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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 | Daniel Klosa | M25-29 | 24:55 | -9:32 |
| 2 | Jonas De Wachter | M25-29 | 25:16 | -9:11 |
| 3 | Niklas Dellke | M25-29 | 25:31 | -8:56 |
| 4 | Pascal Stutz | M25-29 | 27:01 | -7:26 |
| 5 | Mathew Horvath | M35-39 | 27:33 | -6:54 |
| 6 | Michael Arndt | M50-54 | 28:08 | -6:19 |
| 7 | Zsolt Szunyog | M55-59 | 28:11 | -6:16 |
| 8 | Danny Boom | M35-39 | 28:13 | -6:14 |
| 9 | Lasse Koch | M25-29 | 28:23 | -6:04 |
| 10 | Lubomir Redaj | M35-39 | 28:25 | -6:02 |
| Rank | Name | AG | Time | Diff |
|---|---|---|---|---|
| 1 | Giorgia Toniato | F25-29 | 29:25 | -5:02 |
| 2 | Christine Pietzner | F25-29 | 29:58 | -4:29 |
| 3 | Celestina Kansy | F25-29 | 30:57 | -3:30 |
| 4 | Kinga Gibiec | F25-29 | 34:08 | -0:19 |
| 5 | Stefanie Christin Wedam | F25-29 | 34:17 | -0:10 |
| 6 | Sina Kleen | F25-29 | 34:24 | -0:03 |
| 7 | Mara Winden | F25-29 | 34:27 | - |
| 8 | Charlotte Petersen-Buckley | F25-29 | 35:29 | +1:02 |
| 9 | Anke De Boer | F25-29 | 35:48 | +1:21 |
| 10 | Jana Jedelska | F25-29 | 36:09 | +1:42 |