RaceBerliner Vollmond Ultra Marathon Und 9 Berliner Vollmond Half Marathon M
Year2024
DistanceHalf marathon
Indexed finish records226
Fastest recorded net time01:37:47
Event date2024-06-22
LocationBerlin-Siemensstadt, Germany
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 | 269 | Johannes Fleiner | 01:37:47 | |||
| 2 | 402 | Omitrii Mezentsev | 01:38:32 | |||
| 3 | 360 | Til Behrendt | 01:41:01 | |||
| 4 | 292 | Dmitry Gusev | 01:41:03 | |||
| 5 | 257 | Leonard Müller | 01:42:35 | |||
| 6 | 335 | Angela Gushue | 01:42:39 | |||
| 7 | 222 | Letizia Ponzano | 01:42:50 | |||
| 8 | 241 | Julian Heeren | 01:43:41 | |||
| 9 | 251 | Sebastian Moos | 01:45:24 | |||
| 10 | 387 | Thomas Schemm | 01:45:29 | |||
| 11 | 317 | Marvin Bartels | 01:50:36 | |||
| 12 | 426 | Daniel Machura | 01:50:45 | |||
| 13 | 22 | Maria Otto | 01:51:20 | |||
| 14 | 432 | Cassandre Noblot | 01:52:04 | |||
| 15 | 343 | Stephan Riedel | 01:52:15 | |||
| 16 | 369 | Justin Moritz | 01:52:23 | |||
| 17 | 370 | Julien Moritz | 01:52:24 | |||
| 18 | 382 | Cédric Bourgeois-Potage | 01:53:15 | |||
| 19 | 368 | Anna Christina von Olberg | 01:56:45 | |||
| 20 | 408 | Fabian Sperling | 01:56:46 | |||
| 21 | 425 | Mia Grimme | 01:58:41 | |||
| 22 | 313 | Lorenzo Di Marcello | 01:59:00 | |||
| 23 | 261 | Sofija Rasic Jung | 02:00:52 | |||
| 24 | 206 | Sebastian Reiche | 02:00:55 | |||
| 25 | 442 | Albino Kuczmann | 02:02:12 | |||
| 26 | 357 | Konstantin Knüfermann | 02:02:43 | |||
| 27 | 328 | Solomon John-Addey | 02:02:50 | |||
| 28 | 416 | Elisa Lomonte | 02:02:56 | |||
| 29 | 227 | Frederick Hirsch | 02:02:59 | |||
| 30 | 447 | Deya Taneva | 02:03:30 |
Category coverage
- Not specified226
Source and methodology
Timing provider: my.raceresult. FindMyRace preserves provider provenance, normalizes fields, groups known list variants, and removes duplicate rows. Read the methodology.