Katarzyna Grońska
2 HYROX races over 1 season, all in a team with 1 partner. Best Doubles Women time: 1:18:32 at Warsaw 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 | |
|---|---|---|---|---|---|---|---|---|
| Warsaw 2026 19 Apr 2026team: Anna Kucharska, Katarzyna Grońskawhole field → | Doubles Women · team 30-34 | 1:18:32 | 229th of 94571st of 241 aged 30-34 | 45:59 | 26:54 | 5:43 | View results | See splits Hide splitsSkiErg4:22fastest 10%Sled push1:43fastest 37%Sled pull3:39fastest 41%Burpee broad jump3:51fastest 29%Row5:00fastest 28%Farmers carry1:36fastest 27%Sandbag lunges2:58fastest 14%Wall balls3:45fastest 21%Runs (8 km)45:59fastest 30%Roxzone5:43fastest 37%Run 14:16fastest 21%Run 25:47fastest 27%Run 35:55fastest 24%Run 46:01fastest 27%Run 56:25fastest 43%Run 66:19fastest 42%Run 76:10fastest 33%Run 85:09fastest 37%Full report for this race → |
| Poznań 2025 13 Dec 2025team: Katarzyna Grońska, Anna Kucharskawhole field → | Doubles Women · team 30-34 | 1:23:12 | 195th of 46850th of 112 aged 30-34 | 49:15 | 28:01 | 6:02 | View results | See splits Hide splitsSkiErg4:29fastest 6%Sled push1:52fastest 48%Sled pull3:35fastest 18%Burpee broad jump3:58fastest 36%Row5:03fastest 24%Farmers carry1:56faster than 42%Sandbag lunges3:21fastest 35%Wall balls3:47fastest 21%Runs (8 km)49:15faster than 49%Roxzone6:02faster than 50%Run 15:46fastest 46%Run 25:57faster than 45%Run 36:16faster than 43%Run 46:17faster than 44%Run 56:16faster than 46%Run 66:19faster than 39%Run 76:13faster than 44%Run 86:14fastest 45%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 Katarzyna has done each station
| Segment | Best | Race | Typical |
|---|---|---|---|
| SkiErg | 4:22 | Warsaw 2026 · best of 2 | 4:48 |
| Sled push | 1:43 | Warsaw 2026 · best of 2 | 1:51 |
| Sled pull | 3:35 | Poznań 2025 · best of 2 | 4:12 |
| Burpee broad jump | 3:51 | Warsaw 2026 · best of 2 | 4:17 |
| Row | 5:00 | Warsaw 2026 · best of 2 | 5:12 |
| Farmers carry | 1:36 | Warsaw 2026 · best of 2 | 1:52 |
| Sandbag lunges | 2:58 | Warsaw 2026 · best of 2 | 3:47 |
| Wall balls | 3:45 | Warsaw 2026 · best of 2 | 4:22 |
| Runs (8 km) | 45:59 | Warsaw 2026 · best of 2 | 49:12 |
| Roxzone | 5:43 | Warsaw 2026 · best of 2 | 7:49 |
Each station's best across Katarzyna'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
- Anna Kucharska2 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.
Warsaw 2026, against 945 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: Katarzyna 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 1:18:32.
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- A week-by-week plan that counts down to your race
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Free to download. Used by more than 40,000 HYROX athletes.