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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 | Markus Eugl | M35-39 | 47:16 | -13:50 |
| 2 | Zbyn K Hra¨e | M35-39 | 48:32 | -12:34 |
| 3 | Michela Menegon | F35-39 | 49:29 | -11:37 |
| 4 | Georg Findenig | M30-34 | 49:34 | -11:32 |
| 5 | Kieran Daly | M30-34 | 49:44 | -11:22 |
| 6 | Lars Rucktäschel | M30-34 | 49:52 | -11:14 |
| 7 | Andy Windett | M30-34 | 49:58 | -11:08 |
| 8 | Qi Dang | M35-39 | 50:03 | -11:03 |
| 9 | Sergio RUSSO | M35-39 | 50:09 | -10:57 |
| 10 | Markus Keller | M45-49 | 50:34 | -10:32 |
| Rank | Name | AG | Time | Diff |
|---|---|---|---|---|
| 1 | Lena Pernold | F30-34 | 52:17 | -8:49 |
| 2 | Manuela Heimerl | F30-34 | 54:48 | -6:18 |
| 3 | Krista Terämaa | F30-34 | 58:03 | -3:03 |
| 4 | Tanja Schweiger | F30-34 | 58:04 | -3:02 |
| 5 | Kayla Kielar | F30-34 | 58:36 | -2:30 |
| 6 | Leila Künzel | F30-34 | 1:00:21 | -0:45 |
| 7 | Michelle Creed | F30-34 | 1:00:25 | -0:41 |
| 8 | Nina Vabic | F30-34 | 1:00:59 | -0:07 |
| 9 | Sabine Buxhofer | F30-34 | 1:01:06 | - |
| 10 | Osnat Madar | F30-34 | 1:02:09 | +1:03 |