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
Delfi 5.2 UCI (2718+21
−21
)Quote
Author: Fabio Cavicchio (Italy) Released: 2007-09-28Link: Delfi
This engine is stable and runs without issues.
This is one of the 2 Delfi versions we tested: Compare them!
OpponentEloDiffResultsScoreLOSPerfPond
hit
Eval
diff
–   Fruit 2.3 32-bit2888+23
−23
(+170)6.5 − 16.5
(+3−13=7)
28.3%
6.5 / 23
0.0%
+16
59.8%
1622
0.43
970
0 = 0 = 0 = 1 0 1 0 = 0 0 = 0 0 0 1 0 = = 0 0
–   Spike 1.2 Turin2842+23
−23
(+124)5.5 − 19.5
(+3−17=5)
22.0%
5.5 / 25
0.0%
−91
63.8%
1891
0.81
1206
0 0 = 1 0 = 0 0 0 0 = 0 0 1 0 0 0 0 0 = 0 = 0 0 1
–   Glaurung 2.0.1 64-bit2838+23
−23
(+120)11.5 − 12.5
(+6−7=11)
47.9%
11.5 / 24
0.0%
+110
61.6%
1326
0.85
817
0 1 0 0 = 0 = = 1 0 = 1 = = = 1 0 0 1 = = = 1 =
–   Frenzee Feb08 64-bit2810+24
−24
(+92)8 − 24
(+3−19=10)
25.0%
8.0 / 32
0.0%
−78
60.4%
1807
1.35
1091
1 0 1 0 = 0 0 0 0 = 0 0 0 = 0 = 0 0 = = = = 0 0 0 = = 1 0 0 0 0
–   Naum 2.0 64-bit2793+21
−21
(+75)9 − 17
(+3−11=12)
34.6%
9.0 / 26
0.0%
−16
59.1%
1161
0.72
686
= = = 0 = = 0 = 0 0 = = 1 1 = 0 1 0 = = 0 0 0 0 = 0
–   Bright 0.2c2786+23
−23
(+68)7.5 − 20.5
(+2−15=11)
26.8%
7.5 / 28
0.0%
−80
57.2%
1912
0.80
1094
0 0 0 = = 0 = 0 0 0 0 0 0 0 = = = = 0 0 = 1 = = 1 = 0 0
–   Alaric 7072768+22
−22
(+50)7.5 − 16.5
(+6−15=3)
31.3%
7.5 / 24
0.0%
−99
60.0%
2698
0.55
1620
1 = 0 0 0 1 0 0 0 = 1 0 1 0 0 0 0 0 1 0 0 1 = 0
–   Scorpio 2.0 32-bit2754+23
−23
(+36)15 − 11
(+11−7=8)
57.7%
15.0 / 26
0.5%
+85
59.6%
1767
0.73
1054
0 1 = 1 1 0 1 0 = 1 = 0 1 = 0 = 1 1 0 0 1 = = 1 1 =
–   E.T. Chess 13.01.082733+21
−21
(+15)13 − 14
(+10−11=6)
48.1%
13.0 / 27
14.6%
+2
60.4%
1799
0.66
1086
= 0 1 0 1 1 0 1 0 1 = = 1 0 = 0 0 0 1 = 0 1 1 = 0 0 1
–   WildCat 82730+22
−22
(+12)14 − 18
(+8−12=12)
43.8%
14.0 / 32
20.0%
−30
59.1%
1929
0.70
1140
= 0 1 1 = 1 1 1 0 = 0 0 0 0 0 0 = 1 1 0 = 0 0 0 = = = = = = = 1
–   Alfil 8.1.1 Optimized2723+21
−21
(+5)14.5 − 11.5
(+12−9=5)
55.8%
14.5 / 26
36.3%
+48
59.1%
2100
0.64
1241
1 0 1 0 1 1 0 1 0 = 0 1 = 1 1 0 = 0 = 1 0 = 1 1 0 1
–   Movei 00.8.438 (10-10-10)2722+21
−21
(+4)14 − 11
(+10−7=8)
56.0%
14.0 / 25
39.8%
+43
60.5%
1760
0.46
1064
0 1 = 0 1 1 0 = = = = 1 0 0 = 1 = 1 1 = 1 0 0 1 1
–   Pro Deo 1.62719+22
−22
(+1)9 − 16
(+7−14=4)
36.0%
9.0 / 25
49.2%
−106
57.0%
1980
0.49
1129
0 = = 0 0 = 1 1 0 0 0 = 0 0 0 0 0 0 0 1 0 1 1 1 1
–   WildCat 72718+19
−19
(0)12 − 10
(+10−8=4)
54.5%
12.0 / 22
50.9%
+32
62.3%
1365
0.54
851
1 0 0 = 0 1 1 0 0 0 1 0 = = 1 1 1 1 1 = 0 1
–   Zappa 1.1 64-bit2717+19
−19
(−1)11.5 − 13.5
(+7−9=9)
46.0%
11.5 / 25
52.5%
−25
56.6%
1672
0.62
947
1 1 0 = 1 0 1 = = 0 1 = = 0 0 1 = = = 0 = 0 0 1 0
–   Slow Chess Blitz WV2.12716+19
−19
(−2)8.5 − 16.5
(+5−13=7)
34.0%
8.5 / 25
58.2%
−111
63.2%
1738
0.63
1098
0 = 1 1 0 0 = 0 = 1 0 0 0 1 = = 1 0 0 = 0 0 0 0 =
–   Frenzee 3.0 64-bit2711+19
−19
(−7)11.5 − 13.5
(+9−11=5)
46.0%
11.5 / 25
71.7%
−39
58.9%
1942
0.85
1143
0 0 1 1 0 = 1 = 0 1 1 0 1 0 0 0 1 0 = 1 1 = 0 0 =
–   Colossus 2007d2707+20
−20
(−11)13 − 14
(+9−10=8)
48.1%
13.0 / 27
80.3%
−27
60.4%
2134
0.63
1290
0 1 1 1 0 0 1 = = 1 = 0 0 = = = 1 1 0 = 1 1 0 0 0 = 0
–   Pharaon 3.5.12704+19
−19
(−14)15 − 9
(+13−7=4)
62.5%
15.0 / 24
87.0%
+79
62.7%
1919
0.50
1203
1 0 0 1 0 1 1 0 1 1 0 = = 1 = 1 1 = 0 1 0 1 1 1
–   List 5.122699+18
−18
(−19)12 − 12
(+5−5=14)
50.0%
12.0 / 24
94.3%
−14
58.5%
778
0.62
455
0 = = 0 = = 1 = = = 0 0 = 1 1 1 = = = = = 1 0 =
–   SOS 5.12697+18
−18
(−21)14 − 9
(+12−7=4)
60.9%
14.0 / 23
95.8%
+62
55.9%
1664
0.59
931
1 1 1 1 1 1 = 1 0 1 0 = 0 1 0 0 0 1 0 1 = 1 =
–   Colossus 2007c2694+19
−19
(−24)17 − 9
(+14−6=6)
65.4%
17.0 / 26
97.1%
+85
60.0%
1983
0.55
1189
1 1 1 = 1 1 1 1 1 0 1 0 = 1 1 0 1 1 = 1 0 0 = = 0 =
–   Ruffian 1.0.52687+17
−17
(−31)17.5 − 9.5
(+14−6=7)
64.8%
17.5 / 27
99.4%
+74
57.6%
2278
0.56
1311
1 0 0 0 1 1 = = 1 1 0 = 1 = = 1 1 1 0 1 1 = 1 0 1 = 1
–   Petir 4.392682+18
−18
(−36)17 − 10
(+10−3=14)
63.0%
17.0 / 27
99.8%
+39
60.7%
1566
0.60
951
1 1 = = = = = 1 = 1 1 = 1 = 1 = = 0 = 0 = 1 = 1 = 1 0
–   Pseudo 0.7c2680+18
−18
(−38)17.5 − 8.5
(+15−6=5)
67.3%
17.5 / 26
99.9%
+88
61.3%
2471
0.55
1514
1 1 0 1 0 1 = 1 1 1 1 = 0 = 1 = 1 0 1 0 1 = 1 1 1 0
–   Aristarch 4.502671+18
−18
(−47)13 − 10
(+9−6=8)
56.5%
13.0 / 23
100.0%
−7
57.8%
1226
0.69
709
= 0 0 = 0 = 1 1 = 1 1 1 = 0 1 = = = 1 1 0 0 1
–   Petir 4.9999992670+19
−19
(−48)14.5 − 11.5
(+10−7=9)
55.8%
14.5 / 26
100.0%
−7
62.5%
1750
0.54
1094
1 1 1 = 0 0 = = = 0 0 = 1 1 0 = 1 1 1 1 = 0 = 1 = 0
–   Hamsters 0.62669+18
−18
(−49)16.5 − 10.5
(+13−7=7)
61.1%
16.5 / 27
100.0%
+25
62.4%
2438
0.46
1522
1 1 1 1 1 1 1 = 1 = 0 = = 0 1 = = 0 1 1 0 0 = 0 0 1 1
–   Booot 4.13.12668+18
−18
(−50)14 − 10
(+9−5=10)
58.3%
14.0 / 24
100.0%
+3
61.3%
1528
0.35
936
0 = = = 1 0 = 1 0 1 = 1 0 1 = = = = 1 1 0 1 = 1
–   BugChess2 1.5.22661+18
−18
(−57)17.5 − 10.5
(+14−7=7)
62.5%
17.5 / 28
100.0%
+31
60.1%
2325
0.55
1398
0 1 = 1 = = 1 1 1 0 = 1 0 = 0 1 0 0 1 1 1 = 0 1 1 1 = 1
–   Jonny 2.832652+17
−17
(−66)16 − 9
(+11−4=10)
64.0%
16.0 / 25
100.0%
+25
54.7%
1495
0.55
818
= 1 1 0 = = = 1 = 0 1 1 = = 0 = 1 0 1 1 = = 1 1 1
–   Crafty 21.5 64-bit PS2652+17
−17
(−66)11.5 − 11.5
(+8−8=7)
50.0%
11.5 / 23
100.0%
−64
58.7%
1676
0.63
983
1 0 0 = = 0 0 1 0 0 = 1 0 = 1 1 = = 1 1 = 1 0
–   The Baron 1.8.12651+18
−18
(−67)14 − 15
(+9−10=10)
48.3%
14.0 / 29
100.0%
−77
58.1%
1610
0.92
935
= 0 1 0 1 0 0 0 = 1 = = 1 0 1 1 = 0 1 = 0 1 0 = 0 = = 1 =
–   Anaconda 2.0.12644+17
−17
(−74)15 − 9
(+10−4=10)
62.5%
15.0 / 24
100.0%
+1
60.3%
1314
0.56
792
1 1 = = 0 = 1 0 1 = 0 1 1 = = = = 0 = 1 1 1 1 =
–   Fritz 5.322643+17
−17
(−75)15 − 9
(+9−3=12)
62.5%
15.0 / 24
100.0%
0
65.5%
1049
0.52
687
= 1 = = = 1 = = 0 = 1 = = 0 1 1 = 0 = 1 = 1 1 1
–   Fritz 6 Light2627+19
−19
(−91)18 − 7
(+14−3=8)
72.0%
18.0 / 25
100.0%
+60
59.3%
1813
0.71
1076
1 1 = 1 0 1 1 0 = = = = = 0 1 1 1 1 1 1 1 1 = = 1

Performance

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

Perf = C − 0.164 [±0.331] * 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