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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 | -12:07 |
| 2 | Jonas De Wachter | M25-29 | 25:16 | -11:46 |
| 3 | Niklas Dellke | M25-29 | 25:31 | -11:31 |
| 4 | Pascal Stutz | M25-29 | 27:01 | -10:01 |
| 5 | Mathew Horvath | M35-39 | 27:33 | -9:29 |
| 6 | Michael Arndt | M50-54 | 28:08 | -8:54 |
| 7 | Zsolt Szunyog | M55-59 | 28:11 | -8:51 |
| 8 | Danny Boom | M35-39 | 28:13 | -8:49 |
| 9 | Lasse Koch | M25-29 | 28:23 | -8:39 |
| 10 | Lubomir Redaj | M35-39 | 28:25 | -8:37 |
| Rank | Name | AG | Time | Diff |
|---|---|---|---|---|
| 1 | Giorgia Toniato | F25-29 | 29:25 | -7:37 |
| 2 | Christine Pietzner | F25-29 | 29:58 | -7:04 |
| 3 | Celestina Kansy | F25-29 | 30:57 | -6:05 |
| 4 | Kinga Gibiec | F25-29 | 34:08 | -2:54 |
| 5 | Stefanie Christin Wedam | F25-29 | 34:17 | -2:45 |
| 6 | Sina Kleen | F25-29 | 34:24 | -2:38 |
| 7 | Mara Winden | F25-29 | 34:27 | -2:35 |
| 8 | Charlotte Petersen-Buckley | F25-29 | 35:29 | -1:33 |
| 9 | Anke De Boer | F25-29 | 35:48 | -1:14 |
| 10 | Jana Jedelska | F25-29 | 36:09 | -0:53 |