Official Event Results
2025 Hill Country Turkey Trot
Event Date
11/27/2025
Races
1
Result Rows
420
Split Rows
840
Entered
420
Finishers
420
Fastest Time
17:17
Average Time
35:27
| Place | Race No | Name | Gender | Division | Time | Chip Time | Pace | City | State | Details |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 14 | Male | 14-18 | 17:17.5 | 16:14.7 | |||||
| 2 | 1 | Male | 14-18 | 17:50.9 | 16:48.7 | |||||
| 3 | 21 | Male | 14-18 | 18:02.1 | 16:59.9 | |||||
| 4 | 470 | Male | 14-18 | 18:45.8 | 17:43.1 | |||||
| 5 | 288 | Male | 14-18 | 18:49.9 | 17:47.6 | |||||
| 6 | 25 | Male | 19-29 | 18:54.6 | 17:51.7 | |||||
| 7 | 319 | Male | 14-18 | 19:02.4 | 17:59.1 | |||||
| 8 | 176 | Male | 19-29 | 19:07.9 | 18:02.9 | |||||
| 9 | 477 | Male | 40-49 | 19:11.4 | 18:08.2 | |||||
| 10 | 70 | Male | 40-49 | 19:17.5 | 18:11.5 | |||||
| 11 | 221 | Male | 30-39 | 19:27.6 | 18:23.9 | |||||
| 12 | 187 | Male | 40-49 | 19:29.9 | 18:24.3 | |||||
| 13 | 153 | Male | 14-18 | 19:34.2 | 18:31.0 | |||||
| 14 | 320 | Female | 19-29 | 19:40.1 | 18:37.0 | |||||
| 15 | 172 | Male | 14-18 | 19:49.6 | 18:45.5 | |||||
| 16 | 117 | Male | 30-39 | 19:56.7 | 18:51.9 | |||||
| 17 | 111 | Male | 14-18 | 20:14.0 | 19:10.2 | |||||
| 18 | 121 | Male | 50-59 | 20:15.6 | 19:11.7 | |||||
| 19 | 220 | Female | 30-39 | 20:40.1 | 19:36.1 | |||||
| 20 | 98 | Male | 14-18 | 21:50.6 | 19:46.7 | |||||
| 21 | 169 | Male | 40-49 | 20:51.9 | 19:48.3 | |||||
| 22 | 190 | Female | 14-18 | 21:00.8 | 19:58.3 | |||||
| 23 | 471 | Male | 14-18 | 21:06.3 | 20:03.9 | |||||
| 24 | 191 | Female | 10-13 | 21:07.6 | 20:05.1 | |||||
| 25 | 422 | Male | 14-18 | 21:11.6 | 20:08.1 | |||||
| 26 | 344 | Male | 50-59 | 21:14.6 | 20:09.2 | |||||
| 27 | 2 | Male | 19-29 | 21:22.9 | 20:18.2 | |||||
| 28 | 326 | Male | 14-18 | 21:21.7 | 20:18.8 | |||||
| 29 | 123 | Male | 50-59 | 21:27.5 | 20:21.9 | |||||
| 30 | 440 | Male | 40-49 | 21:37.1 | 20:32.0 | |||||
| 31 | 300 | Male | 14-18 | 22:43.1 | 20:34.2 | |||||
| 32 | 352 | Male | 30-39 | 21:41.5 | 20:36.6 | |||||
| 33 | 35 | Male | 19-29 | 21:50.1 | 20:39.3 | |||||
| 34 | 38 | Male | 40-49 | 21:45.5 | 20:41.0 | |||||
| 35 | 433 | Female | 14-18 | 21:44.1 | 20:41.1 | |||||
| 36 | 343 | Male | 30-39 | 21:53.1 | 20:42.8 | |||||
| 37 | 231 | Male | 14-18 | 22:57.3 | 20:51.7 | |||||
| 38 | 222 | Male | 50-59 | 21:57.3 | 20:53.5 | |||||
| 39 | 128 | Female | 19-29 | 22:04.3 | 20:57.7 | |||||
| 40 | 160 | Female | 30-39 | 22:07.2 | 20:58.7 | |||||
| 41 | 120 | Female | 19-29 | 22:09.3 | 21:04.2 | |||||
| 42 | 76 | Male | 40-49 | 22:20.5 | 21:15.7 | |||||
| 43 | 141 | Male | 19-29 | 22:34.0 | 21:24.3 | |||||
| 44 | 332 | Male | 14-18 | 22:42.7 | 21:36.3 | |||||
| 45 | 324 | Male | 14-18 | 22:43.9 | 21:37.8 | |||||
| 46 | 18 | Male | 14-18 | 23:53.7 | 21:47.4 | |||||
| 47 | 258 | Male | 14-18 | 24:40.6 | 21:50.4 | |||||
| 48 | 135 | Male | 10-13 | 21:57.8 | 21:54.2 | |||||
| 49 | 215 | Male | 10-13 | 21:59.7 | 21:56.0 | |||||
| 50 | 241 | Male | 30-39 | 23:08.0 | 21:57.7 | |||||
| 51 | 213 | Male | 14-18 | 23:06.5 | 21:58.2 | |||||
| 52 | 86 | Male | 10-13 | 23:08.5 | 22:02.5 | |||||
| 53 | 381 | Male | 14-18 | 24:21.3 | 22:04.4 | |||||
| 54 | 119 | Female | 14-18 | 23:10.5 | 22:04.8 | |||||
| 55 | 364 | Male | 10-13 | 23:13.7 | 22:11.5 | |||||
| 56 | 26 | Male | 50-59 | 23:32.6 | 22:20.4 | |||||
| 57 | 164 | Female | 14-18 | 25:04.3 | 22:22.4 | |||||
| 58 | 102 | Female | 10-13 | 24:35.3 | 22:27.1 | |||||
| 59 | 407 | Female | 30-39 | 23:34.3 | 22:28.2 | |||||
| 60 | 186 | Male | 14-18 | 24:33.7 | 22:28.3 | |||||
| 61 | 451 | Male | 19-29 | 23:42.3 | 22:37.7 | |||||
| 62 | 194 | Male | 19-29 | 24:53.3 | 22:39.6 | |||||
| 63 | 34 | Male | 19-29 | 23:52.8 | 22:41.7 | |||||
| 64 | 62 | Male | 19-29 | 24:02.5 | 22:53.4 | |||||
| 65 | 480 | Male | 14-18 | 23:56.3 | 22:53.6 | |||||
| 66 | 365 | Female | 10-13 | 22:57.3 | 22:53.9 | |||||
| 67 | 157 | Male | 19-29 | 24:58.3 | 22:54.2 | |||||
| 68 | 489 | Female | 40-49 | 24:04.8 | 22:56.1 | |||||
| 69 | 65 | Female | 40-49 | 24:07.5 | 22:58.2 | |||||
| 70 | 242 | Male | 30-39 | 24:20.7 | 23:09.6 | |||||
| 71 | 232 | Male | 19-29 | 25:33.0 | 23:12.7 | |||||
| 72 | 134 | Female | 14-18 | 24:23.5 | 23:16.6 | |||||
| 73 | 427 | Female | 14-18 | 25:25.4 | 23:20.1 | |||||
| 74 | 170 | Female | 14-18 | 25:27.7 | 23:22.7 | |||||
| 75 | 118 | Male | 14-18 | 24:39.3 | 23:25.4 | |||||
| 76 | 22 | Male | 10-13 | 24:31.8 | 23:26.0 | |||||
| 77 | 476 | Male | 40-49 | 24:46.5 | 23:40.9 | |||||
| 78 | 81 | Male | 50-59 | 24:53.8 | 23:43.6 | |||||
| 79 | 323 | Female | 40-49 | 25:01.7 | 23:54.1 | |||||
| 80 | 109 | Male | 60-69 | 26:09.3 | 24:02.6 | |||||
| 81 | 432 | Male | 30-39 | 26:25.1 | 24:08.0 | |||||
| 82 | 185 | Male | 30-39 | 26:28.4 | 24:12.4 | |||||
| 83 | 363 | Male | 14-18 | 25:17.5 | 24:14.6 | |||||
| 84 | 322 | Male | 50-59 | 25:23.2 | 24:19.1 | |||||
| 85 | 56 | Female | 30-39 | 25:30.8 | 24:23.8 | |||||
| 86 | 354 | Female | 14-18 | 25:35.2 | 24:25.5 | |||||
| 87 | 304 | Male | 10-13 | 24:34.3 | 24:30.6 | |||||
| 88 | 452 | Male | 14-18 | 26:40.7 | 24:30.7 | |||||
| 89 | 302 | Female | 40-49 | 26:52.7 | 24:32.5 | |||||
| 90 | 124 | Male | 1 – 9 Years old | 24:38.5 | 24:36.1 | |||||
| 91 | 446 | Male | 40-49 | 26:59.1 | 24:38.0 | |||||
| 92 | 423 | Female | 14-18 | 26:42.3 | 24:38.2 | |||||
| 93 | 89 | Male | 10-13 | 26:43.5 | 24:38.7 | |||||
| 94 | 82 | Male | 10-13 | 24:45.2 | 24:42.5 | |||||
| 95 | 307 | Male | 50-59 | 26:50.7 | 24:43.9 | |||||
| 96 | 209 | Male | 10-13 | 24:49.7 | 24:47.1 | |||||
| 97 | 15 | Female | 10-13 | 26:54.1 | 24:50.2 | |||||
| 98 | 64 | Male | 40-49 | 27:07.5 | 24:52.0 | |||||
| 99 | 430 | Female | 40-49 | 27:01.6 | 24:54.9 | |||||
| 100 | 129 | Male | 19-29 | 27:15.4 | 24:58.2 | |||||
| 101 | 95 | Male | 10-13 | 25:05.3 | 25:01.7 | |||||
| 102 | 33 | Male | 40-49 | 27:22.1 | 25:03.6 | |||||
| 103 | 409 | Female | 30-39 | 27:44.3 | 25:08.8 | |||||
| 104 | 405 | Male | 19-29 | 28:22.6 | 25:10.4 | |||||
| 105 | 362 | Female | 50-59 | 27:19.5 | 25:15.6 | |||||
| 106 | 236 | Male | 30-39 | 27:23.5 | 25:15.6 | |||||
| 107 | 66 | Male | 14-18 | 27:23.1 | 25:16.2 | |||||
| 108 | 60 | Female | 50-59 | 26:26.5 | 25:16.3 | |||||
| 109 | 36 | Male | 1 – 9 Years old | 25:18.9 | 25:18.9 | |||||
| 110 | 233 | Male | 10-13 | 25:26.6 | 25:23.5 | |||||
| 111 | 197 | Male | 14-18 | 27:42.6 | 25:36.4 | |||||
| 112 | 83 | Male | 10-13 | 26:49.0 | 25:38.6 | |||||
| 113 | 55 | Male | 50-59 | 28:28.1 | 25:39.0 | |||||
| 114 | 5 | Male | 30-39 | 30:23.0 | 25:43.2 | |||||
| 115 | 198 | Female | 40-49 | 25:47.5 | 25:45.6 | |||||
| 116 | 68 | Male | 30-39 | 30:19.8 | 26:00.2 | |||||
| 117 | 483 | Male | 40-49 | 30:28.9 | 26:01.3 | |||||
| 118 | 151 | Female | 19-29 | 28:37.5 | 26:09.3 | |||||
| 119 | 458 | Male | 14-18 | 28:13.2 | 26:09.4 | |||||
| 120 | 193 | Male | 10-13 | 27:27.0 | 26:14.0 | |||||
| 121 | 450 | Male | 10-13 | 28:17.3 | 26:14.7 | |||||
| 122 | 426 | Male | 10-13 | 27:31.3 | 26:15.6 | |||||
| 123 | 145 | Male | 40-49 | 28:34.0 | 26:20.4 | |||||
| 124 | 189 | Female | 40-49 | 27:30.3 | 26:23.3 | |||||
| 125 | 465 | Female | 40-49 | 28:36.5 | 26:23.7 | |||||
| 126 | 91 | Female | 10-13 | 28:40.5 | 26:24.0 | |||||
| 127 | 353 | Male | 10-13 | 27:30.8 | 26:25.2 | |||||
| 128 | 436 | Male | 14-18 | 29:13.8 | 26:29.0 | |||||
| 129 | 479 | Male | 30-39 | 29:30.8 | 26:31.5 | |||||
| 130 | 329 | Male | 14-18 | 28:50.9 | 26:33.0 | |||||
| 131 | 396 | Female | 10-13 | 28:42.1 | 26:33.5 | |||||
| 132 | 45 | Female | 30-39 | 27:46.6 | 26:35.2 | |||||
| 133 | 139 | Male | 10-13 | 29:00.4 | 26:38.4 | |||||
| 134 | 127 | Male | 50-59 | 29:06.5 | 26:41.8 | |||||
| 135 | 321 | Female | 50-59 | 28:49.4 | 26:42.4 | |||||
| 136 | 156 | Female | 19-29 | 29:06.9 | 26:43.4 | |||||
| 137 | 32 | Male | 10-13 | 27:51.6 | 26:45.1 | |||||
| 138 | 211 | Male | 50-59 | 27:56.2 | 26:47.0 | |||||
| 139 | 386 | Male | 50-59 | 28:55.9 | 26:47.1 | |||||
| 140 | 208 | Male | 30-39 | 29:03.8 | 26:47.4 | |||||
| 141 | 183 | Female | 14-18 | 26:47.6 | 26:47.6 | |||||
| 142 | 212 | Male | 10-13 | 27:55.8 | 26:47.9 | |||||
| 143 | 303 | Male | 40-49 | 29:10.3 | 26:50.9 | |||||
| 144 | 6 | Female | 30-39 | 31:31.7 | 26:52.2 | |||||
| 145 | 380 | Male | 50-59 | 29:05.5 | 26:54.2 | |||||
| 146 | 37 | Male | 1 – 9 Years old | 26:54.4 | 26:54.4 | |||||
| 147 | 328 | Female | 19-29 | 29:08.1 | 27:03.1 | |||||
| 148 | 330 | Female | 10-13 | 29:23.1 | 27:04.6 | |||||
| 149 | 47 | Male | 14-18 | 28:19.3 | 27:06.7 | |||||
| 150 | 115 | Male | 60-69 | 28:14.2 | 27:06.8 | |||||
| 151 | 317 | Female | 10-13 | 29:17.1 | 27:13.5 | |||||
| 152 | 96 | Male | 1 – 9 Years old | 27:17.4 | 27:14.4 | |||||
| 153 | 274 | Female | 30-39 | 31:20.9 | 27:14.4 | |||||
| 154 | 99 | Male | 10-13 | 27:20.5 | 27:17.1 | |||||
| 155 | 467 | Male | 10-13 | 27:28.6 | 27:24.6 | |||||
| 156 | 457 | Male | 10-13 | 29:31.2 | 27:27.7 | |||||
| 157 | 474 | Male | 19-29 | 30:00.5 | 27:35.5 | |||||
| 158 | 114 | Male | 14-18 | 30:11.5 | 27:35.6 | |||||
| 159 | 370 | Female | 1 – 9 Years old | 27:39.6 | 27:36.6 | |||||
| 160 | 482 | Male | 14-18 | 32:41.9 | 27:39.2 | |||||
| 161 | 246 | Unknown | UK | 31:03.8 | 27:48.7 | |||||
| 162 | 417 | Male | 40-49 | 30:07.2 | 27:53.2 | |||||
| 163 | 416 | Female | 50-59 | 30:07.3 | 27:53.4 | |||||
| 164 | 152 | Female | 14-18 | 30:23.0 | 27:53.5 | |||||
| 165 | 410 | Female | 19-29 | 30:37.9 | 28:01.5 | |||||
| 166 | 327 | Male | 14-18 | 30:27.8 | 28:02.5 | |||||
| 167 | 361 | Female | 50-59 | 30:09.2 | 28:05.1 | |||||
| 168 | 148 | Male | 14-18 | 30:35.8 | 28:06.3 | |||||
| 169 | 261 | Unknown | UK | 34:10.7 | 28:10.7 | |||||
| 170 | 313 | Male | 40-49 | 30:19.5 | 28:14.2 | |||||
| 171 | 466 | Male | 40-49 | 31:01.6 | 28:14.2 | |||||
| 172 | 136 | Male | 40-49 | 31:01.8 | 28:14.4 | |||||
| 173 | 275 | Male | 30-39 | 32:23.8 | 28:16.1 | |||||
| 174 | 368 | Female | 40-49 | 32:24.5 | 28:16.3 | |||||
| 175 | 314 | Female | 10-13 | 30:20.1 | 28:16.5 | |||||
| 176 | 173 | Male | 1 – 9 Years old | 30:38.0 | 28:26.9 | |||||
| 177 | 80 | Male | 10-13 | 30:36.8 | 28:28.1 | |||||
| 178 | 210 | Male | 1 – 9 Years old | 30:33.6 | 28:28.7 | |||||
| 179 | 57 | Male | 40-49 | 32:58.7 | 28:37.6 | |||||
| 180 | 484 | Female | 1 – 9 Years old | 33:06.6 | 28:38.7 | |||||
| 181 | 23 | Female | 10-13 | 33:15.3 | 28:38.8 | |||||
| 182 | 92 | Male | 10-13 | 30:58.8 | 28:42.1 | |||||
| 183 | 240 | Female | 10-13 | 30:53.8 | 28:42.4 | |||||
| 184 | 485 | Male | 10-13 | 33:11.8 | 28:44.1 | |||||
| 185 | 371 | Male | 40-49 | 28:44.1 | 28:44.1 | |||||
| 186 | 218 | Female | 50-59 | 31:18.1 | 28:44.6 | |||||
| 187 | 204 | Female | 10-13 | 29:54.4 | 28:46.3 | |||||
| 188 | 454 | Female | 14-18 | 30:52.8 | 28:47.0 | |||||
| 189 | 337 | Female | 19-29 | 31:24.3 | 28:47.6 | |||||
| 190 | 394 | Female | 10-13 | 30:53.7 | 28:48.3 | |||||
| 191 | 3 | Female | 10-13 | 30:58.7 | 28:51.9 | |||||
| 192 | 85 | Female | 14-18 | 31:24.4 | 28:57.1 | |||||
| 193 | 217 | Female | 14-18 | 31:09.3 | 29:01.6 | |||||
| 194 | 216 | Male | 10-13 | 29:04.1 | 29:01.7 | |||||
| 195 | 229 | Female | 19-29 | 31:25.8 | 29:03.0 | |||||
| 196 | 184 | Male | 14-18 | 31:23.3 | 29:03.9 | |||||
| 197 | 75 | Female | 1 – 9 Years old | 29:10.8 | 29:08.0 | |||||
| 198 | 155 | Female | 60-69 | 31:27.8 | 29:13.5 | |||||
| 199 | 196 | Male | 14-18 | 31:29.2 | 29:16.0 | |||||
| 200 | 106 | Male | 19-29 | 38:01.6 | 29:16.9 | |||||
| 201 | 244 | Unknown | UK | 32:32.0 | 29:18.9 | |||||
| 202 | 126 | Female | 1 – 9 Years old | 29:22.3 | 29:19.6 | |||||
| 203 | 464 | Male | 14-18 | 31:43.9 | 29:21.5 | |||||
| 204 | 247 | Female | 10-13 | 31:34.7 | 29:21.5 | |||||
| 205 | 90 | Female | 40-49 | 31:38.0 | 29:21.5 | |||||
| 206 | 331 | Female | 14-18 | 32:01.1 | 29:21.8 | |||||
| 207 | 400 | Female | 10-13 | 31:39.6 | 29:24.6 | |||||
| 208 | 238 | Unknown | UK | 30:39.6 | 29:33.4 | |||||
| 209 | 13 | Female | 40-49 | 33:48.7 | 29:36.6 | |||||
| 210 | 107 | Female | 30-39 | 38:22.6 | 29:39.2 | |||||
| 211 | 138 | Male | 10-13 | 32:01.9 | 29:39.4 | |||||
| 212 | 105 | Female | 19-29 | 38:24.8 | 29:40.2 | |||||
| 213 | 104 | Male | 10-13 | 31:44.3 | 29:41.5 | |||||
| 214 | 219 | Male | 50-59 | 32:20.6 | 29:46.3 | |||||
| 215 | 391 | Male | 10-13 | 32:23.4 | 29:48.1 | |||||
| 216 | 130 | Female | 60-69 | 32:04.0 | 29:54.5 | |||||
| 217 | 383 | Female | 19-29 | 34:20.8 | 30:00.5 | |||||
| 218 | 384 | Female | 50-59 | 34:14.1 | 30:04.8 | |||||
| 219 | 478 | Female | 19-29 | 33:05.0 | 30:05.5 | |||||
| 220 | 84 | Male | 10-13 | 32:38.0 | 30:08.7 | |||||
| 221 | 473 | Female | 19-29 | 32:37.7 | 30:12.0 | |||||
| 222 | 29 | Female | 14-18 | 34:23.8 | 30:13.6 | |||||
| 223 | 116 | Male | 1 – 9 Years old | 33:27.3 | 30:14.5 | |||||
| 224 | 301 | Female | 1 – 9 Years old | 33:27.1 | 30:14.7 | |||||
| 225 | 149 | Male | 50-59 | 32:51.3 | 30:20.3 | |||||
| 226 | 30 | Male | 10-13 | 34:36.5 | 30:26.7 | |||||
| 227 | 163 | Female | 30-39 | 34:34.3 | 30:27.4 | |||||
| 228 | 146 | Female | 60-69 | 33:13.8 | 30:28.4 | |||||
| 229 | 468 | Male | 40-49 | 34:43.5 | 30:32.8 | |||||
| 230 | 19 | Female | 14-18 | 32:43.6 | 30:36.7 | |||||
| 231 | 287 | Female | 14-18 | 33:16.6 | 30:56.0 | |||||
| 232 | 61 | Male | 50-59 | 33:06.8 | 30:58.6 | |||||
| 233 | 336 | Male | 10-13 | 31:08.1 | 31:05.7 | |||||
| 234 | 387 | Female | 30-39 | 34:09.9 | 31:17.5 | |||||
| 235 | 406 | Female | 1 – 9 Years old | 33:25.7 | 31:19.6 | |||||
| 236 | 235 | Male | 30-39 | 34:14.5 | 31:32.8 | |||||
| 237 | 341 | Female | 1 – 9 Years old | 33:39.8 | 31:33.6 | |||||
| 238 | 408 | Female | 30-39 | 35:47.3 | 31:36.1 | |||||
| 239 | 51 | Female | 14-18 | 33:48.3 | 31:41.0 | |||||
| 240 | 345 | Male | 19-29 | 36:38.8 | 31:41.9 | |||||
| 241 | 385 | Female | 10-13 | 33:49.1 | 31:42.2 | |||||
| 242 | 207 | Female | 10-13 | 32:51.6 | 31:42.9 | |||||
| 243 | 255 | Unknown | UK | 35:53.3 | 31:49.0 | |||||
| 244 | 254 | Unknown | UK | 33:51.6 | 31:49.7 | |||||
| 245 | 438 | Male | 1 – 9 Years old | 35:57.6 | 31:50.0 | |||||
| 246 | 150 | Female | 50-59 | 34:27.3 | 31:55.9 | |||||
| 247 | 453 | Female | 14-18 | 34:07.8 | 31:56.1 | |||||
| 248 | 481 | Male | 40-49 | 37:01.1 | 31:57.7 | |||||
| 249 | 192 | Female | 40-49 | 38:47.8 | 32:00.2 | |||||
| 250 | 52 | Female | 60-69 | 34:25.1 | 32:04.7 | |||||
| 251 | 414 | Male | 14-18 | 34:24.1 | 32:15.4 | |||||
| 252 | 463 | Female | 10-13 | 34:27.3 | 32:19.4 | |||||
| 253 | 434 | Female | 10-13 | 32:26.3 | 32:24.1 | |||||
| 254 | 108 | Female | 30-39 | 35:38.8 | 32:34.1 | |||||
| 255 | 250 | Unknown | UK | 40:09.1 | 32:36.4 | |||||
| 256 | 17 | Male | 40-49 | 35:15.5 | 32:37.6 | |||||
| 257 | 228 | Male | 1 – 9 Years old | 36:43.8 | 32:38.5 | |||||
| 258 | 249 | Unknown | UK | 40:09.2 | 32:40.1 | |||||
| 259 | 335 | Male | 14-18 | 33:45.0 | 32:42.5 | |||||
| 260 | 395 | Male | 40-49 | 37:36.1 | 32:42.6 | |||||
| 261 | 308 | Male | 14-18 | 33:46.3 | 32:43.8 | |||||
| 262 | 227 | Male | 19-29 | 34:56.2 | 32:53.2 | |||||
| 263 | 455 | Female | 50-59 | 37:35.0 | 32:57.6 | |||||
| 264 | 462 | Male | 40-49 | 38:29.8 | 33:04.2 | |||||
| 265 | 390 | Male | 19-29 | 35:40.1 | 33:04.6 | |||||
| 266 | 461 | Female | 14-18 | 38:29.8 | 33:04.6 | |||||
| 267 | 225 | Male | 40-49 | 35:08.6 | 33:04.7 | |||||
| 268 | 181 | Female | 14-18 | 37:26.8 | 33:17.3 | |||||
| 269 | 378 | Male | 30-39 | 36:24.7 | 33:18.9 | |||||
| 270 | 112 | Female | 1 – 9 Years old | 33:26.8 | 33:23.4 | |||||
| 271 | 10 | Male | 60-69 | 43:18.8 | 33:25.1 | |||||
| 272 | 182 | Female | 14-18 | 35:56.6 | 33:36.0 | |||||
| 273 | 174 | Female | 50-59 | 38:07.6 | 33:38.1 | |||||
| 274 | 24 | Female | 10-13 | 38:20.4 | 33:41.8 | |||||
| 275 | 469 | Male | 60-69 | 37:54.1 | 33:42.0 | |||||
| 276 | 20 | Male | 40-49 | 38:20.4 | 33:42.0 | |||||
| 277 | 243 | Unknown | UK | 37:07.7 | 33:47.3 | |||||
| 278 | 401 | Female | 10-13 | 33:52.8 | 33:49.1 | |||||
| 279 | 206 | Female | 10-13 | 34:58.7 | 33:50.6 | |||||
| 280 | 178 | Female | 1 – 9 Years old | 33:58.1 | 33:55.3 | |||||
| 281 | 103 | Male | 10-13 | 35:05.8 | 33:57.9 | |||||
| 282 | 54 | Female | 50-59 | 37:04.5 | 34:17.6 | |||||
| 283 | 113 | Female | 40-49 | 35:36.3 | 34:21.3 | |||||
| 284 | 428 | Male | 50-59 | 39:44.9 | 34:21.6 | |||||
| 285 | 200 | Male | 1 – 9 Years old | 38:29.0 | 34:23.1 | |||||
| 286 | 439 | Male | 1 – 9 Years old | 38:43.6 | 34:35.5 | |||||
| 287 | 456 | Male | 10-13 | 37:05.6 | 34:38.0 | |||||
| 288 | 226 | Male | 40-49 | 38:48.3 | 34:42.4 | |||||
| 289 | 39 | Male | 30-39 | 39:48.6 | 34:43.7 | |||||
| 290 | 234 | Female | 30-39 | 38:49.3 | 34:46.3 | |||||
| 291 | 31 | Female | 30-39 | 39:48.6 | 34:46.4 | |||||
| 292 | 195 | Male | 10-13 | 37:05.3 | 34:52.1 | |||||
| 293 | 425 | Female | 10-13 | 39:42.3 | 34:55.1 | |||||
| 294 | 339 | Female | 50-59 | 39:24.1 | 34:58.7 | |||||
| 295 | 340 | Male | 50-59 | 39:24.4 | 34:58.9 | |||||
| 296 | 230 | Male | 19-29 | 37:23.8 | 35:00.4 | |||||
| 297 | 16 | Female | 40-49 | 37:50.2 | 35:10.5 | |||||
| 298 | 315 | Female | 10-13 | 37:17.3 | 35:14.1 | |||||
| 299 | 424 | Male | 40-49 | 40:02.8 | 35:15.3 | |||||
| 300 | 165 | Female | 50-59 | 38:00.3 | 35:16.1 | |||||
| 301 | 7 | Male | 30-39 | 40:02.7 | 35:19.0 | |||||
| 302 | 201 | Male | 1 – 9 Years old | 39:27.1 | 35:21.1 | |||||
| 303 | 202 | Male | 40-49 | 39:26.5 | 35:21.7 | |||||
| 304 | 177 | Female | 50-59 | 36:35.9 | 35:25.0 | |||||
| 305 | 180 | Male | 50-59 | 39:35.3 | 35:25.1 | |||||
| 306 | 306 | Female | 50-59 | 41:01.0 | 35:26.7 | |||||
| 307 | 179 | Female | 1 – 9 Years old | 35:31.2 | 35:28.2 | |||||
| 308 | 224 | Female | 50-59 | 40:34.8 | 35:34.8 | |||||
| 309 | 411 | Female | 19-29 | 38:12.7 | 35:35.8 | |||||
| 310 | 305 | Female | 50-59 | 41:09.7 | 35:37.3 | |||||
| 311 | 88 | Female | 19-29 | 40:36.6 | 35:44.5 | |||||
| 312 | 357 | Female | 40-49 | 40:28.3 | 36:02.5 | |||||
| 313 | 154 | Female | 19-29 | 38:20.6 | 36:05.5 | |||||
| 314 | 144 | Male | 40-49 | 38:56.7 | 36:22.0 | |||||
| 315 | 253 | Unknown | UK | 39:00.2 | 36:26.3 | |||||
| 316 | 72 | Female | 1 – 9 Years old | 36:38.8 | 36:35.7 | |||||
| 317 | 393 | Female | 40-49 | 41:34.3 | 36:40.9 | |||||
| 318 | 69 | Female | 14-18 | 38:53.1 | 36:45.6 | |||||
| 319 | 379 | Male | 60-69 | 40:26.3 | 36:49.5 | |||||
| 320 | 397 | Male | 60-69 | 41:49.1 | 36:58.6 | |||||
| 321 | 78 | Female | 40-49 | 42:48.8 | 37:00.4 | |||||
| 322 | 143 | Female | 10-13 | 39:41.0 | 37:06.4 | |||||
| 323 | 252 | Unknown | UK | 39:49.6 | 37:15.5 | |||||
| 324 | 266 | Unknown | UK | 41:30.7 | 37:25.3 | |||||
| 325 | 267 | Unknown | UK | 41:30.7 | 37:25.4 | |||||
| 326 | 382 | Male | 14-18 | 39:31.1 | 37:26.8 | |||||
| 327 | 142 | Male | 30-39 | 40:13.8 | 37:38.6 | |||||
| 328 | 63 | Male | 19-29 | 38:52.9 | 37:44.2 | |||||
| 329 | 359 | Male | 14-18 | 40:01.1 | 37:52.1 | |||||
| 330 | 442 | Female | 60-69 | 42:20.1 | 37:58.9 | |||||
| 331 | 223 | Female | 19-29 | 43:04.3 | 38:04.2 | |||||
| 332 | 404 | Female | 14-18 | 40:24.5 | 38:18.9 | |||||
| 333 | 374 | Male | 40-49 | 44:14.1 | 38:34.4 | |||||
| 334 | 376 | Female | 1 – 9 Years old | 44:15.0 | 38:35.3 | |||||
| 335 | 48 | Female | 50-59 | 43:07.8 | 38:44.3 | |||||
| 336 | 351 | Male | 70-99 | 41:01.8 | 38:46.5 | |||||
| 337 | 137 | Male | 40-49 | 46:08.6 | 39:27.4 | |||||
| 338 | 214 | Female | 19-29 | 48:31.8 | 39:30.4 | |||||
| 339 | 488 | Male | 60-69 | 45:11.1 | 39:35.1 | |||||
| 340 | 269 | Unknown | UK | 47:37.7 | 39:54.6 | |||||
| 341 | 270 | Unknown | UK | 47:38.5 | 39:56.1 | |||||
| 342 | 271 | Unknown | UK | 47:40.1 | 39:56.5 | |||||
| 343 | 268 | Unknown | UK | 47:39.9 | 39:58.5 | |||||
| 344 | 444 | Male | UK | 46:41.4 | 40:06.3 | |||||
| 345 | 125 | Female | 40-49 | 41:22.7 | 40:08.4 | |||||
| 346 | 441 | Male | 19-29 | 44:32.4 | 40:09.8 | |||||
| 347 | 449 | Female | 14-18 | 46:00.9 | 40:23.3 | |||||
| 348 | 399 | Female | 40-49 | 45:28.0 | 40:24.4 | |||||
| 349 | 419 | Female | 10-13 | 42:34.6 | 40:25.5 | |||||
| 350 | 418 | Male | 40-49 | 42:42.6 | 40:33.1 | |||||
| 351 | 333 | Female | 40-49 | 47:13.0 | 40:40.6 | |||||
| 352 | 73 | Female | 1 – 9 Years old | 45:39.4 | 40:42.4 | |||||
| 353 | 74 | Male | 40-49 | 45:39.4 | 40:43.1 | |||||
| 354 | 334 | Female | 50-59 | 47:16.1 | 40:46.1 | |||||
| 355 | 447 | Female | 40-49 | 46:24.9 | 40:46.7 | |||||
| 356 | 4 | Female | 30-39 | 45:31.8 | 40:47.1 | |||||
| 357 | 443 | Female | 60-69 | 46:39.4 | 40:47.9 | |||||
| 358 | 445 | Female | UK | 46:39.6 | 40:48.1 | |||||
| 359 | 448 | Male | 19-29 | 44:01.7 | 41:42.5 | |||||
| 360 | 248 | Male | 1 – 9 Years old | 46:55.1 | 41:46.1 | |||||
| 361 | 110 | Female | 1 – 9 Years old | 42:35.3 | 42:32.5 | |||||
| 362 | 435 | Female | 14-18 | 47:24.8 | 42:32.5 | |||||
| 363 | 437 | Female | 40-49 | 47:44.9 | 42:51.5 | |||||
| 364 | 79 | Female | 14-18 | 49:08.3 | 44:42.7 | |||||
| 365 | 366 | Male | 30-39 | 50:09.0 | 44:48.2 | |||||
| 366 | 259 | Female | 30-39 | 50:42.2 | 44:53.3 | |||||
| 367 | 262 | Male | 30-39 | 50:42.3 | 44:55.9 | |||||
| 368 | 389 | Male | 40-49 | 50:08.0 | 45:18.2 | |||||
| 369 | 388 | Female | 19-29 | 50:08.0 | 45:18.6 | |||||
| 370 | 97 | Female | 40-49 | 49:43.5 | 45:19.3 | |||||
| 371 | 94 | Female | 40-49 | 49:44.0 | 45:19.6 | |||||
| 372 | 377 | Male | 40-49 | 55:52.1 | 46:46.2 | |||||
| 373 | 372 | Female | 10-13 | 47:04.2 | 47:04.2 | |||||
| 374 | 27 | Female | 40-49 | 54:20.1 | 47:41.0 | |||||
| 375 | 43 | Male | 30-39 | 53:20.8 | 48:04.2 | |||||
| 376 | 41 | Male | 70-99 | 53:22.0 | 48:05.6 | |||||
| 377 | 71 | Female | 30-39 | 53:54.6 | 48:37.6 | |||||
| 378 | 398 | Male | 40-49 | 54:18.1 | 49:15.3 | |||||
| 379 | 392 | Female | 50-59 | 53:43.6 | 49:37.9 | |||||
| 380 | 59 | Female | 50-59 | 54:05.1 | 49:42.7 | |||||
| 381 | 49 | Female | 40-49 | 56:46.4 | 49:46.7 | |||||
| 382 | 188 | Male | 1 – 9 Years old | 49:50.3 | 49:50.3 | |||||
| 383 | 50 | Male | 40-49 | 57:15.1 | 50:15.8 | |||||
| 384 | 459 | Male | 14-18 | 55:43.4 | 51:11.8 | |||||
| 385 | 460 | Male | 10-13 | 56:50.2 | 51:24.2 | |||||
| 386 | 203 | Female | 30-39 | 56:25.0 | 51:33.4 | |||||
| 387 | 12 | Female | 19-29 | 56:01.9 | 51:47.7 | |||||
| 388 | 358 | Male | 50-59 | 59:56.4 | 52:24.1 | |||||
| 389 | 318 | Male | 10-13 | 59:47.3 | 53:19.5 | |||||
| 390 | 309 | Female | 14-18 | 59:00.3 | 53:33.5 | |||||
| 391 | 310 | Male | 1 – 9 Years old | 59:00.5 | 53:33.9 | |||||
| 392 | 311 | Female | 40-49 | 59:05.2 | 53:38.5 | |||||
| 393 | 316 | Female | 40-49 | 1:00:20.9 | 53:54.2 | |||||
| 394 | 312 | Female | 40-49 | 1:00:22.0 | 53:56.1 | |||||
| 395 | 42 | Female | 40-49 | 1:00:11.1 | 54:54.8 | |||||
| 396 | 28 | Male | 14-18 | 1:01:35.9 | 54:55.5 | |||||
| 397 | 44 | Male | 30-39 | 1:00:11.4 | 54:56.4 | |||||
| 398 | 40 | Male | 40-49 | 1:00:11.6 | 54:56.6 | |||||
| 399 | 245 | Unknown | UK | 59:47.4 | 55:32.0 | |||||
| 400 | 101 | Female | 50-59 | 1:02:46.1 | 56:07.0 | |||||
| 401 | 100 | Female | 10-13 | 1:02:46.1 | 56:08.9 | |||||
| 402 | 162 | Female | 50-59 | 1:03:51.5 | 58:10.2 | |||||
| 403 | 159 | Female | 60-69 | 1:03:52.0 | 58:11.3 | |||||
| 404 | 161 | Male | 50-59 | 1:03:54.4 | 58:12.8 | |||||
| 405 | 8 | Male | 30-39 | 1:07:40.4 | 58:34.4 | |||||
| 406 | 11 | Female | 60-69 | 1:06:57.6 | 58:52.9 | |||||
| 407 | 9 | Female | 30-39 | 1:06:57.9 | 58:53.6 | |||||
| 408 | 415 | Male | 19-29 | 1:05:30.9 | 59:45.6 | |||||
| 409 | 58 | Male | 1 – 9 Years old | 1:00:06.2 | 1:00:06.2 | |||||
| 410 | 413 | Female | 19-29 | 1:06:18.6 | 1:00:33.9 | |||||
| 411 | 412 | Female | 50-59 | 1:06:18.2 | 1:00:34.6 | |||||
| 412 | 355 | Male | 50-59 | 1:06:14.9 | 1:00:38.6 | |||||
| 413 | 251 | Unknown | UK | 1:11:58.1 | 1:04:28.7 | |||||
| 414 | 239 | Female | 50-59 | 1:04:54.4 | 1:04:54.4 | |||||
| 415 | 237 | Male | 50-59 | 1:04:54.6 | 1:04:54.6 | |||||
| 416 | 46 | Male | 14-18 | 1:15:49.3 | 1:07:33.8 | |||||
| 417 | 260 | Unknown | UK | 1:07:35.3 | 1:07:35.3 | |||||
| 418 | 263 | Unknown | UK | 1:13:57.4 | 1:07:39.4 | |||||
| 419 | 53 | Female | 50-59 | 1:15:46.2 | 1:07:41.3 | |||||
| 420 | 472 | Female | 70-99 | 1:14:59.9 | 1:10:27.4 |
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