RaceVolkslauf Hurth Half Marathon Ergebnisse M
Year2025
DistanceHalf marathon
Indexed finish records202
Fastest recorded net time01:12:26
FindMyRace is an independent search index, not the race organizer. Names and times remain subject to corrections by the timing provider.
Selected finish records
This sample is ordered by recorded net time. Athlete-name search shows the indexed race history.
| # | Bib | Name | Category | Club | Net time | Gross time |
|---|---|---|---|---|---|---|
| 1 | 1170 | Marian Bunte | 01:12:26 | |||
| 2 | 1236 | Gabriel Kusserow | 01:15:39 | |||
| 3 | 1177 | Oliver Baumert | 01:16:24 | |||
| 4 | 1174 | Daniel Bauer | 01:16:46 | |||
| 5 | 1226 | Thorsten Smeets | 01:17:26 | |||
| 6 | 1056 | Lukas Dotzauer | 01:17:34 | |||
| 7 | 1189 | Vladislav Heints | 01:18:41 | |||
| 8 | 1178 | Rafael Brzezinski | 01:18:56 | |||
| 9 | 1203 | Torsten Nicolini | 01:19:29 | |||
| 10 | 1154 | Christian Müller | 01:21:52 | |||
| 11 | 1021 | Jimmy Balla | 01:23:30 | |||
| 12 | 1219 | Joe Körbs | 01:24:11 | |||
| 13 | 1208 | Michael Skiba | 01:24:15 | |||
| 14 | 1127 | Timo Diefenbach | 01:29:03 | |||
| 15 | 1101 | Maik Ruff | 01:29:35 | |||
| 16 | 1197 | Tim Adrian | 01:30:41 | |||
| 17 | 1112 | Marc Stodden | 01:31:18 | |||
| 18 | 1123 | Sven Nevels | 01:31:24 | |||
| 19 | 1164 | Luca Oblontzek | 01:31:42 | |||
| 20 | 1094 | Imke Stephanie Dina Bosch | 01:32:16 | |||
| 21 | 1165 | Jan Schönley | 01:32:18 | |||
| 22 | 1180 | Joel Angella | 01:34:58 | |||
| 23 | 1071 | Zac Raymond | 01:35:14 | |||
| 24 | 1039 | Sascha Schwert | 01:35:20 | |||
| 25 | 1104 | Fabian Schulte | 01:36:06 | |||
| 26 | 1209 | Franka Trenz | 01:36:20 | |||
| 27 | 1009 | Oliver Schoer | 01:38:00 | |||
| 28 | 1182 | Daniel Fink | 01:38:26 | |||
| 29 | 1116 | Philipp Berger | 01:38:46 | |||
| 30 | 1107 | Vera Tölg | 01:38:50 |
Category coverage
- Not specified202
Other indexed years of this race
Source and methodology
Timing provider: my.raceresult. FindMyRace preserves provider provenance, normalizes fields, groups known list variants, and removes duplicate rows. Read the methodology.