USA April Ontiveros
2 HYROX races over 1 season, all in a team with 1 partner. Best Doubles Women time: 1:20:21 at Chicago Navy Pier 2024.
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 | |
|---|---|---|---|---|---|---|---|---|
| Chicago Navy Pier 2024 16 Nov 2024team: April Ontiveros, Jenny Terlindenwhat the whole field did → | Doubles Women · team 30-39 | 1:20:21 | top 32% 143/44765th of 203 aged 30-39 | 45:03 | 28:35 | 6:48 | View results | See splits Hide splitsSkiErg4:36fastest 40%Sled push1:38fastest 38%Sled pull4:01faster than 44%Burpee broad jump4:10faster than 49%Row4:42fastest 17%Farmers carry1:43fastest 35%Sandbag lunges3:42faster than 47%Wall balls4:03faster than 46%Runs (8 km)45:03fastest 26%Roxzone6:48fastest 34%Run 14:16fastest 29%Run 25:25fastest 21%Run 35:43fastest 22%Run 45:58fastest 29%Run 56:00fastest 28%Run 66:03fastest 32%Run 75:52fastest 26%Run 85:50fastest 27%Full report for this race → |
| Toronto 2024 5 Oct 2024team: April Ontiveros, Jenny Terlindenwhat the whole field did → | Doubles Women · team 30-39 | 1:23:00 | top 30% 176/59586th of 236 aged 30-39 | 46:22 | 29:08 | 7:34 | View results | See splits Hide splitsSkiErg4:35fastest 31%Sled push1:36fastest 24%Sled pull3:58fastest 33%Burpee broad jump4:24faster than 38%Row4:49fastest 7%Farmers carry1:41fastest 34%Sandbag lunges3:31fastest 46%Wall balls4:34faster than 34%Runs (8 km)46:22fastest 31%Roxzone7:34fastest 20%Run 16:21fastest 50%Run 25:08fastest 20%Run 35:11fastest 13%Run 45:12fastest 13%Run 55:21fastest 16%Run 65:20fastest 18%Run 77:49faster than 11%Run 86:03fastest 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 April has done each station
| Segment | Best | Race | Typical |
|---|---|---|---|
| SkiErg | 4:35 | Toronto 2024 · best of 2 | 4:48 |
| Sled push | 1:36 | Toronto 2024 · best of 2 | 1:51 |
| Sled pull | 3:58 | Toronto 2024 · best of 2 | 4:12 |
| Burpee broad jump | 4:10 | Chicago Navy Pier 2024 · best of 2 | 4:17 |
| Row | 4:42 | Chicago Navy Pier 2024 · best of 2 | 5:12 |
| Farmers carry | 1:41 | Toronto 2024 · best of 2 | 1:52 |
| Sandbag lunges | 3:31 | Toronto 2024 · best of 2 | 3:47 |
| Wall balls | 4:03 | Chicago Navy Pier 2024 · best of 2 | 4:22 |
| Runs (8 km) | 45:03 | Chicago Navy Pier 2024 · best of 2 | 49:12 |
| Roxzone | 6:48 | Chicago Navy Pier 2024 · best of 2 | 7:49 |
Each station's best across April'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
- Jenny Terlinden2 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.
Chicago Navy Pier 2024, against 447 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: April 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 1:20:21.
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