POL Milena Krasuska
2 HYROX races over 1 season, all in a team with 2 partners. Best Doubles Women time: 1:16:06 at Gdańsk 2025.
Two results in one division at the same race (Doubles Women at Gdańsk 2025): either two athletes called Milena Krasuska, 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 | |
|---|---|---|---|---|---|---|---|---|
| Gdańsk 2025 12 Oct 2025team: Milena Krasuska, Magdalena Stręciwilkwhat the whole field did → | Doubles Women · team 30-34 | 1:21:21 | top 36% 94/26519th of 57 aged 30-34 | 50:10 | 24:54 | 6:21 | View results | See splits Hide splitsSkiErg4:28fastest 27%Sled push1:32fastest 8%Sled pull3:28fastest 19%Burpee broad jump3:06fastest 8%Row4:31fastest 6%Farmers carry1:29fastest 8%Sandbag lunges2:38fastest 2%Wall balls3:42fastest 16%Runs (8 km)50:10faster than 39%Roxzone6:21fastest 27%Run 14:26fastest 43%Run 25:54fastest 47%Run 36:19faster than 43%Run 46:50faster than 27%Run 56:38faster than 37%Run 66:34faster than 36%Run 76:44faster than 29%Run 86:49faster than 35%Full report for this race → |
| Gdańsk 2025 12 Oct 2025team: Milena Krasuska, Anna Łapkowhat the whole field did → | Doubles Women · team 25-29 | 1:16:06 | top 20% 53/26515th of 49 aged 25-29 | 44:07 | 25:38 | 6:26 | View results | See splits Hide splitsSkiErg4:06fastest 2%Sled push1:44fastest 38%Sled pull3:46fastest 35%Burpee broad jump3:12fastest 13%Row4:38fastest 10%Farmers carry1:39fastest 32%Sandbag lunges2:52fastest 12%Wall balls3:41fastest 15%Runs (8 km)44:07fastest 28%Roxzone6:26fastest 30%Run 14:11fastest 30%Run 25:21fastest 24%Run 35:36fastest 23%Run 45:51fastest 32%Run 55:51fastest 31%Run 65:39fastest 24%Run 75:47fastest 29%Run 85:55fastest 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 Milena has done each station
| Segment | Best | Race | Typical |
|---|---|---|---|
| SkiErg | 4:06 | Gdańsk 2025 · best of 2 | 4:48 |
| Sled push | 1:32 | Gdańsk 2025 · best of 2 | 1:51 |
| Sled pull | 3:28 | Gdańsk 2025 · best of 2 | 4:12 |
| Burpee broad jump | 3:06 | Gdańsk 2025 · best of 2 | 4:17 |
| Row | 4:31 | Gdańsk 2025 · best of 2 | 5:12 |
| Farmers carry | 1:29 | Gdańsk 2025 · best of 2 | 1:52 |
| Sandbag lunges | 2:38 | Gdańsk 2025 · best of 2 | 3:47 |
| Wall balls | 3:41 | Gdańsk 2025 · best of 2 | 4:22 |
| Runs (8 km) | 44:07 | Gdańsk 2025 · best of 2 | 49:12 |
| Roxzone | 6:21 | Gdańsk 2025 · best of 2 | 7:49 |
Each station's best across Milena'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
- Anna Łapko1 race
- Magdalena Stręciwilk1 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.
Gdańsk 2025, against 265 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: Milena 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 1:16:06.
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