CCRL Blitz
Downloads and Statistics
August 8, 2020
Testing summary:
Total: 2'348'441 games
played by 2'769 programs

White wins: 904'859 (38.5%)
Black wins: 727'697 (31.0%)
Draws: 715'885 (30.5%)
White score: 53.8%

Custom engine selection

Comparing 10 engines!
10 selected engines played 0 games with each other

CCRL Blitz Rating List — Custom engine selection (Quote)

Ponder off, General book up to 12 moves, up to 6 piece EGTB
Time control: From Jan 2020, equivalent to 2'+1" on an Intel i7-4770K. See the "about" page.
Computed on August 8, 2020 with Bayeselo based on 2'348'441 games

Color legend: Commercial, Free, Open source, Private.
Bold font - tested with 300 games or more. Normal font - less than 300 games.

RankNameRatingScoreAverage
Opponent
DrawsGamesLOS
Elo+
1FabChess 1.15 64-bit 4CPU3088+21−2155.9%−36.341.1%700 
100.0%
 FabChess 1.14 64-bit 4CPU3019+17−1752.2%−13.045.4%1086
99.8%
 FabChess 1.15 64-bit2983+17−1747.3%+17.636.8%1086
96.3%
 FabChess 1.13 64-bit 4CPU2959+18−1855.6%−36.741.3%941
99.8%
 FabChess 1.14 64-bit2921+18−1851.3%−8.737.8%1021
100.0%
 FabChess 1.13 64-bit2865+20−2050.6%−5.834.8%813
100.0%
 FabChess 1.12 64-bit2789+19−1948.5%+8.534.4%948
100.0%
 FabChess 1.9 64-bit2534+32−3254.9%−35.625.2%345
87.6%
 FabChess 1.9.1 64-bit2511+21−2152.0%−15.920.3%862
100.0%
 FabChess 1.8 64-bit2408+19−1949.8%+1.222.0%1021
 

Results matrix

Custom engine selection
#NameElo12345678910
1FabChess 1.15 64-bit 4CPU3088          
2FabChess 1.14 64-bit 4CPU3019          
3FabChess 1.15 64-bit2983          
4FabChess 1.13 64-bit 4CPU2959          
5FabChess 1.14 64-bit2921          
6FabChess 1.13 64-bit2865          
7FabChess 1.12 64-bit2789          
8FabChess 1.9 64-bit2534          
9FabChess 1.9.1 64-bit2511          
10FabChess 1.8 64-bit2408          
Performance color legend:
(Only pairs with at least 30 games)
-120 -100 -80 -60 -40 -20 0 20 40 60 80 100 120

LOS matrix

Custom engine selection
#NameElo12345678910
1FabChess 1.15 64-bit 4CPU3088 100.0100.0100.0100.0100.0100.0100.0100.0100.0
2FabChess 1.14 64-bit 4CPU30190.0 99.8100.0100.0100.0100.0100.0100.0100.0
3FabChess 1.15 64-bit29830.00.2 96.3100.0100.0100.0100.0100.0100.0
4FabChess 1.13 64-bit 4CPU29590.00.03.7 99.8100.0100.0100.0100.0100.0
5FabChess 1.14 64-bit29210.00.00.00.2 100.0100.0100.0100.0100.0
6FabChess 1.13 64-bit28650.00.00.00.00.0 100.0100.0100.0100.0
7FabChess 1.12 64-bit27890.00.00.00.00.00.0 100.0100.0100.0
8FabChess 1.9 64-bit25340.00.00.00.00.00.00.0 87.6100.0
9FabChess 1.9.1 64-bit25110.00.00.00.00.00.00.012.4 100.0
10FabChess 1.8 64-bit24080.00.00.00.00.00.00.00.00.0 
LOS color legend:
0 10 20 30 40 50 60 70 80 90 100

Number of connecting games matrix

Custom engine selection
#NameElo12345678910
1FabChess 1.15 64-bit 4CPU3088 714910000000
2FabChess 1.14 64-bit 4CPU3019714 191186000000
3FabChess 1.15 64-bit298391191 96894064000
4FabChess 1.13 64-bit 4CPU2959018696 288288285000
5FabChess 1.14 64-bit292100894288 704128000
6FabChess 1.13 64-bit2865000288704 637000
7FabChess 1.12 64-bit27890064285128637 000
8FabChess 1.9 64-bit25340000000 00
9FabChess 1.9.1 64-bit251100000000 511
10FabChess 1.8 64-bit240800000000511 
Number of connecting games color legend:
0 200 400 600 800 1000 1200 1400 1600 1800 2000 2200 2400 2600 2800 3000

Percentage of connecting games matrix

Custom engine selection
#NameElo12345678910
1FabChess 1.15 64-bit 4CPU3088 40.05.10.00.00.00.00.00.00.0
2FabChess 1.14 64-bit 4CPU301940.0 8.89.20.00.00.00.00.00.0
3FabChess 1.15 64-bit29835.18.8 4.742.40.03.10.00.00.0
4FabChess 1.13 64-bit 4CPU29590.09.24.7 14.716.415.10.00.00.0
5FabChess 1.14 64-bit29210.00.042.414.7 38.46.50.00.00.0
6FabChess 1.13 64-bit28650.00.00.016.438.4 36.20.00.00.0
7FabChess 1.12 64-bit27890.00.03.115.16.536.2 0.00.00.0
8FabChess 1.9 64-bit25340.00.00.00.00.00.00.0 0.00.0
9FabChess 1.9.1 64-bit25110.00.00.00.00.00.00.00.0 27.1
10FabChess 1.8 64-bit24080.00.00.00.00.00.00.00.027.1 
Percentage of connecting games color legend:
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100

Score with 51 common opponents

Custom engine selection
NameEloFabChess
1.15
64-bit
4CPU
FabChess
1.14
64-bit
4CPU
FabChess
1.15
64-bit
FabChess
1.13
64-bit
4CPU
FabChess
1.14
64-bit
FabChess
1.13
64-bit
FabChess
1.12
64-bit
FabChess
1.9
64-bit
FabChess
1.9.1
64-bit
FabChess
1.8
64-bit
SmarThink 1.98 64-bit304457%
33.5/59
49%
31.5/64
50%
16/32
       
Spike 1.4 Leiden 4CPU304065%
37.5/58
42%
28/66
        
Bagatur 2.1 64-bit 4CPU303362%
35.5/57
39%
12.5/32
        
Spark 1.0 64-bit 4CPU302756%
33.5/60
44%
28.5/65
        
Deuterium 2019.2.37.73 64-bit302263%
38.5/61
45%
30/66
        
Hakkapeliitta TCEC v2 64-bit302060%
35.5/59
49%
32.5/67
        
Invictus r305 64-bit 4CPU3003 64%
43/67
 47%
56.5/119
      
Gogobello 2.2 64-bit2991  56%
18/32
 27%
8.5/32
     
Godel 7.0 64-bit2982 58%
36.5/63
50%
16/32
       
Topple 0.7.5 64-bit2980  53%
17/32
 39%
12.5/32
     
Crafty 25.3 64-bit2965  52%
16.5/32
 53%
17/32
     
Bobcat 8.0 64-bit2960  47%
15/32
 33%
10.5/32
     
Combusken 1.0.0 64-bit2958    39%
12.5/32
38%
12/32
    
Cheng 4.39 64-bit2942  69%
22/32
 45%
14.5/32
     
Spark 1.0 64-bit2927  73%
23.5/32
 50%
16/32
     
Dirty CUCUMBER 64-bit2926  59%
19/32
 53%
16.5/31
     
Asymptote 0.8 64-bit2925  64%
20.5/32
 53%
17/32
     
Atlas 3.91 64-bit2923  55%
17.5/32
55%
41.5/76
44%
14/32
     
Toga II 4.0 64-bit2921  62%
20/32
 56%
18/32
     
Spike 1.4 Leiden2920  64%
20.5/32
 48%
15.5/32
     
NameEloFabChess
1.15
64-bit
4CPU
FabChess
1.14
64-bit
4CPU
FabChess
1.15
64-bit
FabChess
1.13
64-bit
4CPU
FabChess
1.14
64-bit
FabChess
1.13
64-bit
FabChess
1.12
64-bit
FabChess
1.9
64-bit
FabChess
1.9.1
64-bit
FabChess
1.8
64-bit
Invictus r305 64-bit2917  42%
13.5/32
 59%
19/32
 36%
11.5/32
   
EXchess 7.97b 64-bit2916  72%
23/32
 59%
19/32
     
DiscoCheck 5.2.1 64-bit2913  70%
22.5/32
 50%
15.5/31
     
Quazar 0.4 64-bit2901   62%
47.5/76
52%
16.5/32
     
Daydreamer 2.0.0-pre2 64-bit2892    48%
15.5/32
56%
18/32
    
Gogobello 2.1 64-bit2892    47%
15/32
44%
14/32
    
Counter 3.4 64-bit2888    50%
16/32
53%
17/32
    
Topple 0.7.2 64-bit2888     58%
18.5/32
41%
13/32
   
The Baron 3.44 64-bit2886    61%
19.5/32
34%
11/32
    
Murka 3 64-bit2882    61%
19.5/32
47%
15/32
    
Asymptote 0.7 64-bit2881    67%
21.5/32
39%
12.5/32
    
Gaviota 1.0 64-bit2872    56%
18/32
52%
16.5/32
    
MinkoChess 1.3 64-bit2869    56%
18/32
48%
15.5/32
    
DisasterArea 1.65 64-bit2868    58%
18.5/32
48%
15.5/32
    
Nemo 1.0.1 64-bit2857   62%
46.5/75
53%
17/32
45%
14.5/32
45%
14.5/32
   
Zappa Mexico II 64-bit2846     52%
16.5/32
48%
15.5/32
   
Onno 1.2.70 64-bit2842     62%
20/32
35%
11/31
   
Tornado 8.0 64-bit2827     52%
16.5/32
45%
14.5/32
   
Monolith 1.0 64-bit2818     53%
17/32
35%
11/31
   
RuyDos 1.1.10 64-bit2807   78%
60/77
 78%
25/32
53%
17/32
   
NameEloFabChess
1.15
64-bit
4CPU
FabChess
1.14
64-bit
4CPU
FabChess
1.15
64-bit
FabChess
1.13
64-bit
4CPU
FabChess
1.14
64-bit
FabChess
1.13
64-bit
FabChess
1.12
64-bit
FabChess
1.9
64-bit
FabChess
1.9.1
64-bit
FabChess
1.8
64-bit
Rhetoric 1.4.3 64-bit2806   72%
54.5/76
 50%
16/32
31%
9.5/31
   
Cheese 2.1 64-bit2805     70%
22.5/32
50%
16/32
   
Octochess r5190 64-bit2780     50%
16/32
50%
16/32
   
Flux 2.2.12439        56%
18/32
52%
16.5/32
MadChess 2.2 64-bit2436        53%
16.5/31
48%
15.5/32
LambChop 10.992433        61%
19.5/32
42%
13.5/32
Abrok 5.02432        55%
17.5/32
33%
10.5/32
Gaia 3.5 64-bit2424        55%
17.5/32
56%
18/32
Nejmet 3.072424        77%
24.5/32
53%
17/32
Hussar 0.42421        73%
23.5/32
47%
15/32
Dragon 4.62417        69%
22/32
61%
19.5/32
Score color legend:
(Only pairs with at least 30 games)
0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% 100%

Alter engine selection



Alter output selection

Rating list
Testing profile
  (Step: , Numbers: )

Results table
Performance table
Score table
LOS table
Proportion of draws
Number of games
Number of connecting games
Percentage of connecting games
Score with common opponents
Score with all opponents
Performance with common opponents
Performance with all opponents
LOS with common opponents
LOS with all opponents

Maximum size of cross-tables (from 2 to 100):
Limit crosstables to engines in Elo range: to
Match length (Minimum number of games to highlight with color):

Cross-tables show only best version of each engine
Sort cross-tables by:   Rating   Name
Highlight diagonal of cells wide. (0 to highlight everything)

Reference rating list:
Recalibrate:
  No recalibration (reference and current list are compared as they are)
  Recalibrate reference list to current one using selected engines only
  Recalibrate reference list to current one using all common engines
  Recalibrate current list to reference using selected engines only
  Recalibrate current list to reference using all common engines


Created in 2005-2013 by CCRL team
Last games added on August 8, 2020