Trail Des Lavoirs 13 Km 13K 2026 Results & Ergebnisse

FindMyRace indexes 606 finish records for Trail Des Lavoirs 13 Km 13K 2026 (13 km). Browse athlete names, bibs, categories, clubs, recorded net and gross times, and timing-provider provenance.

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RaceTrail Des Lavoirs 13 Km 13K
Year2026
Distance13 km
Indexed finish records606
Fastest recorded net time00:50:25
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 KIS Theo SEMSCM CHATILLON-SOUS-BAGNEUX 00:50:25
2 REYBARD Eliott SEM 00:51:36
3 DULAC Raphael SEMS/L PARIS UC 00:51:48
4 LECLERCQ Louis SEM 00:52:16
5 FORTIN Alexis SEM 00:53:11
6 TELLIER Hugo ESM 00:53:18
7 VIAULT Aurélien M2M 00:53:32
8 CHRISTOPHE Julien M1MOUEST ESSONNE ATHLETISME 00:54:15
9 TURLAIS Geoffroy M1M 00:54:51
10 KERFORN Jean CAM 00:55:01
11 BESSON Mathis SEM 00:55:08
12 DESBRUYERES Alban JUM 00:55:10
13 BEAUJEU Amélien SEM 00:55:31
14 DA COSTA Jonathan M1MAURA TRAIL TEAM 00:56:12
15 HEINRICH Sylvain M0M 00:56:16
16 DESTRÉ Raphaël CAM 00:56:29
17 DERVAUX Etienne M2M 00:56:37
18 MAGNAN Florian SEMUAS SAINT CLOUD 00:56:44
19 DESAILLY Baptiste SEM 00:57:12
20 CROLLARD Sylvain SEMCHAVILLE ATHLETISME 00:57:59
21 TRELUT Serge JUM 00:58:03
22 ASSELIN Théotime SEMEA LE CREUSOT 00:58:06
23 DA COSTA MONTEIRO DE PINA Leandro ESM 00:58:37
24 AÏT-TAYEB Tony M0MRUNNING ET MARATHON DE BOIS D ARCY 00:58:57
25 CLAVERO Arnaud SEM 00:59:00
26 FERREIRA MARQUES Thomas SEMOUEST ESSONNE ATHLETISME 00:59:08
27 DEJEAN Alexandre SEMMETRO ATHLE ANTONY 01:00:11
28 FAYARD Ronan CAMS/L OC GIF SUR YVETTE 01:00:19
29 ESPITALLIER Enguerrand CAM 01:00:24
30 ROLLANDO Dorian SEM 01:00:39

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.