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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 | Rostyagaev Dmitry | M30-34 | 26:07 | -18:04 |
| 2 | John Heiland | M25-29 | 26:25 | -17:46 |
| 3 | Georg Enzenberger | M25-29 | 26:30 | -17:41 |
| 4 | Kuba Carda | M30-34 | 26:40 | -17:31 |
| 5 | Dennis März | M25-29 | 26:44 | -17:27 |
| 6 | Thomas Bouyer | M25-29 | 26:51 | -17:20 |
| 7 | Marvin Wetzk | M25-29 | 27:03 | -17:08 |
| 8 | Marton Flander | M30-34 | 27:13 | -16:58 |
| 9 | Tom Hohenadl | M18-24 | 27:17 | -16:54 |
| 10 | Florian Schedlbauer | M35-39 | 27:20 | -16:51 |
| Rank | Name | AG | Time | Diff |
|---|---|---|---|---|
| 1 | Paola Sarmento E Falcoski | F30-34 | 28:15 | -15:56 |
| 2 | Ivett Nagy | F30-34 | 31:14 | -12:57 |
| 3 | Doris Gschwandtl | F30-34 | 32:39 | -11:32 |
| 4 | Ewa Papla | F30-34 | 32:50 | -11:21 |
| 5 | Ulli Haumer | F30-34 | 33:19 | -10:52 |
| 6 | Veronika Prükler | F30-34 | 33:31 | -10:40 |
| 7 | Anne Kirsten | F30-34 | 33:38 | -10:33 |
| 8 | Denise Katerla | F30-34 | 33:56 | -10:15 |
| 9 | Nathalie Giloy | F30-34 | 34:16 | -9:55 |
| 10 | Astrid Werner | F30-34 | 34:56 | -9:15 |