Orlaith Buckley
2 HYROX races over 1 season, all in a team with 1 partner. Best Doubles Women time: 1:20:46 at Madrid 2025.
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 | |
|---|---|---|---|---|---|---|---|---|
| Lisbon 2026 1 May 2026team: Orlaith Buckley, Alexandra Foersterwhat the whole field did → | Doubles Women · team 35-39 | 1:21:40 | top 36% 292/82636th of 141 aged 35-39 | 45:20 | 30:39 | 5:46 | View results | See splits Hide splitsSkiErg4:42fastest 27%Sled push1:49fastest 27%Sled pull4:19fastest 48%Burpee broad jump4:23faster than 42%Row4:58fastest 30%Farmers carry2:13faster than 13%Sandbag lunges3:52faster than 43%Wall balls4:23faster than 49%Runs (8 km)45:20fastest 32%Roxzone5:46fastest 29%Run 14:25fastest 29%Run 25:28fastest 31%Run 35:45fastest 32%Run 45:56fastest 41%Run 55:53fastest 35%Run 65:59fastest 39%Run 75:58fastest 39%Run 85:59fastest 31%Full report for this race → |
| Madrid 2025 27 Nov 2025team: Alexandra Foerster, Orlaith Buckleywhat the whole field did → | Doubles Women · team 35-39 | 1:20:46 | top 28% 455/1,64466th of 240 aged 35-39 | 45:14 | 29:10 | 6:27 | View results | See splits Hide splitsSkiErg4:51fastest 23%Sled push1:43fastest 21%Sled pull3:53fastest 40%Burpee broad jump3:51fastest 34%Row4:48fastest 14%Farmers carry1:52fastest 30%Sandbag lunges3:43faster than 42%Wall balls4:29faster than 44%Runs (8 km)45:14fastest 31%Roxzone6:27fastest 23%Run 15:20fastest 36%Run 25:27fastest 35%Run 35:31fastest 28%Run 45:34fastest 30%Run 55:40fastest 31%Run 65:53fastest 43%Run 75:33fastest 29%Run 86:19fastest 29%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 Orlaith has done each station
| Segment | Best | Race | Typical |
|---|---|---|---|
| SkiErg | 4:42 | Lisbon 2026 · best of 2 | 4:48 |
| Sled push | 1:43 | Madrid 2025 · best of 2 | 1:51 |
| Sled pull | 3:53 | Madrid 2025 · best of 2 | 4:12 |
| Burpee broad jump | 3:51 | Madrid 2025 · best of 2 | 4:17 |
| Row | 4:48 | Madrid 2025 · best of 2 | 5:12 |
| Farmers carry | 1:52 | Madrid 2025 · best of 2 | 1:52 |
| Sandbag lunges | 3:43 | Madrid 2025 · best of 2 | 3:47 |
| Wall balls | 4:23 | Lisbon 2026 · best of 2 | 4:22 |
| Runs (8 km) | 45:14 | Madrid 2025 · best of 2 | 49:12 |
| Roxzone | 5:46 | Lisbon 2026 · best of 2 | 7:49 |
Each station's best across Orlaith'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.
1 team partner
- Alexandra Foerster2 races
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.
Madrid 2025, against 1,644 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: Orlaith 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 1:20:46.
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- Every session written for your weak station, not a generic plan
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- Race-day pacing from your own splits
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