Trail Des Passerelles Du Monteynard 42 Km 42K 2026 Results & Ergebnisse

FindMyRace indexes 975 finish records for Trail Des Passerelles Du Monteynard 42 Km 42K 2026 (42 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 42 Km 42K
Year2026
Distance42 km
Indexed finish records975
Fastest recorded net time03:42:39
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 PIVRY Antonin ESMBROOKS TRAIL PROJECT 03:42:39
2 POISSON Guillaume SEM 03:46:47
3 CAMPOS Bastien ESM 03:49:44
4 DUPUIS Telio SEMTDM 03:50:22
5 MARTIN Remi SEMUS AUTRANS 03:55:55
6 PAGLIARDINI Guilhem SEM 03:59:54
7 DOMET Florian SEM 04:04:25
8 ROBIN Aïdan ESMSPORT NAT 01 04:04:44
9 MYLY Alexis SEM 04:07:52
10 FRECHET Hugo SEM 04:11:24
11 ABDELGHAFOUR Samir M1MSENTIERS SOMBRES 04:13:12
12 FRAISSE Fabien M0MREC TEAM 04:13:40
13 MATRAY Luc SEMZOOM VOLT RUNNERS / SAYSKY 04:13:50
14 BOURIEL Steve M1MGVA TEAM 04:18:14
15 VASSAL Nicolas M2M 04:21:04
16 MARZARI Laura SEFINOV8 04:21:28
17 ARANDEL Jonathan M1M 04:21:38
18 MORVAN Clement SEMGIEN ATHE MARATHON 04:22:06
19 BOURIEL Yoann M1MBOUBOU 04:23:27
20 SAVARY Kevin SEMTEAM PROVENCE ENDURANCE 04:23:29
21 COËRCHON Colin SEM 04:27:49
22 MORAND Cyril M0MGAVOT LÉMAN TRAIL 04:29:11
23 MARQUER Quentin SEMQMCOACHING 04:29:47
24 RIVOLLET Anthony SEM 04:30:16
25 VEYET Lilian SEM 04:30:41
26 CHAPELLE Nicolas M2MEATT 04:31:05
27 LEGER Hugo SEM 04:35:12
28 DOUSSOT Emilien ESMTEAM COSTO 04:35:38
29 CAPDEVILLE Paul SEM 04:35:42
30 FIGUEIRA Thibaut SEMNOISY-LE-GRAND RUNNING CLUB 04:37:52

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.