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50 is average. Blue=overall, Yellow=age group. 60+ is top ~16%, 70+ is top ~2%
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Want to create a personalized, professional training plan?| Rank | Name | AG | Time | Diff |
|---|---|---|---|---|
| 1 | Franck MARTIN | M35-39 | 46:11 | -16:13 |
| 2 | Thomas Dessau | M40-44 | 49:21 | -13:03 |
| 3 | Thilo Strauß | M30-34 | 49:30 | -12:54 |
| 4 | Matthew T Molloy | M40-44 | 49:32 | -12:52 |
| 5 | Thomas Schmidt | M25-29 | 50:16 | -12:08 |
| 6 | Robin Chudalla | M40-44 | 50:33 | -11:51 |
| 7 | Юрий Сарамутин | M40-44 | 50:48 | -11:36 |
| 8 | Jonathan Airey | M25-29 | 50:50 | -11:34 |
| 9 | Anne Kuhn | F35-39 | 50:51 | -11:33 |
| 10 | Dwight Senduk | M35-39 | 50:53 | -11:31 |
| Rank | Name | AG | Time | Diff |
|---|---|---|---|---|
| 1 | Tanja Adler | F30-34 | 51:57 | -10:27 |
| 2 | Astrid Ganzow | F30-34 | 56:15 | -6:09 |
| 3 | Marylise Pansart | F30-34 | 56:37 | -5:47 |
| 4 | Mabel Gallardo Garcia | F30-34 | 57:42 | -4:42 |
| 5 | Nina Keul | F30-34 | 59:40 | -2:44 |
| 6 | Kelly Stokes | F30-34 | 1:01:22 | -1:02 |
| 7 | Monika Keunecke | F30-34 | 1:01:52 | -0:32 |
| 8 | Daniela Hafner | F30-34 | 1:02:24 | - |
| 9 | Verena Bentin | F30-34 | 1:02:45 | +0:21 |
| 10 | Janina Swetlik | F30-34 | 1:03:00 | +0:36 |