Rank | User | Pace | Time | Date | Dist | Match |
---|---|---|---|---|---|---|
1 | Lost | 5:08 | 26:01 Race |
Sep 2013 | 5.06 | 89% |
2 | Anonymous | 5:37 | 28:23 Race |
Sep 2009 | 5.06 | 92% |
3 | Anonymous | 5:42 | 28:36 | Dec 2015 | 5.02 | 86% |
4 | Anonymous | 5:49 | 28:58 | Sep 2013 | 4.98 | 88% |
5 | Anonymous | 5:55 | 29:39 | Dec 2016 | 5.01 | 86% |
6 | Anonymous | 5:55 | 29:40 Race |
Sep 2012 | 5.02 | 95% |
7 | Anonymous | 5:55 | 29:51 | Sep 2012 | 5.04 | 96% |
8 | Anonymous | 5:56 | 30:00 Race |
Sep 2012 | 5.06 | 96% |
9 | Anonymous | 6:05 | 30:32 Race |
Sep 2014 | 5.02 | 87% |
10 | dpfleet | 6:16 | 31:09 Race |
Dec 2016 | 4.97 | 85% |
11 | squall88_uk | 6:15 | 31:32 | Sep 2011 | 5.05 | 91% |
12 | Anonymous | 6:34 | 32:30 Race |
Sep 2013 | 4.95 | 86% |
13 | Anonymous | 6:45 | 33:44 Race |
Sep 2013 | 5.00 | 87% |
14 | Anonymous | 6:50 | 34:16 Race |
Sep 2014 | 5.01 | 86% |
15 | Anonymous | 6:46 | 34:22 Race |
Sep 2011 | 5.08 | 90% |
16 | martin437 | 6:56 | 34:47 Race |
Dec 2015 | 5.02 | 87% |
17 | fleety | 6:57 | 34:48 | Sep 2012 | 5.01 | 100% |
18 | Anonymous | 7:03 | 35:09 Race |
Sep 2012 | 4.98 | 95% |
19 | WeimaRunner | 7:11 | 35:57 Race |
Sep 2012 | 5.01 | 96% |
20 | Anonymous | 7:09 | 36:10 Race |
Sep 2010 | 5.06 | 93% |
21 | Anonymous | 7:15 | 36:17 Race |
Sep 2012 | 5.01 | 96% |
22 | Anonymous | 7:14 | 36:25 | May 2017 | 5.03 | 86% |
23 | Anonymous | 7:18 | 36:30 | Sep 2009 | 5.00 | 92% |
24 | Anonymous | 7:20 | 36:49 | Sep 2013 | 5.02 | 90% |
25 | Anonymous | 7:25 | 37:24 Race |
Sep 2009 | 5.04 | 92% |
26 | Anonymous | 7:39 | 38:30 Race |
Sep 2012 | 5.03 | 96% |
27 | eMpTy | 7:41 | 38:36 Race |
Sep 2012 | 5.02 | 97% |
28 | Alex B | 7:44 | 39:03 Race |
Dec 2015 | 5.05 | 87% |
29 | DavidGould | 7:56 | 39:42 Race |
Dec 2016 | 5.00 | 88% |
30 | Anonymous | 8:02 | 40:39 | Apr 2016 | 5.06 | 88% |
31 | Anonymous | 8:16 | 41:26 | Dec 2016 | 5.01 | 87% |
32 | Dina Mo | 8:41 | 43:42 | Sep 2012 | 5.03 | 96% |
33 | Anonymous | 8:53 | 44:38 | Dec 2015 | 5.02 | 86% |
Year | Attempts | Best | Time |
---|
FAQ
Why are the distances all different?GPS watches are never 100% accurate. The data they record varies each time you run. And on top of that, you probably never take exactly the same racing line each time.
Some of the distances are way off
Our algorithm needs to simplify your route in order to help match it to others. Occasionally this means that if you take a slight detour on your route, it's still classed as a match.