FRA Léa Rousseaux
2 HYROX races over 1 season, all in a team with 2 partners. Best Doubles Women time: 1:23:09 at Paris Grand Palais 2026.
Doubles Women: finish time, race by race
oldest to newest · a line going down means getting fasterEach dot is one Doubles Women race. Not enough complete, clean Doubles Women races yet to measure the change. Team times are shared with a partner, so they move with who you race with.
2 results
| Race | Division | Time | Place | Runs | Stations | Roxzone | Report | |
|---|---|---|---|---|---|---|---|---|
| Paris Grand Palais 2026 27 Apr 2026team: Céline N’guyen, Léa Rousseauxwhat the whole field did → | Doubles Women · team 30-34 | 1:23:09 | top 37% 652/1,793188th of 477 aged 30-34 | 45:40 | 29:33 | 8:00 | View results | See splits Hide splitsSkiErg4:43fastest 25%Sled push1:46fastest 48%Sled pull3:22fastest 28%Burpee broad jump5:02faster than 44%Row5:00fastest 30%Farmers carry1:44fastest 22%Sandbag lunges3:41fastest 32%Wall balls4:15fastest 45%Runs (8 km)45:40fastest 42%Roxzone8:00fastest 35%Run 15:23fastest 15%Run 25:24fastest 38%Run 35:44fastest 45%Run 45:53fastest 50%Run 56:00faster than 48%Run 65:58faster than 49%Run 76:01fastest 50%Run 85:20fastest 48%Full report for this race → |
| Rome 2025 26 Sept 2025team: Celine N’guyen, Léa Rousseauxwhat the whole field did → | Doubles Women · team 30-34 | 1:29:37 | 661st of 958162nd of 231 aged 30-34 | 50:24 | 32:04 | 7:13 | View results | See splits Hide splitsSkiErg4:46fastest 47%Sled push1:39fastest 16%Sled pull4:12fastest 46%Burpee broad jump4:58faster than 20%Row5:27faster than 32%Farmers carry1:47fastest 46%Sandbag lunges4:12faster than 28%Wall balls5:03faster than 14%Runs (8 km)50:24faster than 29%Roxzone7:13fastest 47%Run 17:03faster than 49%Run 25:27faster than 38%Run 35:45faster than 35%Run 46:01faster than 28%Run 56:33faster than 18%Run 66:20faster than 21%Run 76:09faster than 28%Run 87:10faster than 23%Full report for this race → |
Place is the position among timed finishers in the same race, division and gender; a doubles place is the team's. Runs is the organiser's official run total (it can differ from the eight laps added up by a few seconds), stations the eight stations added up, and roxzone the time moving between them. The age group is the one entered for that race; for a team it is the team’s age group. How the numbers are made.
The fastest Léa has done each station
| Segment | Best | Race | Typical |
|---|---|---|---|
| SkiErg | 4:43 | Paris Grand Palais 2026 · best of 2 | 4:48 |
| Sled push | 1:39 | Rome 2025 · best of 2 | 1:51 |
| Sled pull | 3:22 | Paris Grand Palais 2026 · best of 2 | 4:12 |
| Burpee broad jump | 4:58 | Rome 2025 · best of 2 | 4:17 |
| Row | 5:00 | Paris Grand Palais 2026 · best of 2 | 5:12 |
| Farmers carry | 1:44 | Paris Grand Palais 2026 · best of 2 | 1:52 |
| Sandbag lunges | 3:41 | Paris Grand Palais 2026 · best of 2 | 3:47 |
| Wall balls | 4:15 | Paris Grand Palais 2026 · best of 2 | 4:22 |
| Runs (8 km) | 45:40 | Paris Grand Palais 2026 · best of 2 | 49:12 |
| Roxzone | 7:13 | Rome 2025 · best of 2 | 7:49 |
Each station's best across Léa's Doubles Women races, from different races. Typical is the typical Doubles Women split across every race in the data. Venues differ (sled carpets, run laps, where the mats sit), so a best can owe something to the venue.
2 team partners
- Celine N’guyen1 race
- Céline N’guyen1 race
From the doubles and relay results above. A name opens the search, because a partner can have more than one page when the organiser spelled the name differently.
Paris Grand Palais 2026, against 1,793 Doubles Women
Shape of the race
Further out means you beat more of the field on that part. A dent is a weak spot.
How you ranked on each station
Longer is better: the share of the field you beat.
Minutes against the typical finisher
Green, left of centre: faster than the typical Doubles Women finisher at this race. Orange, right: slower, and by how much.
The race as one bar: Léa against the typical Doubles Women finisher
The race in order, left to right. A wider block than the one below is slower than typical.
Training for the next one? Let's beat 1:23:09.
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