KCEC
(Kirr's Chess Engine Comparison)
A tournament of original free chess engines
June 16, 2013
Testing summary:
Total: 135,679 games
played by 202 programs
1398 CPU days (X2 4600+)

White wins: 55,227 (40.7%)
Black wins: 47,434 (35.0%)
Draws: 33,018 (24.3%)
White score: 52.9%

Engine Details

Options
Show each game results
E.T. Chess 13.01.08 WB#10  (2733+21
−21		)Quote
Author: Eric Triki (France) Released: 2008-01-13Link: Homepage
This engine is stable and runs without issues.
This is one of the 2 E.T. Chess versions we tested: Compare them!
OpponentEloDiffResultsScoreLOSPerfPond
hit		Eval
diff
–   Fruit 2.3 32-bit2888+23
−23		(+155)3.5 − 19.5
(+1−17=5)
15.2%
3.5 / 23
0.0%
−112
59.8%
1564
0.50
936
= 0 0 0 0 0 0 0 = 0 0 0 0 0 0 0 0 = 0 = 1 0 =
–   Spike 1.2 Turin2842+23
−23		(+109)8.5 − 18.5
(+3−13=11)
31.5%
8.5 / 27
0.0%
−9
58.8%
1578
0.76
928
0 = 0 0 0 0 = 0 = = 0 0 = 0 0 = = 0 1 = 0 = = 0 = 1 1
–   Glaurung 2.0.1 64-bit2838+23
−23		(+105)7.5 − 21.5
(+4−18=7)
25.9%
7.5 / 29
0.0%
−69
56.0%
1934
0.76
1084
= 0 0 = 0 0 0 1 0 0 0 0 = 0 = 0 = = = 0 0 1 0 1 0 0 0 1 0
–   Frenzee Feb08 64-bit2810+24
−24		(+77)15.5 − 16.5
(+10−11=11)
48.4%
15.5 / 32
0.0%
+67
57.9%
2495
0.99
1444
1 1 0 0 0 1 1 0 = = 0 = 1 1 0 0 = = 1 = = 0 = = = 0 1 0 = 1 0 1
–   Delfi 5.42801+24
−24		(+68)12.5 − 19.5
(+8−15=9)
39.1%
12.5 / 32
0.0%
−10
56.9%
2465
0.62
1402
0 0 0 0 0 0 = 1 1 0 = 0 = 0 = 0 = 1 1 = = 1 0 1 1 0 1 0 = 0 = 0
–   Naum 2.0 64-bit2793+21
−21		(+60)14 − 16
(+7−9=14)
46.7%
14.0 / 30
0.0%
+41
55.8%
1560
0.64
870
= = 1 0 = = 1 = = 0 0 0 1 = 1 1 = = = = 1 0 0 1 = 0 = 0 0 =
–   Bright 0.2c2786+23
−23		(+53)8 − 16
(+4−12=8)
33.3%
8.0 / 24
0.0%
−55
55.9%
1607
0.66
899
0 0 0 1 = = 0 1 0 0 = = 0 = 0 0 0 1 = = = 0 1 0
–   Naum 2.0 32-bit2777+26
−26		(+44)11.5 − 13.5
(+7−9=9)
46.0%
11.5 / 25
0.2%
+18
57.5%
1554
0.68
893
= 1 1 = 1 1 = 1 0 0 0 = = = 0 0 1 0 1 = = = 0 0 0
–   Alaric 7072768+22
−22		(+35)14 − 11
(+10−7=8)
56.0%
14.0 / 25
0.5%
+76
57.0%
1857
0.60
1058
0 = 1 = 0 0 1 = 0 1 1 = 0 = 0 1 = 1 1 = 1 1 = 1 0
–   Scorpio 2.0 32-bit2754+23
−23		(+21)12.5 − 12.5
(+7−7=11)
50.0%
12.5 / 25
6.2%
+18
59.4%
1149
0.60
682
= 1 1 = = 0 1 = = = 0 1 1 1 = = 0 = 0 = 0 0 0 = 1
–   WildCat 82730+22
−22		(−3)15 − 17
(+9−11=12)
46.9%
15.0 / 32
58.1%
−22
56.4%
2065
0.77
1164
= 0 = = 0 1 0 0 0 0 1 = = 0 0 0 1 = 0 0 = 1 = 1 = = = = 1 1 1 1
–   Alfil 8.1.1 Optimized2723+21
−21		(−10)11 − 16
(+5−10=12)
40.7%
11.0 / 27
76.1%
−66
55.8%
1525
0.66
851
= 0 1 0 1 0 0 0 = 0 = 1 0 1 0 = = = 1 = = = 0 = 0 = =
–   Movei 00.8.438 (10-10-10)2722+21
−21		(−11)13 − 15
(+11−13=4)
46.4%
13.0 / 28
79.3%
−36
54.3%
2570
0.55
1396
1 1 1 0 0 = 0 1 1 0 = 0 = 1 0 1 0 1 0 1 0 1 = 0 0 0 0 1
–   Pro Deo 1.62719+22
−22		(−14)14 − 10
(+11−7=6)
58.3%
14.0 / 24
84.8%
+50
57.3%
1960
0.62
1123
1 0 0 1 1 1 = = = 1 1 0 = 0 0 1 1 = 0 1 = 0 1 1
–   Delfi 5.22718+21
−21		(−15)14 − 13
(+11−10=6)
51.9%
14.0 / 27
85.4%
−2
60.4%
1799
0.66
1086
= 1 0 1 0 0 1 0 1 0 = = 0 1 = 1 1 1 0 = 1 0 0 = 1 1 0
–   WildCat 72718+19
−19		(−15)14.5 − 11.5
(+12−9=5)
55.8%
14.5 / 26
87.1%
+27
59.8%
2104
0.57
1258
1 = = 1 0 1 0 1 1 1 1 1 = 1 0 = 0 0 1 1 0 1 = 0 0 0
–   Zappa 1.1 64-bit2717+19
−19		(−16)15 − 11
(+11−7=8)
57.7%
15.0 / 26
88.2%
+36
56.8%
2037
0.69
1157
= = 1 0 1 = 1 = 1 = 1 1 0 0 0 0 1 1 0 = 0 1 = = 1 1
–   Slow Chess Blitz WV2.12716+19
−19		(−17)14.5 − 13.5
(+8−7=13)
51.8%
14.5 / 28
90.6%
−6
57.8%
1503
0.56
869
= = 1 1 0 1 = 1 = 0 0 1 0 = 0 = 0 1 1 1 = 0 = = = = = =
–   Frenzee 3.0 64-bit2711+19
−19		(−22)15.5 − 9.5
(+12−6=7)
62.0%
15.5 / 25
95.3%
+59
54.7%
1951
0.78
1067
= 0 1 = 0 1 = 1 0 1 = 1 1 1 1 = 0 = 1 0 0 1 = 1 1
–   Colossus 2007d2707+20
−20		(−26)11 − 15
(+8−12=6)
42.3%
11.0 / 26
97.3%
−83
59.7%
1903
0.51
1137
0 0 0 = 1 1 1 0 1 0 = = 1 0 1 0 0 = 1 1 0 = 0 = 0 0
–   Pharaon 3.5.12704+19
−19		(−29)13 − 10
(+11−8=4)
56.5%
13.0 / 23
98.8%
+18
57.8%
1944
0.53
1124
1 = 0 1 1 0 = 0 1 = 0 1 0 1 1 0 1 1 = 0 0 1 1
–   List 5.122699+18
−18		(−34)16 − 10
(+9−3=14)
61.5%
16.0 / 26
99.7%
+30
57.9%
1151
0.78
666
1 1 = = 0 = 1 1 1 0 0 1 = = 1 1 = = = = = = = = 1 =
–   SOS 5.12697+18
−18		(−36)16 − 12
(+12−8=8)
57.1%
16.0 / 28
99.8%
+12
57.9%
1832
0.62
1061
1 1 0 1 0 1 = 0 = 1 1 = = 1 0 1 1 1 = 0 = 0 0 1 = = 0 1
–   Colossus 2007c2694+19
−19		(−39)12.5 − 14.5
(+10−12=5)
46.3%
12.5 / 27
99.9%
−66
58.9%
2200
0.62
1296
0 0 = 0 1 1 0 0 0 1 1 = 1 1 0 1 0 0 1 0 0 = = 0 1 = 1
–   Ruffian 1.0.52687+17
−17		(−46)15.5 − 10.5
(+10−5=11)
59.6%
15.5 / 26
100.0%
+10
57.6%
1645
0.48
948
= 1 1 = 0 = 1 = 1 0 = 1 = 1 = 1 1 0 = 1 = = 1 = 0 0
–   Pseudo 0.7c2680+18
−18		(−53)14 − 14
(+10−10=8)
50.0%
14.0 / 28
100.0%
−52
59.9%
2017
0.57
1209
1 0 1 1 0 0 = 0 1 0 0 1 = 1 = 0 1 = 1 1 0 = = 0 1 0 = =
–   Aristarch 4.502671+18
−18		(−62)14 − 12
(+10−8=8)
53.8%
14.0 / 26
100.0%
−37
56.2%
1624
0.70
913
0 0 0 0 1 = = 0 1 1 0 = 1 = = 1 0 0 = = 1 1 1 = 1 1
–   Petir 4.9999992670+19
−19		(−63)17 − 10
(+12−5=10)
63.0%
17.0 / 27
100.0%
+18
59.7%
1677
0.79
1002
1 = = 1 = = 1 0 1 = = 1 1 = 1 = 1 0 0 0 = 1 1 1 1 0 =
–   Hamsters 0.62669+18
−18		(−64)20.5 − 7.5
(+17−4=7)
73.2%
20.5 / 28
100.0%
+106
59.6%
2041
0.66
1216
= = = 0 1 1 1 0 1 1 = 1 1 = 1 1 1 1 1 1 = 1 0 0 1 1 = 1
–   The Baron 2.23 64-bit2669+19
−19		(−64)20.5 − 11.5
(+15−6=11)
64.1%
20.5 / 32
100.0%
+29
54.7%
1956
0.76
1070
= = 1 = 1 1 = = 1 0 0 0 = 1 0 = 0 1 1 0 = 1 1 1 1 1 1 1 1 = = =
–   Booot 4.13.12668+18
−18		(−65)16.5 − 11.5
(+13−8=7)
58.9%
16.5 / 28
100.0%
0
59.0%
1945
0.54
1147
1 0 0 0 = 1 = = 1 = 1 1 1 1 0 1 1 0 0 1 1 = 0 = 1 = 1 0
–   BugChess2 1.5.22661+18
−18		(−72)12.5 − 10.5
(+8−6=9)
54.3%
12.5 / 23
100.0%
−46
60.0%
1536
0.66
922
= 0 = = 1 1 = 0 = 1 0 = 1 1 0 1 1 = 0 0 = = 1
–   The Baron 1.8.12651+18
−18		(−82)15.5 − 8.5
(+13−6=5)
64.6%
15.5 / 24
100.0%
+23
53.8%
2078
0.89
1119
1 = 1 0 0 1 = 1 0 = 1 1 = 0 1 0 1 1 1 1 0 = 1 1
–   E.T. Chess 18.11.052620+21
−21		(−113)20 − 12
(+15−7=10)
62.5%
20.0 / 32
100.0%
−26
71.7%
1900
0.22
1362
1 1 1 = 0 0 1 1 = 1 1 1 = = 0 1 = 1 0 = 1 1 = 0 = 1 0 = 1 1 0 =
919 games in total: 324 wins, 306 losses, 289 draws (31.4%), score: 51.0%
Average opponent: −7.3 (2725.7), average distance to opponent: 50.3

Performance

This figure shows how this engine performs depending on how strong is the opponent. Regression:

Perf = C − 0.146 [±0.274] * Opp

Where 'Opp' is the opponent's rating. 95% confidence intervals are in the brackets.

Rating changes by day

Rating changes with played games

Created in 2005-2012 by Kirill Kryukov
Updated on June 16, 2013