Official Event Results
2022 Hill Country Turkey Trot
Event Date
11/24/2022
Races
1
Result Rows
392
Split Rows
784
Entered
392
Finishers
259
Fastest Time
17:41
Average Time
33:22
| Place | Race No | Name | Gender | Division | Time | Chip Time | Pace | City | State | Details |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 46 | Male | Overall | 00:17:41.0 | 00:17:38.0 | |||||
| 2 | 47 | Male | Overall | 00:17:42.8 | 00:17:38.0 | |||||
| 3 | 281 | Male | Overall | 00:17:50.0 | 00:17:46.0 | |||||
| 4 | 233 | Male | 14-18 | 00:18:32.6 | 00:18:30.2 | |||||
| 5 | 147 | Male | 14-18 | 00:19:02.3 | 00:18:58.3 | |||||
| 6 | 149 | Male | 14-18 | 00:19:03.4 | 00:18:59.1 | |||||
| 7 | 264 | Male | 10-13 | 00:19:11.2 | 00:19:07.6 | |||||
| 8 | 195 | Male | 10-13 | 00:19:19.8 | 00:19:16.5 | |||||
| 9 | 103 | Male | 40-49 | 00:19:35.2 | 00:19:30.3 | |||||
| 10 | 129 | Male | 19-29 | 00:19:54.5 | 00:19:49.0 | |||||
| 11 | 146 | Male | 40-49 | 00:20:01.8 | 00:19:56.8 | |||||
| 12 | 257 | Male | 40-49 | 00:20:16.0 | 00:20:07.8 | |||||
| 13 | 198 | Male | 40-49 | 00:20:13.9 | 00:20:08.8 | |||||
| 14 | 145 | Female | Overall | 00:20:19.3 | 00:20:12.8 | |||||
| 15 | 267 | Male | 10-13 | 00:20:32.4 | 00:20:25.4 | |||||
| 16 | 179 | Male | 10-13 | 00:20:34.0 | 00:20:27.0 | |||||
| 17 | 182 | Male | 14-18 | 00:20:45.0 | 00:20:41.5 | |||||
| 18 | 395 | Male | 30-39 | 00:20:52.8 | 00:20:46.4 | |||||
| 19 | 141 | Male | 50-59 | 00:20:53.5 | 00:20:46.9 | |||||
| 20 | 378 | Male | 40-49 | 00:20:58.1 | 00:20:51.5 | |||||
| 21 | 255 | Male | 14-18 | 00:20:57.9 | 00:20:52.8 | |||||
| 22 | 98 | Female | Overall | 00:20:58.3 | 00:20:53.2 | |||||
| 23 | 276 | Male | 10-13 | 00:21:11.4 | 00:20:54.4 | |||||
| 24 | 384 | Male | 40-49 | 00:21:01.4 | 00:20:55.5 | |||||
| 25 | 385 | Female | Overall | 00:21:03.6 | 00:20:58.3 | |||||
| 26 | 279 | Male | 10-13 | 00:21:02.6 | 00:20:59.0 | |||||
| 27 | 248 | Female | 10-13 | 00:21:04.7 | 00:21:00.7 | |||||
| 28 | 106 | Male | 50-59 | 00:21:06.9 | 00:21:01.4 | |||||
| 29 | 178 | Male | 10-13 | 00:21:11.6 | 00:21:03.8 | |||||
| 30 | 139 | Male | 40-49 | 00:21:13.4 | 00:21:05.2 | |||||
| 31 | 208 | Female | 30-39 | 00:21:10.4 | 00:21:05.3 | |||||
| 32 | 105 | Female | 14-18 | 00:21:16.8 | 00:21:12.5 | |||||
| 33 | 274 | Male | 14-18 | 00:21:23.3 | 00:21:19.1 | |||||
| 34 | 130 | Male | 50-59 | 00:21:24.6 | 00:21:19.8 | |||||
| 35 | 94 | Female | 30-39 | 00:21:47.7 | 00:21:33.7 | |||||
| 36 | 381 | Male | 14-18 | 00:21:41.2 | 00:21:34.8 | |||||
| 37 | 196 | Male | 10-13 | 00:21:44.1 | 00:21:39.5 | |||||
| 38 | 343 | Male | 10-13 | 00:21:51.8 | 00:21:46.3 | |||||
| 39 | 156 | Female | 10-13 | 00:21:55.4 | 00:21:51.1 | |||||
| 40 | 101 | Female | 14-18 | 00:22:03.8 | 00:21:58.9 | |||||
| 41 | 53 | Male | 19-29 | 00:22:19.1 | 00:22:02.3 | |||||
| 42 | 13 | Male | 10-13 | 00:22:18.8 | 00:22:12.1 | |||||
| 43 | 246 | Male | 14-18 | 00:22:29.7 | 00:22:18.2 | |||||
| 44 | 328 | Female | 10-13 | 00:22:36.9 | 00:22:28.7 | |||||
| 45 | 71 | Male | 30-39 | 00:22:37.9 | 00:22:30.3 | |||||
| 46 | 397 | Male | 40-49 | 00:22:45.1 | 00:22:32.6 | |||||
| 47 | 153 | Male | 10-13 | 00:22:43.2 | 00:22:39.4 | |||||
| 48 | 218 | Male | 40-49 | 00:23:17.2 | 00:22:42.5 | |||||
| 49 | 352 | Male | 10-13 | 00:22:56.4 | 00:22:50.1 | |||||
| 50 | 155 | Female | 7 – 9 Years old | 00:23:14.6 | 00:23:09.9 | |||||
| 51 | 128 | Male | 19-29 | 00:23:27.0 | 00:23:20.9 | |||||
| 52 | 177 | Male | 14-18 | 00:23:30.5 | 00:23:22.8 | |||||
| 53 | 187 | Female | 40-49 | 00:23:45.1 | 00:23:23.5 | |||||
| 54 | 278 | Female | 10-13 | 00:23:31.9 | 00:23:23.6 | |||||
| 55 | 232 | Male | 14-18 | 00:23:43.0 | 00:23:36.9 | |||||
| 56 | 376 | Female | 14-18 | 00:24:08.8 | 00:23:53.2 | |||||
| 57 | 402 | Male | 19-29 | 00:24:14.4 | 00:24:00.7 | |||||
| 58 | 59 | Female | 7 – 9 Years old | 00:24:12.0 | 00:24:06.7 | |||||
| 59 | 329 | Male | 10-13 | 00:24:12.0 | 00:24:08.6 | |||||
| 60 | 382 | Female | 14-18 | 00:24:22.9 | 00:24:19.0 | |||||
| 61 | 112 | Male | 19-29 | 00:24:46.9 | 00:24:22.9 | |||||
| 62 | 296 | Female | 19-29 | 00:24:54.8 | 00:24:28.8 | |||||
| 63 | 315 | Male | 30-39 | 00:24:55.4 | 00:24:44.9 | |||||
| 64 | 377 | Female | 14-18 | 00:24:49.9 | 00:24:45.6 | |||||
| 65 | 247 | Female | 10-13 | 00:24:54.9 | 00:24:46.7 | |||||
| 66 | 148 | Female | 40-49 | 00:25:00.8 | 00:24:48.4 | |||||
| 67 | 80 | Female | 50-59 | 00:24:56.8 | 00:24:48.8 | |||||
| 68 | 228 | Male | 40-49 | 00:25:10.6 | 00:24:56.3 | |||||
| 69 | 127 | Female | 14-18 | 00:25:04.7 | 00:24:59.1 | |||||
| 70 | 386 | Female | 10-13 | 00:25:10.5 | 00:25:00.2 | |||||
| 71 | 154 | Female | 40-49 | 00:25:13.2 | 00:25:06.2 | |||||
| 72 | 150 | Male | 40-49 | 00:25:20.1 | 00:25:10.0 | |||||
| 73 | 42 | Male | 30-39 | 00:25:34.1 | 00:25:19.2 | |||||
| 74 | 347 | Female | 14-18 | 00:25:50.4 | 00:25:43.6 | |||||
| 75 | 331 | Male | 10-13 | 00:25:56.4 | 00:25:49.0 | |||||
| 76 | 289 | Male | 7 – 9 Years old | 00:26:08.3 | 00:25:51.5 | |||||
| 77 | 317 | Male | 14-18 | 00:26:09.5 | 00:25:53.4 | |||||
| 78 | 292 | Female | 40-49 | 00:26:09.9 | 00:25:53.5 | |||||
| 79 | 313 | Male | 40-49 | 00:26:28.7 | 00:25:54.8 | |||||
| 80 | 360 | Female | 10-13 | 00:26:37.2 | 00:26:02.6 | |||||
| 81 | 206 | Male | 10-13 | 00:26:14.9 | 00:26:07.4 | |||||
| 82 | 383 | Female | 14-18 | 00:26:12.5 | 00:26:08.0 | |||||
| 83 | 272 | Male | 7 – 9 Years old | 00:26:15.6 | 00:26:11.2 | |||||
| 84 | 220 | Female | 10-13 | 00:26:16.0 | 00:26:13.3 | |||||
| 85 | 171 | Male | 10-13 | 00:26:39.6 | 00:26:15.8 | |||||
| 86 | 181 | Male | 50-59 | 00:26:33.7 | 00:26:24.9 | |||||
| 87 | 229 | Female | 14-18 | 00:26:49.3 | 00:26:35.0 | |||||
| 88 | 58 | Male | 40-49 | 00:27:01.6 | 00:26:54.5 | |||||
| 89 | 44 | Male | 10-13 | 00:27:02.4 | 00:26:56.7 | |||||
| 90 | 291 | Male | 10-13 | 00:27:20.6 | 00:27:16.6 | |||||
| 91 | 239 | Female | 10-13 | 00:27:48.3 | 00:27:27.2 | |||||
| 92 | 209 | Male | 10-13 | 00:28:04.7 | 00:27:32.0 | |||||
| 93 | 212 | Male | 50-59 | 00:27:46.0 | 00:27:34.3 | |||||
| 94 | 252 | Female | 10-13 | 00:28:41.4 | 00:27:36.1 | |||||
| 95 | 251 | Male | 40-49 | 00:28:40.9 | 00:27:36.6 | |||||
| 96 | 249 | Female | 7 – 9 Years old | 00:28:41.4 | 00:27:37.2 | |||||
| 97 | 242 | Female | 14-18 | 00:28:04.8 | 00:27:37.4 | |||||
| 98 | 404 | Female | 19-29 | 00:28:55.1 | 00:27:57.0 | |||||
| 99 | 110 | Female | 19-29 | 00:28:28.2 | 00:28:01.6 | |||||
| 100 | 390 | Male | 19-29 | 00:30:23.8 | 00:28:04.5 | |||||
| 101 | 54 | Male | 30-39 | 00:28:32.4 | 00:28:05.7 | |||||
| 102 | 92 | Male | 7 – 9 Years old | 00:29:08.4 | 00:28:07.6 | |||||
| 103 | 76 | Female | 10-13 | 00:28:14.4 | 00:28:07.8 | |||||
| 104 | 250 | Female | 30-39 | 00:29:08.5 | 00:28:09.0 | |||||
| 105 | 284 | Female | 19-29 | 00:28:54.3 | 00:28:14.4 | |||||
| 106 | 188 | Female | 10-13 | 00:28:23.0 | 00:28:14.8 | |||||
| 107 | 224 | Male | 19-29 | 00:28:54.5 | 00:28:14.9 | |||||
| 108 | 74 | Male | 10-13 | 00:28:24.6 | 00:28:17.1 | |||||
| 109 | 57 | Female | 10-13 | 00:28:24.6 | 00:28:19.2 | |||||
| 110 | 109 | Male | 14-18 | 00:28:48.8 | 00:28:24.4 | |||||
| 111 | 18 | Male | 10-13 | 00:28:32.5 | 00:28:26.2 | |||||
| 112 | 152 | Female | 14-18 | 00:29:05.0 | 00:28:30.3 | |||||
| 113 | 403 | Female | 14-18 | 00:28:43.9 | 00:28:36.1 | |||||
| 114 | 113 | Male | 40-49 | 00:29:00.9 | 00:28:36.3 | |||||
| 115 | 295 | Female | 19-29 | 00:29:02.5 | 00:28:36.5 | |||||
| 116 | 17 | Male | 40-49 | 00:29:06.3 | 00:28:38.8 | |||||
| 117 | 64 | Male | 14-18 | 00:29:18.2 | 00:28:40.0 | |||||
| 118 | 97 | Male | 10-13 | 00:29:14.3 | 00:28:43.6 | |||||
| 119 | 49 | Male | 14-18 | 00:28:51.0 | 00:28:46.6 | |||||
| 120 | 126 | Female | 60-99 | 00:29:13.9 | 00:28:55.1 | |||||
| 121 | 77 | Female | 14-18 | 00:29:07.9 | 00:28:59.9 | |||||
| 122 | 277 | Female | 40-49 | 00:29:57.8 | 00:29:03.5 | |||||
| 123 | 269 | Male | 60-99 | 00:29:56.9 | 00:29:03.9 | |||||
| 124 | 340 | Female | 40-49 | 00:29:40.4 | 00:29:10.5 | |||||
| 125 | 137 | Male | 60-99 | 00:29:46.7 | 00:29:18.8 | |||||
| 126 | 123 | Female | 60-99 | 00:29:43.4 | 00:29:25.8 | |||||
| 127 | 151 | Male | 19-29 | 00:29:40.8 | 00:29:31.8 | |||||
| 128 | 312 | Male | 14-18 | 00:30:06.4 | 00:29:33.2 | |||||
| 129 | 389 | Female | 10-13 | 00:29:38.8 | 00:29:34.5 | |||||
| 130 | 157 | Male | 14-18 | 00:29:57.4 | 00:29:36.6 | |||||
| 131 | 85 | Male | 19-29 | 00:29:44.9 | 00:29:36.9 | |||||
| 132 | 243 | Female | 40-49 | 00:30:16.8 | 00:29:41.5 | |||||
| 133 | 27 | Male | 40-49 | 00:29:53.7 | 00:29:42.8 | |||||
| 134 | 268 | Male | 14-18 | 00:30:21.2 | 00:29:43.6 | |||||
| 135 | 319 | Male | 60-99 | 00:30:12.9 | 00:29:51.8 | |||||
| 136 | 169 | Male | 60-99 | 00:31:00.8 | 00:29:59.4 | |||||
| 137 | 12 | Female | 30-39 | 00:30:43.0 | 00:30:06.2 | |||||
| 138 | 320 | Male | 50-59 | 00:30:26.9 | 00:30:10.0 | |||||
| 139 | 327 | Male | 7 – 9 Years old | 00:30:12.2 | 00:30:12.2 | |||||
| 140 | 38 | Male | 7 – 9 Years old | 00:30:31.9 | 00:30:16.1 | |||||
| 141 | 111 | Female | 40-49 | 00:30:41.8 | 00:30:17.3 | |||||
| 142 | 20 | Female | 40-49 | 00:30:58.9 | 00:30:18.1 | |||||
| 143 | 166 | Male | 50-59 | 00:31:01.1 | 00:30:18.7 | |||||
| 144 | 211 | Male | 40-49 | 00:31:17.9 | 00:30:18.9 | |||||
| 145 | 321 | Male | 10-13 | 00:30:26.5 | 00:30:23.0 | |||||
| 146 | 65 | Male | 30-39 | 00:31:14.6 | 00:30:42.0 | |||||
| 147 | 282 | Male | 10-13 | 00:31:16.7 | 00:30:42.5 | |||||
| 148 | 60 | Female | 30-39 | 00:31:24.9 | 00:30:55.8 | |||||
| 149 | 285 | Male | 50-59 | 00:31:38.9 | 00:30:58.4 | |||||
| 150 | 210 | Male | 7 – 9 Years old | 00:31:31.4 | 00:30:58.9 | |||||
| 151 | 25 | Female | 50-59 | 00:32:09.9 | 00:31:02.8 | |||||
| 152 | 324 | Male | 40-49 | 00:31:53.0 | 00:31:32.4 | |||||
| 153 | 39 | Male | 7 – 9 Years old | 00:31:56.7 | 00:31:40.5 | |||||
| 154 | 118 | Male | 7 – 9 Years old | 00:32:09.4 | 00:31:44.4 | |||||
| 155 | 93 | Male | 14-18 | 00:32:32.9 | 00:32:01.3 | |||||
| 156 | 240 | Male | 7 – 9 Years old | 00:32:29.2 | 00:32:13.1 | |||||
| 157 | 346 | Female | 60-99 | 00:32:42.3 | 00:32:34.3 | |||||
| 158 | 10 | Female | 19-29 | 00:33:30.5 | 00:32:40.2 | |||||
| 159 | 318 | Male | 10-13 | 00:32:44.8 | 00:32:41.4 | |||||
| 160 | 28 | Female | 40-49 | 00:33:19.9 | 00:32:47.9 | |||||
| 161 | 99 | Female | 60-99 | 00:33:14.2 | 00:32:56.6 | |||||
| 162 | 314 | Female | 40-49 | 00:34:21.1 | 00:32:59.6 | |||||
| 163 | 345 | Male | 60-99 | 00:33:18.8 | 00:33:11.8 | |||||
| 164 | 134 | Male | 10-13 | 00:34:11.1 | 00:33:13.8 | |||||
| 165 | 61 | Female | 14-18 | 00:33:26.7 | 00:33:21.2 | |||||
| 166 | 132 | Female | 40-49 | 00:34:31.2 | 00:33:31.9 | |||||
| 167 | 341 | Male | 7 – 9 Years old | 00:34:20.3 | 00:33:35.2 | |||||
| 168 | 344 | Male | 40-49 | 00:34:19.9 | 00:33:35.8 | |||||
| 169 | 9 | Female | 60-99 | 00:33:59.7 | 00:33:49.1 | |||||
| 170 | 391 | Male | 30-39 | 00:36:08.2 | 00:33:50.3 | |||||
| 171 | 275 | Male | 14-18 | 00:34:11.7 | 00:33:51.4 | |||||
| 172 | 398 | Male | 14-18 | 00:35:43.8 | 00:34:01.3 | |||||
| 173 | 219 | Female | 30-39 | 00:35:09.6 | 00:34:19.6 | |||||
| 174 | 102 | Female | 40-49 | 00:35:24.9 | 00:34:25.4 | |||||
| 175 | 75 | Female | 40-49 | 00:34:46.5 | 00:34:34.2 | |||||
| 176 | 223 | Male | 40-49 | 00:35:22.4 | 00:34:40.8 | |||||
| 177 | 349 | Male | 7 – 9 Years old | 00:35:02.0 | 00:34:49.2 | |||||
| 178 | 350 | Male | 40-49 | 00:35:01.4 | 00:34:49.9 | |||||
| 179 | 95 | Male | 30-39 | 00:37:02.4 | 00:34:51.5 | |||||
| 180 | 259 | Male | 10-13 | 00:35:12.6 | 00:35:03.2 | |||||
| 181 | 66 | Male | 10-13 | 00:35:08.2 | 00:35:03.9 | |||||
| 182 | 361 | Male | 7 – 9 Years old | 00:35:44.4 | 00:35:09.9 | |||||
| 183 | 238 | Male | 7 – 9 Years old | 00:35:26.7 | 00:35:12.4 | |||||
| 184 | 401 | Male | 19-29 | 00:36:56.4 | 00:35:14.1 | |||||
| 185 | 221 | Male | 40-49 | 00:37:34.5 | 00:35:18.5 | |||||
| 186 | 199 | Female | 60-99 | 00:36:44.0 | 00:35:19.2 | |||||
| 187 | 78 | Male | 7 – 9 Years old | 00:35:45.4 | 00:35:32.4 | |||||
| 188 | 73 | Male | 40-49 | 00:35:45.5 | 00:35:32.9 | |||||
| 189 | 124 | Male | 60-99 | 00:37:38.8 | 00:35:38.6 | |||||
| 190 | 67 | Male | 10-13 | 00:35:51.2 | 00:35:46.0 | |||||
| 191 | 338 | Female | 14-18 | 00:36:15.3 | 00:35:46.0 | |||||
| 192 | 63 | Male | 7 – 9 Years old | 00:35:59.4 | 00:35:56.3 | |||||
| 193 | 19 | Female | 7 – 9 Years old | 00:36:28.2 | 00:35:58.5 | |||||
| 194 | 204 | Male | 40-49 | 00:37:17.0 | 00:35:58.5 | |||||
| 195 | 205 | Male | 7 – 9 Years old | 00:37:17.4 | 00:35:58.7 | |||||
| 196 | 245 | Male | 40-49 | 00:37:06.4 | 00:36:28.0 | |||||
| 197 | 51 | Female | 10-13 | 00:37:53.5 | 00:36:30.4 | |||||
| 198 | 131 | Male | 10-13 | 00:37:31.2 | 00:36:34.6 | |||||
| 199 | 322 | Female | 14-18 | 00:37:08.8 | 00:36:34.7 | |||||
| 200 | 133 | Female | 40-49 | 00:37:31.6 | 00:36:35.7 | |||||
| 201 | 388 | Male | 7 – 9 Years old | 00:37:30.9 | 00:37:01.2 | |||||
| 202 | 16 | Male | 60-99 | 00:37:58.0 | 00:37:19.4 | |||||
| 203 | 283 | Male | 60-99 | 00:40:07.9 | 00:37:32.6 | |||||
| 204 | 287 | Female | 50-59 | 00:38:14.7 | 00:37:33.3 | |||||
| 205 | 172 | Male | 7 – 9 Years old | 00:38:09.4 | 00:37:53.7 | |||||
| 206 | 50 | Female | 40-49 | 00:39:26.1 | 00:38:02.8 | |||||
| 207 | 26 | Female | 40-49 | 00:39:40.4 | 00:38:23.8 | |||||
| 208 | 399 | Female | 10-13 | 00:39:19.9 | 00:38:29.9 | |||||
| 209 | 400 | Female | 10-13 | 00:39:21.8 | 00:38:32.4 | |||||
| 210 | 353 | Female | 10-13 | 00:40:50.9 | 00:38:41.1 | |||||
| 211 | 355 | Female | 14-18 | 00:40:51.8 | 00:38:42.2 | |||||
| 212 | 297 | Female | 10-13 | 00:40:25.3 | 00:38:55.4 | |||||
| 213 | 253 | Female | 30-39 | 00:39:58.6 | 00:39:21.6 | |||||
| 214 | 300 | Female | 7 – 9 Years old | 00:40:53.4 | 00:39:22.2 | |||||
| 215 | 15 | Female | 40-49 | 00:40:02.2 | 00:39:33.3 | |||||
| 216 | 83 | Female | 40-49 | 00:41:50.8 | 00:40:33.8 | |||||
| 217 | 170 | Male | 60-99 | 00:42:37.7 | 00:41:32.2 | |||||
| 218 | 323 | Male | 10-13 | 00:42:14.8 | 00:41:40.5 | |||||
| 219 | 273 | Male | 7 – 9 Years old | 00:41:52.4 | 00:41:48.7 | |||||
| 220 | 14 | Female | 50-59 | 00:44:12.4 | 00:42:11.5 | |||||
| 221 | 342 | Female | 40-49 | 00:43:17.4 | 00:42:31.0 | |||||
| 222 | 43 | Male | 10-13 | 00:43:41.3 | 00:42:31.8 | |||||
| 223 | 339 | Female | 14-18 | 00:44:19.7 | 00:43:51.0 | |||||
| 224 | 162 | Female | 7 – 9 Years old | 00:45:21.4 | 00:44:27.6 | |||||
| 225 | 168 | Female | 50-59 | 00:49:39.3 | 00:47:00.7 | |||||
| 226 | 265 | Female | 19-29 | 00:48:27.0 | 00:47:36.2 | |||||
| 227 | 88 | Male | 19-29 | 00:48:27.2 | 00:47:36.2 | |||||
| 228 | 108 | Female | 10-13 | 00:49:58.4 | 00:48:41.4 | |||||
| 229 | 107 | Female | 7 – 9 Years old | 00:49:58.4 | 00:48:41.9 | |||||
| 230 | 298 | Female | 40-49 | 00:50:50.5 | 00:49:15.4 | |||||
| 231 | 84 | Male | 40-49 | 00:52:45.8 | 00:50:40.9 | |||||
| 232 | 7 | Male | 60-99 | 00:53:48.8 | 00:52:24.6 | |||||
| 233 | 222 | Male | 14-18 | 00:55:23.9 | 00:53:11.1 | |||||
| 234 | 89 | Male | 19-29 | 00:55:16.4 | 00:53:33.1 | |||||
| 235 | 86 | Female | 40-49 | 00:55:16.4 | 00:53:35.8 | |||||
| 236 | 87 | Male | 50-59 | 00:55:18.2 | 00:53:37.4 | |||||
| 237 | 34 | Male | 7 – 9 Years old | 00:56:19.0 | 00:54:22.2 | |||||
| 238 | 36 | Female | 30-39 | 00:56:18.7 | 00:54:22.7 | |||||
| 239 | 45 | Female | 40-49 | 00:56:20.2 | 00:54:23.2 | |||||
| 240 | 299 | Male | 50-59 | 00:56:27.7 | 00:54:53.9 | |||||
| 241 | 158 | Male | 10-13 | 00:58:34.9 | 00:55:17.8 | |||||
| 242 | 160 | Female | 19-29 | 00:58:35.7 | 00:55:18.8 | |||||
| 243 | 165 | Male | 19-29 | 01:00:29.2 | 00:57:52.3 | |||||
| 244 | 167 | Female | 19-29 | 01:00:29.2 | 00:57:52.7 | |||||
| 245 | 380 | Female | 60-99 | 01:01:04.7 | 00:59:39.1 | |||||
| 246 | 304 | Male | 50-59 | 01:03:53.4 | 01:01:44.3 | |||||
| 247 | 303 | Female | 19-29 | 01:03:55.8 | 01:01:45.6 | |||||
| 248 | 301 | Male | 19-29 | 01:03:58.3 | 01:01:48.9 | |||||
| 249 | 302 | Female | 19-29 | 01:04:25.8 | 01:02:13.5 | |||||
| 250 | 305 | Female | 50-59 | 01:04:25.4 | 01:02:14.7 | |||||
| 251 | 203 | Male | 19-29 | 01:04:28.0 | 01:02:15.7 | |||||
| 252 | 40 | Male | 6 & Under | 01:03:35.3 | 01:02:16.2 | |||||
| 253 | 359 | Female | 7 – 9 Years old | 01:03:59.3 | 01:03:25.1 | |||||
| 254 | 356 | Male | 40-49 | 01:06:43.2 | 01:04:29.7 | |||||
| 255 | 354 | Female | 60-99 | 01:07:09.0 | 01:04:51.9 | |||||
| 256 | 357 | Female | 40-49 | 01:07:03.9 | 01:04:53.5 | |||||
| 257 | 358 | Male | 60-99 | 01:07:11.1 | 01:04:57.2 | |||||
| 258 | 159 | Male | 19-29 | 01:09:03.4 | 01:05:33.3 | |||||
| 259 | 161 | Female | 50-59 | 01:09:10.0 | 01:05:39.5 | |||||
| – | 1 | Male | 60-99 | Not started | Not started | |||||
| – | 100 | Male | 7 – 9 Years old | Not started | Not started | |||||
| – | 104 | Male | 10-13 | Not started | Not started | |||||
| – | 11 | Female | 14-18 | Not started | Not started | |||||
| – | 114 | Female | 19-29 | Not started | Not started | |||||
| – | 115 | Male | 7 – 9 Years old | Not started | Not started | |||||
| – | 116 | Female | 40-49 | Not started | Not started | |||||
| – | 117 | Female | 60-99 | Not started | Not started | |||||
| – | 119 | Male | 7 – 9 Years old | Not started | Not started | |||||
| – | 120 | Female | 7 – 9 Years old | Not started | Not started | |||||
| – | 121 | Male | 40-49 | Not started | Not started | |||||
| – | 122 | Female | 30-39 | Not started | Not started | |||||
| – | 125 | Female | 40-49 | Not started | Not started | |||||
| – | 135 | Male | 40-49 | Started | Started | |||||
| – | 136 | Male | 10-13 | Started | Started | |||||
| – | 138 | Female | 30-39 | Not started | Not started | |||||
| – | 140 | Female | 40-49 | Not started | Not started | |||||
| – | 142 | Female | 40-49 | Not started | Not started | |||||
| – | 143 | Female | 60-99 | Not started | Not started | |||||
| – | 144 | Male | 60-99 | Not started | Not started | |||||
| – | 163 | Male | 40-49 | Started | Started | |||||
| – | 164 | Female | 19-29 | Not started | Not started | |||||
| – | 173 | Male | 60-99 | Not started | Not started | |||||
| – | 174 | Male | 60-99 | Not started | Not started | |||||
| – | 175 | Female | 60-99 | Not started | Not started | |||||
| – | 176 | Male | 30-39 | Not started | Not started | |||||
| – | 180 | Male | 50-59 | Not started | Not started | |||||
| – | 183 | Female | 14-18 | Not started | Not started | |||||
| – | 184 | Male | 50-59 | Not started | Not started | |||||
| – | 185 | Female | 50-59 | Not started | Not started | |||||
| – | 186 | Female | 40-49 | Not started | Not started | |||||
| – | 189 | Female | 50-59 | Not started | Not started | |||||
| – | 190 | Male | 60-99 | Not started | Not started | |||||
| – | 191 | Male | 50-59 | Not started | Not started | |||||
| – | 192 | Male | 19-29 | Not started | Not started | |||||
| – | 193 | Female | 60-99 | Not started | Not started | |||||
| – | 194 | Male | 60-99 | Not started | Not started | |||||
| – | 197 | Male | 10-13 | Not started | Not started | |||||
| – | 2 | Male | 7 – 9 Years old | Not started | Not started | |||||
| – | 201 | Female | 30-39 | Not started | Not started | |||||
| – | 202 | Female | 30-39 | Not started | Not started | |||||
| – | 207 | Male | 7 – 9 Years old | Not started | Not started | |||||
| – | 21 | Male | 7 – 9 Years old | Not started | Not started | |||||
| – | 213 | Female | 40-49 | Not started | Not started | |||||
| – | 214 | Male | 6 & Under | Not started | Not started | |||||
| – | 215 | Male | 40-49 | Not started | Not started | |||||
| – | 216 | Female | 7 – 9 Years old | Not started | Not started | |||||
| – | 217 | Female | 10-13 | Not started | Not started | |||||
| – | 22 | Female | 40-49 | Not started | Not started | |||||
| – | 225 | Male | 50-59 | Not started | Not started | |||||
| – | 226 | Female | 40-49 | Not started | Not started | |||||
| – | 227 | Male | 60-99 | Not started | Not started | |||||
| – | 23 | Male | 10-13 | Not started | Not started | |||||
| – | 230 | Male | 10-13 | Not started | Not started | |||||
| – | 231 | Male | 40-49 | Not started | Not started | |||||
| – | 234 | Male | 10-13 | Not started | Not started | |||||
| – | 235 | Male | 7 – 9 Years old | Not started | Not started | |||||
| – | 236 | Female | 50-59 | Not started | Not started | |||||
| – | 237 | Male | 40-49 | Not started | Not started | |||||
| – | 24 | Female | 7 – 9 Years old | Not started | Not started | |||||
| – | 241 | Male | 6 & Under | Not started | Not started | |||||
| – | 244 | Male | 10-13 | Not started | Not started | |||||
| – | 254 | Female | 10-13 | Not started | Not started | |||||
| – | 256 | Male | 10-13 | Not started | Not started | |||||
| – | 258 | Male | 30-39 | Not started | Not started | |||||
| – | 260 | Male | 6 & Under | Not started | Not started | |||||
| – | 261 | Male | 7 – 9 Years old | Not started | Not started | |||||
| – | 262 | Male | 6 & Under | Not started | Not started | |||||
| – | 263 | Female | 10-13 | Not started | Not started | |||||
| – | 266 | Male | 10-13 | Not started | Not started | |||||
| – | 270 | Male | 14-18 | Not started | Not started | |||||
| – | 271 | Male | 14-18 | Not started | Not started | |||||
| – | 280 | Male | 7 – 9 Years old | Not started | Not started | |||||
| – | 286 | Female | 19-29 | Not started | Not started | |||||
| – | 288 | Female | 19-29 | Not started | Not started | |||||
| – | 29 | Male | 10-13 | Not started | Not started | |||||
| – | 290 | Female | 10-13 | Not started | Not started | |||||
| – | 293 | Male | 60-99 | Not started | Not started | |||||
| – | 294 | Female | 60-99 | Not started | Not started | |||||
| – | 3 | Female | 10-13 | Not started | Not started | |||||
| – | 30 | Male | 14-18 | Not started | Not started | |||||
| – | 306 | Female | 50-59 | Not started | Not started | |||||
| – | 307 | Male | 50-59 | Not started | Not started | |||||
| – | 308 | Male | 50-59 | Not started | Not started | |||||
| – | 309 | Female | 50-59 | Not started | Not started | |||||
| – | 31 | Female | 50-59 | Not started | Not started | |||||
| – | 310 | Female | 50-59 | Not started | Not started | |||||
| – | 311 | Female | 50-59 | Not started | Not started | |||||
| – | 316 | Male | 10-13 | Not started | Not started | |||||
| – | 32 | Female | 40-49 | Not started | Not started | |||||
| – | 325 | Male | 30-39 | Not started | Not started | |||||
| – | 326 | Female | 30-39 | Not started | Not started | |||||
| – | 33 | Female | 60-99 | Not started | Not started | |||||
| – | 330 | Male | 40-49 | Not started | Not started | |||||
| – | 332 | Male | 60-99 | Not started | Not started | |||||
| – | 333 | Female | 10-13 | Not started | Not started | |||||
| – | 334 | Female | 14-18 | Not started | Not started | |||||
| – | 335 | Male | 14-18 | Not started | Not started | |||||
| – | 336 | Female | 40-49 | Not started | Not started | |||||
| – | 337 | Male | 40-49 | Not started | Not started | |||||
| – | 348 | Male | 7 – 9 Years old | Not started | Not started | |||||
| – | 35 | Male | 40-49 | Not started | Not started | |||||
| – | 351 | Female | 30-39 | Not started | Not started | |||||
| – | 362 | Male | 30-39 | Not started | Not started | |||||
| – | 363 | Female | 40-49 | Not started | Not started | |||||
| – | 364 | Male | 40-49 | Not started | Not started | |||||
| – | 37 | Female | 50-59 | Not started | Not started | |||||
| – | 379 | Female | 40-49 | Not started | Not started | |||||
| – | 387 | Male | 40-49 | Not started | Not started | |||||
| – | 392 | Male | 19-29 | Not started | Not started | |||||
| – | 393 | Female | 10-13 | Not started | Not started | |||||
| – | 394 | Female | 7 – 9 Years old | Not started | Not started | |||||
| – | 396 | Female | 30-39 | Not started | Not started | |||||
| – | 4 | Male | 40-49 | Not started | Not started | |||||
| – | 41 | Female | 40-49 | Started | Started | |||||
| – | 48 | Male | 40-49 | Started | Started | |||||
| – | 5 | Male | 6 & Under | Not started | Not started | |||||
| – | 52 | Male | 19-29 | Not started | Not started | |||||
| – | 55 | Female | 7 – 9 Years old | Not started | Not started | |||||
| – | 56 | Male | 6 & Under | Not started | Not started | |||||
| – | 6 | Male | 10-13 | Not started | Not started | |||||
| – | 62 | Female | 40-49 | Not started | Not started | |||||
| – | 68 | Female | 30-39 | Not started | Not started | |||||
| – | 69 | Male | 40-49 | Not started | Not started | |||||
| – | 70 | Male | 10-13 | Not started | Not started | |||||
| – | 72 | Female | 6 & Under | Not started | Not started | |||||
| – | 79 | Male | 60-99 | Not started | Not started | |||||
| – | 8 | Male | 19-29 | Not started | Not started | |||||
| – | 81 | Male | 14-18 | Not started | Not started | |||||
| – | 82 | Female | 14-18 | Not started | Not started | |||||
| – | 90 | Male | 40-49 | Not started | Not started | |||||
| – | 91 | Male | 7 – 9 Years old | Not started | Not started | |||||
| – | 96 | Male | 30-39 | Not started | Not started |
No results match the current filters.