Loading...
50 is average. Blue=overall, Yellow=age group. 60+ is top ~16%, 70+ is top ~2%
AI coach analyzes your race results
AI coach creates a personalized training plan for you
Want to create a personalized, professional training plan?| Rank | Name | AG | Time | Diff |
|---|---|---|---|---|
| 1 | Franck MARTIN | M35-39 | 46:11 | -5:46 |
| 2 | Thomas Dessau | M40-44 | 49:21 | -2:36 |
| 3 | Thilo Strauß | M30-34 | 49:30 | -2:27 |
| 4 | Matthew T Molloy | M40-44 | 49:32 | -2:25 |
| 5 | Thomas Schmidt | M25-29 | 50:16 | -1:41 |
| 6 | Robin Chudalla | M40-44 | 50:33 | -1:24 |
| 7 | Юрий Сарамутин | M40-44 | 50:48 | -1:09 |
| 8 | Jonathan Airey | M25-29 | 50:50 | -1:07 |
| 9 | Anne Kuhn | F35-39 | 50:51 | -1:06 |
| 10 | Dwight Senduk | M35-39 | 50:53 | -1:04 |
| Rank | Name | AG | Time | Diff |
|---|---|---|---|---|
| 1 | Tanja Adler | F30-34 | 51:57 | - |
| 2 | Astrid Ganzow | F30-34 | 56:15 | +4:18 |
| 3 | Marylise Pansart | F30-34 | 56:37 | +4:40 |
| 4 | Mabel Gallardo Garcia | F30-34 | 57:42 | +5:45 |
| 5 | Nina Keul | F30-34 | 59:40 | +7:43 |
| 6 | Kelly Stokes | F30-34 | 1:01:22 | +9:25 |
| 7 | Monika Keunecke | F30-34 | 1:01:52 | +9:55 |
| 8 | Daniela Hafner | F30-34 | 1:02:24 | +10:27 |
| 9 | Verena Bentin | F30-34 | 1:02:45 | +10:48 |
| 10 | Janina Swetlik | F30-34 | 1:03:00 | +11:03 |