POR Filipa Martins
2 HYROX races over 1 season, all in a team with 2 partners. Best Doubles Women time: 1:21:42 at Lisbon 2026.
Two results in one division at the same race (Doubles Women at Lisbon 2026): either two athletes called Filipa Martins, or one athlete who raced twice. Both are shown as published; the bests use the faster one.
Doubles Women: finish time, race by race
oldest to newest · a line going down means getting fasterEach dot is one Doubles Women race. 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 | |
|---|---|---|---|---|---|---|---|---|
| Lisbon 2026 1 May 2026team: Catia Soares, Filipa Martinswhat the whole field did → | Doubles Women · team 40-44 | 1:21:42 | top 36% 294/82632nd of 96 aged 40-44 | 46:21 | 29:32 | 5:55 | View results | See splits Hide splitsSkiErg4:44fastest 31%Sled push1:58fastest 46%Sled pull3:57fastest 29%Burpee broad jump3:44fastest 29%Row5:11faster than 45%Farmers carry1:55fastest 46%Sandbag lunges3:36fastest 41%Wall balls4:27faster than 46%Runs (8 km)46:21fastest 40%Roxzone5:55fastest 34%Run 14:35fastest 40%Run 25:34fastest 38%Run 35:44fastest 31%Run 45:41fastest 26%Run 56:01fastest 42%Run 65:59fastest 39%Run 76:09fastest 48%Run 86:42faster than 36%Full report for this race → |
| Lisbon 2026 1 May 2026team: Filipa Martins, Mónica Melowhat the whole field did → | Doubles Women · team 35-39 | 1:21:56 | top 37% 300/82637th of 141 aged 35-39 | 44:35 | 30:58 | 6:27 | View results | See splits Hide splitsSkiErg5:05faster than 27%Sled push1:58fastest 46%Sled pull4:31faster than 42%Burpee broad jump4:07fastest 47%Row5:21faster than 30%Farmers carry1:51fastest 37%Sandbag lunges3:55faster than 40%Wall balls4:10fastest 40%Runs (8 km)44:35fastest 27%Roxzone6:27fastest 50%Run 14:32fastest 36%Run 25:39fastest 42%Run 35:43fastest 30%Run 45:49fastest 35%Run 55:46fastest 29%Run 65:44fastest 26%Run 75:41fastest 24%Run 85:45fastest 22%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 Filipa has done each station
| Segment | Best | Race | Typical |
|---|---|---|---|
| SkiErg | 4:44 | Lisbon 2026 · best of 2 | 4:48 |
| Sled push | 1:58 | Lisbon 2026 · best of 2 | 1:51 |
| Sled pull | 3:57 | Lisbon 2026 · best of 2 | 4:12 |
| Burpee broad jump | 3:44 | Lisbon 2026 · best of 2 | 4:17 |
| Row | 5:11 | Lisbon 2026 · best of 2 | 5:12 |
| Farmers carry | 1:51 | Lisbon 2026 · best of 2 | 1:52 |
| Sandbag lunges | 3:36 | Lisbon 2026 · best of 2 | 3:47 |
| Wall balls | 4:10 | Lisbon 2026 · best of 2 | 4:22 |
| Runs (8 km) | 44:35 | Lisbon 2026 · best of 2 | 49:12 |
| Roxzone | 5:55 | Lisbon 2026 · best of 2 | 7:49 |
Each station's best across Filipa'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
- Catia Soares1 race
- Mónica Melo1 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.
Lisbon 2026, against 826 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: Filipa 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 1:21:42.
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