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

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Show each game results
Pepito 1.59 32-bit UCI#41  (2595+19
−19
)Quote
Author: Carlos del Cacho (Spain) Released: 2003-02-09Link: Homepage
This is the original compile from the homepage: "Built with Intel C++ 7. There are two executables packed in the zip file (with and without profile guided optimization). Thanks to Juan Ignacio Barbosa for providing them." The one tested is with profile guided optimization. Jim Ablett's 64-bit compile is faster, but has broken EGTB support (it basically loses every EGTB position), which is why it is not particupating in this tournament.
This engine is stable and runs without issues.
This is the only Pepito version we tested.
OpponentEloDiffResultsScoreLOSPerfPond
hit
Eval
diff
–   Aristarch 4.502671+18
−18
(+76)10 − 15
(+8−13=4)
40.0%
10.0 / 25
0.0%
−2
52.1%
1472
0.77
767
1 0 1 1 1 1 0 1 = 0 0 = 1 0 0 0 1 0 = 0 0 0 0 = 0
–   Petir 4.9999992670+19
−19
(+75)9.5 − 16.5
(+6−13=7)
36.5%
9.5 / 26
0.0%
−19
61.9%
1726
0.48
1068
0 = 0 0 0 0 0 1 0 0 = 1 0 = 1 = 0 = = 1 0 1 = 0 1 0
–   Hamsters 0.62669+18
−18
(+74)5.5 − 18.5
(+1−14=9)
22.9%
5.5 / 24
0.0%
−105
57.0%
1489
0.58
849
0 1 0 = 0 0 = = 0 0 0 0 = = 0 = = 0 0 = 0 0 = 0
–   The Baron 2.23 64-bit2669+19
−19
(+74)13 − 19
(+9−15=8)
40.6%
13.0 / 32
0.0%
+5
54.8%
2217
0.90
1216
1 = = = = 1 0 0 0 = 0 1 0 0 0 0 0 0 1 = 1 = 1 1 0 0 0 0 1 0 1 =
–   Booot 4.13.12668+18
−18
(+73)12.5 − 12.5
(+8−8=9)
50.0%
12.5 / 25
0.0%
+75
58.5%
1483
0.56
867
0 1 = = = = 0 0 = 1 1 1 = 1 0 = 1 0 = 0 0 = 0 1 1
–   BugChess2 1.5.22661+18
−18
(+66)9 − 17
(+5−13=8)
34.6%
9.0 / 26
0.0%
−41
56.3%
2155
0.61
1213
1 0 = 0 0 = 1 = = = 0 0 1 0 0 = 1 0 0 = = 0 1 0 0 0
–   Jonny 2.832652+17
−17
(+57)5 − 21
(+2−18=6)
19.2%
5.0 / 26
0.0%
−175
53.2%
2131
0.58
1134
0 0 0 0 0 0 0 = 0 0 = 0 0 0 0 0 1 = = 0 = 0 = 0 1 0
–   Crafty 21.5 64-bit PS2652+17
−17
(+57)14.5 − 12.5
(+8−6=13)
53.7%
14.5 / 27
0.0%
+77
58.9%
1463
0.60
861
1 = = 1 = 1 = = 1 = = = = = 1 = 1 = 0 1 0 0 0 1 0 = 0
–   The Baron 1.8.12651+18
−18
(+56)10.5 − 14.5
(+8−12=5)
42.0%
10.5 / 25
0.0%
+1
52.9%
1914
0.97
1012
0 0 = 0 0 1 0 = 0 = = 0 0 1 = 0 1 1 0 1 1 1 0 0 1
–   Anaconda 2.0.12644+17
−17
(+49)12.5 − 13.5
(+11−12=3)
48.1%
12.5 / 26
0.0%
+30
53.5%
2468
0.53
1321
1 1 0 1 1 1 0 1 0 0 1 0 1 0 1 0 1 0 0 1 0 0 = = = 0
–   Fritz 5.322643+17
−17
(+48)10 − 18
(+5−13=10)
35.7%
10.0 / 28
0.0%
−48
60.8%
1673
0.61
1018
0 0 0 1 0 = = 1 = 1 = 0 0 0 = 1 = 0 = 1 = 0 = 0 = 0 0 0
–   Ktulu 4.22634+17
−17
(+39)11.5 − 11.5
(+7−7=9)
50.0%
11.5 / 23
0.1%
+37
62.9%
1292
0.55
813
1 = = 1 0 0 0 = = 1 = 0 0 = = 1 1 = 0 0 1 = 1
–   Thinker 4.7a2634+17
−17
(+39)13.5 − 15.5
(+9−11=9)
46.6%
13.5 / 29
0.1%
+16
57.4%
2016
0.60
1157
1 1 0 0 = 0 1 1 = = 0 0 0 1 1 = 1 1 = = = 0 1 = = 0 0 0 0
–   SmarThink 0.17a2633+16
−16
(+38)15.5 − 10.5
(+11−6=9)
59.6%
15.5 / 26
0.1%
+99
55.7%
1505
0.44
839
0 1 0 1 = 1 = 0 = = 1 = 0 = 1 1 = 1 1 1 0 = 1 = 0 1
–   Ufim 8.022628+18
−18
(+33)14 − 12
(+11−9=6)
53.8%
14.0 / 26
0.4%
+60
54.1%
1795
0.63
971
= 1 1 = 0 0 0 0 = 0 1 1 0 1 0 1 = 1 0 0 1 1 1 1 = =
–   Trace 1.37a2622+17
−17
(+27)14 − 15
(+9−10=10)
48.3%
14.0 / 29
1.3%
+15
54.1%
2135
0.64
1155
= = = 1 1 = 1 0 0 0 1 0 1 1 = 1 1 0 = = 0 0 0 = 0 0 = = 1
–   AnMon 5.602621+18
−18
(+26)13.5 − 11.5
(+10−8=7)
54.0%
13.5 / 25
1.9%
+51
60.5%
1542
0.55
933
= 1 1 = = = 1 1 0 0 0 1 0 1 1 = 0 1 1 = 1 0 0 = 0
–   Little Goliath 3.12 Evolution (TB Off)2614+17
−17
(+19)11.5 − 13.5
(+5−7=13)
46.0%
11.5 / 25
6.3%
−6
54.0%
1259
1.02
680
0 0 = 0 1 0 = = = = = 1 1 = 0 = = 0 = 1 = 0 1 = =
–   Yace 0.99.872609+17
−17
(+14)15 − 11
(+13−9=4)
57.7%
15.0 / 26
12.9%
+70
60.7%
2428
0.49
1475
0 1 0 = 1 0 1 = 1 1 1 0 1 1 1 0 1 0 = 0 = 0 0 1 1 1
–   Bruja 1.9 64-bit JA No-int-book2584+18
−18
(−11)11 − 14
(+7−10=8)
44.0%
11.0 / 25
82.1%
−49
54.6%
1883
0.57
1028
0 = 1 0 0 1 0 = = = = 0 1 1 = 1 = 0 0 0 0 1 0 1 =
–   Green Light Chess 3.002582+17
−17
(−13)13.5 − 12.5
(+8−7=11)
51.9%
13.5 / 26
85.4%
0
59.2%
1734
0.52
1027
0 = 1 1 = = = = 0 0 = 1 0 = 1 = 1 0 = 1 1 1 = = 0 0
–   Tao 5.62574+17
−17
(−21)11.5 − 11.5
(+7−7=9)
50.0%
11.5 / 23
95.8%
−23
57.1%
1628
0.63
929
0 1 = 0 = 1 0 1 1 = = 1 0 = = 0 = 1 0 0 = = 1
–   Cerebro 3.03d2572+19
−19
(−23)16.5 − 15.5
(+13−12=7)
51.6%
16.5 / 32
96.4%
−11
51.0%
2476
0.76
1262
0 1 1 0 = 0 1 = 0 0 = 1 1 = 1 = 1 1 0 = 1 1 0 0 1 0 = 0 1 0 1 0
–   Twisted Logic 20080404x2568+18
−18
(−27)10.5 − 13.5
(+9−12=3)
43.8%
10.5 / 24
98.3%
−75
51.9%
1904
0.72
988
0 = = 0 0 1 1 0 0 0 0 1 1 = 0 1 0 1 1 0 0 1 0 1
–   Arasan 10.0 64-bit2564+17
−17
(−31)15.5 − 15.5
(+11−11=9)
50.0%
15.5 / 31
99.4%
−29
57.7%
2222
0.59
1283
1 = 0 1 1 = = 0 1 1 1 = 0 1 1 0 0 = 0 1 0 0 = = = 0 0 0 = 1 1
–   Abrok 5.02561+17
−17
(−34)12 − 12
(+9−9=6)
50.0%
12.0 / 24
99.7%
−35
57.1%
1801
0.70
1029
0 = 0 0 = 1 1 1 = 0 1 0 1 = 0 0 1 0 1 0 = 1 1 =
–   Amyan 1.5972552+17
−17
(−43)14 − 10
(+10−6=8)
58.3%
14.0 / 24
100.0%
+10
60.1%
1580
0.64
949
= = 1 = 0 1 0 1 = 1 1 0 1 0 = = = 1 1 1 1 0 0 =
–   Matacz 1.3 HT74 5-men-egbb2551+18
−18
(−44)15 − 13
(+11−9=8)
53.6%
15.0 / 28
100.0%
−19
55.1%
2012
0.65
1108
= 1 0 = = 0 0 1 0 1 1 1 1 1 1 = = 0 = 1 = 0 1 1 0 = 0 0
–   SpiderChess 0706032546+17
−17
(−49)13.5 − 11.5
(+10−8=7)
54.0%
13.5 / 25
100.0%
−16
55.9%
1690
0.51
945
1 1 0 0 0 1 = 0 0 1 0 1 1 = 0 0 = 1 = = 1 1 = 1 =
–   Quark 2.352536+16
−16
(−59)18 − 8
(+14−4=8)
69.2%
18.0 / 26
100.0%
+72
58.8%
1588
0.59
933
1 1 = 0 1 = 0 1 = 1 = 1 1 1 1 1 1 0 = = 1 1 = 0 1 =
–   Gaia 3.5 64-bit2536+17
−17
(−59)17.5 − 14.5
(+12−9=11)
54.7%
17.5 / 32
100.0%
−28
56.6%
2282
0.69
1292
= = = 1 0 1 1 1 = = = 0 0 = 1 1 0 = 0 1 0 1 0 1 0 = = = 1 1 1 0
–   King of Kings 2.562536+18
−18
(−59)19 − 12
(+15−8=8)
61.3%
19.0 / 31
100.0%
+19
56.4%
2178
0.61
1228
= = 0 1 1 0 = 1 = = 1 = 1 1 0 1 1 1 1 1 1 1 0 0 = 1 0 1 0 = 0
–   LambChop 10.992531+17
−17
(−64)14 − 10
(+8−4=12)
58.3%
14.0 / 24
100.0%
−11
55.9%
1144
0.50
640
= 1 = = = 0 1 1 0 1 0 = = = 1 = = 0 1 = = 1 1 =
–   Dragon 4.62524+16
−16
(−71)17.5 − 10.5
(+14−7=7)
62.5%
17.5 / 28
100.0%
+22
61.0%
2327
0.46
1419
1 1 1 1 1 0 1 1 0 0 1 = 1 0 = = 0 1 0 = 1 1 = = 1 0 = 1
–   Nejmet 3.072521+16
−16
(−74)18.5 − 8.5
(+13−3=11)
68.5%
18.5 / 27
100.0%
+45
54.8%
1838
0.63
1008
1 = 1 = 1 1 0 1 = = 1 = 1 1 1 1 = 1 = 1 = = 1 0 = = 0
–   Snitch 1.6.2 32-bit2521+15
−15
(−74)13 − 10
(+10−7=6)
56.5%
13.0 / 23
100.0%
−27
54.0%
1953
0.79
1054
1 1 1 = 1 1 0 = 1 0 1 = 1 0 = 1 0 = 1 = 0 0 0
–   KnightDreamer 3.32499+16
−16
(−96)15.5 − 10.5
(+11−6=9)
59.6%
15.5 / 26
100.0%
−34
57.0%
1484
0.62
846
1 = 0 = = 1 = 1 0 1 1 0 = 0 1 1 1 0 1 = 1 1 0 = = =
–   Francesca MAD 0.13 Nobook2493+19
−19
(−102)13.5 − 6.5
(+11−4=5)
67.5%
13.5 / 20
100.0%
+16
62.1%
1327
0.69
824
1 = = 1 0 1 0 0 1 1 1 1 = 0 1 1 = 1 = 1

Performance

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

Perf = C + 0.001 [±0.311] * 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