| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| LZ60_d9a5ed48 | 1398 | 119 |
| LZ59_7fde81e8 | 1294 | 3164 |
| 1e2b85cf | 1287 | 504 |
| 8d9c5e80 | 1285 | 540 |
| 00335835 | 1273 | 514 |
| LZ58_ed002cf3 | 1266 | 928 |
| 9b5fa5c | 1263 (±150) | 9 |
| 5b48caa1 | 1237 | 1020 |
| 57481001 | 1228 | 1008 |
| 46263a4 | 1228 (±176) | 4 |
| 0d7766a4 | 1215 | 433 |
| 3ed9b939 | 1214 | 132 |
| LZ57_c83e1b6e | 1207 | 6290 |
| 93229e15 | 1204 | 998 |
| a690c4fb | 1193 | 115 |
| 92383700 | 1186 | 390 |
| e2b61680 | 1182 | 366 |
| LZ56_35df1f93 | 1176 | 2546 |
| ab9824d7 | 1173 | 73 |
| 2c14d8f | 1173 (±95) | 16 |
| e8662da0 | 1171 | 345 |
| 5903f263 | 1171 | 418 |
| LZ202_ffe8ba44 | 1170 | 3278 |
| 6df7f6df | 1168 | 340 |
| b11f3be3 | 1168 | 409 |
| 412b475 | 1166 (±132) | 17 |
| 1629cbfd | 1163 | 510 |
| 47f71f8c | 1163 | 98 |
| 3e08f23 | 1162 | 26 |
| a4f0b83c | 1162 | 400 |
| 4f853ba0 | 1161 | 405 |
| 855743f4 | 1161 | 347 |
| 635f8b89 | 1160 | 421 |
| 1be3662e | 1159 | 214 |
| c3ed2789 | 1159 | 377 |
| 0412b475 | 1157 | 112 |
| 2f3a8194 | 1156 | 420 |
| 7aceb279 | 1156 | 376 |
| cf5186a3 | 1156 | 407 |
| 8c513c7e | 1156 | 407 |
| c5fe980c | 1156 | 330 |
| 87faf53b | 1156 | 419 |
| 2e7cbba3 | 1155 | 399 |
| 14c769ea | 1154 | 423 |
| LZ200_50b98433 | 1153 | 3032 |
| 4871b3db | 1153 | 268 |
| aee32b4a | 1153 | 428 |
| 1fd552a2 | 1152 | 264 |
| ea1126c3 | 1150 | 403 |
| e3a57b7a | 1149 | 414 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| a9201cc9 | 1148 | 335 |
| 4ac9e052 | 1148 | 334 |
| 9e8feb21 | 1147 | 368 |
| 9c645d0c | 1146 | 401 |
| 551c1cb4 | 1146 | 305 |
| c414bad1 | 1146 | 417 |
| adb1d662 | 1145 | 404 |
| 661f87e2 | 1145 | 406 |
| LZ201_cacf4cbf | 1144 | 8285 |
| LZ55_0db82470 | 1143 | 4649 |
| 0dc4fb27 | 1143 | 374 |
| 5b2b40ea | 1143 | 170 |
| 9330d088 | 1141 | 361 |
| cf5b1f4e | 1140 | 369 |
| 0b203fd1 | 1140 | 360 |
| f3ac2d63 | 1140 | 366 |
| 3c938757 | 1139 | 335 |
| ae492135 | 1139 | 686 |
| c1fd3d30 | 1139 | 365 |
| 28feb6fc | 1139 | 195 |
| e8f1fc14 | 1138 | 375 |
| d6cf4dc5 | 1138 | 381 |
| 6523dba0 | 1138 | 358 |
| eb8168ad | 1138 | 313 |
| LZ6_a1151640 | 1137 | 162 |
| 58ed117 | 1137 | 42 |
| LZ195_8b28fe3c | 1137 | 6951 |
| 6349c915 | 1137 | 312 |
| 60d57fbf | 1136 | 352 |
| 48eaf984 | 1136 | 134 |
| d77eb4f9 | 1136 | 516 |
| 2c9dce6b | 1136 | 214 |
| 805833fd | 1135 | 351 |
| 0e4a5332 | 1135 | 412 |
| 785b4783 | 1135 | 322 |
| 74da9ea0 | 1134 | 334 |
| ec755c58 | 1134 | 296 |
| 8b41522 | 1134 (±87) | 20 |
| 6615567e | 1133 | 518 |
| c49a7e76 | 1133 | 369 |
| 3d6ef20f | 1133 | 328 |
| 52ab04bd | 1133 | 367 |
| b0309d2e | 1132 | 154 |
| 98340cf8 | 1132 | 329 |
| d3769dd4 | 1131 | 121 |
| LZ199_82a3e250 | 1131 | 5256 |
| 5b254cbb | 1131 | 363 |
| LZ198_87cb7bb4 | 1131 | 3537 |
| 27aa3ef3 | 1131 | 299 |
| 50706494 | 1130 | 324 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| a29f585b | 1130 | 119 |
| bfdd79d8 | 1130 | 366 |
| 0867c3c5 | 1129 | 368 |
| 33abe9a6 | 1129 | 331 |
| c2eff68d | 1129 | 339 |
| LZ193_9d4ac610 | 1129 | 9374 |
| 674e5f17 | 1129 | 349 |
| f0583aee | 1128 | 326 |
| b2ac36cb | 1128 | 280 |
| 8c1a0d3e | 1128 | 416 |
| a4448039 | 1128 | 272 |
| e44bbbad | 1128 | 120 |
| 9cb1f7e9 | 1127 | 351 |
| LZ196_939ebbcc | 1127 | 10496 |
| eaa63263 | 1127 | 271 |
| d71b2b2d | 1127 | 279 |
| 77a2591a | 1127 | 313 |
| 7b49a2d2 | 1127 | 306 |
| 95f49814 | 1126 | 316 |
| b4d3f9a0 | 1126 | 388 |
| 5e67a786 | 1125 | 195 |
| 17980be6 | 1125 | 327 |
| f34a10dd | 1125 | 341 |
| 48e2ccc8 | 1125 | 303 |
| a3af0051 | 1124 | 330 |
| 7d1d56e4 | 1124 | 401 |
| f305ee4d | 1124 | 306 |
| 4b26eac0 | 1124 | 324 |
| ef44769e | 1124 | 300 |
| d3b7a72e | 1124 | 300 |
| LZ197_56becd72 | 1123 | 2335 |
| 789920cf | 1122 | 278 |
| ab3c6a06 | 1122 | 400 |
| e645bfb5 | 1122 | 295 |
| e7be6083 | 1122 | 300 |
| d9186896 | 1122 | 283 |
| 460f6df5 | 1122 | 371 |
| 298e7f76 | 1121 | 309 |
| 3304bf31 | 1121 | 337 |
| 4a17df51 | 1121 | 321 |
| LZ194_8ef6a924 | 1121 | 4198 |
| 315e9450 | 1121 | 402 |
| b5e6ee34 | 1120 | 311 |
| 03788568 | 1119 | 407 |
| 223b58bd | 1119 | 284 |
| 564521f9 | 1118 | 332 |
| 8ea66fd0 | 1118 | 320 |
| LZ54_46ff4b94 | 1117 | 5570 |
| 2d05baee | 1117 | 291 |
| 8bf8ef5d | 1117 | 367 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| d4b180e7 | 1117 | 315 |
| b8399018 | 1116 | 416 |
| 807f0bb1 | 1116 | 282 |
| 7aeec437 | 1116 | 282 |
| d18256a8 | 1116 | 267 |
| 8499fa00 | 1116 | 263 |
| 98da8e37 | 1115 | 250 |
| d3399241 | 1115 | 316 |
| af6ce06b | 1115 | 341 |
| 0ee19d8a | 1115 | 393 |
| 83233b1d | 1115 | 302 |
| 80a711c8 | 1115 | 323 |
| c923718a | 1114 | 99 |
| LZ10_ad8a1d02 | 1114 | 78 |
| d3bd458d | 1113 | 305 |
| 0c56e46e | 1113 | 414 |
| 00e51f5 | 1113 (±87) | 17 |
| ebd868dc | 1113 | 270 |
| 7869071d | 1112 | 293 |
| 29964bfc | 1112 | 243 |
| b876e868 | 1112 | 390 |
| babea2fb | 1112 | 222 |
| 33825a4 | 1111 (±166) | 4 |
| 6b0ae32e | 1111 | 409 |
| LZ188_febf1d9c | 1111 | 2903 |
| LZ192_b8fb3a4a | 1110 | 2525 |
| e14fcf9b | 1110 | 258 |
| 6e60ec1d | 1110 | 282 |
| fb04ec02 | 1110 | 381 |
| 1b89db53 | 1110 | 247 |
| c3ca04d7 | 1110 | 120 |
| d2ab375a | 1110 | 271 |
| cde7e7d | 1109 (±128) | 8 |
| a57afa00 | 1109 | 258 |
| e7f6a2f6 | 1109 | 247 |
| 8f20ea6a | 1108 | 402 |
| a165a992 | 1108 | 250 |
| 6632cbc2 | 1108 | 248 |
| LZ187_6c7c1c83 | 1107 | 2875 |
| 68d7472f | 1106 | 290 |
| 57327422 | 1105 | 361 |
| fcf3c16 | 1105 | 206 |
| 46847305 | 1105 | 246 |
| 415258f0 | 1105 | 410 |
| 5a01744f | 1104 | 352 |
| 6347a12 | 1103 | 72 |
| 8e04d0f1 | 1103 | 256 |
| cebcc033 | 1103 | 268 |
| 78995c79 | 1103 | 199 |
| a28b0157 | 1101 | 331 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 30bccf1d | 1101 | 427 |
| f9fc1420 | 1101 | 186 |
| 62eb7d77 | 1101 | 253 |
| b0729bbd | 1101 | 403 |
| 5ce24425 | 1100 | 236 |
| LZ3_4d9a5cfc | 1100 | 242 |
| 543c3cbf | 1100 | 327 |
| 370a814f | 1099 | 333 |
| 5c650ef2 | 1098 | 332 |
| 86e34a6 | 1098 (±137) | 6 |
| 4326472 | 1098 (±137) | 6 |
| 3dcb074c | 1098 | 334 |
| 2c658d7 | 1098 | 197 |
| 0448640a | 1098 | 334 |
| 0a1f88c3 | 1098 | 200 |
| LZ189_efa2fefd | 1097 | 8344 |
| LZ191_53f805d1 | 1097 | 6134 |
| LZ190_ef09cd53 | 1097 | 2070 |
| 53a18293 | 1097 | 258 |
| 43a6afa0 | 1097 | 261 |
| a457b909 | 1096 | 304 |
| d32ffe8f | 1096 | 255 |
| fc5ea1f5 | 1096 | 260 |
| 1ff88c21 | 1096 | 283 |
| 46185107 | 1095 | 303 |
| fc9510d6 | 1095 | 421 |
| 68e91134 | 1095 | 278 |
| 5c3c4bd9 | 1095 | 222 |
| 122ec3be | 1095 | 200 |
| fb6afa5c | 1094 | 348 |
| 65f71281 | 1094 | 257 |
| 1415b1e2 | 1094 | 191 |
| c676c05b | 1094 | 57 |
| e6b7a922 | 1093 | 231 |
| 1444e83b | 1093 | 283 |
| fb587712 | 1093 | 53 |
| 9cc225cf | 1092 | 316 |
| f73a0240 | 1092 | 211 |
| 424b958f | 1090 | 291 |
| 4700da23 | 1090 | 379 |
| f6c52c10 | 1090 | 379 |
| e2c96b8b | 1090 | 75 |
| 2617bbf3 | 1089 | 312 |
| 4335fe0e | 1089 | 476 |
| e03daba2 | 1089 | 282 |
| 05410a4 | 1089 (±84) | 18 |
| 0722856c | 1089 | 327 |
| 04ccdff7 | 1089 | 327 |
| adf8842b | 1089 | 205 |
| 7448de71 | 1089 | 282 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 2c75ace | 1089 | 23 |
| 76c0dcfa | 1089 | 278 |
| c7b8156a | 1088 | 256 |
| 701bb9f | 1088 (±128) | 9 |
| c065fc76 | 1088 | 183 |
| b38738aa | 1088 | 424 |
| eda5d796 | 1088 | 324 |
| 9ca0cec8 | 1087 | 265 |
| 73f2152f | 1087 | 333 |
| 036118db | 1087 | 239 |
| 866c59ed | 1087 | 187 |
| 180a6045 | 1087 | 86 |
| 9b56870 | 1087 (±132) | 7 |
| d14dadb3 | 1087 | 259 |
| f2eef141 | 1086 | 255 |
| f463e175 | 1086 | 328 |
| 30a682ef | 1085 | 271 |
| 80e25961 | 1085 | 159 |
| e82b8f4f | 1085 | 273 |
| 26d97627 | 1084 | 363 |
| a16004e2 | 1084 | 81 |
| LZ4_857b975e | 1084 | 117 |
| 1d8bc029 | 1083 | 266 |
| fc187c5e | 1083 | 310 |
| b0db52bd | 1083 | 139 |
| 03c068c5 | 1083 | 197 |
| 8af17761 | 1083 | 342 |
| LZ53_ffc1e51b | 1083 | 6655 |
| 093a9f61 | 1082 | 277 |
| d9a5cfc | 1082 | 119 |
| 1a4fc8d8 | 1082 | 167 |
| ecf05cc5 | 1081 | 127 |
| 6014af25 | 1081 | 163 |
| 1647e0b1 | 1081 | 285 |
| e05c0bfd | 1080 | 156 |
| 143437d9 | 1080 | 164 |
| 3015869 | 1080 | 96 |
| ea89697a | 1079 | 208 |
| b3bc1e39 | 1079 | 414 |
| LZ117_ba748d40 | 1079 | 3176 |
| e97983bd | 1079 | 148 |
| 0af8361a | 1079 | 190 |
| b762381b | 1079 | 231 |
| ed677eae | 1079 | 92 |
| 6516fc5d | 1078 | 216 |
| 96171c5 | 1078 | 94 |
| 140dc2e | 1078 | 289 |
| a3047139 | 1078 | 1155 |
| 68c8b925 | 1078 | 268 |
| 583582e2 | 1078 | 366 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| ca9f271c | 1077 | 361 |
| 95c69c1a | 1077 | 363 |
| 4dc12a8e | 1077 | 443 |
| 80b5e3aa | 1077 | 273 |
| 702b68ab | 1076 | 183 |
| 3413e85a | 1076 | 135 |
| 64da9520 | 1076 | 173 |
| b3186b69 | 1074 | 417 |
| 9ef85fb8 | 1073 | 351 |
| 0c869805 | 1073 | 154 |
| LZ186_f50dc27c | 1073 | 2650 |
| c094151 | 1073 | 328 |
| 567f2714 | 1072 | 85 |
| d1f03bc5 | 1072 | 211 |
| 418e67a7 | 1071 | 98 |
| 971d77a5 | 1071 | 233 |
| 2c446bd6 | 1071 | 125 |
| 38291f55 | 1071 | 390 |
| 2104457 | 1071 (±113) | 9 |
| LZ182_68d7c8fc | 1071 | 6013 |
| 290cdf71 | 1070 | 205 |
| e23d52ee | 1070 | 116 |
| LZ183_a53cd929 | 1070 | 2965 |
| 7c038a73 | 1070 | 344 |
| 03ba09a9 | 1070 | 110 |
| 14278aaf | 1069 | 273 |
| c2da4a35 | 1069 | 166 |
| 915cfab1 | 1069 | 339 |
| 385c1208 | 1069 | 345 |
| b9efeafa | 1069 | 83 |
| 3b28df5f | 1068 | 348 |
| e036f2bb | 1067 | 419 |
| 87973d8f | 1067 | 77 |
| 3b593a67 | 1066 | 471 |
| 8abaaaf2 | 1066 | 250 |
| 93abe289 | 1065 | 383 |
| LZ13_1607dbea | 1065 | 255 |
| LZ181_68824bbc | 1065 | 7475 |
| 3b53cbc6 | 1064 | 322 |
| 2c0d4668 | 1064 | 382 |
| 54eaebd | 1064 | 266 |
| 5c6daee5 | 1063 | 153 |
| 95da93c3 | 1063 | 841 |
| a58ac112 | 1063 | 108 |
| 2d67090b | 1063 | 203 |
| bd72848 | 1063 (±126) | 7 |
| 06a04849 | 1063 | 239 |
| b75dafd2 | 1062 | 748 |
| 99b64745 | 1062 | 403 |
| c71ad0d | 1062 (±126) | 7 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| db47cd2 | 1062 (±146) | 5 |
| d13c4099 | 1061 | 5764 |
| 7f95eb51 | 1061 | 145 |
| 3123970b | 1061 | 127 |
| 2b0ac291 | 1060 | 416 |
| 37d38c52 | 1060 | 199 |
| bc0a66b | 1060 (±146) | 5 |
| f77818d | 1060 (±146) | 5 |
| 177eb49 | 1060 (±146) | 5 |
| 86cc2fe8 | 1060 | 324 |
| 67d72a43 | 1060 | 189 |
| 530af2dc | 1060 | 410 |
| 1b7dbaea | 1059 | 274 |
| LZ185_c66266aa | 1059 | 1218 |
| LZ52_65e94e52 | 1059 | 3234 |
| 0ea77f31 | 1059 | 226 |
| 1fdfb1c5 | 1059 | 916 |
| 176bbec1 | 1059 | 414 |
| c8e9aa91 | 1059 | 405 |
| c13aefe5 | 1059 | 317 |
| b4b746ba | 1058 | 218 |
| 66a7fd82 | 1057 | 278 |
| 3ab32149 | 1057 | 90 |
| LZ184_2da87ea8 | 1057 | 8205 |
| 1734cfd6 | 1057 | 371 |
| 8bd01b6a | 1057 | 156 |
| d662ce3 | 1056 (±83) | 18 |
| e0425323 | 1056 | 409 |
| 0d11f1b9 | 1055 | 339 |
| fd669cd2 | 1055 | 119 |
| 83e08f23 | 1055 | 403 |
| fce8f6bd | 1054 | 276 |
| 1425685e | 1054 | 417 |
| LZ39_509e5202 | 1053 | 2168 |
| LZ92_ae205d8b | 1053 | 856 |
| 1dec2172 | 1053 | 267 |
| 06dd90f5 | 1052 | 338 |
| 549a4f3b | 1052 | 280 |
| 6d4ff4ca | 1051 | 258 |
| f1a66682 | 1051 | 386 |
| cf644e2d | 1051 | 323 |
| 1f706cab | 1051 | 256 |
| 460a9476 | 1050 | 175 |
| a2bc703b | 1050 | 334 |
| 6086c192 | 1050 | 265 |
| de563836 | 1050 | 327 |
| 437d438 | 1050 | 98 |
| LZ180_da3d663a | 1049 | 809 |
| 63c0231c | 1049 | 254 |
| a0718847 | 1049 | 178 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 16aadb96 | 1049 | 166 |
| fad40ec2 | 1049 | 148 |
| 66ba9e7a | 1048 | 378 |
| 960fe0e8 | 1047 | 355 |
| 3b4307f6 | 1047 | 480 |
| b56cf7b6 | 1047 | 325 |
| 6487deaa | 1047 | 350 |
| fa913665 | 1047 | 280 |
| 7af2e7d4 | 1046 | 61 |
| bdb0d089 | 1046 | 268 |
| 089ec31e | 1046 | 407 |
| ac1a2dda | 1046 | 379 |
| c62a4dd2 | 1046 | 109 |
| 0123b6b5 | 1045 | 63 |
| 8e89d1e7 | 1045 | 260 |
| 5ecbf715 | 1045 | 397 |
| LZ178_58d1222a | 1045 | 7511 |
| 887b4f82 | 1045 | 384 |
| ed7f74a9 | 1045 | 304 |
| LZ49_76347a12 | 1045 | 2427 |
| 80f0deac | 1045 | 51 |
| 7fe0da2d | 1045 | 294 |
| c9134e34 | 1045 | 252 |
| LZ179_25c2313d | 1044 | 1935 |
| 57bee501 | 1044 | 351 |
| a5a5eaad | 1044 | 119 |
| 9f9827cd | 1043 | 401 |
| 158c107e | 1043 | 662 |
| 5de5cb47 | 1043 | 375 |
| fb0e563c | 1043 | 312 |
| e2be4815 | 1043 | 4641 |
| 65d0d23 | 1043 (±96) | 13 |
| a15c9b9b | 1042 | 296 |
| a3d8ff85 | 1042 | 280 |
| 287132a0 | 1042 | 147 |
| LZ47_83015869 | 1042 | 1636 |
| e89f42f8 | 1042 | 293 |
| 01ecd1bf | 1041 | 384 |
| e879647e | 1041 | 264 |
| a639f567 | 1040 | 234 |
| f489ad34 | 1040 | 420 |
| 29616b9 | 1040 | 39 |
| 9a6309e9 | 1040 | 396 |
| LZ118_02e663b0 | 1040 | 1564 |
| c72877cd | 1040 | 359 |
| b054cd83 | 1040 | 363 |
| 390a3a10 | 1039 | 297 |
| 52e1f02b | 1039 | 380 |
| 09e5202 | 1038 | 156 |
| de7a72c3 | 1038 | 65 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 62b5417b | 1038 | 4519 |
| LZ50_391d850e | 1038 | 2345 |
| 9e8dca30 | 1038 | 366 |
| 0410bba1 | 1038 | 395 |
| b996d993 | 1037 | 225 |
| LZ44_e5e72b39 | 1037 | 958 |
| 9fe0ce3 | 1037 | 270 |
| a2842f3c | 1037 | 221 |
| 00d658b4 | 1037 | 88 |
| f31eef7b | 1036 | 164 |
| 6445128b | 1036 | 123 |
| 15482959 | 1036 | 217 |
| 6e06518d | 1036 | 389 |
| 208c7a8c | 1036 | 111 |
| cb022c5b | 1036 | 62 |
| 0b94cfe | 1036 | 92 |
| e23f81a0 | 1036 | 249 |
| 5e414a0f | 1035 | 315 |
| a956ea00 | 1035 | 268 |
| LZ93_f1383525 | 1035 | 850 |
| LZ177_dec5b9d8 | 1035 | 4199 |
| 77928ce9 | 1035 | 255 |
| 32688fa3 | 1035 | 408 |
| 71ec56be | 1035 | 420 |
| b1754bec | 1035 | 435 |
| LZ86_9ac646d7 | 1035 | 2797 |
| bc4ce37 | 1035 (±84) | 18 |
| 261ea5c1 | 1035 | 238 |
| 5c81864b | 1035 | 269 |
| 91d850e | 1034 | 50 |
| 33a36125 | 1034 | 378 |
| f4c05239 | 1034 | 103 |
| 147ed731 | 1034 | 366 |
| ec8ff7a1 | 1034 | 252 |
| 7f2f18d3 | 1034 | 81 |
| 3b3f7b1b | 1034 | 259 |
| 2c0d16a4 | 1034 | 423 |
| 2c1b9eab | 1034 | 276 |
| f2b08b65 | 1033 | 306 |
| 7262155a | 1033 | 43 |
| 8bf66995 | 1033 | 425 |
| 16d346dd | 1033 | 294 |
| 8fb9ce84 | 1033 | 244 |
| 609d6a65 | 1032 | 48 |
| 73a029d | 1032 | 126 |
| 5b6e5017 | 1032 | 218 |
| 4082cf39 | 1032 | 301 |
| f9a9c55a | 1031 | 235 |
| b868cbf5 | 1031 | 90 |
| c7823b6b | 1031 | 408 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| LZ176_dabff367 | 1031 | 4813 |
| LZ85_8ee49736 | 1031 | 3306 |
| fd2f2b52 | 1031 | 124 |
| 9de6388f | 1031 | 269 |
| 4641588 | 1030 (±103) | 11 |
| 4136aeb5 | 1030 | 391 |
| d3b966d1 | 1030 | 343 |
| 99e274c5 | 1030 | 393 |
| 4185cd07 | 1030 | 351 |
| a7972a26 | 1030 | 215 |
| 25f90fb2 | 1030 | 373 |
| 8836d210 | 1030 | 150 |
| LZ17_5bcb392e | 1030 | 804 |
| 636e4f00 | 1029 | 321 |
| 6c68b86d | 1029 | 268 |
| LZ51_fca07541 | 1029 | 2213 |
| a78f3f34 | 1029 | 250 |
| 3bbe58f1 | 1028 | 375 |
| 8eaa76f8 | 1027 | 244 |
| 919c4c45 | 1027 | 321 |
| 3437d438 | 1027 | 347 |
| b041d5da | 1027 | 348 |
| 2dcfa54f | 1027 | 272 |
| 4353527 | 1027 (±160) | 4 |
| 4d5726b0 | 1027 | 307 |
| LZ38_0c094151 | 1027 | 5377 |
| 3c0409f1 | 1026 | 204 |
| 42c75ace | 1026 | 305 |
| 0f49ac5 | 1026 | 213 |
| 0b7c6fc9 | 1026 | 274 |
| 759a3190 | 1026 | 260 |
| 8c03c3bb | 1026 | 236 |
| LZ174_c9d70c41 | 1026 | 5891 |
| 1dfed21b | 1025 | 101 |
| 74ca7a1b | 1025 | 61 |
| 73b786d6 | 1025 | 235 |
| 4bd56aef | 1025 | 288 |
| LZ87_92dd0397 | 1025 | 1020 |
| 32179366 | 1025 | 564 |
| 61c6d735 | 1025 | 591 |
| 9c8dc27c | 1025 | 343 |
| 045232dc | 1024 | 258 |
| b99c482d | 1024 | 253 |
| LZ48_55bf55dc | 1024 | 3190 |
| 5492575 | 1024 (±85) | 17 |
| LZ175_b0a601d9 | 1023 | 3473 |
| 97deeb9 | 1023 | 120 |
| c1639e8f | 1023 | 328 |
| LZ94_0b4e36d7 | 1023 | 1264 |
| 6b987acc | 1023 | 298 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| f2d6c793 | 1023 | 269 |
| 7063726c | 1023 | 139 |
| e0a8368f | 1023 | 226 |
| dec166b9 | 1022 | 188 |
| 68a8e58e | 1022 | 274 |
| e8465d64 | 1022 | 257 |
| 311e94e7 | 1022 | 58 |
| e06518d | 1022 | 22 |
| fbeb8c85 | 1022 | 93 |
| 07d1f650 | 1021 | 205 |
| 907d01cf | 1021 | 66 |
| LZ40_30004a1d | 1021 | 1688 |
| 08ac5f3 | 1021 | 311 |
| 382a7d3 | 1021 | 477 |
| 93a0ab70 | 1021 | 127 |
| 00abf8de | 1021 | 269 |
| 810d03bf | 1021 | 317 |
| f1a2f5c0 | 1020 | 311 |
| 72ea669d | 1020 | 351 |
| 5c837fc | 1020 | 24 |
| ab40f71a | 1020 | 333 |
| 38c12f4a | 1020 | 374 |
| 27bc4a0e | 1020 | 274 |
| 544b94ba | 1020 | 250 |
| 3d86587c | 1020 | 371 |
| 620f4717 | 1020 | 248 |
| 93ebfef3 | 1019 | 348 |
| 218a97fc | 1019 | 304 |
| af16032c | 1019 | 150 |
| cd8b670c | 1019 | 51 |
| d0bb6ffd | 1018 | 315 |
| 996ff6a8 | 1018 | 113 |
| 229debd7 | 1018 | 216 |
| 345d132 | 1017 (±147) | 5 |
| edf2254a | 1017 | 119 |
| 9a8d4b7e | 1017 | 146 |
| c8164eed | 1017 | 361 |
| LZ26_0eb8b23b | 1017 | 1313 |
| LZ43_7fcf3c16 | 1017 | 2029 |
| LZ29_657f91c7 | 1016 | 1125 |
| LZ84_566f5276 | 1016 | 1295 |
| 4ec990bd | 1016 | 167 |
| 9d66609c | 1016 | 86 |
| 489cfdf3 | 1016 | 47 |
| e14794f0 | 1016 | 227 |
| f66f501d | 1016 | 294 |
| 8f9c367 | 1015 (±147) | 5 |
| 8cf94ba7 | 1015 | 284 |
| LZ95_5b90bd32 | 1015 | 1852 |
| e7decac6 | 1014 | 60 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 000e3330 | 1014 | 258 |
| 58c1869b | 1014 | 300 |
| 0f2f7978 | 1014 (±278) | 19 |
| f5355423 | 1014 | 44 |
| LZ83_af9ce63c | 1014 | 10585 |
| ce38532 | 1014 | 68 |
| 839b71d8 | 1013 | 238 |
| 229616b9 | 1013 | 344 |
| 9936220f | 1013 | 167 |
| b1ed8f69 | 1013 | 247 |
| ac7a1a0 | 1013 (±135) | 6 |
| a5abf68b | 1012 | 315 |
| e75301cd | 1012 | 268 |
| 4466a518 | 1012 | 291 |
| 46974ce9 | 1012 | 203 |
| 8da6176 | 1012 | 272 |
| dce293df | 1012 | 397 |
| 018dea9f | 1012 | 48 |
| 4f35527d | 1012 | 48 |
| 9afd74e1 | 1012 | 397 |
| 0819f7d1 | 1011 | 287 |
| 6b5e9a7b | 1011 | 154 |
| d4a736ee | 1011 | 235 |
| a6d81f1 | 1011 (±135) | 6 |
| LZ35_30f49ac5 | 1011 | 2479 |
| 0097e288 | 1010 | 226 |
| LZ119_5838db67 | 1010 | 2521 |
| 74fa87ca | 1010 | 157 |
| 8e3bd368 | 1010 | 442 |
| 1c58c0d1 | 1009 | 147 |
| LZ41_097deeb9 | 1009 | 1237 |
| f4875791 | 1009 | 74 |
| 7abf3d8e | 1009 | 79 |
| 265c9753 | 1008 | 269 |
| 9cb7834f | 1008 | 428 |
| eb8b23b | 1008 | 811 |
| 599ad9aa | 1008 | 301 |
| d86587c | 1008 | 71 |
| LZ18_4701bb9f | 1007 | 752 |
| 80fbeef4 | 1007 | 422 |
| 6bb93db0 | 1007 | 415 |
| 12b9e856 | 1007 | 163 |
| 87e9288a | 1007 | 431 |
| LZ45_40b94cfe | 1006 | 1351 |
| 087dec7f | 1006 | 378 |
| LZ31_6140dc2e | 1006 | 1275 |
| ffdf2971 | 1006 | 187 |
| cac9054b | 1006 | 280 |
| 2f945ad | 1006 (±160) | 4 |
| LZ1_e6779c9b | 1005 | 306 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 9f97987c | 1005 | 50 |
| LZ96_0255d914 | 1005 | 1167 |
| d7f6a48e | 1005 | 387 |
| f4c37ceb | 1005 | 428 |
| 9234859 | 1005 (±135) | 6 |
| 2ac09acd | 1005 | 145 |
| LZ16_fe7a6c28 | 1004 | 863 |
| 5bf55dc | 1004 | 165 |
| 800e51f5 | 1004 | 290 |
| 35740616 | 1004 | 124 |
| 0d66c88e | 1004 | 475 |
| 9c4b87c0 | 1004 | 201 |
| 72d490f | 1004 (±93) | 14 |
| 5efeae1 | 1004 (±108) | 10 |
| 713ab409 | 1003 | 304 |
| 1659a0d6 | 1003 | 314 |
| a63510bb | 1003 | 183 |
| b7dda2a7 | 1003 | 172 |
| 163f2cef | 1003 | 122 |
| 11681429 | 1002 | 203 |
| 761bafc8 | 1002 | 178 |
| 5f879643 | 1002 | 305 |
| d813a8ed | 1001 | 185 |
| a90d817f | 1001 | 65 |
| 6fa25368 | 1001 | 364 |
| LZ28_154eaebd | 1001 | 623 |
| 987c6401 | 1000 | 381 |
| 6840734a | 999 | 60 |
| e0bfa960 | 999 | 264 |
| bf483b2 | 999 (±135) | 6 |
| 213df0d9 | 998 | 194 |
| 0aa3a463 | 998 | 416 |
| f3d1c322 | 998 | 56 |
| ac88568 | 998 (±113) | 9 |
| Human | 998 | 12032 |
| 8032c31 | 996 (±160) | 4 |
| af3c6e33 | 996 | 293 |
| 3ce38532 | 995 | 321 |
| 0905fec | 995 (±127) | 7 |
| 4a98f5fd | 994 | 140 |
| LZ32_7ba9d22c | 994 | 3055 |
| df3e7545 | 994 | 271 |
| 4963b441 | 994 | 394 |
| 472bbc8c | 994 | 406 |
| f3a88244 | 994 | 256 |
| 0b0d7f47 | 994 | 385 |
| LZ30_273a029d | 994 | 661 |
| LZ97_fc2b9ac3 | 993 | 3144 |
| 12abf535 | 993 | 294 |
| bf66995 | 993 (±114) | 9 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 0004a1d | 993 | 167 |
| f0e45351 | 993 | 357 |
| a293533a | 993 | 132 |
| ba9d22c | 992 | 556 |
| 00045d1d | 992 | 484 |
| 7e4ce468 | 992 | 244 |
| LZ99_b3a80524 | 991 | 2716 |
| b269a6c7 | 991 | 480 |
| 8af154cc | 991 | 261 |
| 423fcca4 | 991 | 289 |
| ea51d6ce | 991 | 128 |
| f02f01e3 | 991 | 227 |
| b8c9c4e9 | 990 | 58 |
| c21386d | 990 (±103) | 11 |
| a813fb4c | 990 | 248 |
| b6b80f86 | 990 | 368 |
| LZ82_0fb68ccf | 990 | 8315 |
| 3451dc9f | 989 | 58 |
| LZ33_aaa33e89 | 989 | 1764 |
| 2fc611a4 | 989 | 154 |
| b1f34c12 | 989 | 343 |
| b0963378 | 989 | 396 |
| 2260649b | 988 | 332 |
| LZ120_8c67ecdc | 988 | 5782 |
| a071b474 | 988 | 121 |
| d04d7a55 | 988 | 164 |
| 299a5b2c | 988 | 409 |
| aba19225 | 988 | 112 |
| ac2638d | 988 | 146 |
| 6afcdad4 | 987 | 393 |
| c27e73e6 | 987 | 413 |
| 05825e50 | 987 | 185 |
| 48be5c5b | 987 | 128 |
| b4a7f6ed | 987 | 224 |
| 1505ce08 | 987 | 372 |
| LZ103_d996fdc3 | 987 | 947 |
| 13f924e7 | 986 | 420 |
| LZ98_75603ad2 | 986 | 1852 |
| 9bbb68a0 | 986 | 301 |
| 84edc0ea | 986 | 228 |
| 2aa4d417 | 986 | 96 |
| c2adc82 | 986 | 53 |
| 5eecc1d8 | 985 | 48 |
| LZ101_18827fa7 | 985 | 1991 |
| 08ce0025 | 985 | 201 |
| 746749ff | 985 | 337 |
| 1c2adc82 | 984 | 267 |
| f56a53a9 | 984 | 114 |
| c011a662 | 984 | 237 |
| 090c3d4b | 984 | 193 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| d74d99cf | 984 | 321 |
| 5b58d4a2 | 983 | 216 |
| 682db79 | 983 (±113) | 9 |
| 9f933aad | 983 | 293 |
| 57f91c7 | 983 | 249 |
| e7278669 | 983 | 397 |
| 8694db1a | 982 | 268 |
| LZ104_193437be | 982 | 3042 |
| 365c43dd | 982 | 188 |
| LZ100_545ca6d6 | 982 | 5380 |
| LZ107_b7768081 | 982 | 1751 |
| 75f88353 | 982 | 261 |
| da7f1632 | 982 | 56 |
| cb4ca327 | 981 | 293 |
| 57b975e | 981 | 73 |
| 8228fa7 | 981 (±96) | 13 |
| 4f8f148f | 981 | 144 |
| 31a601da | 981 | 201 |
| 333b16e2 | 981 | 56 |
| f438268e | 980 | 726 |
| 3150c14a | 980 | 295 |
| LZ11_2184b750 | 980 | 143 |
| 430efa6e | 980 | 317 |
| aae3b38 | 980 | 58 |
| 3f554f99 | 979 | 272 |
| 622cc0a2 | 979 | 57 |
| 97df8f16 | 979 | 155 |
| 114a7965 | 979 | 307 |
| 960f8fde | 979 | 37 |
| cb2619af | 979 | 209 |
| 3372643d | 978 | 195 |
| 83f1bb32 | 978 | 322 |
| a36c3f0 | 978 | 107 |
| d9559963 | 978 | 403 |
| 7da8dc83 | 978 | 369 |
| f30279de | 978 | 1402 |
| 30aec94e | 977 | 175 |
| 89894f8b | 977 | 221 |
| 2a374fc1 | 977 | 324 |
| 3a06603d | 977 | 252 |
| c5e46754 | 977 | 134 |
| 8cee6e2b | 977 | 354 |
| 41750d9b | 976 | 418 |
| LZ105_ed26f634 | 976 | 5993 |
| 7c073415 | 976 | 324 |
| 6ad1b10 | 976 (±149) | 5 |
| 0fbff021 | 976 | 285 |
| 9509113a | 976 | 154 |
| aca0d1eb | 975 | 58 |
| 86b81d21 | 975 | 421 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| aa4d417 | 975 | 25 |
| 7b1bff79 | 975 | 299 |
| b45452ca | 974 | 48 |
| LZ106_b02f6fac | 974 | 864 |
| 865a5bba | 973 | 319 |
| d6b48684 | 973 | 389 |
| 82beb888 | 973 | 131 |
| e9fe9a3c | 972 | 352 |
| c8b77402 | 972 | 156 |
| a711d4e5 | 972 | 276 |
| 13eae93 | 972 | 38 |
| 2573eb35 | 972 | 1157 |
| cd968fa2 | 972 | 189 |
| 4b3cff7e | 972 | 372 |
| 2b4794c0 | 971 | 140 |
| da9fc3e0 | 971 | 304 |
| 2bc4ce37 | 971 | 376 |
| LZ102_0f6a8c5f | 971 | 2061 |
| b260af80 | 971 | 147 |
| 98b9c1b7 | 970 | 297 |
| 85c50ef6 | 970 | 264 |
| 68a0123b | 970 | 49 |
| 5d820e5e | 970 | 109 |
| 67ceefec | 970 | 306 |
| ee30a4b6 | 970 | 264 |
| 5c9d1271 | 969 | 59 |
| 3bd72848 | 969 | 243 |
| LZ7_92c658d7 | 968 | 395 |
| 2671f15a | 968 | 60 |
| 90efe1c3 | 968 | 309 |
| ce61ecdd | 968 | 424 |
| da13e022 | 968 | 200 |
| 964a889f | 968 | 362 |
| f1e0009 | 968 (±114) | 9 |
| 35cb41ca | 968 | 291 |
| cbc716dd | 968 | 208 |
| fa3892f9 | 968 | 179 |
| 8492c759 | 968 | 205 |
| e891f254 | 967 | 265 |
| 7ad9fb66 | 967 | 1582 |
| 60905fec | 967 | 162 |
| fee81012 | 967 | 278 |
| e1884d9e | 967 | 64 |
| 35f87d11 | 967 | 261 |
| d1c4c962 | 967 | 264 |
| 5716dc2a | 967 | 870 |
| 9522244d | 967 | 312 |
| a3e48a0 | 967 (±148) | 5 |
| 5e9bb319 | 967 | 231 |
| 7679f0ea | 967 | 113 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 558ed117 | 966 | 74 |
| aa7cd1d5 | 966 | 308 |
| e22e36fd | 966 | 185 |
| 6abecf25 | 966 | 263 |
| LZ46_58da6176 | 966 | 5023 |
| 46db6623 | 966 | 366 |
| 044d5645 | 966 | 85 |
| 52d3614f | 966 | 369 |
| 47a60dac | 966 | 300 |
| 7df9261d | 966 | 78 |
| b4307f6 | 965 | 29 |
| 47e0e15d | 965 | 74 |
| 996b6dfd | 965 | 179 |
| b785affe | 965 | 179 |
| 52ada58c | 965 | 155 |
| 928dde34 | 965 | 332 |
| cfbb3aa0 | 965 | 147 |
| 322f594 | 965 | 24 |
| 24ab0035 | 965 | 101 |
| ca0c6e83 | 964 | 111 |
| a7558a48 | 964 | 356 |
| 8b23a0ea | 964 | 420 |
| d9c5cd1e | 964 | 104 |
| 7640fffb | 964 | 168 |
| LZ36_c99f1ae0 | 963 | 3158 |
| 8635feb5 | 963 | 136 |
| 86a316a | 963 (±134) | 6 |
| f2a66bb7 | 963 | 408 |
| 716ff70a | 963 | 65 |
| 4cf78724 | 963 | 262 |
| 4d68c2ef | 962 | 61 |
| a667db01 | 962 | 771 |
| 22e0f15b | 962 | 328 |
| fb71a1b8 | 961 | 298 |
| 9dac0498 | 961 | 62 |
| 36a8b146 | 961 | 255 |
| 2fa1e2d0 | 960 | 256 |
| LZ109_85c6f2ad | 960 | 8619 |
| 2980c1db | 960 | 66 |
| 6c5c5f28 | 959 | 218 |
| dbe79c62 | 959 | 161 |
| 08acd557 | 959 | 317 |
| LZ108_1ccb7342 | 959 | 12625 |
| f7d9ae91 | 959 | 91 |
| LZ42_39fe0ce3 | 959 | 2997 |
| LZ5_1ac2638d | 959 | 382 |
| LZ27_ce1aa643 | 958 | 975 |
| dbeb46c8 | 958 | 279 |
| 2154b41c | 958 | 77 |
| bf664d22 | 958 | 245 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| LZ111_e9c2c70b | 958 | 3131 |
| 1070230b | 958 | 169 |
| 81ddb292 | 957 | 254 |
| db5fe6e2 | 957 | 301 |
| 59371e41 | 957 | 51 |
| 965d0d23 | 957 | 243 |
| 5682db79 | 957 | 219 |
| 9efff014 | 957 | 172 |
| 678b8466 | 956 | 228 |
| 3cc3b7cc | 956 | 146 |
| f8c5342a | 956 (±87) | 40 |
| 0f6e654a | 956 | 133 |
| 4183c62b | 956 | 219 |
| 4d8b2281 | 955 | 1833 |
| 641cf885 | 955 | 318 |
| d4f49bc0 | 955 | 324 |
| 3e6c0db0 | 955 | 274 |
| b4794c0 | 955 (±148) | 5 |
| b9ec1bf1 | 954 | 587 |
| f0d8098f | 954 | 435 |
| 35667870 | 954 | 87 |
| e4228c13 | 954 | 377 |
| 1cb39c46 | 954 | 2631 |
| c5381ab4 | 954 | 276 |
| d1dca808 | 953 | 157 |
| 9869a0f9 | 953 | 220 |
| 7c18cbd9 | 953 | 356 |
| 4619c005 | 953 | 50 |
| fd536b8d | 953 | 317 |
| 5d8aabb0 | 953 | 89 |
| 949640cd | 953 | 108 |
| b00b973e | 953 | 418 |
| 0e63c8c1 | 953 | 307 |
| LZ110_4c7dd084 | 953 | 1926 |
| 44d5645 | 952 | 29 |
| ef92b4f9 | 952 | 153 |
| 7992da32 | 952 | 144 |
| 9fb4fda0 | 951 | 337 |
| e81ba69d | 951 | 141 |
| 6c502d7a | 951 | 211 |
| e76dcedd | 951 | 272 |
| 8d79b17e | 951 | 232 |
| 3e50ac07 | 951 | 139 |
| f32ea9cc | 950 | 148 |
| 5c40290 | 950 (±148) | 5 |
| bec0096c | 950 | 119 |
| 5a52e3b3 | 950 | 266 |
| 07c097a7 | 950 | 293 |
| d5121301 | 949 | 231 |
| 93856abb | 949 | 296 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| f51c2c40 | 949 | 164 |
| 873183e8 | 949 | 137 |
| LZ34_696171c5 | 949 | 767 |
| 0218e576 | 949 | 233 |
| 39a36a6e | 949 | 169 |
| 79437c21 | 949 | 293 |
| cbb0659a | 949 | 69 |
| 14032e94 | 949 | 300 |
| 39cc913e | 949 | 250 |
| 6b912780 | 948 (±80) | 50 |
| 1c3b7ca1 | 948 | 49 |
| 5d637776 | 948 | 244 |
| d2a8b33c | 948 | 303 |
| 50703b09 | 948 | 191 |
| LZ121_5d6d9c5b | 947 | 4703 |
| d30236ff | 947 | 205 |
| 132e331e | 947 | 187 |
| 9b029d49 | 946 | 244 |
| 85c837fc | 946 | 349 |
| 91984042 | 946 | 269 |
| 980e1afc | 946 | 193 |
| 184596ce | 946 | 269 |
| 0b38370b | 946 | 180 |
| e964437b | 946 | 55 |
| 4f360edd | 946 | 221 |
| 11c47484 | 946 | 124 |
| 3c9154f9 | 946 | 59 |
| 98736825 | 945 | 265 |
| 6c6c8b61 | 945 | 203 |
| 41cd2668 | 945 | 255 |
| 30889b0f | 945 | 185 |
| LZ112_2f4d7274 | 945 | 1482 |
| 4cd07f1d | 945 | 139 |
| 69c187ec | 944 | 171 |
| 53336d86 | 944 | 287 |
| b042409d | 944 | 215 |
| 83e481a2 | 944 | 363 |
| b38f9702 | 944 | 157 |
| 8e61647d | 944 | 99 |
| d9fbd1cf | 944 | 190 |
| c3c53ea1 | 944 | 50 |
| 81be2ed6 | 944 | 281 |
| 53afaef1 | 943 | 273 |
| af4c25cd | 943 | 180 |
| 7fa7b4f6 | 942 | 148 |
| f3655d0e | 942 | 253 |
| 093fab59 | 941 | 250 |
| faf1a635 | 941 | 272 |
| 6aa1b6c0 | 941 | 216 |
| 7c21f4d | 941 (±81) | 19 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 363aa65e | 941 | 200 |
| 02ccbbe8 | 940 | 71 |
| a30d4d81 | 940 | 296 |
| LZ2_fe3f6afd | 940 | 747 |
| a95a4422 | 940 | 249 |
| d53f61a0 | 940 | 129 |
| a62ac483 | 940 | 100 |
| cdb1f85b | 940 | 53 |
| 27519e69 | 940 | 276 |
| 15503460 | 939 | 292 |
| affbdf28 | 939 | 159 |
| f879643 | 939 (±122) | 8 |
| 9c187ec | 939 (±122) | 8 |
| df9668d4 | 939 | 135 |
| a60dcc3 | 939 (±85) | 17 |
| 505410a4 | 939 | 283 |
| e66674e8 | 939 | 150 |
| ac80e1ae | 938 | 166 |
| bbeada55 | 938 | 252 |
| 93efa36e | 938 | 190 |
| 18abfd65 | 938 | 151 |
| 32cdc7a3 | 937 | 46 |
| deec92ee | 937 | 89 |
| 8ece786e | 937 | 278 |
| 5c906548 | 937 | 257 |
| e9bb319 | 937 (±92) | 15 |
| LZ25_808ac5f3 | 937 | 580 |
| 5c966a54 | 937 | 288 |
| 4243b249 | 936 | 246 |
| 8777bf06 | 936 | 292 |
| LZ24_3382a7d3 | 936 | 870 |
| 12c1d7d2 | 935 | 400 |
| 9ecd1c77 | 935 | 225 |
| 6195ddd3 | 935 | 60 |
| b1f25e15 | 935 | 39 |
| fc81ab9d | 935 | 404 |
| 0962c366 | 935 | 261 |
| cea19352 | 935 | 340 |
| c1147b3d | 935 | 163 |
| ad21c5ae | 934 | 52 |
| a5a42908 | 934 | 89 |
| 98b41522 | 934 | 347 |
| fc8fb461 | 934 | 280 |
| 902d5a06 | 934 | 249 |
| 934 | 1171 | |
| 9286aa93 | 934 (±86) | 45 |
| LZ122_c0cb605b | 934 | 1245 |
| e8e9c78d | 933 | 174 |
| b909a8e6 | 933 | 361 |
| f6f6fbdd | 933 | 297 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 6264bc2d | 932 | 274 |
| 5a36c3f0 | 932 | 219 |
| 7dd266b2 | 932 | 137 |
| 92297ff2 | 932 | 1228 |
| bfbcc6c7 | 932 | 53 |
| 985660b5 | 932 | 170 |
| 2c8b2dc3 | 932 | 135 |
| 40a9eadd | 932 | 71 |
| 7200bc64 | 932 | 237 |
| b1172238 | 932 | 187 |
| e361b6ad | 932 | 289 |
| 45492575 | 932 | 144 |
| c93f861d | 932 | 248 |
| LZ9_6f274ab1 | 932 | 180 |
| 7f6514ac | 932 | 234 |
| 891541b3 | 931 | 257 |
| bcac344b | 931 | 294 |
| 7f6e1cd3 | 930 | 53 |
| 3850f88b | 930 | 159 |
| 3d75d2bb | 930 | 166 |
| 1f85ffbc | 930 | 180 |
| b1433381 | 930 | 147 |
| 88669e9a | 929 | 236 |
| 824aa805 | 929 | 142 |
| eb278ec1 | 929 | 193 |
| 42504db | 929 (±90) | 16 |
| a3d16c38 | 929 | 230 |
| dd21754c | 928 | 260 |
| 536e6e8b | 928 | 89 |
| a095a5ab | 928 | 170 |
| d0456833 | 928 | 417 |
| 4d05ef6c | 928 | 146 |
| a07870ca | 928 | 167 |
| acf20db7 | 928 | 120 |
| 2adb0598 | 927 | 213 |
| 6d662ce3 | 927 | 125 |
| f7062624 | 927 | 362 |
| c3639716 | 927 | 209 |
| 7140104a | 927 | 328 |
| 221147e9 | 926 | 72 |
| d3ce145 | 926 | 23 |
| dbd30faa | 926 | 196 |
| 941c750a | 926 | 249 |
| a228870b | 926 | 218 |
| a351fa0f | 926 | 339 |
| 0a60dcc3 | 926 | 159 |
| 3e5eff30 | 925 | 425 |
| 69a8034a | 925 | 284 |
| b0221b62 | 925 | 96 |
| a83e0fb0 | 925 | 174 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 7059ab01 | 925 | 209 |
| 2ee50902 | 925 | 167 |
| 5fda90c6 | 925 | 267 |
| b511eff7 | 925 | 338 |
| LZ113_8fc22bca | 925 | 6194 |
| 08555977 | 924 | 157 |
| cf827fb2 | 924 | 49 |
| 86580b55 | 924 | 165 |
| c75e7448 | 924 | 279 |
| c0c67562 | 924 | 173 |
| 501f51e7 | 923 | 204 |
| 66deae1e | 923 | 374 |
| 057e09b1 | 923 | 412 |
| 6ea5f0ba | 923 | 141 |
| f5499469 | 923 | 219 |
| 2e46ad44 | 922 | 240 |
| 7dd5216b | 922 | 296 |
| 0d3ce145 | 922 | 86 |
| a6594b29 | 922 (±86) | 48 |
| d0f0e640 | 922 (±86) | 48 |
| d5822184 | 922 | 108 |
| 3ce4272e | 922 | 46 |
| 13312eeb | 922 | 46 |
| 60530588 | 922 | 169 |
| f274ab1 | 922 (±91) | 20 |
| e033a3f7 | 922 | 222 |
| 875c654 | 922 (±109) | 10 |
| 46c868ab | 921 | 268 |
| b0280a71 | 921 | 309 |
| 4c801457 | 921 | 120 |
| d2dc3fd1 | 921 | 203 |
| 0f31f345 | 921 | 195 |
| fd61b405 | 921 | 433 |
| 2777b012 | 920 | 154 |
| 76f55bce | 920 | 114 |
| 94b5654b | 920 | 59 |
| db68982c | 920 | 425 |
| 1f67305 | 920 (±127) | 7 |
| 183c62b | 920 (±90) | 16 |
| 20aaa5e6 | 919 | 368 |
| 1cde377b | 919 | 58 |
| 85b380a2 | 918 | 240 |
| 2fa14db | 918 (±127) | 7 |
| de58a146 | 917 | 57 |
| e574f59d | 917 | 51 |
| 1dbf8103 | 917 | 47 |
| 5f001fed | 917 | 130 |
| 02c14d8f | 917 | 164 |
| 0856bd91 | 917 | 353 |
| fe97af19 | 917 | 193 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 1ba583c2 | 916 | 182 |
| ea9cae4f | 916 | 201 |
| 6a93ba14 | 916 | 279 |
| aedc123a | 916 | 378 |
| 5516a076 | 916 | 190 |
| 2abf535 | 916 | 37 |
| 8eb078db | 916 | 95 |
| 2995f5d1 | 915 | 136 |
| 00155d1a | 915 | 211 |
| eb078db | 915 | 47 |
| dca4107e | 915 | 108 |
| 1c209d09 | 915 | 225 |
| eecc20bb | 915 | 375 |
| 5319f490 | 915 | 276 |
| 17cdf442 | 914 | 192 |
| 022bae3a | 914 | 134 |
| 4d0e195c | 914 | 123 |
| ce2d2fbf | 914 | 198 |
| 28a8e16e | 913 | 144 |
| 3177eb49 | 913 | 167 |
| ac7cd182 | 913 | 248 |
| a2665ca1 | 913 | 193 |
| b3f576f5 | 913 | 337 |
| 73b07a0a | 913 | 345 |
| c66bee88 | 913 | 197 |
| f4f8e5bf | 913 | 292 |
| 70959052 | 913 | 183 |
| 8c687271 | 913 | 48 |
| ddbe80d0 | 912 | 206 |
| 5fad696e | 912 | 418 |
| 825cbda5 | 912 | 100 |
| b9639fe4 | 912 | 418 |
| 7e54ca09 | 912 | 173 |
| LZ114_2e3863ed | 912 | 10813 |
| 252896f8 | 912 | 219 |
| 75632c05 | 911 | 218 |
| 10c7b28b | 911 | 317 |
| 10c46502 | 911 | 72 |
| fd478ca7 | 911 | 58 |
| 2cceb57a | 911 | 333 |
| 96b99bd1 | 911 | 914 |
| 019d89cc | 911 | 213 |
| d6871345 | 910 | 46 |
| cbc3acfa | 910 | 46 |
| 6fd1a91b | 910 | 46 |
| d135a88b | 910 | 56 |
| 7343b78b | 910 | 376 |
| aa7d4504 | 910 | 415 |
| 76f753db | 910 | 431 |
| b204735e | 909 | 393 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 716aae02 | 909 | 331 |
| 57afbbc0 | 909 | 149 |
| d5322aff | 908 | 156 |
| 8d46fba8 | 908 | 91 |
| 84f5bea5 | 908 | 201 |
| 46c3ebd7 | 907 | 387 |
| adf464c0 | 907 | 172 |
| d1a00572 | 906 | 359 |
| 330a93e2 | 906 | 44 |
| 31ae09db | 906 | 44 |
| 5c441751 | 906 | 332 |
| b2177533 | 905 | 195 |
| dce2311b | 905 | 288 |
| 6257829e | 905 | 63 |
| e6eb007b | 905 | 206 |
| 4a43dc74 | 905 | 376 |
| 8aeb03f4 | 905 | 129 |
| 1e5e7230 | 905 | 331 |
| 22cb8df4 | 905 | 329 |
| 2c169585 | 904 | 421 |
| 4b832b05 | 904 | 371 |
| ded9c5d7 | 903 | 277 |
| 8ce0025 | 903 (±116) | 10 |
| d22bec92 | 903 | 384 |
| 6c6ea233 | 903 | 158 |
| f4978402 | 902 | 168 |
| 01643c0a | 902 | 109 |
| 78db5aec | 902 | 48 |
| 4f1e0009 | 902 | 106 |
| 6b0aa461 | 902 | 397 |
| 3108ed5a | 901 | 388 |
| d3603bc0 | 901 | 344 |
| LZ90_1a198f8d | 901 | 2827 |
| 4cb404fd | 901 | 390 |
| 51410429 | 901 | 389 |
| LZ115_8ed44722 | 901 | 3489 |
| e8e45373 | 901 | 130 |
| 10cf48a | 900 (±104) | 12 |
| 0322f594 | 900 | 128 |
| 0c7441ce | 900 | 130 |
| 3211217a | 900 | 325 |
| 4677e5cc | 899 | 128 |
| 6a505e80 | 899 | 384 |
| f188d35c | 899 | 97 |
| c252706a | 899 | 173 |
| e73bd761 | 899 | 291 |
| ac063bf | 899 (±141) | 6 |
| f708b019 | 899 | 131 |
| 2c21386d | 898 | 163 |
| LZ80_e1156879 | 898 | 3377 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 8a045c42 | 898 | 326 |
| c8d52bf8 | 898 | 49 |
| 0fd0d54e | 898 | 49 |
| 372d490f | 898 | 165 |
| 1b1e2ad2 | 898 | 208 |
| aa4f6e1d | 898 | 411 |
| 959ca800 | 898 | 352 |
| LZ81_5e8f3a94 | 897 | 1752 |
| LZ123_f3231682 | 897 | 4768 |
| 3332faa1 | 897 | 145 |
| cf373586 | 897 | 383 |
| 57fbd0b3 | 896 | 163 |
| 5d30bdfe | 896 | 188 |
| a718241e | 896 | 262 |
| 67a46ada | 896 | 190 |
| 1a23a299 | 896 | 108 |
| 079a4e7d | 896 (±116) | 11 |
| b7780549 | 896 | 341 |
| LZ88_a91721af | 896 | 2474 |
| 5e3f95c5 | 895 | 1890 |
| b86e7513 | 895 | 395 |
| 00db821b | 895 | 256 |
| 4de0e9f4 | 895 | 212 |
| 5ab88718 | 895 | 125 |
| a6557165 | 894 | 115 |
| 652a3d64 | 894 | 274 |
| 0420bdf2 | 894 | 142 |
| 6a04a2e0 | 894 | 65 |
| LZ89_53f4cc79 | 894 | 9617 |
| LZ79_8f0031dd | 894 | 1664 |
| 35415bb0 | 893 (±93) | 45 |
| 5abe4b6e | 893 | 271 |
| 1cf75770 | 893 | 302 |
| LZ37_c4611a60 | 893 | 1057 |
| 853c989a | 893 | 298 |
| bb77764c | 893 | 118 |
| 57727ad8 | 893 | 151 |
| 07b1c9cd | 892 | 353 |
| 0040bdc2 | 892 | 363 |
| LZ23_4e4d09be | 892 | 484 |
| a5109599 | 892 | 320 |
| LZ124_8a045bce | 892 | 3231 |
| b4fd0938 | 891 | 72 |
| LZ22_3ba92804 | 891 | 49 |
| 92d4095d | 891 | 133 |
| 77c32e77 | 891 | 329 |
| 77c21f4d | 891 | 149 |
| d3a2c6ed | 891 | 66 |
| 1168961b | 891 | 134 |
| 9d92a12d | 890 | 363 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 964a342a | 890 | 119 |
| 856aa9c9 | 890 | 51 |
| 62104457 | 890 | 116 |
| d9ebc35d | 890 | 201 |
| c5c7b627 | 890 | 128 |
| b8e5c59c | 890 | 178 |
| 1281d29e | 889 | 187 |
| 291e6e39 | 889 | 417 |
| 19b56870 | 889 | 166 |
| 9b991468 | 889 | 173 |
| 6f9e74ba | 889 | 353 |
| 8b49ce26 | 888 | 416 |
| c0f017f0 | 888 | 123 |
| 06df620d | 888 | 307 |
| 6c808fe5 | 888 | 305 |
| c010f034 | 888 | 404 |
| f7472e28 | 888 | 289 |
| 80a3be6f | 888 | 148 |
| 0e89960e | 887 | 146 |
| 534cbea8 | 887 | 374 |
| 79234859 | 887 | 81 |
| 739a5214 | 887 | 304 |
| ce0069db | 887 | 733 |
| 83c486ca | 887 | 104 |
| dfb0bb78 | 887 | 337 |
| 8664756e | 886 | 119 |
| 795c76ff | 886 | 321 |
| a1478ec4 | 886 | 49 |
| 74bcced0 | 886 | 53 |
| 542db1f7 | 886 | 53 |
| da9a823 | 886 (±98) | 13 |
| 5737d739 | 886 | 170 |
| de98db0b | 886 | 396 |
| 46666457 | 886 | 401 |
| cb94036a | 886 | 147 |
| 6c3543dc | 886 | 251 |
| 68f125d0 | 886 | 129 |
| 73b9684f | 886 | 326 |
| 0cfd2255 | 885 | 260 |
| edf92a94 | 885 | 122 |
| df64f348 | 885 | 127 |
| 737d739 | 885 (±121) | 8 |
| 881a5e0a | 885 | 335 |
| 45415056 | 884 | 181 |
| f82d3a47 | 884 | 145 |
| 444ce70b | 884 | 271 |
| a20007ec | 884 | 400 |
| b5b29d0c | 884 | 128 |
| c8b2dc3 | 884 (±93) | 16 |
| 9a1b4c56 | 884 | 408 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| cd78a0da | 884 | 324 |
| eacb34e8 | 884 | 340 |
| LZ116_39d46507 | 883 | 17944 |
| 8cd0caf0 | 883 | 320 |
| 4b7f54a1 | 883 | 80 |
| 4629b57a | 883 | 291 |
| 027f94ab | 883 | 249 |
| a5044853 | 883 | 262 |
| 93f8b60c | 882 | 303 |
| 4770b8f1 | 882 | 214 |
| f414fad7 | 882 | 273 |
| ba66dac | 882 (±122) | 8 |
| 8ac02fba | 882 | 54 |
| b0c120f3 | 882 | 317 |
| c40b5ebb | 882 | 63 |
| ec35160b | 882 | 368 |
| 252e2888 | 882 (±92) | 48 |
| 6d19e54c | 882 | 337 |
| 1ae35a67 | 882 | 267 |
| 4d6273cd | 881 | 312 |
| 6b3d1fb | 881 (±118) | 9 |
| ab73c383 | 881 | 332 |
| f6e654a | 881 (±115) | 10 |
| ff70f596 | 881 | 123 |
| 5cda2db | 881 (±102) | 13 |
| 2e70692f | 880 | 331 |
| ca021ae0 | 880 | 79 |
| ae147a06 | 880 | 136 |
| d34b72d2 | 880 | 115 |
| 5ea2a759 | 880 | 295 |
| 4e4d4401 | 880 | 293 |
| 100fa8bc | 880 | 403 |
| LZ91_b3b00c6d | 880 | 5892 |
| 70fc392e | 880 | 258 |
| ebb72156 | 880 | 356 |
| b0ec0424 | 879 | 396 |
| 72b846ed | 879 | 66 |
| ae2c277a | 879 | 43 |
| 9e6db75c | 879 | 62 |
| a23a299 | 879 (±94) | 15 |
| LZ78_b8adb7da | 878 | 5083 |
| 05e64f42 | 878 | 112 |
| 8f21868 | 878 (±122) | 8 |
| 18228fa7 | 878 | 208 |
| 74c09fcf | 878 | 401 |
| f0a2d4c5 | 878 | 171 |
| 66f1385c | 878 | 249 |
| 4b9e7554 | 878 | 86 |
| a88c3a8b | 877 | 231 |
| 0e47c855 | 877 | 314 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 343f50d3 | 877 | 282 |
| 8da9a823 | 877 | 186 |
| 2e1dac92 | 876 | 281 |
| 2b846ed | 876 (±136) | 7 |
| 0dccade7 | 876 | 71 |
| c7559147 | 875 | 294 |
| d7d70f85 | 875 | 291 |
| dd7ec0c2 | 875 | 326 |
| 79f0c060 | 875 | 74 |
| 39b71d8 | 875 (±175) | 4 |
| c89f1c0a | 875 | 109 |
| cd6edc55 | 874 | 143 |
| LZ8_22373747 | 874 | 106 |
| 71886860 | 874 | 52 |
| e7fb8d95 | 874 | 100 |
| dba2dec3 | 874 | 361 |
| d38fd432 | 873 | 338 |
| b908a080 | 873 | 417 |
| e7121f45 | 873 | 370 |
| c72d2340 | 873 | 283 |
| e5544fdf | 873 | 155 |
| 2fd00673 | 872 | 127 |
| LZ173_33986b7f | 872 | 1848 |
| 06df09fb | 872 | 343 |
| 164806e9 | 872 | 259 |
| a37732dd | 872 | 206 |
| 0f3b16d2 | 871 | 85 |
| 4c6f49f3 | 871 | 330 |
| ce03aab3 | 871 | 135 |
| f8fa401f | 871 | 334 |
| b7c5bbbe | 871 | 48 |
| e89960e | 871 (±115) | 10 |
| eb59a0fa | 871 | 348 |
| acfc9379 | 871 | 72 |
| c05ac8ba | 871 | 307 |
| 6257879d | 870 | 296 |
| dfba0478 | 870 | 204 |
| 4cc36c98 | 870 | 239 |
| cbf56508 | 870 | 341 |
| 44871737 | 870 | 105 |
| 286e9480 | 870 | 53 |
| 514bea25 | 870 | 304 |
| 3fdd1fa3 | 870 | 349 |
| ac1220f4 | 870 | 275 |
| 3af780e7 | 870 | 122 |
| c424fe0d | 870 | 205 |
| e4bf29b1 | 869 | 49 |
| 502add9a | 869 | 336 |
| ce4a47b3 | 869 | 96 |
| 81bd54c5 | 869 | 305 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 26692a2f | 869 | 374 |
| ba2fc9ad | 869 | 358 |
| 5bb2eebe | 868 | 49 |
| 3feba743 | 868 | 300 |
| db85302b | 868 | 89 |
| d18ccd63 | 868 | 365 |
| 8b8cd7de | 868 | 92 |
| 41b093c3 | 868 | 260 |
| 7f012689 | 867 | 234 |
| 6b809cc3 | 867 | 90 |
| 53b267d3 | 867 | 279 |
| LZ77_5ac1d898 | 867 | 6139 |
| f54b347e | 867 | 379 |
| e14c1468 | 866 | 92 |
| 970836ca | 866 | 54 |
| 78f58e9e | 866 | 309 |
| 3c8f6488 | 866 | 369 |
| 7942ea24 | 866 | 198 |
| 0589016c | 866 | 413 |
| 761f699e | 866 | 240 |
| c4a300f8 | 865 | 403 |
| 2f04312d | 865 | 407 |
| 289f6f47 | 865 | 249 |
| 17ef1a65 | 865 | 262 |
| 03ebd9f3 | 865 | 352 |
| e4d09be | 865 | 253 |
| 41087f8d | 865 | 93 |
| e61647d | 865 (±81) | 22 |
| LZ172_b1c37640 | 865 | 14116 |
| 43b40718 | 865 | 277 |
| f20bf0b3 | 865 | 243 |
| 5d0af59b | 864 | 99 |
| 4bfa7696 | 864 | 267 |
| bba5329e | 864 | 130 |
| d9a6aca2 | 864 | 144 |
| 42fcb766 | 864 | 311 |
| c6443f35 | 864 | 254 |
| 8f795b4 | 864 (±136) | 7 |
| b5529b88 | 864 | 252 |
| 2e972756 | 864 | 43 |
| bdae40d0 | 864 | 158 |
| b5c985f5 | 863 | 261 |
| 94f42e15 | 863 | 413 |
| 4bad3c96 | 863 | 253 |
| 6a6c9d87 | 863 | 289 |
| 89cc9847 | 862 | 161 |
| 6faccb94 | 862 | 99 |
| 5fe57615 | 862 | 475 |
| 72bc8a98 | 862 | 292 |
| 119d9ae9 | 862 | 341 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 4c5ef968 | 862 | 329 |
| f8074121 | 861 | 220 |
| 16cd0b37 | 861 | 93 |
| c287869e | 861 | 171 |
| f1cfbfe2 | 861 | 393 |
| 140dff24 | 861 | 393 |
| 7bdfa5aa | 861 | 664 |
| LZ171_db75fe75 | 861 | 1555 |
| 13f4ad21 | 860 | 290 |
| da037420 | 860 | 97 |
| 90cdfd2 | 860 (±174) | 4 |
| 1becf3a6 | 859 | 291 |
| 982b385 | 859 (±140) | 6 |
| 4c4e951b | 859 | 414 |
| ee62c0a3 | 859 | 391 |
| fe2fc835 | 859 | 424 |
| 6f936be7 | 858 | 50 |
| 3c0c6c0 | 858 (±174) | 4 |
| 044b2790 | 857 | 98 |
| 84ee51b8 | 857 | 419 |
| 593e98b3 | 857 | 243 |
| 8fb553b2 | 857 | 226 |
| 77a45ea | 857 (±140) | 6 |
| 94c42865 | 857 | 234 |
| 9350a8f6 | 857 | 428 |
| be200aa3 | 857 | 417 |
| fee6830f | 857 | 406 |
| a45b21d9 | 856 | 188 |
| c46dfca6 | 856 | 150 |
| 425582a5 | 856 | 275 |
| 78cc2ebb | 856 | 415 |
| 60f7e1de | 856 | 229 |
| 88709956 | 856 | 300 |
| efd04748 | 855 | 321 |
| 16736d1a | 855 | 274 |
| 11a97cb4 | 855 | 110 |
| 9f2c0379 | 855 | 384 |
| 7aae3b38 | 855 | 105 |
| ca86718d | 855 | 251 |
| 0b8a20b1 | 855 | 251 |
| fc5e0a50 | 854 | 553 |
| 871426b8 | 854 | 55 |
| 90307473 | 854 | 289 |
| 858970d6 | 854 | 383 |
| a552dc2c | 854 | 190 |
| 032170b0 | 854 | 251 |
| 8fea5dd4 | 853 | 245 |
| d6e69906 | 853 | 294 |
| 409bee36 | 853 | 393 |
| a199e160 | 853 | 382 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 2373747 | 853 (±125) | 21 |
| a755f76 | 853 (±140) | 6 |
| 52aab6eb | 853 | 85 |
| ab94e0ef | 853 | 86 |
| 1be01cbc | 853 | 278 |
| f78ecb4e | 852 | 385 |
| d0a28165 | 852 | 51 |
| 8f5065f9 | 852 | 140 |
| 452d01fb | 852 | 87 |
| 49eea746 | 852 | 394 |
| c27ac0ee | 852 | 395 |
| 6cdeb92 | 852 (±85) | 20 |
| 7e1aa1a8 | 852 | 207 |
| 31f62b17 | 852 | 162 |
| 48d2b5f6 | 852 | 395 |
| df5f1d3c | 851 | 128 |
| ab057eeb | 851 | 264 |
| 51afb1b9 | 851 | 389 |
| 85029b0e | 851 | 212 |
| a04237a9 | 851 | 236 |
| f4ce9d1c | 851 | 394 |
| 64cb819d | 851 | 398 |
| c0f3bf98 | 851 | 262 |
| 1a7bbe38 | 851 | 68 |
| 63a1c956 | 850 | 390 |
| 8f4f2cb9 | 850 | 219 |
| LZ126_59bb7337 | 850 | 1471 |
| b69f55c6 | 850 | 190 |
| 238f4685 | 850 | 190 |
| 7b0f73f7 | 850 | 181 |
| bb9b898e | 850 | 54 |
| abbeac96 | 850 | 172 |
| f25c1abe | 849 | 412 |
| 4fe7d6cf | 849 | 202 |
| df366ad4 | 849 | 95 |
| 58dd4102 | 849 | 72 |
| 5345d132 | 849 | 96 |
| 8ba2441e | 849 | 96 |
| f697bd57 | 849 | 235 |
| c80a181e | 849 | 115 |
| 65a6db24 | 849 | 209 |
| a1cd8255 | 849 | 233 |
| 5f9041d1 | 848 | 87 |
| aa7accc6 | 848 | 163 |
| 55105b2e | 848 | 400 |
| 30bae217 | 848 | 381 |
| LZ164_61c4a1b4 | 848 | 803 |
| 2857b252 | 848 | 378 |
| ecb6aa96 | 848 | 359 |
| a9133037 | 848 | 232 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 2f7794c1 | 848 | 110 |
| 4f6f0b3d | 847 | 374 |
| 621756dd | 847 | 289 |
| 02f84803 | 847 | 259 |
| 586e34a6 | 847 | 124 |
| bef701e8 | 847 | 429 |
| 99f49801 | 847 | 264 |
| 8d3fc942 | 847 | 93 |
| 63f64852 | 847 | 360 |
| 839a7762 | 847 | 262 |
| 06b5c438 | 846 | 145 |
| f7beb74 | 846 (±174) | 4 |
| 06e57381 | 846 | 226 |
| 2192f5d4 | 846 | 316 |
| 14641588 | 846 | 72 |
| LZ125_e8601c38 | 845 | 7885 |
| 3ee179d6 | 845 | 93 |
| 09b5fa5c | 845 | 92 |
| b9b5671d | 845 | 235 |
| 6237490a | 845 | 402 |
| 607f4a1e | 844 | 386 |
| 8df9579e | 844 | 248 |
| 7ecf3488 | 844 | 360 |
| 5be033cd | 844 | 392 |
| 2aeb5278 | 844 | 71 |
| 82642aaa | 844 | 220 |
| 358d1ea5 | 844 | 370 |
| bc1e3e9f | 843 | 273 |
| aadfcc10 | 843 | 391 |
| 5149f7a9 | 843 (±103) | 45 |
| 27dd1301 | 843 (±103) | 45 |
| 1875c654 | 843 | 150 |
| 48e32673 | 843 | 57 |
| 2d19123d | 843 | 111 |
| ffd81b41 | 843 | 382 |
| 2c908257 | 842 (±84) | 47 |
| LZ127_3f6c8dd8 | 842 | 4206 |
| 3b5a964a | 842 | 373 |
| 818b51a1 | 841 | 198 |
| ae06864f | 841 | 147 |
| 50c558e0 | 841 | 92 |
| LZ74_d6f3a68b | 841 (±278) | 19 |
| 0a3e48a0 | 841 | 55 |
| 9e90d19a | 841 | 54 |
| 658a5e3a | 840 | 71 |
| 81eee283 | 840 | 378 |
| a879bcab | 840 | 192 |
| 46c53f22 | 840 | 388 |
| 1667172b | 840 | 418 |
| cf3f2ebf | 840 | 85 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| fe26c6db | 840 | 301 |
| f92f6263 | 840 | 48 |
| LZ170_e4466f1c | 840 | 808 |
| 9ad19233 | 840 | 60 |
| eaafa992 | 840 | 174 |
| 7b7d5d59 | 840 | 174 |
| 1fe10e46 | 840 | 393 |
| 87392416 | 840 | 124 |
| dde52025 | 839 | 330 |
| 4dad2d0d | 839 | 410 |
| a0e337d5 | 839 (±103) | 46 |
| d56bdb52 | 839 | 172 |
| 9417ff3e | 839 | 133 |
| d8b4e4e0 | 839 | 310 |
| 37e09e44 | 839 | 363 |
| 2e2168cd | 838 | 114 |
| 8ce4f274 | 838 | 196 |
| 24787ac5 | 838 | 116 |
| 1a4b6e7d | 838 (±83) | 48 |
| 63e1f4ac | 838 | 175 |
| 77f6a3a1 | 838 | 366 |
| 7b6010f8 | 838 | 323 |
| 3841d031 | 838 | 180 |
| d4ea15ef | 837 | 226 |
| 502a071f | 837 | 370 |
| ef7f9965 | 837 | 153 |
| 1aa87ff7 | 837 | 320 |
| 1a1ac2bd | 837 | 93 |
| 813065e5 | 837 | 330 |
| 2a4475f1 | 837 | 355 |
| LZ156_050375ce | 836 | 4915 |
| 73e91f20 | 836 | 162 |
| 3ec00a4b | 836 | 417 |
| d134d102 | 836 | 213 |
| 48b9c75f | 836 | 190 |
| 38f17baf | 836 | 321 |
| 78b977c3 | 836 | 348 |
| d466df47 | 835 | 76 |
| 56fae1d4 | 835 | 167 |
| 0ca937d6 | 835 | 411 |
| 7d56d58a | 835 | 409 |
| 2bbee98c | 835 | 327 |
| 42250132 | 835 | 359 |
| d697912d | 835 | 256 |
| cd05bc23 | 835 | 245 |
| a4ccbe3d | 835 | 163 |
| 85b959c7 | 834 | 341 |
| e73c1f00 | 834 | 184 |
| 7a85b155 | 834 (±83) | 49 |
| 8a8b021d | 834 (±83) | 49 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| ec0e2820 | 834 | 417 |
| da69a2c8 | 834 | 344 |
| 323df1c9 | 834 | 114 |
| ab32149 | 833 | 26 |
| 84d6ab24 | 833 | 413 |
| e56c1fba | 833 | 372 |
| ecea1e2e | 833 | 333 |
| f1082dbf | 833 | 349 |
| LZ76_cde9c8d4 | 833 | 3486 |
| 08753f80 | 833 | 50 |
| LZ155_834f35fa | 832 | 7872 |
| d6b021e8 | 832 | 401 |
| 92c1f947 | 832 | 316 |
| fc8aa3ea | 832 | 128 |
| 7ec2b943 | 831 | 396 |
| be7a5da0 | 831 | 381 |
| 48437672 | 831 | 269 |
| 08da9a79 | 831 | 385 |
| 829f3038 | 831 | 179 |
| 2ef28494 | 831 | 412 |
| 55c2734e | 831 | 81 |
| 6250f55d | 831 | 211 |
| f4d76bb8 | 830 | 210 |
| e6e8c422 | 830 | 404 |
| 2140aa3f | 830 | 338 |
| 3506879a | 830 | 346 |
| 24dc490c | 830 | 318 |
| LZ157_d351f06e | 830 | 15185 |
| 6f7b7329 | 830 | 343 |
| f4a434b9 | 829 | 194 |
| 7058fa72 | 829 | 251 |
| af379ff6 | 829 | 329 |
| 8ca0ec68 | 829 | 399 |
| 353dcd2d | 829 | 51 |
| 87879f84 | 829 | 51 |
| b1f453c5 | 828 | 405 |
| 6be9d408 | 828 | 209 |
| 2c4a160d | 828 | 419 |
| 4c7c416b | 828 | 203 |
| 566a9fb2 | 828 | 326 |
| LZ166_9c56ae62 | 828 | 5449 |
| f222b35f | 828 | 306 |
| 8320d1c0 | 828 | 383 |
| 9e188fc7 | 828 | 105 |
| dd8d34aa | 828 | 150 |
| 327fdf21 | 828 | 326 |
| 9c3afb5e | 828 | 377 |
| 1a06b5f0 | 828 | 304 |
| LZ154_7ff174e6 | 828 | 830 |
| 955cd078 | 827 | 118 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| d63fb75a | 827 | 404 |
| LZ165_c910dee9 | 827 | 4190 |
| 6aa14ca8 | 827 | 323 |
| 710de696 | 827 | 122 |
| a72a5fd0 | 827 | 181 |
| 1dbb1afd | 827 | 376 |
| a558ba92 | 827 | 141 |
| e92b56c9 | 827 | 177 |
| 44aa9e80 | 826 | 314 |
| 7148ae6e | 826 | 320 |
| 7597e9a0 | 826 | 312 |
| ce7767ce | 826 | 326 |
| LZ163_a438382b | 826 | 3611 |
| 6c16bcb5 | 826 | 269 |
| f7a17e59 | 825 | 122 |
| 0377ac8c | 825 | 369 |
| 629f84e6 | 825 | 293 |
| 33257622 | 825 | 86 |
| ff713604 | 825 | 390 |
| 8d47e3db | 825 | 321 |
| 454fe55f | 825 | 384 |
| 6cd0b37 | 824 | 40 |
| b7d93c7e | 824 | 140 |
| a96a6eba | 824 | 143 |
| c0542d39 | 824 | 383 |
| 426ffb78 | 824 | 286 |
| 07ed7ce9 | 824 | 354 |
| 190c1918 | 824 | 290 |
| LZ167_dfe03992 | 824 | 2317 |
| 804e55ec | 823 | 375 |
| 7b9c05a8 | 823 | 248 |
| ccd1356e | 823 | 295 |
| 88245839 | 823 | 72 |
| af780e7 | 823 (±135) | 7 |
| 40f6c7a9 | 823 | 46 |
| e32114b0 | 823 | 412 |
| c6e158c6 | 823 | 399 |
| 9b4d79ba | 823 | 50 |
| 35efeae1 | 823 | 68 |
| a6229ef5 | 822 | 118 |
| 1cf845ba | 822 | 377 |
| 0d952e85 | 822 | 311 |
| 422b1b79 | 822 | 383 |
| 7c3123b4 | 822 | 184 |
| cc27ae18 | 822 | 301 |
| 17c94011 | 822 | 316 |
| 190437e0 | 822 | 281 |
| 44f1e04a | 822 | 129 |
| LZ168_8993cd24 | 821 | 1796 |
| 71e55c75 | 821 | 362 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 8b3c8e01 | 821 | 310 |
| d837952b | 821 | 116 |
| 1d085bf8 | 821 | 199 |
| d9ccc62f | 821 | 300 |
| 5ac3efd7 | 821 | 294 |
| 4caca2a8 | 821 | 337 |
| 4fb35822 | 820 | 91 |
| e14a54f2 | 820 | 120 |
| LZ159_5a5e7393 | 820 | 2607 |
| 496041d2 | 820 | 181 |
| 5245318b | 820 | 98 |
| f37d83b | 819 (±97) | 17 |
| 7e08bbce | 819 | 105 |
| 3322fe75 | 819 | 96 |
| 99f751a8 | 819 | 335 |
| 4c406bfe | 819 | 317 |
| d8ee72a0 | 819 | 304 |
| 908c4f1d | 819 | 134 |
| aa0b0502 | 819 | 277 |
| b1c59b64 | 818 | 59 |
| 726397f2 | 818 | 155 |
| 2efe6bbb | 818 | 138 |
| c9bc1b3a | 818 | 299 |
| 34b0835c | 818 | 409 |
| d81e164b | 818 | 309 |
| 5cae5f48 | 818 | 99 |
| 6e35dc63 | 817 | 112 |
| b58be342 | 817 | 382 |
| 7db47cd2 | 817 | 75 |
| f0a00e33 | 817 | 310 |
| fbd2f29f | 817 | 347 |
| 90767fc9 | 817 | 442 |
| 239d5c40 | 817 | 43 |
| 9a631ad0 | 817 | 276 |
| aaddcf20 | 817 | 281 |
| ac9a034f | 816 | 248 |
| ccda7c75 | 816 | 273 |
| 3da1f18a | 816 | 108 |
| b1068548 | 816 | 82 |
| 4cb01ffa | 816 | 340 |
| 70c9a316 | 816 | 41 |
| 7fb7bf26 | 815 | 293 |
| 33f3778 | 815 (±168) | 5 |
| ea885ec | 815 (±168) | 5 |
| 7f6b51ef | 815 | 413 |
| 9ed0d5a2 | 815 | 174 |
| 12357cc3 | 815 | 305 |
| d39c05fc | 815 | 64 |
| 304e4624 | 815 | 378 |
| 7d19bdce | 815 | 127 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| ac666d3d | 815 | 362 |
| 5cdb1415 | 815 | 268 |
| a91fe699 | 814 | 332 |
| a9fa9d30 | 814 | 285 |
| 9046d3bf | 814 | 80 |
| 6abdfc49 | 814 | 279 |
| 51827631 | 814 | 124 |
| 16fd6a22 | 814 | 316 |
| 21a96173 | 814 | 336 |
| 33c5c5e8 | 814 | 66 |
| b2af57d7 | 814 | 392 |
| f07618fa | 814 | 277 |
| LZ153_e1d466aa | 814 | 12671 |
| 6560ce9d | 814 | 282 |
| dcfce177 | 814 | 170 |
| b4d79ba | 814 | 28 |
| d145d746 | 813 | 278 |
| be961475 | 813 | 335 |
| 4046c686 | 813 | 93 |
| 50626328 | 812 | 386 |
| 6aa6afda | 812 | 274 |
| 9c2ffd1e | 812 | 324 |
| 81e5fe1e | 812 | 314 |
| b3761685 | 812 | 417 |
| 7ad24421 | 811 (±83) | 47 |
| 6cc8bd58 | 811 | 45 |
| 910e78d1 | 811 | 393 |
| d008dbb5 | 811 | 412 |
| d25f0dae | 811 | 281 |
| 4e4c3040 | 811 | 131 |
| f666eec | 811 (±88) | 22 |
| 70855ac8 | 810 | 113 |
| 667281f2 | 810 | 49 |
| 85c40290 | 810 | 60 |
| LZ160_511034f4 | 810 | 4033 |
| 00475ef2 | 810 | 352 |
| 901917c3 | 810 (±91) | 45 |
| LZ169_7141e697 | 810 | 3803 |
| 501a069a | 810 | 351 |
| 506d5ca7 | 810 | 221 |
| 433c3656 | 809 | 144 |
| 04c70ada | 809 | 303 |
| e303f72c | 809 | 327 |
| 5a08b680 | 808 | 311 |
| b1ff5dbb | 808 | 305 |
| b8ae5336 | 808 | 62 |
| fae0bc69 | 808 | 270 |
| 0af4ee21 | 808 | 147 |
| c663e801 | 808 | 349 |
| 76608bee | 808 | 251 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| fd56480a | 808 | 332 |
| 228949bd | 808 | 140 |
| ba92804 | 808 | 35 |
| 6fe17d57 | 807 | 236 |
| LZ150_2b80a9db | 807 | 9266 |
| 4634d903 | 807 | 382 |
| 5d001b23 | 807 | 71 |
| 38b2b2b8 | 807 | 409 |
| LZ162_67742f28 | 807 | 5456 |
| c5462adb | 807 | 108 |
| b7381492 | 807 | 307 |
| da450043 | 807 | 369 |
| LZ161_b0841a68 | 807 | 2368 |
| c6959c9b | 807 | 266 |
| 233f435c | 806 | 118 |
| 5e1014c1 | 806 | 54 |
| 395bb465 | 806 | 279 |
| dafef72f | 806 | 49 |
| 653a18e5 | 806 | 321 |
| 0921330e | 806 | 245 |
| 704fae3a | 806 | 149 |
| fec8b7c4 | 805 | 409 |
| 4f534308 | 804 | 124 |
| e92f69b9 | 804 | 325 |
| e13b0919 | 804 | 317 |
| 5667870 | 804 | 26 |
| b3a3804c | 804 | 323 |
| 88ccb0fa | 804 | 397 |
| 03b8dc36 | 803 | 322 |
| dd87a269 | 803 | 153 |
| be8b358e | 803 | 200 |
| ef04e504 | 803 | 375 |
| b2c99aec | 803 | 254 |
| LZ149_5839eb77 | 803 | 1251 |
| b49ffca8 | 802 | 360 |
| 7a3033c2 | 802 (±91) | 47 |
| 17fc540f | 802 | 343 |
| da78b580 | 801 | 334 |
| 6f3c8492 | 801 | 296 |
| 7089af91 | 801 | 273 |
| 0acbb51a | 801 | 344 |
| d5930366 | 800 | 126 |
| a4c9f57f | 800 | 333 |
| e0d2cc1a | 799 | 353 |
| 97b3c412 | 799 | 129 |
| cc4282dc | 799 | 271 |
| 07ec387b | 799 | 211 |
| 1c565924 | 799 | 314 |
| 46656616 | 799 | 74 |
| 33ab28a2 | 799 | 51 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 7a8a0c1a | 798 | 290 |
| LZ151_672342b5 | 798 | 1176 |
| 46ad1b10 | 798 | 96 |
| LZ152_12692a83 | 798 | 3230 |
| 37a9ccc5 | 798 | 258 |
| d12eed8b | 798 | 61 |
| 0c004c40 | 797 | 365 |
| 08620980 | 797 | 212 |
| 67d48b0d | 797 | 274 |
| 479149b6 | 797 | 286 |
| 1adbb4d1 | 797 | 87 |
| cd187667 | 797 | 85 |
| c330508 | 797 (±110) | 13 |
| 8ac7a1a0 | 797 | 126 |
| fb3bd94a | 796 | 54 |
| LZ12_eebb910d | 796 | 122 |
| 3f7e32fb | 796 | 222 |
| abc25bea | 796 | 255 |
| 3e0946c5 | 796 | 125 |
| f2256b7c | 796 | 149 |
| ab8a4ebe | 796 | 212 |
| 7ae0b679 | 796 | 345 |
| 621727ca | 795 | 301 |
| acc404ce | 795 | 303 |
| 7817e236 | 795 | 239 |
| 4327f2d5 | 795 | 126 |
| 5b59a018 | 795 | 430 |
| 2cbc6ab8 | 795 | 176 |
| 71326ff6 | 795 | 257 |
| c78c99f0 | 795 | 204 |
| f0be3dde | 794 | 64 |
| 2bced15d | 794 | 327 |
| 409649b4 | 793 | 111 |
| d04ac7ef | 793 | 264 |
| 0ddef953 | 793 | 413 |
| a00a8bc1 | 793 | 78 |
| 800fe735 | 793 | 203 |
| LZ148_d0187996 | 792 | 12535 |
| LZ128_158603eb | 792 | 6359 |
| e708f64d | 792 | 52 |
| 348854bc | 792 | 285 |
| LZ75_66650b15 | 792 | 376 |
| df877fcf | 792 | 119 |
| 7e079dfc | 792 | 319 |
| eade66ff | 791 | 260 |
| c9306917 | 791 | 79 |
| 2f5ee500 | 791 | 99 |
| 0c0ed467 | 791 | 132 |
| 037da75c | 791 | 98 |
| f1923505 | 791 | 83 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| e060ab95 | 791 | 120 |
| be56f8ee | 791 | 340 |
| 5a851e5b | 790 | 328 |
| aa3ab11a | 790 | 117 |
| ea61a9d2 | 790 | 132 |
| 2c23c44f | 790 | 107 |
| 20b39d42 | 790 | 343 |
| 08de7351 | 789 | 139 |
| 67158c8c | 789 | 308 |
| 46e57f31 | 789 | 88 |
| 1ba6731d | 789 | 214 |
| ee8b18f7 | 789 | 401 |
| c4d760da | 788 | 199 |
| b5966a0c | 788 | 145 |
| f6e2f210 | 788 | 66 |
| 7aa6918b | 788 | 314 |
| 3a7d741d | 788 | 113 |
| a657f79f | 788 | 246 |
| e03d2a8c | 788 (±119) | 42 |
| 18ceeb8a | 788 | 414 |
| 0019d17f | 788 | 114 |
| 3e015836 | 788 | 251 |
| 1786fd1c | 788 | 192 |
| b810fe82 | 787 | 74 |
| d13dddda | 787 | 319 |
| 8654829d | 787 | 271 |
| bf7edc4f | 787 | 163 |
| dda34934 | 787 | 417 |
| 80859f8b | 787 | 230 |
| 3d0f1627 | 787 | 195 |
| 0aa3aa3a | 787 | 86 |
| efbdc20 | 787 (±128) | 10 |
| 331751a3 | 787 | 91 |
| 8c330508 | 786 | 61 |
| 0696c862 | 786 | 67 |
| aa689e24 | 786 | 160 |
| df6c6c4b | 786 | 233 |
| 5c907c4b | 786 | 233 |
| a374fd67 | 786 | 300 |
| 562dcc27 | 785 | 120 |
| 4cde7e7d | 785 | 99 |
| 9c54d33f | 785 | 335 |
| 484badd1 | 785 | 213 |
| 1467db4c | 785 | 170 |
| d3f80609 | 785 | 48 |
| b145fcc2 | 785 | 48 |
| f4a31c8b | 785 | 299 |
| a07be14a | 784 | 293 |
| 29711d4d | 784 | 49 |
| e760393b | 784 | 289 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 9277d3fe | 784 | 221 |
| 1c762265 | 784 | 402 |
| 066e3ec5 | 784 | 186 |
| a41ad01f | 784 | 63 |
| 2f3be78b | 784 | 225 |
| ffd870d3 | 783 | 134 |
| 833f3778 | 783 | 87 |
| 8bcc2c0b | 783 | 127 |
| 63a59684 | 783 | 83 |
| 60d850be | 782 | 112 |
| db6c5f0c | 782 | 110 |
| 55938c62 | 782 | 411 |
| 25a8d08d | 782 | 103 |
| ceba7884 | 782 | 287 |
| a2b8f73f | 782 | 271 |
| f04a4d8a | 782 | 266 |
| e4fbba38 | 782 | 148 |
| 855696a4 | 781 | 118 |
| cfc9ca01 | 781 | 135 |
| 6e7de28f | 781 | 286 |
| ebb41066 | 781 | 182 |
| 6f1602f8 | 781 | 219 |
| c28a42a8 | 780 | 423 |
| e1c0bec5 | 779 | 235 |
| 8913bff0 | 779 | 283 |
| 731f888f | 779 | 150 |
| bae38df4 | 779 | 275 |
| 3d8ee899 | 779 | 1251 |
| b7532f68 | 778 | 399 |
| 98c4b53c | 778 | 420 |
| 02f945ad | 777 | 67 |
| 6e57f31 | 777 (±164) | 6 |
| 41b20a08 | 777 | 250 |
| 8db5c779 | 777 | 385 |
| 78c5dd85 | 777 | 243 |
| fe9a462b | 777 | 252 |
| 90c39abb | 777 | 50 |
| 68032c31 | 777 | 122 |
| bf71c535 | 777 | 393 |
| 9b5da154 | 776 (±86) | 26 |
| bcae8f58 | 776 | 47 |
| 7049c6b4 | 776 | 86 |
| 0a495155 | 776 (±119) | 45 |
| 9e36df48 | 776 | 390 |
| 594f3299 | 776 | 231 |
| 25e873e8 | 776 | 415 |
| c9b889c6 | 775 | 236 |
| 4a9dc765 | 775 | 303 |
| 21f3ae19 | 775 | 362 |
| 4b90a27e | 775 | 214 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 6938cfbc | 774 | 164 |
| 715a1e43 | 774 | 131 |
| 4ffcadc8 | 774 | 58 |
| 72be8f7f | 774 | 97 |
| ec338fcc | 773 | 262 |
| fc7e0f49 | 773 | 251 |
| ac02fba | 773 (±98) | 17 |
| 2d17ad61 | 773 | 263 |
| f7c7cc8f | 773 | 103 |
| c9dded00 | 773 | 267 |
| 794ff7ad | 772 | 96 |
| 52ea0724 | 772 | 245 |
| 95b2bfab | 772 | 440 |
| d96ee777 | 772 (±119) | 46 |
| 6760da03 | 772 (±119) | 46 |
| 0a1cfb1b | 772 (±119) | 46 |
| 87329fda | 772 (±119) | 46 |
| 1cfd51b8 | 771 | 95 |
| 879602c1 | 771 | 256 |
| 6a3d6a6a | 771 | 372 |
| 9922e314 | 771 | 256 |
| 784ea3c6 | 770 | 363 |
| f542d6fa | 770 | 280 |
| 96bdbc99 | 770 | 295 |
| LZ0_d645af97 | 769 | 103 |
| LZ158_dc011d01 | 769 | 937 |
| ead5dc37 | 769 | 277 |
| c946fe80 | 769 | 98 |
| 325e1c1f | 769 | 83 |
| ff0eb83b | 769 | 248 |
| f708ed48 | 768 (±119) | 47 |
| cd9552cb | 768 (±119) | 47 |
| d1f1311f | 768 | 363 |
| 78dc278f | 768 | 406 |
| 9b05da1e | 768 | 125 |
| 7f26ce86 | 768 | 38 |
| 41582abb | 768 | 251 |
| 632036eb | 767 | 246 |
| b7f840b1 | 767 | 56 |
| f775ae3b | 767 | 255 |
| be799bc1 | 766 | 69 |
| 262369d5 | 766 | 373 |
| 1e0a5e4e | 766 | 397 |
| 60f8fde | 766 (±90) | 19 |
| 948fb4a3 | 766 | 161 |
| 1b4cc270 | 766 | 364 |
| a69eb602 | 765 | 72 |
| 378d35b0 | 765 | 122 |
| 96d0a7da | 765 | 239 |
| a7503a81 | 765 | 134 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| cd4f6aac | 765 (±82) | 51 |
| 6b60c753 | 764 | 43 |
| e6d6365f | 764 | 335 |
| b4702aee | 764 | 86 |
| 9b861cf0 | 764 | 357 |
| 04353527 | 764 | 69 |
| c8f26796 | 764 | 142 |
| 60874666 | 764 | 227 |
| 0fb88362 | 764 | 220 |
| 5acbb18a | 764 | 53 |
| e191dc42 | 763 | 80 |
| c1e8e611 | 763 | 76 |
| 7f95fbe0 | 763 | 230 |
| eda634f1 | 763 | 110 |
| dc79c870 | 762 | 733 |
| c7794deb | 762 | 107 |
| 5ac88568 | 761 | 96 |
| LZ145_b69158ea | 761 | 6141 |
| d28b5261 | 761 (±119) | 49 |
| 7bf5e3d5 | 761 | 75 |
| 3a59684 | 761 (±166) | 5 |
| 2db4119a | 761 | 393 |
| LZ147_10bc1042 | 761 | 6615 |
| 2fe8963a | 761 | 137 |
| 43f4feac | 761 | 175 |
| 92428f22 | 760 | 313 |
| b876ddf3 | 760 | 367 |
| f5b4d2d1 | 760 | 57 |
| a61ed2ae | 760 | 126 |
| ee179d6 | 760 (±125) | 12 |
| ad9e1880 | 760 | 94 |
| LZ129_cfb2ce28 | 759 | 4218 |
| 58eb9bb0 | 759 | 96 |
| 2c71ad0d | 759 | 66 |
| 7225c0d2 | 759 | 203 |
| 0801a50d | 759 | 312 |
| 07cd4160 | 759 | 376 |
| b7d4dcf5 | 759 | 347 |
| 5d34c028 | 758 | 98 |
| 13461ec2 | 757 | 53 |
| 513eae93 | 757 | 80 |
| 9bf483b2 | 756 | 70 |
| 38f21868 | 756 | 71 |
| LZ15_a0d3531f | 756 | 36 |
| a6d3fe29 | 755 | 381 |
| 972785e5 | 755 | 182 |
| 09c59eee | 754 (±82) | 47 |
| fda25947 | 754 | 317 |
| 88834f60 | 754 | 76 |
| bedae0e4 | 754 | 311 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 4bd61a6d | 754 | 261 |
| 614cfed2 | 754 | 89 |
| 3ba66dac | 753 | 115 |
| c6ea233 | 753 (±108) | 14 |
| d1516b8a | 753 | 57 |
| 58fb53ab | 753 | 316 |
| 5dedc15c | 752 | 316 |
| fbfd0d57 | 752 | 152 |
| 315ad276 | 752 | 109 |
| daba2b4d | 752 | 69 |
| LZ146_0cb74be2 | 751 | 1241 |
| 639cac88 | 751 | 57 |
| ecd7439f | 751 | 184 |
| 65ac8d71 | 751 | 141 |
| ab28ca69 | 751 | 83 |
| 756542bf | 751 | 436 |
| 3e112b97 | 751 | 310 |
| c2a13b9e | 750 | 96 |
| a4520926 | 750 | 81 |
| 4dd0c89a | 750 | 118 |
| 748394d | 750 (±161) | 7 |
| fd6ec403 | 750 | 305 |
| b6ad5de5 | 749 | 79 |
| 8ce10c3b | 749 | 189 |
| 15d07698 | 749 | 105 |
| 8d7886bf | 748 (±101) | 48 |
| f4e526d9 | 748 | 320 |
| 8c4ea2fb | 748 | 114 |
| LZ144_9e882e52 | 747 | 6206 |
| 90a80b3b | 747 (±91) | 33 |
| 6f7beb74 | 747 | 68 |
| 166c094 | 746 (±93) | 24 |
| 84adfeab | 745 | 281 |
| 3cb2ef9c | 745 | 62 |
| d6c2d9e8 | 744 (±101) | 49 |
| 57deb832 | 744 | 70 |
| 5748394d | 743 | 99 |
| 8693bc77 | 743 | 49 |
| a063cad6 | 742 | 277 |
| 842504db | 742 | 118 |
| dfa1e4c6 | 741 | 58 |
| 11f67305 | 741 | 86 |
| 0da14835 | 741 | 71 |
| f7b65b61 | 741 | 420 |
| 2f5693cd | 740 | 329 |
| c94e1499 | 740 | 388 |
| 08db0d4e | 740 | 158 |
| efb40ac0 | 740 | 149 |
| f44d07a9 | 740 | 284 |
| 21016190 | 739 | 89 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 9e8b4ffd | 738 | 164 |
| LZ143_057adf2c | 738 | 1724 |
| 812cd383 | 737 | 240 |
| 82f2f038 | 736 | 399 |
| fb01adbb | 736 | 71 |
| e2babbbe | 735 | 99 |
| 5f657e7d | 735 (±82) | 52 |
| efa07d1f | 735 | 50 |
| d5d8b658 | 734 | 411 |
| 58f9c367 | 734 | 72 |
| 3ef82227 | 734 | 404 |
| 95a7733b | 734 | 427 |
| 188db0d2 | 733 | 224 |
| d9a39ed9 | 733 | 86 |
| 90ebe888 | 733 | 338 |
| 4cca4689 | 732 | 346 |
| b7a9ce69 | 732 | 264 |
| 4a6d81f1 | 732 | 83 |
| 27131140 | 732 | 260 |
| 2f453285 | 730 | 405 |
| db662fde | 730 | 71 |
| a15c3e5c | 729 | 109 |
| b40ee3d5 | 729 | 92 |
| 610cf48a | 729 | 48 |
| 7fe5fd03 | 729 | 147 |
| 9044c17b | 729 (±101) | 45 |
| d228ef51 | 728 | 145 |
| 22bfcf82 | 727 | 357 |
| bd08cfd4 | 727 | 197 |
| 342bda14 | 726 | 247 |
| 769e286e | 726 | 67 |
| d99ec0ab | 725 | 52 |
| 8f4893d5 | 724 | 106 |
| 663b91b4 | 724 | 370 |
| d1279609 | 724 | 72 |
| 1827631 | 724 (±162) | 6 |
| 24493eaa | 724 | 157 |
| e82758c5 | 724 (±80) | 50 |
| 33288cb1 | 723 | 162 |
| 4a6e70cc | 723 | 263 |
| fc2a96e2 | 723 | 381 |
| LZ130_18e6a6c5 | 722 | 3547 |
| 197fda86 | 722 | 76 |
| 5b4f640d | 722 | 73 |
| 25995e6a | 721 | 211 |
| 1a14c9e5 | 720 | 304 |
| 47669b32 | 719 | 171 |
| 6e887fe3 | 719 | 45 |
| LZ132_3737d7ce | 719 | 1083 |
| bf00370e | 719 | 106 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 4d83a146 | 719 | 295 |
| d987c1c9 | 719 | 364 |
| 22ea3b1b | 718 | 319 |
| a1645268 | 718 | 214 |
| 39772af9 | 717 | 144 |
| fd8b8d04 | 717 | 387 |
| aabffe26 | 717 | 41 |
| e19d000a | 716 | 75 |
| 8304216b | 716 | 259 |
| e071b7b1 | 715 | 381 |
| 5166c094 | 715 | 39 |
| f1b30f9a | 715 | 68 |
| 2e029b9e | 715 | 88 |
| f23004c9 | 715 | 54 |
| 84fd0b8b | 715 | 217 |
| 9ee6ab54 | 715 | 352 |
| LZ142_7c6588ce | 714 | 3426 |
| 746263a4 | 714 | 97 |
| 301bd947 | 714 | 96 |
| a1f1389f | 714 | 124 |
| bdf8f6be | 713 | 71 |
| LZ141_11057dd7 | 713 | 2482 |
| 3adcf0cb | 712 | 80 |
| efb3f7be | 711 | 271 |
| 2e6ee748 | 710 (±89) | 48 |
| LZ140_521b0868 | 709 | 1194 |
| b32fb7d1 | 707 | 67 |
| d87807f7 | 707 | 215 |
| 3764cfc9 | 707 (±83) | 37 |
| LZ131_ecab83bb | 707 | 3364 |
| 35cda2db | 707 | 54 |
| b57ead3f | 706 | 336 |
| fccd087e | 705 | 301 |
| 73a12e72 | 705 | 834 |
| 921dd46f | 705 | 194 |
| 8cd6c82c | 705 | 287 |
| LZ133_4be6f310 | 705 | 859 |
| 74326472 | 705 | 59 |
| f7d2595e | 704 | 287 |
| d5b7aec3 | 703 | 201 |
| 32aa7140 | 703 | 126 |
| 0f40a731 | 703 | 74 |
| 487f45c1 | 703 | 66 |
| d35eb7f8 | 703 | 60 |
| b670706d | 701 | 69 |
| c61fca3d | 701 | 414 |
| 50204c96 | 701 | 133 |
| LZ139_a39b64cc | 701 | 2707 |
| c41daa7c | 701 | 275 |
| b243c1a8 | 700 | 333 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 1982b385 | 700 | 76 |
| db040679 | 700 | 183 |
| 8ea885ec | 699 | 78 |
| 1f37d83b | 699 | 70 |
| b29de6f6 | 699 | 101 |
| d26eaec0 | 698 | 271 |
| e340286c | 697 | 186 |
| 1b279382 | 697 | 192 |
| 417d7ce0 | 697 | 52 |
| f382691e | 696 | 391 |
| c1344b20 | 696 | 78 |
| d56d3d70 | 696 | 53 |
| cb3db088 | 694 | 286 |
| ec4fa41f | 694 | 110 |
| 6407b440 | 693 | 117 |
| f2cb6bcf | 693 | 79 |
| 2282afee | 692 | 219 |
| 0d658b4 | 691 (±88) | 27 |
| b308fb24 | 691 | 87 |
| 4b622d2e | 691 | 114 |
| f8c7026f | 690 | 88 |
| d7e9494d | 690 | 87 |
| b7f54a1 | 689 (±158) | 8 |
| LZ134_2fb02cfe | 689 | 1151 |
| e3654ad6 | 688 | 119 |
| 424208a5 | 688 | 203 |
| dab1e8c3 | 688 | 420 |
| 2348a46c | 687 | 81 |
| fa06d5a5 | 687 | 153 |
| 006772ff | 687 | 170 |
| cfa89230 | 686 | 66 |
| 046f2ed9 | 685 | 54 |
| d3f3737f | 684 | 63 |
| 1c50b220 | 684 | 386 |
| 7f42a6ec | 683 | 104 |
| b77e48ee | 682 | 834 |
| 51da0063 | 682 | 319 |
| LZ138_d8214630 | 682 | 1231 |
| 033825a4 | 682 | 69 |
| 4b0dff47 | 682 | 158 |
| e9e6f056 | 681 | 435 |
| de7c403b | 681 | 99 |
| 61940fd0 | 681 | 87 |
| LZ135_05b723d0 | 681 | 2493 |
| 61225a9a | 681 (±117) | 48 |
| e4ff44fc | 681 | 117 |
| aaf68309 | 681 | 62 |
| e3a1ddcb | 680 | 349 |
| 65c25d41 | 680 (±89) | 47 |
| 16e81b8a | 679 | 213 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| d0a8647e | 679 | 376 |
| f1f3deb4 | 679 | 50 |
| 77adb988 | 679 | 72 |
| 6bc0a66b | 678 | 84 |
| 7634179d | 678 | 362 |
| a625d8e8 | 678 | 255 |
| ca6d7da8 | 678 | 57 |
| 353827e6 | 678 | 55 |
| f209b9a7 | 678 | 387 |
| 5669dc80 | 677 | 411 |
| 6087aa21 | 677 (±117) | 49 |
| 72dc0562 | 677 | 357 |
| 44c5ff0a | 677 | 299 |
| 55a8ca4d | 677 | 48 |
| 3257622 | 676 (±103) | 24 |
| e3dcfa36 | 676 | 64 |
| 39bcc4d3 | 676 | 65 |
| b53a6819 | 675 | 134 |
| 546ad2bf | 675 | 140 |
| 8ae12a4a | 675 | 389 |
| 46b1d9ad | 674 | 190 |
| 4183dce9 | 674 | 358 |
| 1b5ba119 | 674 | 80 |
| bd50b109 | 673 | 92 |
| 66f6743a | 673 | 377 |
| 79a4e7d | 672 (±136) | 10 |
| 1655b4a2 | 672 | 110 |
| eca70e04 | 672 (±100) | 45 |
| 7718e428 | 672 | 243 |
| 7db0f2b3 | 671 (±150) | 45 |
| ced9d378 | 671 | 148 |
| abb45125 | 671 | 356 |
| 1a5d75e1 | 671 | 97 |
| f48c70d9 | 671 | 54 |
| 8bac1f2f | 671 | 51 |
| c18d1a35 | 671 | 66 |
| 468b6bb0 | 670 | 153 |
| 29277585 | 670 | 121 |
| f225c91e | 670 | 111 |
| c1c5b048 | 670 | 89 |
| 0cf11df7 | 669 | 377 |
| 29aa333c | 668 (±150) | 46 |
| 336c6588 | 668 | 381 |
| 6c6526f0 | 667 | 347 |
| aabf074e | 666 | 365 |
| a081b17b | 666 | 93 |
| 248a675a | 665 (±90) | 50 |
| 64a0e9df | 664 | 59 |
| a9a95a7a | 664 | 87 |
| LZ137_90560d92 | 664 | 4063 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 6d5dc41b | 664 (±150) | 47 |
| 9efd104d | 664 (±150) | 47 |
| e062e3b3 | 664 | 94 |
| 340468d9 | 664 (±100) | 47 |
| da91b8d6 | 663 (±82) | 42 |
| 23bd4b42 | 662 (±118) | 10 |
| d41fb21a | 662 | 50 |
| 76813b91 | 662 | 84 |
| 613ae966 | 661 | 221 |
| LZ136_b6337c69 | 661 | 7090 |
| 9bf20a53 | 660 (±150) | 48 |
| 0cd26764 | 660 (±150) | 48 |
| 66cdeb92 | 660 | 96 |
| 786a316a | 660 | 44 |
| 417efd19 | 659 | 228 |
| ebb8644a | 659 | 57 |
| 66b3d1fb | 658 | 65 |
| e61a8baa | 658 | 64 |
| 58eaece6 | 657 | 314 |
| 8c8ae058 | 657 (±150) | 49 |
| a92a0904 | 656 | 107 |
| bae7148c | 656 | 301 |
| d7fa1517 | 655 | 336 |
| e710ebf | 654 (±154) | 11 |
| 71426b8 | 654 (±154) | 11 |
| 8f77818d | 654 | 67 |
| 5f69b2cd | 653 | 195 |
| 8e1d6f0b | 653 | 75 |
| 521e2944 | 652 | 72 |
| f60e87c8 | 652 | 67 |
| 00b9281c | 652 | 284 |
| 9887ff0e | 651 | 302 |
| 6499e45a | 650 | 64 |
| c10ef104 | 647 | 86 |
| f092dbda | 647 | 53 |
| 3e1cba5f | 647 (±150) | 52 |
| 3b33dc5c | 645 | 325 |
| bf2810a4 | 645 | 79 |
| 1c4a0679 | 644 | 70 |
| 24682392 | 644 | 293 |
| 18ddf552 | 644 | 236 |
| 2c6de112 | 643 | 102 |
| 5dc71294 | 643 | 84 |
| 38126ba5 | 642 (±99) | 53 |
| e28103be | 640 (±83) | 50 |
| 0c77d215 | 640 | 72 |
| b9cdc95a | 640 | 265 |
| bd56e8b0 | 640 | 65 |
| f701a923 | 639 | 77 |
| 3e362cb0 | 639 | 265 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 2f2e2b82 | 639 | 67 |
| 9ba723a4 | 638 | 51 |
| b3bdb718 | 638 | 76 |
| 2d910342 | 636 | 177 |
| ff2306f7 | 636 | 74 |
| de8b9361 | 635 | 83 |
| 8154b42a | 635 | 69 |
| e671f6c4 | 635 (±101) | 33 |
| 68e11082 | 634 | 153 |
| f1f300c8 | 630 | 79 |
| eed5a678 | 629 | 134 |
| 6b036141 | 627 | 86 |
| 655a3f36 | 627 | 71 |
| f3d85364 | 626 | 86 |
| c43779c2 | 625 (±80) | 66 |
| 8ad3f079 | 624 | 66 |
| db6132d9 | 623 | 72 |
| ca2ea28c | 623 | 107 |
| 4a755f76 | 623 (±82) | 43 |
| d401f49b | 622 (±82) | 55 |
| 669b95aa | 622 | 88 |
| 09135041 | 621 | 85 |
| a0a20065 | 620 | 270 |
| 235711ad | 619 | 84 |
| e19a6950 | 618 | 77 |
| 2cee1384 | 618 | 166 |
| 8ac56c1c | 618 | 67 |
| 1394f81e | 617 | 171 |
| 094253be | 617 (±116) | 42 |
| 47fedc3b | 615 (±116) | 49 |
| 1f2e6ed4 | 613 (±174) | 5 |
| eba15a3c | 612 (±116) | 43 |
| 4ac063bf | 612 (±81) | 57 |
| a4ad8551 | 612 | 62 |
| 9aeac1f7 | 612 | 168 |
| b91db854 | 610 (±117) | 36 |
| 93c0c6c0 | 608 (±80) | 62 |
| 6d2e925f | 605 | 64 |
| b67b46c4 | 605 | 77 |
| d62f9251 | 604 (±116) | 45 |
| 5277ca9b | 603 | 74 |
| a39e666c | 600 | 130 |
| e1d6f0b | 599 (±118) | 24 |
| a7bde588 | 598 | 64 |
| 5ed28bfa | 598 | 64 |
| 3109d1c1 | 598 | 64 |
| 92995cb2 | 598 (±81) | 49 |
| 3efbdc20 | 598 | 97 |
| 04db4678 | 596 (±116) | 47 |
| f8602bb3 | 596 (±116) | 47 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| f9550af5 | 596 | 60 |
| c5ba350e | 596 | 63 |
| f7a8a87d | 596 | 81 |
| c60c525b | 593 (±99) | 45 |
| 71d3c27b | 592 | 66 |
| 5abf8d98 | 591 (±99) | 42 |
| 22fa14db | 589 | 80 |
| a3ed1add | 589 (±83) | 54 |
| c8349d73 | 586 | 69 |
| e4b8a51d | 586 | 61 |
| d5013763 | 582 | 64 |
| ccad06b2 | 582 (±89) | 55 |
| fb1a8a87 | 580 (±148) | 47 |
| 51b657d6 | 574 (±99) | 46 |
| b741722a | 573 | 56 |
| 40281c54 | 573 | 53 |
| 6dd19f13 | 573 | 53 |
| bd1ba370 | 570 (±80) | 57 |
| f2cab9c2 | 569 (±90) | 52 |
| 2acd6d7c | 567 | 80 |
| 032017e0 | 567 (±117) | 33 |
| 35aa3d51 | 566 | 70 |
| e690f802 | 563 (±116) | 34 |
| 35254013 | 561 | 83 |
| 9a427016 | 560 | 92 |
| 0de63f4f | 557 (±88) | 62 |
| f37a584b | 557 | 33 |
| 2e710ebf | 555 (±88) | 61 |
| 67279c53 | 553 (±99) | 56 |
| ac293861 | 552 | 64 |
| 28576c2e | 552 (±99) | 52 |
| 2a348bb7 | 543 | 54 |
| de3d8758 | 543 | 149 |
| ad1361a3 | 540 (±99) | 40 |
| ae048dd2 | 538 (±88) | 54 |
| 38f24ebe | 538 | 63 |
| c0aa4acb | 533 | 87 |
| a29ca9b3 | 533 (±98) | 54 |
| 5019a1ca | 530 (±88) | 57 |
| ea5163c9 | 529 | 124 |
| 6f8d9779 | 528 (±82) | 53 |
| 245318b | 526 (±264) | 5 |
| f9bb3938 | 523 (±87) | 59 |
| d84380e7 | 522 (±87) | 82 |
| 0f1e1c66 | 522 (±87) | 60 |
| aed8d0d5 | 521 (±148) | 45 |
| 947c909d | 517 | 59 |
| 90acacc7 | 515 (±84) | 45 |
| 4ade1e6a | 512 | 63 |
| b60914c9 | 511 (±98) | 76 |
| Model |
Rating
We use python choix to calculate bradley-terry model ratings then multiplying by 400 / ln(10) to approximate elo
|
Games |
|---|---|---|
| 0ee30d05 | 508 | 73 |
| d882c042 | 506 (±83) | 50 |
| 13b07e76 | 505 (±98) | 56 |
| 0beefb87 | 502 (±99) | 50 |
| d1c1d6e2 | 499 (±98) | 72 |
| adb53585 | 498 | 62 |
| 62f75178 | 497 (±82) | 37 |
| 8c7941f0 | 496 (±147) | 46 |
| cae5f48 | 494 (±264) | 4 |
| 277a45ea | 491 (±87) | 69 |
| 1eae1d79 | 488 (±115) | 57 |
| 66470b49 | 485 (±90) | 50 |
| 28f795b4 | 485 (±98) | 70 |
| 4937cbae | 469 (±90) | 49 |
| ba1ca39c | 468 | 97 |
| cfd51b8 | 467 (±262) | 6 |
| 190cdfd2 | 455 (±114) | 64 |
| 9cd258cd | 442 (±115) | 49 |
| ff1b71ee | 440 (±90) | 54 |
| d2e08404 | 435 (±98) | 72 |
| ff181e26 | 431 (±100) | 46 |
| 4f666eec | 424 (±147) | 37 |
| 9362ea9a | 418 (±115) | 53 |
| 267a3cae | 416 (±100) | 50 |
| d9c331c5 | 415 (±147) | 39 |
| eafc9e2e | 413 (±100) | 56 |
| d1b8718f | 401 (±100) | 54 |
| 4a987470 | 398 (±258) | 45 |
| 0c85b0d8 | 394 (±258) | 46 |
| 41b5a40d | 391 (±258) | 47 |
| 530e1c22 | 391 (±258) | 47 |
| 34d28c30 | 387 (±258) | 48 |
| fab6aa84 | 384 (±258) | 49 |
| c7e5704b | 355 (±114) | 78 |
| 39c64ce0 | 352 (±117) | 46 |
| b289449e | 330 (±116) | 52 |
| 0c63ffb6 | 250 (±256) | 39 |
| 411445cc | 222 (±256) | 46 |
| 67fa5349 | 0 (±255) | 69 |