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 07:58. Check the detail of the improvement plan below.
| Splits | Potential Improvement | Focus During Training |
|---|---|---|
| Farmers Carry | 02:13 (From 04:18 to 02:05) | 27.8% |
| Wall Balls | 01:34 (From 05:53 to 04:19) | 19.7% |
| Sled Push | 01:08 (From 03:37 to 02:29) | 14.2% |
| Rowing | 01:08 (From 06:22 to 05:14) | 14.2% |
| Sled Pull | 00:47 (From 06:00 to 05:13) | 9.8% |
| Sandbag Lunges | 00:46 (From 05:13 to 04:27) | 9.6% |
| Ski Erg | 00:15 (From 05:14 to 04:59) | 3.1% |
| BBJ | 00:07 (From 05:41 to 05:34) | 1.5% |
| Run Total | 00:00 (From 38:37 to 38:37) | 0.0% |
| Aros Gamboa Silvia Ester | Perfect Race | |||
|---|---|---|---|---|
| Splits | Total | Average | Total | |
| Running 1 | 05:00 | 00:00 | 05:04 -00:04 | 00:00 +00:00 |
| Ski Erg | 05:14 | 05:00 | 05:05 +00:09 | 05:04 -00:04 |
| Running 2 | 04:39 | 10:14 | 05:25 -00:46 | 10:09 +00:05 |
| Sled Push | 03:37 | 14:53 | 02:39 +00:58 | 15:34 -00:41 |
| Running 3 | 04:31 | 18:30 | 05:41 -01:10 | 18:13 +00:17 |
| Sled Pull | 06:00 | 23:01 | 05:35 +00:25 | 23:54 -00:53 |
| Running 4 | 04:47 | 29:01 | 05:43 -00:56 | 29:29 -00:28 |
| Burpees Broad Jump | 05:41 | 33:48 | 05:58 -00:17 | 35:12 -01:24 |
| Running 5 | 04:50 | 39:29 | 05:51 -01:01 | 41:10 -01:41 |
| Rowing | 06:22 | 44:19 | 05:19 +01:03 | 47:01 -02:42 |
| Running 6 | 04:57 | 50:41 | 05:45 -00:48 | 52:20 -01:39 |
| Farmers Carry | 04:18 | 55:38 | 02:13 +02:05 | 58:05 -02:27 |
| Running 7 | 04:47 | 59:56 | 05:43 -00:56 | 01:00:18 -00:22 |
| Sandbag Lunges | 05:13 | 01:04:43 | 04:40 +00:33 | 01:06:01 -01:18 |
| Running 8 | 05:12 | 01:09:56 | 06:05 -00:53 | 01:10:41 -00:45 |
| Wall Balls | 05:53 | 01:15:08 | 04:49 +01:04 | 01:16:46 -01:38 |
| Roxzone | 07:20 | 01:28:11 | 06:36 +00:44 | 01:28:11 |
Silvia Ester Aros Gamboa put up an impressive performance in the 2024 Madrid Hyrox Race. Her overall rank was 146 out of 1509 athletes, placing her in the top 9%. Amongst her age group (35-39), she ranked 17th, which is in the top 5% of 292 athletes. The highlight of her performance was her running. Silvia's total running time was 38:37, which is 07:10 faster than the average. She has a strong runner's profile and maintained a robust pace throughout the race. Her best running lap was 04:31.
Going forward, Silvia should pace herself better during the race. Although she starts strong, her performance decreases in later segments. She could benefit from a more consistent pace throughout the race to conserve energy for the more physically demanding segments. Also, focusing more on strength training will balance her performance, as she currently excels in running but lags in strength-based segments. Lastly, practicing transitions between exercises can help reduce her roxzone time, thus improving her overall time.
| Similar Athletes | |||
|---|---|---|---|
| Symington Bonnie | 2023 Hannover | 01:27:56 | |
| Joosten Marlous | 2022 Amsterdam | 01:28:05 | |
| Gerber Léonie | 2024 Karlsruhe | 01:28:29 | |
| Broxton Gemma | 2024 Manchester | 01:28:32 | |
| Zhumayeva Zauresh | 2024 Milan | 01:27:55 | |
| Alexander Jo | 2022 Manchester | 01:27:51 | |
| Williams Vida | 2023 Birmingham | 01:28:20 | |
| Cerulli Elena | 2024 Rimini | 01:28:24 | |
| Devittorio Victoria | 2024 Dallas | 01:27:41 | |
| Spragg Bobbi | 2024 London | 01:28:34 | |
| Other Results from this athlete | ||
|---|---|---|
| No other results found for this athlete. | ||
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Aros Gamboa Silvia Ester
