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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 | Andrey Yatskov | M30-34 | 48:18 | -19:53 |
| 2 | Jaewon Kim | M30-34 | 51:31 | -16:40 |
| 3 | Yong Zhao | M40-44 | 51:37 | -16:34 |
| 4 | Qi Dang | M40-44 | 51:45 | -16:26 |
| 5 | Genjiro Wakayama | M40-44 | 52:00 | -16:11 |
| 6 | Grisha Payne | M30-34 | 52:36 | -15:35 |
| 7 | Kaustubh Radkar | M35-39 | 52:38 | -15:33 |
| 8 | Masayuki Sakaguchi | M40-44 | 52:59 | -15:12 |
| 9 | Dongdong Liu | M35-39 | 55:01 | -13:10 |
| 10 | Martin Mahringer | M30-34 | 55:05 | -13:06 |
| Rank | Name | AG | Time | Diff |
|---|---|---|---|---|
| 1 | Sumiko Tan | F30-34 | 1:05:01 | -3:10 |
| 2 | Shridevi Vasudeva | F30-34 | 1:08:11 | - |
| 3 | Amanda Payne | F30-34 | 1:11:36 | +3:25 |
| 4 | June Kang | F30-34 | 1:18:32 | +10:21 |
| 5 | Eunjung Cho | F30-34 | 1:19:40 | +11:29 |
| 6 | Wanping Huang | F30-34 | 1:22:49 | +14:38 |
| 7 | Nesly Stahl | F30-34 | 1:30:34 | +22:23 |
| 8 | Biyun Yang | F30-34 | 1:31:37 | +23:26 |
| 9 | Ling Fan | F30-34 | 1:45:11 | +37:00 |
| 10 | Xi Li | F30-34 | 1:48:03 | +39:52 |