Addition to Stefan Pohl EAS rating list

Subject: Addition to Stefan Pohl EAS rating list Sun Jun 18, 2023 10:31 am

Code::    bad avg.win
Rank EAS-Score sacs shorts draws moves Engine/player
-------------------------------------------------------------------
   1 112432 20.00% 27.44% 17.59% 60 SF13
   2 102691 14.55% 24.73% 19.23% 59 SF14
   3 94725 18.63% 19.02% 19.02% 64 Rebel
   4 92948 13.73% 23.53% 19.65% 65 SlowChess_2.9
   5 87975 10.91% 24.55% 24.29% 63 Chess-System-Tal-1.35
   6 78980 18.47% 19.11% 24.27% 69 SF12
   7 68298 10.58% 25.00% 27.11% 61 Seer_2.6.0
   8 49478 05.68% 17.61% 24.82% 66 Berserk_10
   9 44327 06.03% 16.38% 24.70% 69 Koivisto_8.0
  10 43311 04.52% 14.84% 28.90% 66 Berserk_9
  11 39642 03.33% 12.78% 24.66% 70 Koivisto_9.0

This is the result of Sfetan's EAS tool based on 8000 training games played at bullet time control.

As an addition I wrote a tool that only looks at sacrifices engines make and (of course) a queen sacrifice is a lot more worth than a pawn sacrifice. We get -

Code:: Engine Won Loss Perc Points
SF13 43 2 95.6% 57333
SF14 40 4 90.9% 53636
Rebel 288 172 62.6% 29238
SF12 29 18 61.7% 30851
Chess-System-Tal-1.35 12 18 40.0% 8800
Berserk_10 10 36 21.7% 2608
Seer_2.6.0 11 46 19.3% 2894
Koivisto_9.0 6 27 18.2% 1272
Koivisto_8.0 7 38 15.6% 1399
SlowChess_2.9 7 48 12.7% 1400
Berserk_9 7 51 12.1% 1568

We can see a couple of remarkable changes, SF miles ahead, Slowchess was 4th and now almost last.

Posts : 1254 Join date : 2020-11-17 Location : France

Admin wrote:

Code::    bad avg.win
Rank EAS-Score sacs shorts draws moves Engine/player
-------------------------------------------------------------------
   1 112432 20.00% 27.44% 17.59% 60 SF13
   2 102691 14.55% 24.73% 19.23% 59 SF14
   3 94725 18.63% 19.02% 19.02% 64 Rebel
   4 92948 13.73% 23.53% 19.65% 65 SlowChess_2.9
   5 87975 10.91% 24.55% 24.29% 63 Chess-System-Tal-1.35
   6 78980 18.47% 19.11% 24.27% 69 SF12
   7 68298 10.58% 25.00% 27.11% 61 Seer_2.6.0
   8 49478 05.68% 17.61% 24.82% 66 Berserk_10
   9 44327 06.03% 16.38% 24.70% 69 Koivisto_8.0
  10 43311 04.52% 14.84% 28.90% 66 Berserk_9
  11 39642 03.33% 12.78% 24.66% 70 Koivisto_9.0

This is the result of Sfetan's EAS tool based on 8000 training games played at bullet time control.

As an addition I wrote a tool that only looks at sacrifices engines make and (of course) a queen sacrifice is a lot more worth than a pawn sacrifice. We get -

Code:: Engine Won Loss Perc Points
SF13 43 2 95.6% 57333
SF14 40 4 90.9% 53636
Rebel 288 172 62.6% 29238
SF12 29 18 61.7% 30851
Chess-System-Tal-1.35 12 18 40.0% 8800
Berserk_10 10 36 21.7% 2608
Seer_2.6.0 11 46 19.3% 2894
Koivisto_9.0 6 27 18.2% 1272
Koivisto_8.0 7 38 15.6% 1399
SlowChess_2.9 7 48 12.7% 1400
Berserk_9 7 51 12.1% 1568

We can see a couple of remarkable changes, SF miles ahead, Slowchess was 4th and now almost last.

Both sacrifices and moves to win, all else equal, are proportional to Elo. To get at the "all else equal" components, you would need to normalise for Elo.

EAS, btw, is highly volatile and needs possibly 20,000 games before it gets stable.
In general, I think we are "interested" in sacrifices the engine chooses on evaluation grounds, and not because it sees a win at the end of the line (that's not really a sacrifice, imo). The current tool for edfining a sac doesn't differentiate between eval sacs and search sacs. Obviously search sac count will increase with Elo, which is why SFs are scoring high there.

One differentiation method could be to measure the number of moves the sac condition held for, the greater the number, the more likely it's an evaluation sac. You need a PGN parser with more functionality than the one used at the moment.

Subject: Re: Addition to Stefan Pohl EAS rating list Sun Jun 18, 2023 5:12 pm

Chris Whittington wrote:

Admin wrote:

Code::    bad avg.win
Rank EAS-Score sacs shorts draws moves Engine/player
-------------------------------------------------------------------
   1 112432 20.00% 27.44% 17.59% 60 SF13
   2 102691 14.55% 24.73% 19.23% 59 SF14
   3 94725 18.63% 19.02% 19.02% 64 Rebel
   4 92948 13.73% 23.53% 19.65% 65 SlowChess_2.9
   5 87975 10.91% 24.55% 24.29% 63 Chess-System-Tal-1.35
   6 78980 18.47% 19.11% 24.27% 69 SF12
   7 68298 10.58% 25.00% 27.11% 61 Seer_2.6.0
   8 49478 05.68% 17.61% 24.82% 66 Berserk_10
   9 44327 06.03% 16.38% 24.70% 69 Koivisto_8.0
  10 43311 04.52% 14.84% 28.90% 66 Berserk_9
  11 39642 03.33% 12.78% 24.66% 70 Koivisto_9.0

This is the result of Sfetan's EAS tool based on 8000 training games played at bullet time control.

As an addition I wrote a tool that only looks at sacrifices engines make and (of course) a queen sacrifice is a lot more worth than a pawn sacrifice. We get -

Code:: Engine Won Loss Perc Points
SF13 43 2 95.6% 57333
SF14 40 4 90.9% 53636
Rebel 288 172 62.6% 29238
SF12 29 18 61.7% 30851
Chess-System-Tal-1.35 12 18 40.0% 8800
Berserk_10 10 36 21.7% 2608
Seer_2.6.0 11 46 19.3% 2894
Koivisto_9.0 6 27 18.2% 1272
Koivisto_8.0 7 38 15.6% 1399
SlowChess_2.9 7 48 12.7% 1400
Berserk_9 7 51 12.1% 1568

We can see a couple of remarkable changes, SF miles ahead, Slowchess was 4th and now almost last.

Both sacrifices and moves to win, all else equal, are proportional to Elo. To get at the "all else equal" components, you would need to normalise for Elo.

EAS, btw, is highly volatile and needs possibly 20,000 games before it gets stable.
In general, I think we are "interested" in sacrifices the engine chooses on evaluation grounds, and not because it sees a win at the end of the line (that's not really a sacrifice, imo). The current tool for edfining a sac doesn't differentiate between eval sacs and search sacs. Obviously search sac count will increase with Elo, which is why SFs are scoring high there.

One differentiation method could be to measure the number of moves the sac condition held for, the greater the number, the more likely it's an evaluation sac. You need a PGN parser with more functionality than the one used at the moment.

Correct observation and at bullet level SF performs at its best.

The most simple solution to measure sacs is to use elo pools with engines of about equal elo.

Subject: Re: Addition to Stefan Pohl EAS rating list Sun Jun 18, 2023 5:23 pm

Example with 250K games of the gambit rating list.

EAS first

Code::    bad avg.win
Rank EAS-Score sacs shorts draws moves Engine/player
-------------------------------------------------------------------
   1 270054 37.56% 19.95% 21.81% 52 Arasan_23.2
   2 259589 38.67% 29.85% 17.37% 52 Seer_2.0.1
   3 259091 41.11% 21.82% 19.14% 55 Seer_2.1.0
   4 253463 37.60% 24.96% 14.13% 52 Danasah_9.0
   5 239360 40.47% 25.41% 18.50% 52 Seer_2.0.0
   6 233449 40.63% 19.22% 22.37% 55 Arasan_23.0.1
   7 232345 33.66% 21.42% 22.06% 54 Pedone_3.0
   8 226895 45.18% 23.74% 17.44% 54 Danasah_8.8
   9 209773 36.65% 16.75% 19.90% 53 Arasan_23.1
  10 206771 39.78% 12.36% 23.26% 60 SlowChess_2.6
  11 206151 29.46% 30.24% 22.79% 48 Marvin_5.1
  12 201827 35.87% 27.76% 17.75% 52 Berserk_3.3.0
  13 200501 35.35% 19.96% 20.13% 60 Orion_0.8
  14 198873 30.71% 13.48% 22.45% 57 SlowChess_2.4
  15 198388 27.63% 24.43% 21.01% 52 Lzero_v27
  16 190552 39.58% 28.54% 21.77% 50 Benjamin_1.1
  17 186075 35.29% 11.92% 22.20% 62 SlowChess_2.5
  18 176963 25.00% 34.44% 18.18% 53 Arasan_12.2
  19 175080 39.94% 20.94% 19.25% 54 Zevra_2.4-r380
  20 170106 25.71% 26.74% 25.15% 53 Marvin_5.0
  21 164891 34.73% 11.76% 15.08% 56 Stockfish_14.1
  22 162546 34.54% 24.15% 28.72% 55 Shallow_v4
  23 161698 31.93% 12.79% 16.01% 57 Stockfish_21-10-06
  24 161514 37.30% 12.50% 22.00% 57 Seer_2.2.0
  25 157980 29.55% 22.50% 24.47% 54 Lzero_v28
  26 156028 33.18% 14.88% 20.64% 54 Komodo-Dragon_2.5
  27 152983 26.96% 29.22% 18.45% 53 Benjamin_1.0
  28 151819 30.43% 11.37% 17.18% 57 Stockfish_14
  29 147021 32.31% 10.46% 27.29% 54 Lc0_v28
  30 145316 28.51% 11.38% 19.73% 59 Stockfish_13
  31 144925 31.21% 23.74% 19.03% 54 GreKo_2021-08
  32 143146 30.76% 12.87% 19.64% 55 Komodo-Dragon_2
  33 142466 29.53% 12.51% 19.97% 55 Komodo-Dragon
  34 140318 31.82% 20.27% 15.83% 56 Velvet_3.0.0
  35 136494 33.50% 19.74% 23.65% 55 Cheng_4.41
  36 135565 27.41% 13.71% 21.81% 56 Stockfish_11
  37 133730 31.10% 10.53% 19.21% 61 SlowChess_2.8
  38 132725 26.85% 21.77% 26.79% 51 Marvin_5.2
  39 131114 24.73% 22.58% 21.92% 56 Foxsee_7.8
  40 130089 24.19% 21.63% 25.87% 54 Berserk_4.0.0
  41 129145 27.86% 16.43% 25.67% 56 Seer_1.2.1
  42 128393 26.58% 15.92% 24.13% 61 Winter_0.9
  43 127344 27.32% 25.04% 22.99% 54 Myrddin_0.88
  44 126496 22.43% 23.83% 20.75% 54 Vajolet2_2.8
  45 126254 30.31% 24.21% 23.78% 55 Loki_3.5.0
  46 125492 25.06% 05.80% 25.54% 66 Berserk_8
  47 125303 32.08% 07.53% 22.61% 60 Seer_2.3.0
  48 122012 24.80% 13.13% 21.43% 55 Stockfish_21-05-18
  49 121277 24.97% 23.57% 26.79% 54 Wasp_4.50
  50 119879 25.12% 20.03% 20.47% 55 Wasp_2.00
  51 119165 27.41% 18.51% 23.72% 55 ProDeo_3.1
  52 117828 25.31% 08.85% 21.93% 58 Komodo_12
  53 116496 26.10% 24.34% 21.90% 57 Zahak_3.0
  54 115476 30.15% 05.93% 23.71% 66 Pedone_3.1
  55 115448 24.35% 20.31% 19.95% 57 Foxsee_7.20.1
  56 114683 29.37% 15.86% 20.49% 56 Velvet_3.1.0
  57 113991 23.26% 17.75% 19.35% 56 Critter_1.6
  58 113724 28.00% 21.31% 22.07% 56 Zahak_4.0
  59 113681 29.93% 20.73% 28.11% 56 Weiss_1.3
  60 113048 28.24% 07.83% 24.79% 62 RubiChess_2.2
  61 112399 26.84% 06.79% 21.15% 64 Stockfish_12
  62 111824 29.51% 18.56% 23.11% 57 Velvet_2.0.0
  63 110384 18.57% 02.61% 20.62% 89 Lc0-v27
  64 110083 24.72% 20.75% 19.15% 58 Arasan_16.0
  65 109187 20.13% 16.67% 21.63% 56 Koivisto_4.83
  66 109143 25.41% 19.34% 25.37% 57 Wasp_5.00
  67 108943 25.05% 16.36% 16.67% 58 Fridolin_3.10
  68 108251 25.46% 20.95% 25.78% 57 Cheese_2.2
  69 108017 28.12% 14.79% 22.11% 59 Minic_3.08
  70 107869 20.14% 19.62% 25.64% 54 Weiss_1.4
  71 107256 31.07% 17.48% 20.70% 60 Lozza_2.0a
  72 106770 22.39% 20.40% 22.83% 56 Nalwald_1.9
  73 106574 22.34% 23.63% 27.82% 52 Monolith_0.3
  74 105852 23.55% 10.86% 26.21% 58 Komodo_14
  75 105354 25.31% 08.79% 22.51% 59 Seer_2.4.0
  76 103165 30.04% 17.98% 26.73% 56 Wasp_1.25
  77 102061 25.67% 10.68% 19.47% 61 Nalwald_1.10
  78 101922 27.84% 19.78% 24.46% 56 MinimalChess_06
  79 101759 22.46% 20.51% 26.27% 54 Arasan_22.3
  80 101245 22.94% 17.01% 20.50% 60 Knightx_2.8
  81 101199 18.02% 19.92% 21.34% 57 Galjoen_0.41.1
  82 100619 18.92% 09.12% 18.89% 58 MadChess_3.0
  83 99715 21.91% 05.04% 26.53% 66 Koivisto_7.5
  84 99385 26.26% 16.19% 27.66% 59 Wasp_1.02
  85 99232 25.90% 08.63% 23.65% 59 Stockfish_9
  86 99152 24.90% 17.43% 25.98% 56 Marvin_2.0
  87 98199 26.52% 16.37% 24.78% 57 Cheng_4.40
  88 98023 25.75% 18.87% 27.22% 57 Wasp_2.01
  89 97870 22.50% 04.89% 26.14% 68 Koivisto_6.23
  90 96570 24.32% 15.97% 24.04% 57 Colossus_2021b
  91 96311 25.54% 13.93% 22.97% 58 Invictus_r340
  92 96226 26.25% 13.19% 22.96% 62 Minic_3.13
  93 95762 22.57% 15.59% 21.22% 59 Stockfish_5
  94 95285 23.08% 18.60% 25.23% 57 Toga_III-03.12
  95 94980 20.21% 15.29% 22.88% 56 h6
  96 93454 28.01% 12.75% 24.02% 58 Stockfish_10
  97 93246 26.87% 13.71% 23.14% 58 Drofa_3.0.0
  98 92136 25.56% 13.90% 25.27% 59 Minic_3.07
  99 91637 15.38% 18.02% 21.18% 56 Nalwald_1.8.1
100 90681 22.17% 08.77% 25.58% 62 Zahak_9.0
101 90240 29.32% 13.05% 28.66% 58 BitGenie_9
102 89434 25.75% 15.18% 23.12% 56 Bagatur_2.3
103 89346 28.66% 08.92% 24.03% 62 SlowChess_2.7
104 88625 24.83% 07.10% 23.28% 62 Minic_3.16
105 88146 22.76% 15.13% 25.37% 58 Berserk_4.1.0
106 88064 14.91% 15.79% 32.61% 58 Arasan_13.0
107 87868 20.50% 18.51% 25.86% 58 Berserk_4.2.0
108 87678 23.14% 17.39% 30.11% 56 Stash_31.0
109 86832 26.87% 12.56% 26.33% 59 Komodo_1.0
110 86498 23.15% 13.13% 22.73% 59 Rodent_4.022
111 86465 21.37% 17.38% 24.42% 56 Galjoen_0.41.2
112 85084 21.97% 15.86% 24.30% 58 Jumbo_0.6.10
113 85036 16.33% 21.57% 25.97% 56 Jumbo_0.7.0
114 84464 22.28% 04.02% 22.99% 65 Koivisto_6.0-sse2
115 84309 23.99% 06.78% 21.78% 63 Minic_3.17
116 84204 20.80% 15.16% 23.65% 58 Fruit_2.1
117 83468 25.61% 14.49% 24.36% 59 Dumb_1.8
118 83115 24.34% 12.51% 27.32% 58 Weiss_2.0
119 82744 24.83% 13.67% 26.08% 58 Minic_3.06
120 82675 23.85% 15.29% 26.27% 58 Colossus_2021a
121 82211 25.30% 12.25% 23.88% 59 Mr_Bob_1.1.0
122 82061 20.39% 04.12% 27.73% 68 Berserk_7
123 82001 19.69% 08.29% 24.63% 62 Stockfish_7
124 81653 16.06% 16.06% 28.00% 58 Orion_03
125 80950 19.72% 13.49% 20.68% 60 Jumbo_0.5.3
126 80796 20.59% 04.27% 27.51% 66 Koivisto_6.16
127 80617 22.49% 16.32% 26.89% 57 Beef_0.3.6
128 80321 19.93% 04.45% 27.36% 66 Koivisto_7.9
129 80075 17.65% 16.76% 22.49% 57 BitGenie_5.h64
130 79755 20.09% 03.70% 26.54% 69 Koivisto_7.0
131 79599 21.04% 13.50% 22.18% 57 BitGenie_6
132 79512 31.91% 05.57% 27.73% 62 Black-Marlin_1.0
133 78097 18.16% 13.36% 25.07% 57 Booot_6.5
134 77739 21.83% 05.65% 25.73% 63 Berserk_5
135 76937 29.01% 11.50% 29.45% 59 Drofa_3.2.0
136 76871 17.96% 19.25% 27.09% 56 Combusken_1.4.0
137 76503 21.88% 08.45% 22.45% 59 Mantissa_2.5.0
138 75936 21.70% 13.73% 22.59% 59 k2_099
139 75466 23.87% 12.53% 25.11% 59 FabChess_1.16
140 75359 19.90% 11.83% 27.32% 60 Berserk_4.3.0
141 75018 21.14% 09.01% 20.45% 61 Nalwald_1.14
142 74964 23.73% 05.07% 22.56% 68 Minic_3.14
143 74697 23.43% 10.90% 25.71% 59 Minic_3.09
144 74650 21.09% 12.85% 23.42% 59 Zahak_5.0
145 74564 20.42% 02.92% 22.78% 64 Berserk_4.4.0
146 74179 14.06% 15.63% 24.92% 57 Koivisto_4.0
147 74049 19.34% 12.96% 23.81% 58 ProDeo_2.2
148 73910 25.70% 08.91% 27.54% 63 Zahak_7.0
149 73199 19.65% 16.81% 29.37% 57 Demolito_2021-09-30
150 72920 19.17% 08.16% 25.37% 62 Berserk_4.5.0
151 72837 20.20% 13.09% 27.01% 57 Minic_3.04
152 72759 15.29% 14.36% 22.43% 58 BitGenie_5
153 72661 18.83% 18.36% 27.27% 57 Orion_04
154 72606 15.32% 03.60% 27.04% 67 Igel_3.0.0
155 72043 24.05% 16.00% 30.32% 57 Mr.Bob_1.0.0
156 71404 21.89% 07.71% 25.05% 61 Komodo_10
157 71366 22.36% 18.18% 30.27% 57 Stash_29.0
158 71304 18.45% 09.52% 26.11% 59 Stockfish_8
159 70967 20.44% 16.39% 23.48% 59 Monolith_0.4
160 70893 15.87% 14.06% 24.45% 60 Monolith_2
161 70567 16.56% 19.67% 30.54% 56 Counter_4.0
162 70164 20.67% 11.64% 26.94% 60 Clover_2.4
163 69835 19.26% 12.95% 25.30% 61 Supernova_2.3
164 69244 23.84% 09.29% 22.32% 61 Nalwald_1.11
165 69221 18.14% 14.01% 27.08% 56 Clover_2.3.1
166 69088 12.32% 09.42% 24.32% 61 Arasan_14.1
167 68916 22.87% 15.56% 30.64% 59 Stash_30.0
168 68515 12.82% 16.03% 27.38% 57 Arasan_22.2
169 68376 19.17% 04.34% 27.45% 67 Koivisto_7.2
170 68264 16.67% 14.41% 28.14% 59 Stash_32.0
171 67811 18.84% 10.52% 27.63% 59 Komodo_11
172 67803 21.05% 11.89% 28.89% 61 Halogen_10
173 66604 19.49% 12.87% 26.20% 58 Invictus_r382
174 66400 18.05% 14.68% 24.85% 59 Topple_0.8.0
175 65596 18.33% 12.53% 28.20% 57 Minic_3.04x
176 65056 19.26% 10.68% 26.76% 59 Ethereal_12.00
177 65022 21.22% 12.65% 26.15% 58 ProDeo_3.0
178 64684 15.92% 13.59% 23.21% 59 CT800_1.43
179 64288 19.45% 13.93% 25.25% 59 Velvet_1.2.0
180 64064 17.90% 15.91% 34.20% 60 Orion_06
181 64015 16.31% 12.71% 26.04% 58 Clover_2.2
182 63721 19.96% 15.77% 28.47% 63 Supernova_2.4
183 63439 18.21% 11.63% 27.89% 59 Nemo_1.01
184 63339 23.30% 08.10% 26.46% 60 BitGenie_8
185 63310 17.09% 18.25% 31.53% 59 Orion_05
186 62979 19.40% 08.31% 26.77% 63 Stockfish_6
187 62422 25.06% 06.26% 25.63% 65 Igel_3.0.5
188 61811 21.22% 07.80% 29.15% 63 Ethereal_12.75
189 61326 24.07% 13.77% 29.68% 61 Orion_07
190 59775 24.14% 08.77% 27.06% 62 Asymptote_0.8
191 59271 24.59% 06.41% 25.76% 66 RubiChess_2.1
192 58085 18.21% 07.76% 26.79% 61 Counter_3.9
193 57531 25.15% 05.59% 25.58% 65 Drofa_3.1.0
194 57219 16.95% 06.78% 30.48% 59 Ethereal_13-NNUE
195 56352 16.03% 09.73% 28.38% 60 rofChade_2.3
196 56272 15.89% 07.28% 30.15% 66 Berserk_6
197 54952 16.00% 10.67% 35.96% 53 RubiChess_2.0
198 54791 12.83% 02.63% 21.67% 66 Olithink_5.9.5
199 54735 18.79% 07.98% 29.53% 61 BitGenie_7
200 53806 23.27% 06.24% 26.60% 63 Zahak_6.0
201 53226 18.06% 04.93% 27.68% 62 Ethereal_13.25-NNUE
202 52506 23.85% 06.09% 30.17% 67 Zahak_8.0
203 51536 13.81% 11.84% 27.66% 62 CT800_1.42
204 50993 19.67% 07.49% 26.11% 62 Tucano_9.0
205 50663 16.43% 13.14% 33.67% 57 Counter_3.7
206 50655 20.05% 06.64% 26.66% 69 Nemorino_6.00
207 49340 19.51% 05.71% 26.04% 63 Amoeba_3.3
208 48127 15.59% 07.46% 30.41% 58 Ethereal_12.50
209 47153 13.87% 08.39% 29.33% 60 Pirarucu_3.5.5
210 46306 11.21% 10.28% 28.25% 60 Ethereal_12.25
211 42484 14.18% 05.82% 24.45% 67 Olithink_5.9.9
212 41920 17.48% 07.11% 29.92% 62 Counter_3.8
213 41514 14.58% 07.74% 26.79% 64 Olithink_5.9.3
214 40109 14.68% 04.19% 28.29% 67 Olithink_5.9.8

ESL sacrifices only

Code:: Engine Won Loss Perc Points
Stockfish_14.1 614 3 99.5% 1166301
Stockfish_21-10-06 387 8 98.0% 7504864
Stockfish_14 772 17 97.8% 1506818
Stockfish_13 546 15 97.3% 1063775
Stockfish_21-05-18 153 10 93.9% 265638
Komodo-Dragon_2.5 495 45 91.7% 879999
Berserk_3.3.0 146 14 91.3% 257325
Stockfish_12 328 43 88.4% 564053
Seer_2.0.0 172 25 87.3% 330030
Komodo-Dragon_2 853 131 86.7% 1411264
Danasah_9.0 232 40 85.3% 450352
Komodo-Dragon 335 61 84.6% 566792
Arasan_23.0.1 167 32 83.9% 319733
Danasah_8.8 393 76 83.8% 697176═
Seer_2.0.1 522 101 83.8% 991213
Velvet_3.0.0 168 36 82.4% 219058
Seer_2.2.0 182 42 81.3% 295750
Seer_2.1.0 488 140 77.7% 893630
Zahak_4.0 264 77 77.4% 330580
Stockfish_11 142 45 75.9% 216417
Lc0_v28 105 34 75.5% 160899
Invictus_r340 142 47 75.1% 171301
Pedone_3.0 242 83 74.5% 444535
Velvet_3.1.0 163 59 73.4% 198243
Lozza_2.0a 160 60 72.7% 191272
GreKo_2021-08 166 65 71.9% 204086
Myrddin_0.88 191 78 71.0% 225791
Marvin_5.2 185 78 70.3% 227908
Lzero_v27 181 77 70.2% 290441
Arasan_23.2 145 66 68.7% 246706
Drofa_3.2.0 159 78 67.1% 169734
Black-Marlin_1.0 149 74 66.8% 169713
Benjamin_1.1 190 95 66.7% 235999
Arasan_22.3 150 75 66.7% 163333
Wasp_2.01 146 74 66.4% 159272
Stockfish_9 252 131 65.8% 311874
BitGenie_6 134 70 65.7% 130058
Seer_2.3.0 179 97 64.9% 229586
Invictus_r382 53 29 64.6% 49768
BitGenie_9 146 80 64.6% 164734
Stockfish_10 323 178 64.5% 348143
SlowChess_2.8 195 109 64.1% 241184
Weiss_1.3 296 168 63.8% 339379
Arasan_12.2 98 57 63.2% 113806
Loki_3.5.0 154 90 63.1% 164098
Koivisto_4.83 151 90 62.7% 169170
Lc0-v27 57 34 62.6% 80802
Bagatur_2.3 95 57 62.5% 86875
Velvet_2.0.0 237 143 62.4% 248849
Wasp_1.25 152 92 62.3% 152622
Berserk_8 108 66 62.1% 149586
Orion_0.8 333 204 62.0% 460743
Nalwald_1.9 90 56 61.6% 88150
Minic_3.17 131 83 61.2% 137733
Benjamin_1.0 251 160 61.1% 259549
Zevra_2.4-r380 145 93 60.9% 169369
Wasp_2.00 162 104 60.9% 163218
Winter_0.9 201 130 60.7% 249580
Nalwald_1.10 125 81 60.7% 126820
Dumb_1.8 251 165 60.3% 237725
Seer_2.4.0 121 80 60.2% 139059
Lzero_v28 151 101 59.9% 185154
Minic_3.13 215 144 59.9% 220988
Mantissa_2.5.0 114 80 58.8% 108123
Galjoen_0.41.2 74 52 58.7% 68126
Cheng_4.41 331 237 58.3% 349065
Zahak_9.0 182 131 58.1% 201769
Mr_Bob_1.1.0 190 138 57.9% 175518
Critter_1.6 211 154 57.8% 202328
Minic_3.16 112 84 57.1% 111999
Komodo_12 103 78 56.9% 112674
Fridolin_3.10 124 94 56.9% 109779
Orion_06 63 48 56.8% 59594
Shallow_v4 153 118 56.5% 170501
Arasan_23.1 70 54 56.5% 88064
Drofa_3.0.0 341 265 56.3% 312864
Minic_3.14 131 103 56.0% 126521
SlowChess_2.6 325 257 55.8% 413230
Weiss_2.0 212 171 55.4% 197608
Berserk_5 143 116 55.2% 141343
Minic_3.07 103 84 55.1% 96941
Arasan_16.0 112 92 54.9% 93882
Zahak_7.0 101 83 54.9% 97157
Marvin_5.1 337 282 54.4% 394164
Minic_3.04 63 53 54.3% 55396
Minic_3.08 135 116 53.8% 129083
Zahak_3.0 89 77 53.6% 80957
Marvin_2.0 60 52 53.6% 53571
Stockfish_5 207 186 52.7% 182244
Wasp_1.02 120 108 52.6% 106842
Monolith_0.4 111 100 52.6% 85222
SlowChess_2.5 228 206 52.5% 268976
Foxsee_7.20.1 187 170 52.4% 157666
Jumbo_0.6.10 176 160 52.4% 149809
ProDeo_3.1 188 172 52.2% 162411
Monolith_0.3 207 190 52.1% 175193
Wasp_5.00 92 86 51.7% 83213
Zahak_5.0 243 228 51.6% 184700
Komodo_1.0 169 159 51.5% 147359
Galjoen_0.41.1 133 126 51.4% 106297
Orion_07 194 190 50.5% 142468
Berserk_4.0.0 104 102 50.5% 94407
Stash_30.0 171 168 50.4% 137707
k2_099 207 208 49.9% 153130
Stash_31.0 325 327 49.8% 262691
Seer_1.2.1 78 79 49.7% 75515
BitGenie_8 164 168 49.4% 121024
Berserk_4.4.0 77 79 49.4% 67128
Berserk_4.1.0 170 175 49.3% 136985
Toga_III-03.12 128 132 49.2% 108307
Cheng_4.40 221 229 49.1% 177782
Cheese_2.2 305 317 49.0% 249590
Stockfish_7 76 79 49.0% 71587
SlowChess_2.4 82 90 47.7% 95825
Pedone_3.1 376 414 47.6% 363625
Colossus_2021b 99 110 47.4% 77684
Beef_0.3.6 208 232 47.3% 153163
Drofa_3.1.0 126 143 46.8% 89933
Berserk_4.2.0 194 227 46.1% 146076
MinimalChess_06 76 89 46.1% 56654
Knightx_2.8 89 107 45.4% 69020
Wasp_4.50 357 436 45.0% 283168
Minic_3.06 109 134 44.9% 82983
FabChess_1.16 280 346 44.7% 195910
h6 193 242 44.4% 143751
Zahak_6.0 138 174 44.2% 90673
Stockfish_8 93 118 44.1% 69639
Stash_32.0 59 75 44.0% 41828
Koivisto_7.5 125 159 44.0% 116637
Koivisto_6.0-sse2 205 264 43.7% 166535
Stash_29.0 90 116 43.7% 56359
Halogen_10 430 560 43.4% 307949
Nalwald_1.8.1 76 99 43.4% 52114
Rodent_4.022 97 127 43.3% 68852
Weiss_1.4 235 310 43.1% 174633
Asymptote_0.8 190 252 43.0% 121651
Berserk_4.5.0 101 134 43.0% 76931
Vajolet2_2.8 48 64 42.9% 36857
BitGenie_7 146 195 42.8% 100187
Clover_2.3.1 215 288 42.7% 132077
Clover_2.4 229 308 42.6% 153946
Fruit_2.1 213 287 42.6% 141005
Supernova_2.3 183 248 42.5% 121858
Berserk_6 96 132 42.1% 74105
Orion_05 88 121 42.1% 52210
Combusken_1.4.0 167 231 42.0% 106997
BitGenie_5.h64 60 83 42.0% 37342
Velvet_1.2.0 155 217 41.7% 93750
Komodo_14 154 218 41.4% 125849
Berserk_4.3.0 153 217 41.4% 112475
Colossus_2021a 78 111 41.3% 50761
Monolith_2 70 102 40.7% 45174
Nalwald_1.11 195 286 40.5% 111081
Jumbo_0.5.3 114 173 39.7% 65540
ProDeo_2.2 100 152 39.7% 59523
Jumbo_0.7.0 56 86 39.4% 36281
Koivisto_7.9 121 186 39.4% 93804
Counter_4.0 80 123 39.4% 48472
Clover_2.2 77 119 39.3% 47535
Supernova_2.4 100 155 39.2% 61960
Marvin_5.0 200 312 39.1% 163671
Counter_3.9 61 96 38.9% 36910
Koivisto_7.0 141 223 38.7% 105749
Orion_04 121 194 38.4% 66069
RubiChess_2.2 303 488 38.3% 234049
MadChess_3.0 56 91 38.1% 38476
Zahak_8.0 145 241 37.6% 89404
Mr.Bob_1.0.0 221 368 37.5% 1260714
Koivisto_7.2 106 184 36.6% 72372
CT800_1.43 82 143 36.4% 39724
SlowChess_2.7 180 315 36.4% 116363
Nalwald_1.14 115 202 36.3% 63485
Minic_3.09 101 180 35.9% 57508
Stockfish_6 77 140 35.5% 47903
Amoeba_3.3 222 404 35.5% 114191
Komodo_11 120 220 35.3% 67764
Demolito_2021-09-30 90 172 34.4% 50839
Berserk_7 94 181 34.2% 62894
Koivisto_6.23 115 228 33.5% 78119
Tucano_9.0 155 312 33.2% 74678
Pirarucu_3.5.5 43 88 32.8% 22648
Komodo_10 125 280 30.9% 62962
Ethereal_12.00 110 248 30.7% 54385
Arasan_14.1 17 39 30.4% 8803
Foxsee_7.8 68 158 30.1% 34300
Ethereal_13.25-NNUE 238 558 29.9% 113917
Arasan_13.0 17 41 29.3% 9965
Ethereal_12.50 46 113 28.9% 18805
ProDeo_3.0 52 134 28.0% 19849
Olithink_5.9.3 64 167 27.7% 23549
Nemorino_6.00 178 472 27.4% 78319
Counter_3.8 118 319 27.0% 45903
Igel_3.0.5 212 574 27.0% 92244
Nemo_1.01 202 559 26.5% 82817
Booot_6.5 223 618 26.5% 97579
Ethereal_13-NNUE 140 389 26.5% 64045
RubiChess_2.1 165 476 25.7% 66411
Koivisto_6.16 111 325 25.5% 56518
Minic_3.04x 79 235 25.2% 29939
Topple_0.8.0 150 449 25.0% 53589
Olithink_5.9.5 39 119 24.7% 15303
Ethereal_12.75 136 456 23.0% 54216
Olithink_5.9.9 56 190 22.8% 17528
Orion_03 53 185 22.3% 19819
Olithink_5.9.8 91 329 21.7% 305498
Counter_3.7 80 298 21.2% 23068
Koivisto_4.0 36 136 20.9% 12558
CT800_1.42 112 431 20.6% 30320
rofChade_2.3 206 849 19.5% 66779
Igel_3.0.0 17 92 15.6% 5302
Arasan_22.2 20 109 15.5% 48061
Ethereal_12.25 24 160 13.0% 4826
BitGenie_5 23 159 12.6% 4675
RubiChess_2.0 12 125 8.8% 157675

Posts : 74 Join date : 2020-11-27

All-time Top10 EAS-Ratinglist

This ratinglist contains the 10 engines / engine-versions (later and stronger versions of engines often play less aggressive!) with the highest EAS-score out of my full ratinglist (all tested engines since 2020, except Stockfish Dev-versions). If the same engine would be part of this Top10 list with different versions, the engine-version with the highest EAS-Score is chosen. The full EAS-Ratinglist can be found below the SPCC full-ratinglist - just click here and scroll down...The Elo-numbers were taken from the SPCC full-ratinglist at the time, this Top10 list was updated...

Latest update: 2023/06/12: Fire 9 (strongest engine (3508 SPCC-Elo) in this All-time Top10 EAS-Ratinglist)

bad avg.win
Rank EAS-Score sacs shorts draws moves Engine/player SPCC-Elo
----------------------------------------------------------------------------
1 282189 35.59% 42.40% 14.89% 64 Velvet 4.1.0 avx2 3370
2 264513 37.91% 36.98% 08.62% 68 Komodo 14.1 aggress. 3334
3 261076 36.44% 35.46% 12.71% 68 Revenge 1.0 avx2 3477
4 241188 24.57% 30.02% 22.45% 70 Pedone 3 avx2 3344
5 228109 34.52% 33.42% 13.57% 68 Uralochka 3.37c avx2 3468
6 223392 29.38% 36.61% 15.97% 66 Arasan 23.0.1 avx2 3342
7 218065 30.02% 34.50% 13.40% 69 Rebel 14.1 avx2 3236
8 217232 30.40% 31.71% 14.86% 70 Danasah 9.0 avx2 3223
9 182759 28.06% 21.71% 16.00% 73 Fire 9 avx2 3508
10 182309 30.06% 23.83% 15.64% 72 Slow Chess 2.5 avx2 3434
****************************************************************************
*** Average length of all won games in the full ratinglist-base: 76 moves

The above is the all time top engines list based on EAS criteria.
https://www.sp-cc.de/eas-ratinglist.htm

Subject: Re: Addition to Stefan Pohl EAS rating list Tue Jun 20, 2023 8:23 am

EAS is a great tool, but don't let the list fool you, it only works with engines within a reasonable close elo pool. Velvet 4.1.0 gets a very nice EAS score against Rebel 15 but against Rebel 16.2 it gets no score at all because Velvet 4.1.0 never reaches the required minimum of 50 won games.

In theory adding games of 2800-3000 elo pool of engines could produce a total different list, actually it's what the (above) output of the gambit-rating-list is telling you.

Besides making our engines stronger we also are keen on playing style and the EAS tool is useful for that purpose but it only makes sense using top-10 engines.

Posts : 104 Join date : 2022-03-01 Location : Berlin

Admin wrote:: EAS is a great tool, but don't let the list fool you, it only works with engines within a reasonable close elo pool.

And that is exactly what I am doing. In my SPCC-Ratinglist, the engines are tested versus other engines in the range of the estimated Elo-strength of the new engine, which is tested. And the games of the SPCC Ratinglist are used by the EAS-Tool for the EAS-Ratinglist. And for the Full EAS-Ratinglist, too (from there, the All-time Top10 EAS-Ratinglist is built). So, the EAS-Ratinglist does not fool anybody.

Subject: Re: Addition to Stefan Pohl EAS rating list Tue Jun 20, 2023 10:27 am

pohl4711 wrote:

Admin wrote:: EAS is a great tool, but don't let the list fool you, it only works with engines within a reasonable close elo pool.

And that is exactly what I am doing. In my SPCC-Ratinglist, the engines are tested versus other engines in the range of the estimated Elo-strength of the new engine, which is tested. And the games of the SPCC Ratinglist are used by the EAS-Tool for the EAS-Ratinglist. And for the Full EAS-Ratinglist, too (from there, the All-time Top10 EAS-Ratinglist is built). So, the EAS-Ratinglist does not fool anybody.

Then add the violet text (or something like that) to your website as currently folks might draw conclusions such as that Velvet, Arasan etc. play more aggressive than Stockfish.

Posts : 1254 Join date : 2020-11-17 Location : France

pohl4711 wrote:

Admin wrote:: EAS is a great tool, but don't let the list fool you, it only works with engines within a reasonable close elo pool.

And that is exactly what I am doing. In my SPCC-Ratinglist, the engines are tested versus other engines in the range of the estimated Elo-strength of the new engine, which is tested. And the games of the SPCC Ratinglist are used by the EAS-Tool for the EAS-Ratinglist. And for the Full EAS-Ratinglist, too (from there, the All-time Top10 EAS-Ratinglist is built). So, the EAS-Ratinglist does not fool anybody.

Understood. I think, though, that what doesn't make sense is to have all engines in the same list, weak and strong, as if the EAS values compare.

For example:

16 241775 05.00% 63.75% 27.00% 46 Sargon 1978 1.00 UCI

Sargon comes in at 16th place out of 1011 engines. But Sargon is not "aggressive, it's not anything, it's just a very primitive fixed look-ahead bean counter, 1980 technology, simplest of eval functions.

All those high scoring EAS engines with low Elo, simply cannot be compared to high Elo developed engines, on the same scale. I think what would be best (for understanding and ranking) would be to place engines by Elo in separate divisions and then compare within the division.

There also seems to be quite a difference depending on NNUE or not.

Posts : 104 Join date : 2022-03-01 Location : Berlin

Admin wrote:

pohl4711 wrote:

Admin wrote:: EAS is a great tool, but don't let the list fool you, it only works with engines within a reasonable close elo pool.

And that is exactly what I am doing. In my SPCC-Ratinglist, the engines are tested versus other engines in the range of the estimated Elo-strength of the new engine, which is tested. And the games of the SPCC Ratinglist are used by the EAS-Tool for the EAS-Ratinglist. And for the Full EAS-Ratinglist, too (from there, the All-time Top10 EAS-Ratinglist is built). So, the EAS-Ratinglist does not fool anybody.

Then add the violet text (or something like that) to your website as currently folks might draw conclusions such as that Velvet, Arasan etc. play more aggressive than Stockfish.

Of course, Velvet 4.1 plays much more aggressive than Stockfish (and Velvet 5.2 still just a little bit).

Subject: Re: Addition to Stefan Pohl EAS rating list Tue Jun 20, 2023 12:22 pm

pohl4711 wrote:

Admin wrote:

pohl4711 wrote:

Admin wrote:: EAS is a great tool, but don't let the list fool you, it only works with engines within a reasonable close elo pool.

And that is exactly what I am doing. In my SPCC-Ratinglist, the engines are tested versus other engines in the range of the estimated Elo-strength of the new engine, which is tested. And the games of the SPCC Ratinglist are used by the EAS-Tool for the EAS-Ratinglist. And for the Full EAS-Ratinglist, too (from there, the All-time Top10 EAS-Ratinglist is built). So, the EAS-Ratinglist does not fool anybody.

Then add the violet text (or something like that) to your website as currently folks might draw conclusions such as that Velvet, Arasan etc. play more aggressive than Stockfish.

Of course, Velvet 4.1 plays much more aggressive than Stockfish (and Velvet 5.2 still just a little bit).

Not not against Stockfish and that's the assumption your current website gives.

Subject: Re: Addition to Stefan Pohl EAS rating list Tue Jun 20, 2023 3:28 pm

Here is an idea for your nice tool, split the pgn database into 3-4 elo pools / divisions.

Subject: Re: Addition to Stefan Pohl EAS rating list Sun Jul 02, 2023 11:38 am

Made an EAS list from the 40/15 CCRL games, elo pool 3400+

Code:: *****************************************************************************
*** Engine Aggressiveness Tool V5.21 Score points Ratinglist
*****************************************************************************
*** Meanwhile, the scoring-system of the EAS-Tool got really complex, so
*** please check out the ReadMe-file, where you find the explanation...
*****************************************************************************
*** Evaluated file: ccrl-3400-9999.pgn
*****************************************************************************
   bad avg.win
Rank EAS-Score sacs shorts draws moves Engine/player
-------------------------------------------------------------------
   8 170094 27.69% 21.54% 17.63% 59 ShashChess 15.0 64-bit 4CPU
  10 161572 25.13% 28.27% 14.75% 55 Dragon by Komodo 3.1 64-bit 4CPU
  11 157791 34.71% 21.18% 14.76% 57 Dragon by Komodo 2.6 64-bit
  12 157716 35.83% 20.83% 14.90% 57 Dragon by Komodo 2.6 64-bit 4CPU
  14 152484 19.74% 33.55% 15.48% 55 SlowChess Blitz 2.9 64-bit
  15 152391 26.04% 32.29% 16.35% 56 SlowChess Blitz 2.9 64-bit 4CPU
  19 147008 28.48% 19.74% 17.98% 58 Stockfish 15.1 64-bit 4CPU
  20 146985 26.95% 26.95% 16.44% 56 Dragon by Komodo 3.1 64-bit
  21 146623 25.45% 32.73% 18.50% 53 RubiChess 20221120 64-bit 4CPU
  23 144384 26.80% 27.84% 14.71% 55 Dragon by Komodo 2.5 64-bit 4CPU
  24 144118 23.98% 25.00% 16.78% 56 Stockfish 20230507 64-bit 4CPU
  25 144035 27.36% 28.30% 14.61% 55 Dragon by Komodo 2.5 64-bit
  26 141431 19.53% 28.91% 16.47% 58 Revenge 3.0 64-bit 4CPU
  27 139499 24.10% 29.23% 17.39% 57 Revenge 3.0 64-bit
  28 138913 26.46% 26.85% 18.08% 58 Stockfish 15 64-bit 4CPU
  29 138839 27.59% 28.16% 15.60% 57 SugaR AI 2.50 64-bit 4CPU
  30 136115 26.71% 25.15% 17.86% 58 Stockfish 15 64-bit
  31 133847 25.49% 24.51% 19.44% 60 ShashChess 15.0 64-bit
  32 132253 25.00% 30.77% 19.64% 54 RubiChess 20221120 64-bit
  35 128669 25.00% 20.00% 15.49% 64 Stockfish 2021-01-11 64-bit 4CPU
  36 127952 28.48% 26.58% 17.56% 58 Stockfish 14.1 64-bit 4CPU
  38 126980 22.40% 28.42% 19.97% 58 Dragon by Komodo 3 64-bit 4CPU
  40 124738 18.63% 30.39% 22.97% 57 Ethereal 13.75 64-bit 4CPU
  42 123740 23.21% 28.67% 18.91% 57 Dragon by Komodo 3 64-bit
  43 123413 24.49% 27.55% 16.70% 58 SugaR AI 2.50 64-bit
  44 123402 32.26% 24.19% 21.05% 58 ShashChess 26.0 64-bit 4CPU
  45 123099 18.71% 28.06% 22.21% 57 Ethereal 13.75 64-bit
  46 122278 28.74% 33.33% 19.39% 54 RubiChess 20230410 64-bit 4CPU
  47 120918 24.17% 16.67% 16.69% 63 Ethereal 14.00 64-bit 4CPU
  48 120434 31.54% 16.92% 15.57% 63 Stockfish 060122 64-bit
  49 119919 31.52% 01.21% 15.61% 77 Stockfish 20230613 64-bit 4CPU
  50 119251 26.84% 16.79% 18.47% 62 Stockfish 15.1 64-bit
  51 119221 23.62% 33.07% 19.00% 55 RubiChess 20230410 64-bit
  52 118854 23.05% 22.03% 17.92% 57 Dragon by Komodo 3.2 64-bit 4CPU
  55 117406 21.92% 19.18% 20.15% 61 Koivisto 9.0 64-bit 4CPU
  56 116800 15.31% 20.41% 17.96% 63 Berserk 10 64-bit 4CPU
  57 116722 22.93% 22.44% 15.54% 59 Stockfish 14 64-bit 4CPU
  58 114698 31.94% 26.39% 20.37% 58 Stockfish 13 64-bit 4CPU
  59 114160 27.09% 18.72% 19.50% 57 ShashChess GZ 64-bit 4CPU
  60 113570 27.83% 23.48% 21.42% 58 ShashChess 26.0 64-bit
  61 111477 25.64% 23.08% 18.54% 59 ShashChess 22 64-bit
  62 111240 22.97% 22.07% 15.90% 60 Stockfish 14 64-bit
  63 110107 25.00% 21.67% 18.03% 63 SlowChess Blitz 2.8 64-bit 4CPU
  64 108981 18.97% 27.59% 26.20% 62 Rebel 16.2 64-bit 4CPU
  65 108897 31.40% 23.26% 20.99% 58 Stockfish 13 64-bit
  67 108136 26.87% 22.47% 20.53% 59 Stockfish 14.1 64-bit
  68 107361 21.31% 20.22% 18.65% 63 Ethereal 14.00 64-bit
  70 107255 20.79% 18.81% 17.24% 65 Stockfish 2021-01-11 64-bit
  71 107022 26.43% 22.49% 19.25% 58 Dragon by Komodo 3.2 64-bit
  72 106018 07.55% 18.87% 11.90% 58 Dragon by Komodo 2 64-bit
  73 105963 15.29% 29.41% 25.65% 60 Rebel 16.2 64-bit
  74 104585 24.36% 15.76% 20.35% 58 ShashChess GZ 64-bit
  75 103805 13.38% 21.83% 19.44% 62 Berserk 10 64-bit
  76 102554 15.91% 22.73% 21.10% 60 Koivisto 9.0 64-bit
  77 102159 22.99% 10.34% 13.00% 63 ShashChess 19.3 64-bit 4CPU
  79 98441 19.53% 10.16% 13.56% 62 ShashChess 21.1 64-bit 4CPU
  80 97400 19.66% 22.79% 20.01% 60 Fat Fritz 2 64-bit 4CPU
  83 94769 19.14% 22.51% 21.29% 59 Fat Fritz 2 64-bit
  84 94592 12.63% 25.26% 20.56% 58 RofChade 3.0 64-bit 4CPU
  85 92920 21.13% 09.79% 14.46% 63 ShashChess 21.1 64-bit
  86 90268 12.71% 15.25% 22.81% 65 Berserk 9 64-bit
  87 90173 08.00% 16.00% 23.41% 65 Berserk 9 64-bit 4CPU
  88 88169 08.00% 18.00% 15.08% 58 Dragon by Komodo 2 64-bit 4CPU
  89 86505 23.40% 09.57% 15.73% 64 ShashChess 19.3 64-bit
  92 82562 22.58% 20.97% 16.91% 62 SugaR AI 1.00 64-bit
  94 81119 26.09% 10.14% 18.39% 65 ShashChess 20.2 64-bit
102 74554 23.23% 17.17% 22.59% 62 Igel 3.4.0 64-bit
107 68288 20.00% 18.57% 21.24% 63 Igel 3.4.0 64-bit 4CPU
108 67101 12.37% 17.53% 22.26% 66 Koivisto 8.0 64-bit 4CPU
111 64176 14.38% 15.07% 21.94% 67 Koivisto 8.0 64-bit
112 64129 15.91% 10.61% 25.77% 62 Seer 2.6.0 64-bit
115 59803 18.46% 13.85% 23.80% 65 Ethereal 13.50 64-bit
117 59437 14.54% 08.81% 23.77% 65 Berserk 11.1 64-bit
118 58900 13.64% 16.67% 22.22% 65 Stockfish 12 64-bit
119 57153 15.46% 09.28% 27.18% 61 Seer 2.6.0 64-bit 4CPU
120 54912 17.31% 15.38% 24.38% 66 Ethereal 13.50 64-bit 4CPU
125 49601 12.20% 07.32% 23.00% 64 Berserk 11.1 64-bit 4CPU

-------------------------------------------------------------------
*** Average length of all won games: 60 moves
*** Engine gets bonuspoints, if its avg. won games length is shorter
*** Engine gets maluspoints, if its avg. won games length is longer

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