Schweriner Funf Seen Lauf Hapak Half 2026 Results

FindMyRace indexes 989 finish records for Schweriner Funf Seen Lauf Hapak Half 2026 (Half marathon). Search by athlete name and use the linked original source for authoritative corrections.

RaceSchweriner Funf Seen Lauf Hapak Half
Year2026
DistanceHalf marathon
Indexed finish records989
Fastest recorded net time01:12:44

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.

#BibNameCategoryClubNet timeGross time
1400Christoph MattnerM35TriSport Schwerin01:12:44
2302Melvin EversMHKVfB Fallersleben01:15:42
3105Mathias AhrenbergM45Laufgruppe Schwerin e.V.01:16:18
4460Melvin JahnMHK01:16:31
51066Tim KlattM35LAV Waren/Müritz01:17:44
6151Peter BartmannM35Yachtclub Wismar von 1897 e.V.01:19:12
7495William KlaffkeMHKHL Training Club01:19:41
81056Elti HoxhaM3001:21:59
9869Martin Strandby HansenM45Stigelöberne01:23:39
1010Danny BehrendtM40SV Germania 08 Roßlau/Non-Stop-Ultra01:23:49
11757Kai RößigM4501:23:50
12633Michael MönnichM3001:23:50
13271Siegfried DöhlM45Gifhorn-Gamsen01:25:00
141009Ole BaumgartenM30Lake Runners Schwerin01:25:27
151149Dawid WiktorekM3501:25:46
16957Eric WernerM4001:26:04
17307Hanna FehlhaberWHK01:26:52
18131David Audet PriorM35VfL Wolfsburg01:27:58
191093André OswaldM5001:28:09
20415Philipp HenkeM35Feed a Cat01:28:50
211085Yves MassentheM3001:29:06
22121Lucius AndreasM45Team Laufcampus01:29:07
23751Philipp RobnitzkiM3001:29:10
24155Giuliano BeccarelliM60LC Uster01:29:13
251107Luis ReichardtMHK01:29:15
26571Swen LangschwagerM50Hobbyläufer Güstrow01:29:22
271881Hannes SchneiderM4501:29:26
281065Georg KirschM35Weinbergschnecken01:29:27
29181Koustubh BhoirMHK01:29:39
30645Marius MunserM3501:29:43

Category coverage

Other indexed years of this race

Source and methodology

Timing provider: davengo. FindMyRace preserves provider provenance, normalizes fields, groups known list variants, and removes duplicate rows. Read the methodology.