Trail Des Passerelles Du Monteynard 26 Km 26K 2026 Results & Ergebnisse

FindMyRace indexes 1,009 finish records for Trail Des Passerelles Du Monteynard 26 Km 26K 2026 (26 km). Browse athlete names, bibs, categories, clubs, recorded net and gross times, and timing-provider provenance.

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RaceTrail Des Passerelles Du Monteynard 26 Km 26K
Year2026
Distance26 km
Indexed finish records1,009
Fastest recorded net time02:07:33
Provider keykikourou

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. Use athlete-name search for the complete indexed history, and check the timing source for authoritative corrections.

#BibNameCategoryClubNet timeGross time
1 TOURTELIER-GALLO Louison SEM 02:07:33
2 CARRON Erwan SEMUS SAINT-EGREVE 02:14:12
3 REMEUF Guillaume M0MAL ECHIROLLES 02:24:14
4 GROLLEAU Nicolas SEM 02:25:11
5 EL MAMOUNI Amaury SEMAS VILLEJUIF ASV 02:26:17
6 GRANGE Marine SEFTAILLEFER TRAIL TEAM 02:27:46
7 PAQUET Martin SEM 02:29:34
8 MANN Jérémy M0MCCA ROUFFACH 02:30:21
9 BAYLE Ernest SEM 02:30:36
10 BERLEMONT Gaetan SEM 02:31:02
11 RIVOIRE Jean-luc M3MCOURIR À VALENCE 26 07 02:35:49
12 MALNATTI Thomas SEM 02:37:07
13 CHAUX Damien SEM 02:37:58
14 JOURDAIN Clément SEM 02:40:48
15 BLANCHE Yoann M2M 02:40:55
16 FRITZ Romain SEM 02:41:00
17 BARRET Arthur SEMCRRA 02:41:52
18 CHAUVILLE Corentin SEM 02:42:07
19 FERRAGU Alexandre ESMASPTT RENNES 02:42:15
20 ARMANDE Pierre-philippe M0M 02:43:06
21 DUCOUX Grégory M1MLBC AC S/L US ARGENTON 02:43:41
22 ROPITAL Rémi ESM 02:44:17
23 WALDURA Thomas SEM 02:44:23
24 MOCZINSKI Luka SEM 02:44:43
25 RAULIN Simon SEM 02:45:30
26 LOISEAU Pierre-yves SEM 02:45:44
27 BLOT Sylvain M0MTÊTE D'OR RUNNERS 02:46:02
28 SENAME Grégoire SEM 02:46:40
29 FAUCHER Alexandre SEMTEAM B3R 02:46:46
30 TRIQUET Olivier M1M 02:46:49

Category coverage

Source and methodology

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