Giru Di Tumbone 17 Km 17K 2026 Results & Ergebnisse

FindMyRace indexes 1,044 finish records for Giru Di Tumbone 17 Km 17K 2026 (17 km). Browse athlete names, bibs, categories, clubs, recorded net and gross times, and timing-provider provenance.

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RaceGiru Di Tumbone 17 Km 17K
Year2026
Distance17 km
Indexed finish records1,044
Fastest recorded net time01:15:15
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 COLLIER Jake SEMBrooks UK 01:15:15
2 VIEIRA Tiago SEM 01:16:57
3 DUHAU Jean-Noël SEM 01:17:06
4 GIRAUD Tom JUM 01:21:31
5 IADADAINE Madani SEMClub omnisports porticcio 01:22:42
6 MORGANA Léo SEMTEAM ALTORE / CA BASTIA 01:23:58
7 FAURE Robin JUM 01:24:18
8 VENDASI Émile M0MFium’Orbu Running Club 01:24:40
9 COUCKE Mathieu JUMCercle Athlétique Ajaccien 01:25:01
10 JOLY Lucca SEMCa Propriano 01:25:10
11 SERCA Léo SEM 01:25:23
12 LAGO Lucas SEMEFCVO 01:25:54
13 MONTET Sylvain M1MCA Bastia 01:26:32
14 ADAM Pierre-Antoine M1M 01:27:58
15 GUIDICELLI Theo SEM 01:28:15
16 KOLOMOETZ Pierre-François M0MMantinum 01:28:28
17 NOTARIS Andrea M1MASD CADDESE 01:28:54
18 AIT CHAOUCH Adil M1M 01:30:04
19 MERONI Lorenzo SEMSisport Genova 01:30:04
20 DANET Baptiste M0MEapb 01:30:28
21 BERTAZZINI Filippo JUMTopo Athletic - US Malonno 01:31:22
22 CERTAL DO PACO Anthony SEM 01:31:24
23 GRAZIANI Sampieru SEMSquadra mantinum 01:31:28
24 BUYDENS Guillaume SEMEndurance Quest 01:31:34
25 SAGE Johnny M1M 01:31:43
26 TOURREL Hugo JUMPathfinders 01:31:47
27 LEANDRI Jean Mathieu M0MA Paolina 01:32:00
28 COSTA Stefane SEMAS Figarella 01:32:03
29 SORTINI Elisa M1FSportsShoes PATT 01:32:19
30 SAKETT Cherif M0M 01:32:36

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.