Dive into this athlete’s performance at 2024 Madrid using our in-depth report. By comparing their results to those of similar athletes, we identify key strengths and areas in need of improvement. For this specific race, our analysis is based on the performance of 1000 similar athletes.
We stack your running times against athletes with similar finish times to see how you measure up. This chart breaks it down, showing whether you were blazing fast, cruising steady, or losing pace.
It’s all about finding out if your running strategy matched your overall finish time!
We pit your station times against athletes with similar finish times to see how you stack up. This chart shows if you crushed it, coasted, or found that sweet spot for your overall finish time.
Here’s the full breakdown of the race, station by station and run by run, stacked against the average of athletes with similar finish times.
In HYROX, pacing is the name of the game. The pacing line shows where you hit the gas, tapped the brakes, or nailed it perfectly—guiding the way to a more balanced and dominant race strategy.
With the RoxCoach Simulation machine, you can see how your predicted finish time evolves as you power through your race. This next-level tech recalculates your estimated finish time after every run and every station. Crushing the sled pull? Gaining ground on the row? Or holding strong in the Wall Balls? RoxCoach tracks it all, giving you the inside scoop on where you shined and where there’s room to level up.
This chart breaks down the splits for every athlete in the division, giving you a clear look at how times are distributed across the pack.
Compare performance to the competition, spotting where they dominated and where there’s room to improve.
You’ll see how they stack up against the Top 10%, 25%, 50%, 75%, and beyond. Outliers are out—so the focus stays on the real competition.
Based on our analysis, here are the focus areas for improvement. The goal is to determine how quickly the athlete could improve on some stations and where is the path of least resistance to improve his time.
The percentile rank is the current position of the athlete compared to the competition. It goes from 0 to 100, where 0 is the best and 100 is the worst. It show the potential improvement for each station. The athlete should focus on the stations with the highest potential improvement and the biggest duration.
A big improvement in the Farmer's carry station will not be as impactful as a small improvement in the wall ball station for instance. Just click on a station to see how easy it will be to improve and how important it is to focus on it during training.
For this athlete we identified a possible improvement of 03:33. Check the detail of the improvement plan below.
| Splits | Potential Improvement | Focus During Training |
|---|---|---|
| BBJ | 01:46 (From 07:59 to 06:13) | 49.8% |
| Wall Balls | 01:20 (From 06:14 to 04:54) | 37.6% |
| Sled Push | 00:13 (From 02:56 to 02:43) | 6.1% |
| Rowing | 00:09 (From 05:32 to 05:23) | 4.2% |
| Ski Erg | 00:05 (From 05:12 to 05:07) | 2.3% |
| Sled Pull | 00:00 (From 05:01 to 05:01) | 0.0% |
| Farmers Carry | 00:00 (From 02:03 to 02:03) | 0.0% |
| Sandbag Lunges | 00:00 (From 04:20 to 04:20) | 0.0% |
| Run Total | 00:00 (From 46:18 to 46:18) | 0.0% |
| Watson Hannah | Perfect Race | |||
|---|---|---|---|---|
| Splits | Total | Average | Total | |
| Running 1 | 06:18 | 00:00 | 05:16 +01:02 | 00:00 +00:00 |
| Ski Erg | 05:12 | 06:18 | 05:11 +00:01 | 05:16 +01:02 |
| Running 2 | 05:14 | 11:30 | 05:38 -00:24 | 10:27 +01:03 |
| Sled Push | 02:56 | 16:44 | 02:51 +00:05 | 16:05 +00:39 |
| Running 3 | 05:43 | 19:40 | 05:58 -00:15 | 18:56 +00:44 |
| Sled Pull | 05:01 | 25:23 | 06:03 -01:02 | 24:54 +00:29 |
| Running 4 | 05:47 | 30:24 | 05:58 -00:11 | 30:57 -00:33 |
| Burpees Broad Jump | 07:59 | 36:11 | 06:33 +01:26 | 36:55 -00:44 |
| Running 5 | 05:55 | 44:10 | 06:09 -00:14 | 43:28 +00:42 |
| Rowing | 05:32 | 50:05 | 05:27 +00:05 | 49:37 +00:28 |
| Running 6 | 05:46 | 55:37 | 06:03 -00:17 | 55:04 +00:33 |
| Farmers Carry | 02:03 | 01:01:23 | 02:21 -00:18 | 01:01:07 +00:16 |
| Running 7 | 05:42 | 01:03:26 | 06:02 -00:20 | 01:03:28 -00:02 |
| Sandbag Lunges | 04:20 | 01:09:08 | 05:01 -00:41 | 01:09:30 -00:22 |
| Running 8 | 05:56 | 01:13:28 | 06:32 -00:36 | 01:14:31 -01:03 |
| Wall Balls | 06:14 | 01:19:24 | 05:15 +00:59 | 01:21:03 -01:39 |
| Roxzone | 08:07 | 01:33:38 | 07:20 +00:47 | 01:33:38 |
Hannah Watson, with an overall rank of 199, performed impressively in the 2024 Madrid HYROX event, placing within the top 13% of 1509 athletes and ranking 24th in her age group. Her total running time was 00:46:18, which is 01:44 faster than the average. This indicates that Hannah has a strong running profile, and her best running lap time was 00:05:14.
Throughout the race, Hannah maintained a consistent pace, showing her strength in pacing herself effectively. She started slightly slower than average in the first running segment but quickly picked up pace in subsequent segments. Particularly, her performance in Sled Pull and Sandbag Lunges was notably faster than the average, suggesting that Hannah has a solid foundation in strength training. Nevertheless, her overall performance exhibits a running-dominant profile, with consistent time gains across all running segments.
Hannah should focus on pacing herself better at the start of the race. Starting too fast can deplete energy reserves quickly, so it's important to start at a pace that can be maintained throughout the race. She should also consider training for compromised running scenarios post specific exercises, such as transitioning to running immediately after strength segments. This will help her prepare for the physical demands of the race and improve her transition times.
Given her strength in running segments, Hannah may also benefit from focusing more on her endurance. This could be achieved through long-distance running or tempo runs. Additionally, working on her recovery strategies, such as proper nutrition and rest, can also enhance her overall performance and endurance.
| Similar Athletes | |||
|---|---|---|---|
| Gosselk Anke | 2019 Oberhausen | 01:33:37 | |
| Kalusok Katrin | 2023 München | 01:33:13 | |
| King Cami | 2024 Fort Lauderdale | 01:33:36 | |
| Schliewen Linn | 2023 Hamburg | 01:33:36 | |
| Driscoll Gemma | 2023 London | 01:33:28 | |
| Ecroyd Sue | 2023 Manchester | 01:34:07 | |
| Kelly Michelle | 2023 London | 01:33:31 | |
| Baker Victoria | 2023 London | 01:33:54 | |
| Lamar Lauren | 2024 Melbourne | 01:33:29 | |
| Van Rooijen Tamara | 2024 Rotterdam | 01:33:49 | |
| Other Results from this athlete | ||
|---|---|---|
| 2024 Manchester Watson Aimee, Watson Hannah | 01:06:09 | |
| 2024 Birmingham Watson Aimee, Watson Hannah | 01:08:57 | |
| 2024 London Watson Hannah, Cooper Benjamin | 01:25:55 | |
Unlock your potential with our pace calculator tool, designed to help you craft your ideal race splits and propel yourself to new heights.
Pace Calculator
Watson Hannah
