = 0 1 0 1 0 1 0 = 1 = 0 1 = 1 1 = 1 = 1 1 0 = = = 0 1 = 0 0 = 1 1 0 1 1 = = = = 1 0 0 0 = 0 = 1 = 0 1 0 0 = 1 0 0 1 = 0
–   Toga II 1.4.6JD2919+21
−21		(−16)26 − 24
(+18−16=16)
52.0%
26.0 / 50
91.7%
−3
= 0 = 1 0 1 1 = 0 1 1 1 = = 0 1 1 = = 1 1 1 0 = 0 = 0 1 0 = 1 0 1 1 0 = 0 1 0 0 = = = = 0 1 0 0 = 1
–   Toga II 1.4.11SE2918+21
−21		(−17)28.5 − 21.5
(+21−14=15)
57.0%
28.5 / 50
92.9%
+31
1 = 0 1 0 1 = 1 0 0 1 0 0 = = = = 0 = 1 0 = 1 1 0 1 1 1 = 1 1 1 1 1 = = 0 0 0 0 = 0 1 1 1 = = 1 1 =
–   Learning TogaII14 12b2917+27
−27		(−18)26.5 − 22.5
(+14−10=25)
54.1%
26.5 / 49
90.0%
+7
1 1 0 = = 1 0 = 0 = 1 = 1 1 = = = = 0 1 1 = 1 = 0 1 = = = = 1 = = = = = = 1 0 = 1 0 0 = = 0 = 1 0
–   Thinker 5.3b Passive 64-bit2917+26
−26		(−18)26.5 − 23.5
(+19−16=15)
53.0%
26.5 / 50
90.8%
+1
1 0 1 1 = = 0 = 1 1 1 0 0 1 1 1 0 0 = = 1 0 1 1 0 1 0 = = 1 = = = 0 0 = = 1 1 1 0 0 0 = = 1 0 = 0 1
–   Toga II 1.4.13SE2916+21
−21		(−19)24 − 26
(+13−15=22)
48.0%
24.0 / 50
95.7%
−29
= = 0 0 1 = = = 1 = = 0 1 = 0 1 0 0 = 0 = 0 1 1 0 = 0 0 = = = 1 = 1 = 0 = 1 1 1 = 0 = 1 1 = = = 0 0
–   Toga II 1.4.17SE GSon SSoff2916+21
−21		(−19)26 − 24
(+20−18=12)
52.0%
26.0 / 50
95.5%
−3
0 1 1 1 = = 0 0 = 0 1 = 1 1 = = = 0 = = 0 1 0 1 = 1 = 0 1 0 0 1 1 1 0 1 1 1 0 1 0 0 1 = 0 0 0 0 1 1
–   Toga II 1.4.1SE Nemeth2916+23
−23		(−19)26.5 − 23.5
(+16−13=21)
53.0%
26.5 / 50
93.6%
−1
0 = 1 = = 1 1 = 1 1 0 1 = = 1 0 0 = = 1 = 1 = 0 = 0 = = = 1 = 1 0 0 1 1 = = = = = 0 1 0 0 0 1 = 0 1
–   Toga II 1.5 Merge b32916+21
−21		(−19)27 − 23
(+19−15=16)
54.0%
27.0 / 50
94.9%
+8
0 0 = 1 = = 1 = = 1 = 1 1 1 0 0 = 0 0 1 = 1 0 1 = 0 0 = 1 0 = 0 1 = = 1 1 = 1 0 0 = 0 1 0 1 1 1 1 =
–   Cyclone 3.02914+21
−21		(−21)26 − 24
(+16−14=20)
52.0%
26.0 / 50
96.5%
−8
= = 0 1 = = = 1 1 = 0 1 0 1 1 = 0 = 0 0 0 = = 1 = 0 = 1 = = = 1 1 1 = 0 1 1 0 1 0 0 1 = 0 = 0 = = 1
–   Toga II 1.4.1SE82914+24
−24		(−21)29 − 21
(+21−13=16)
58.0%
29.0 / 50
95.6%
+31
= 0 = 1 = = = 0 1 1 1 0 0 1 0 = = 1 0 = = 1 0 = 1 = 1 1 1 1 1 0 1 = 1 0 = 1 1 0 1 0 = = 0 0 = 1 1 1
–   Toga II 1.4 beta72914+27
−27		(−21)21.5 − 28.5
(+13−20=17)
43.0%
21.5 / 50
93.3%
−66
0 0 0 = 1 1 1 1 0 0 0 = 1 1 = = 0 0 1 = = 0 = 0 = = = = = 0 0 0 1 0 = 0 1 = 0 = 1 0 = 0 1 = 0 0 1 1
–   Toga II 1.4 beta7 HT75 TEHPon2914+23
−23		(−21)25 − 25
(+16−16=18)
50.0%
25.0 / 50
95.4%
−19
0 = 1 = 0 0 0 = 1 0 = = = = = = = 0 0 = 1 1 1 = 1 0 = 1 1 1 1 1 0 0 0 0 = 1 1 = 1 = 0 0 0 = = 0 1 1
–   Learning TogaII14 12b (No EGBBs)2913+27
−27		(−22)26.5 − 23.5
(+17−14=19)
53.0%
26.5 / 50
93.8%
−3
0 = 0 = 0 0 1 0 = 1 = 1 = = 0 1 1 = 1 0 = 1 1 = = 0 = = 1 1 1 = = 1 = 0 = = 1 1 1 1 0 0 0 1 = = 0 0
–   Cyclone 3.42911+19
−19		(−24)28.5 − 21.5
(+21−14=15)
57.0%
28.5 / 50
99.2%
+24
0 1 0 1 0 1 0 = 0 1 = 1 = 1 1 1 1 1 1 1 1 1 = 0 = = 0 1 0 0 = 1 1 = 0 1 = 0 1 1 = 1 0 = 0 = = 0 = =
–   DeepLearninToga 1.1.54 NoLearn 1CPU2911+23
−23		(−24)25.5 − 24.5
(+16−15=19)
51.0%
25.5 / 50
97.8%
−16
0 1 = = = = = 1 0 0 = = = 0 0 0 1 1 0 = 1 = 1 1 = = 0 1 = 0 0 1 1 0 1 1 = = = = = 0 0 1 1 1 = 1 0 0
–   Grapefruit 1.0 a2b2909+22
−22		(−26)32.5 − 17.5
(+24−9=17)
65.0%
32.5 / 50
98.6%
+72
0 1 1 = = 1 1 1 1 1 = 0 = = 1 1 1 1 1 = 0 = 0 1 1 = 1 0 0 1 1 1 1 1 = 1 1 0 = 1 = = 1 = 0 = 0 = = =
–   Toga II 1.4.1SE52905+23
−23		(−30)29 − 21
(+21−13=16)
58.0%
29.0 / 50
99.3%
+25
1 = 0 = 1 = = 0 1 1 = = 0 0 1 1 1 1 1 = 0 1 = = 0 0 = = 1 0 = = = 0 1 1 1 1 0 1 1 0 1 = 1 = 1 1 0 0
–   Toga II 3.1.8SE2904+21
−21		(−31)30 − 20
(+19−9=22)
60.0%
30.0 / 50
99.7%
+31
0 0 = 0 = 1 1 1 = = 1 = = 1 1 = = = 0 0 1 1 0 = = 0 = 1 0 1 = = = 1 1 = 0 1 1 1 1 = = 1 = 1 1 = = =
–   Toga II 1.4.8SE2902+21
−21		(−33)33 − 17
(+23−7=20)
66.0%
33.0 / 50
99.9%
+69
0 1 = 1 1 0 0 = = 1 1 = 1 = 0 1 = 1 0 = 1 1 0 1 = = = = = = = 1 = 1 1 1 = 1 1 = 1 1 1 1 = 1 0 1 = =
–   TheMadPrune 1.1.252902+21
−21		(−33)29 − 21
(+18−10=22)
58.0%
29.0 / 50
99.8%
+16
= = = 0 0 = = = 1 0 = = = 1 0 1 0 = 0 1 0 0 = = 0 1 1 = = 1 = 1 1 = = 1 1 1 1 1 0 1 1 = = 1 = = = 1
–   Toga II 1.4.31SE2901+21
−21		(−34)29.5 − 20.5
(+20−11=19)
59.0%
29.5 / 50
99.9%
+23
= 0 = 1 = 1 0 1 1 0 0 = 0 0 1 1 = = 0 = = = = 1 1 = 1 1 1 = 0 1 = 1 0 = = 1 0 1 0 1 = = 1 1 = = 1 1
–   DeepLearninToga 1.5.21a NoLearn 1CPU2901+21
−21		(−34)29 − 21
(+20−12=18)
58.0%
29.0 / 50
99.9%
+18
= = 1 = 1 0 0 0 = 1 1 = = 0 1 1 = 1 1 0 = = 1 = 0 1 1 1 = 1 1 0 = = 1 0 1 = = 1 0 = 1 = = 1 0 1 0 0
–   Toga II 1.4.3JD beta192900+21
−21		(−35)25.5 − 23.5
(+15−13=21)
52.0%
25.5 / 49
99.9%
−19
1 0 1 = = 0 = 1 1 1 = 1 1 1 = 0 = = = 0 1 = = = 1 0 1 = = = 0 0 1 0 0 0 0 = 1 0 0 = = = = = 1 = 1
–   Cyclone 1.0 beta2895+22
−22		(−40)30.5 − 19.5
(+20−9=21)
61.0%
30.5 / 50
100.0%
+28
0 = 0 0 = 1 = = = = 0 = = 0 = = 0 1 = 1 0 1 1 1 = = 1 0 1 = = 1 1 = 0 1 = = 1 = 1 1 1 1 = 1 1 1 1 =
–   DeepLearninToga 1.5.37 NoLearn 1CPU2891+20
−20		(−44)27.5 − 22.5
(+17−12=21)
55.0%
27.5 / 50
100.0%
−13
= 1 0 = 1 1 = 1 1 1 = 1 0 1 = = 0 1 = 1 0 1 = = = = 0 0 0 = 1 = 0 = = 0 = 1 = 1 1 = 0 1 0 = 0 = 1 =
–   Thinker 5.4a Passive 64-bit2891+22
−22		(−44)28 − 22
(+21−15=14)
56.0%
28.0 / 50
100.0%
−3
0 1 0 1 1 0 = 1 0 = = 1 1 0 1 = 1 1 = 0 0 = 1 1 = 0 1 = 0 0 1 = 1 1 1 1 = 0 = 0 0 1 1 1 = = = 0 1 0
–   DeepLearninToga 1.6.18 NoLearn 1CPU2891+21
−21		(−44)31 − 18
(+23−10=16)
63.3%
31.0 / 49
100.0%
+45
= = 0 = 1 1 1 1 1 = = 1 = 1 1 1 = 1 1 = 0 0 1 = 1 1 1 = 1 0 0 1 1 1 = 0 1 = 0 0 = 0 1 = 0 = 1 1 =
–   Loop M1-T 64-bit2891+10
−10		(−44)30.5 − 19.5
(+20−9=21)
61.0%
30.5 / 50
100.0%
+25
= 1 = 1 = 1 = 1 = = = 0 0 = 1 1 = = = = 0 1 1 1 1 1 = 1 0 = 0 = 1 = = 1 = 1 1 1 0 1 0 = 0 1 1 0 = =
–   DeepLearninToga 1.4.73a NoLearn 1CPU2890+23
−24		(−45)27.5 − 22.5
(+16−11=23)
55.0%
27.5 / 50
100.0%
−15
0 = = = 0 = = = = = = 1 = 1 = = = = = 1 1 1 1 1 1 1 1 1 0 = = = 0 0 1 = 0 = 0 1 1 0 = 0 0 1 1 0 = =
–   DeepLearninToga 1.3.36 NoLearn 1CPU2887+21
−22		(−48)27 − 22
(+16−11=22)
55.1%
27.0 / 49
100.0%
−16
1 = = = 1 1 0 1 1 0 = = = = 0 = = 1 = 1 0 0 = 1 = = = 1 0 0 = 1 0 1 1 1 = = = 0 = = 1 1 = 0 0 = 1
–   Toga II 1.4 beta5ug (slow)2884+27
−27		(−51)30 − 20
(+20−10=20)
60.0%
30.0 / 50
100.0%
+11
= 0 1 1 = = 1 = = 0 1 0 = 0 1 = 0 0 1 = = 1 = = 1 1 1 = 1 0 = 1 1 = 1 1 = 1 = = 0 = = 1 1 0 1 = 1 0
–   DeepLearninToga 1.9.6 NoLearn 1CPU2882+21
−22		(−53)30 − 20
(+24−14=12)
60.0%
30.0 / 50
100.0%
+17
= = 1 = 0 1 1 1 1 1 1 = 0 1 = 1 0 1 1 1 0 1 0 0 = 1 0 1 = = = 1 0 = 0 1 0 1 1 0 1 = = 1 0 1 0 1 0 1
–   Glaurung 2.1 64-bit2881+9
−10		(−54)26 − 24
(+20−18=12)
52.0%
26.0 / 50
100.0%
−38
0 1 1 0 0 1 1 0 1 0 0 = = 0 0 0 = 1 1 0 1 = 0 = 1 1 = 1 0 = = 1 1 1 0 1 = 1 1 1 = 1 0 = 0 0 = 1 0 0
–   Bright 0.5c2880+13
−13		(−55)22.5 − 9.5
(+15−2=15)
70.3%
22.5 / 32
100.0%
+69
= = 1 = 1 = = 1 = 1 = 1 1 1 1 = = 1 1 = 1 0 1 = = = 1 1 1 = = 0
–   Glaurung 080420 64-bit2877+26
−26		(−58)27.5 − 22.5
(+22−17=11)
55.0%
27.5 / 50
100.0%
−21
= 0 0 = 0 1 1 0 1 1 1 = 1 1 1 1 0 = = 1 = 1 1 0 = = 1 0 1 0 = 0 0 1 1 1 1 = 0 0 0 0 1 0 1 1 1 0 0 =
–   Bright 0.4a2877+9
−9		(−58)30.5 − 19.5
(+22−11=17)
61.0%
30.5 / 50
100.0%
+15
1 1 0 0 1 0 1 1 0 = 1 = 1 = = = = 1 = 1 = = 0 1 1 0 1 0 1 0 = 1 1 = = = 1 1 = = 0 = 1 0 = 0 1 1 1 1
–   Ktulu 9.02875+10
−10		(−60)35.5 − 14.5
(+28−7=15)
71.0%
35.5 / 50
100.0%
+85
1 0 = 1 1 = 1 1 1 = = 0 0 1 1 1 = 1 1 1 = 1 = = 1 = = = 1 1 1 1 = = 0 = 1 1 1 1 0 1 = 0 1 1 1 1 0 1
–   DeepLearninToga 1.8.09 NoLearn 1CPU2862+21
−22		(−73)30 − 20
(+23−13=14)
60.0%
30.0 / 50
100.0%
−5
1 1 1 1 1 = = 0 0 = 1 = 0 0 1 = 0 0 = = = 1 1 1 1 0 0 1 1 = 1 1 = 1 1 1 0 = = 0 0 = 0 1 1 = 1 0 1 1
–   Twisted Logic 20100131x 64-bit2862+11
−11		(−73)35.5 − 21.5
(+24−10=23)
62.3%
35.5 / 57
100.0%
+3
1 1 1 = = 0 0 = 1 1 = = = 0 1 0 = = = 0 1 1 = 0 1 = 1 1 1 1 1 = 1 = 1 = = 1 1 = = 0 1 0 = = 1 0 = 0 = = 1 1 1 1 =
–   DeepLearninToga 1.6.50 NoLearn 1CPU2859+22
−22		(−76)28.5 − 21.5
(+21−14=15)
57.0%
28.5 / 50
100.0%
−27
0 1 1 1 = 1 1 = = 0 0 1 1 1 = 1 0 = = = = = 1 1 0 0 = 1 0 1 1 0 0 0 1 1 0 1 0 = = 1 = = = 0 1 1 0 1
–   TheMadPrune 1.1.212856+21
−22		(−79)28.5 − 21.5
(+18−11=21)
57.0%
28.5 / 50
100.0%
−38
= 1 0 = 0 = 0 1 1 1 1 = = 1 = 0 0 = 0 = 0 = = 1 = = 1 = = = = 0 1 = 1 = 0 1 1 1 0 = 1 = 1 0 1 = 1 1
–   Bright 0.3d2853+10
−10		(−82)29.5 − 19.5
(+20−10=19)
60.2%
29.5 / 49
100.0%
−17
= = = = = 0 = = = = 0 1 1 1 1 1 1 = 1 = = = 1 0 1 1 0 1 1 1 = 0 0 0 1 0 1 0 = 1 = = = 1 1 1 = 0 1
–   Toga II 1.4.1SE42852+24
−24		(−83)32 − 18
(+24−10=16)
64.0%
32.0 / 50
100.0%
+13
1 = 1 1 0 0 1 0 0 = = 0 1 = 1 = 0 = 1 0 1 1 1 1 = 1 0 = 1 1 = 1 = 1 = 1 = = 1 = 1 = 1 = 1 1 0 1 1 0
–   Thinker 5.1c Passive 32-bit2849+33
−32		(−86)20 − 12
(+16−8=8)
62.5%
20.0 / 32
100.0%
+5
1 1 0 1 = 0 1 = 0 0 = = 1 0 1 0 = 1 = 1 1 0 1 1 1 1 1 1 1 = = 0
–   SmarThink 1.20 64-bit2846+13
−13		(−89)29 − 21
(+17−9=24)
58.0%
29.0 / 50
100.0%
−38
1 1 = = = 1 = 1 = 1 1 = = 1 0 0 0 0 1 = 0 = = 0 = 0 1 1 = 1 = = 1 = = 1 = = = = 0 1 = = = 0 1 1 = 1
–   Bright 0.3b2840+14
−14		(−95)33 − 17
(+26−10=14)
66.0%
33.0 / 50
100.0%
+17
= 1 = 0 1 = = 1 0 = = 0 0 1 = 1 1 = 1 0 1 = 1 = 1 = 1 0 = 1 1 0 1 = 1 0 0 0 1 1 1 1 1 1 1 1 1 = 1 1
–   Glaurung 2.0.1 64-bit2839+9
−9		(−96)34.5 − 14.5
(+27−7=15)
70.4%
34.5 / 49
100.0%
+45
1 1 = = 1 0 1 1 1 1 1 = 1 1 1 0 = 1 0 = 1 0 = 1 = 1 1 = 1 1 1 = = 1 = 0 = = 0 1 = = 1 1 1 1 1 1 0
–   Spike 1.2 Turin2827+5
−5		(−108)36 − 14
(+24−2=24)
72.0%
36.0 / 50
100.0%
+26
= 1 1 1 = = 1 = 1 = 1 1 1 1 1 0 1 1 1 = = 1 = = = 1 1 1 1 0 1 = = = 1 1 1 = = = = = = = 1 = = 1 = =
–   SmarThink 1.102826+13
−14		(−109)33.5 − 16.5
(+27−10=13)
67.0%
33.5 / 50
100.0%
+10
1 1 0 0 1 1 = 0 1 = = 0 1 1 1 0 = 0 = 0 = 1 1 1 = 1 1 1 1 = 1 1 1 = 1 0 1 0 0 1 1 = 1 1 1 = 1 1 = =
–   TheMadPrune 1.7.042823+22
−22		(−112)34.5 − 15.5
(+26−7=17)
69.0%
34.5 / 50
100.0%
+13
1 1 1 = 0 = = 1 = = 1 1 1 1 = 1 0 = 1 = 0 1 1 1 1 1 = 1 1 1 = 1 1 = 1 1 0 = 1 0 1 = = 0 0 = = 1 1 =
–   Toga II 1.4.2SE2814+24
−25		(−121)32.5 − 17.5
(+24−9=17)
65.0%
32.5 / 50
100.0%
−23
0 = 0 = 0 = 1 = 0 = = 1 = = 1 0 0 = 0 1 = 0 = 1 1 1 1 = 0 1 = 1 1 = 1 1 = 1 1 1 1 1 1 1 1 1 1 = 1 =
–   Alaric 706172762+25
−25		(−173)24 − 8
(+20−4=8)
75.0%
24.0 / 32
100.0%
+10
= 1 0 1 = 1 1 1 0 = 1 1 = 1 1 1 = 1 0 1 1 = 1 1 = 0 1 1 1 1 = 1
–   Scorpio 2.05beta 32-bit2719+25
−26		(−216)39 − 11
(+34−6=10)
78.0%
39.0 / 50
100.0%
0
1 1 1 1 1 1 1 1 1 0 1 = 1 1 1 1 1 = = 1 0 1 0 = 1 1 1 = 1 0 0 1 1 1 0 1 1 = = = 1 1 1 1 1 1 1 1 = =
–   Delfi 5.32698+32
−32		(−237)25.5 − 6.5
(+24−5=3)
79.7%
25.5 / 32
100.0%
+16
1 1 1 1 1 0 0 1 0 0 = 1 1 1 = 1 1 1 1 1 1 1 1 = 1 1 0 1 1 1 1 1
–   Scorpio 2.02 32-bit2681+31
−32		(−254)42.5 − 7.5
(+38−3=9)
85.0%
42.5 / 50
100.0%
+26
= 1 1 1 1 = 1 1 1 1 1 1 = 1 0 = 1 1 1 = 1 1 1 = 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 = 1 = 1 1 1 1 1 1 = 1
–   Scorpio 2.1 64-bit2579+31
−33		(−356)46 − 4
(+43−1=6)
92.0%
46.0 / 50
100.0%
+32
= = = 1 = 1 1 1 1 1 1 1 1 1 1 = 1 1 1 1 1 1 1 1 = 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1
6862 games: 2175 wins, 2309 losses, 2378 draws (34.7%), score: 49.0%

Rating changes by day

Rating changes with played games

Participation in the pure lists

Pure listRankRatingNumber of games
Hiarcs 12
played with current
participants of this list		Represented by
1-2-CPU    208Hiarcs 12.1 2CPU
32-bit    308Hiarcs 12.1 2CPU
32-bit 1-2-CPU    308Hiarcs 12.1 2CPU
32-bit single-CPU#32985365itself
All    150Hiarcs 13.1 4CPU
Single-CPU    768Hiarcs 13.1
Created in 2005-2008 by CCRL team
Last games added on August 28, 2010