Dive into this athlete’s performance at 2024 Milan 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 783 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 Aguilar Aida's 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 Aguilar Aida 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 Aguilar Aida’s 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 Aguilar Aida's 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 07:23. Check the detail of the improvement plan below.
| Splits | Potential Improvement | Time | Focus During Training |
|---|---|---|---|
| Sandbag Lunges | 01:53 | 07:18 to 05:25 | 25.5% |
| Wall Balls | 01:30 | 07:12 to 05:42 | 20.3% |
| Sled Pull | 01:26 | 07:48 to 06:22 | 19.4% |
| Burpees Broad Jump | 01:17 | 08:23 to 07:06 | 17.4% |
| Sled Push | 00:54 | 03:55 to 03:01 | 12.2% |
| Rowing | 00:15 | 05:51 to 05:36 | 3.4% |
| Farmers Carry | 00:07 | 02:32 to 02:25 | 1.6% |
| Ski Erg | 00:01 | 05:19 to 05:18 | 0.2% |
| Run Total | 00:00 | 45:47 to 45:47 | 0.0% |
| Aguilar Aida | Perfect Race | |||
|---|---|---|---|---|
| Splits | Total | Average | Total | |
| Running 1 | 05:45 | 00:00 | 05:29 +00:16 | 00:00 +00:00 |
| Ski Erg | 05:19 | 05:45 | 05:20 -00:01 | 05:29 +00:16 |
| Running 2 | 05:18 | 11:04 | 06:01 -00:43 | 10:49 +00:15 |
| Sled Push | 03:55 | 16:22 | 03:06 +00:49 | 16:50 -00:28 |
| Running 3 | 05:51 | 20:17 | 06:24 -00:33 | 19:56 +00:21 |
| Sled Pull | 07:48 | 26:08 | 06:33 +01:15 | 26:20 -00:12 |
| Running 4 | 05:48 | 33:56 | 06:26 -00:38 | 32:53 +01:03 |
| Burpees Broad Jump | 08:23 | 39:44 | 07:16 +01:07 | 39:19 +00:25 |
| Running 5 | 06:00 | 48:07 | 06:36 -00:36 | 46:35 +01:32 |
| Rowing | 05:51 | 54:07 | 05:39 +00:12 | 53:11 +00:56 |
| Running 6 | 05:59 | 59:58 | 06:29 -00:30 | 58:50 +01:08 |
| Farmers Carry | 02:32 | 01:05:57 | 02:30 +00:02 | 01:05:19 +00:38 |
| Running 7 | 06:12 | 01:08:29 | 06:28 -00:16 | 01:07:49 +00:40 |
| Sandbag Lunges | 07:18 | 01:14:41 | 05:36 +01:42 | 01:14:17 +00:24 |
| Running 8 | 04:56 | 01:21:59 | 07:10 -02:14 | 01:19:53 +02:06 |
| Wall Balls | 07:12 | 01:26:55 | 05:52 +01:20 | 01:27:03 -00:08 |
| Roxzone | 07:05 | 01:41:05 | 08:10 -01:05 | 01:41:05 |
Aida Aguilar demonstrated a commendable performance in the 2024 Milan HYROX race. Her overall rank was 434, placing her in the top 21% out of 2043 athletes. Even more impressively, she ranked 62 in her age group, making her among the top 15% of 394 athletes. Aida's total running time was 00:45:47, which is 05:42 faster than the average, showing her strength in running. She started off slightly slower in her first running segment, which could have been a strategic move to conserve energy for the more grueling parts of the race. From running segments 2 to 4, she consistently outpaced the average times, indicating a smart pacing strategy that contributed to her overall strong running performance.
Based on the analysis of Aida's performance, a few race strategies can be recommended for future competitions. Firstly, maintaining her smart pacing strategy will continue to serve her well in future races. Starting slightly slower in the initial running segment allows her to conserve energy and perform better in later segments. Secondly, focusing on transitions and minimizing rest times between segments can help reduce her overall time. Finally, incorporating strength training in her preparation specifically targeting the weakest segments will improve her overall performance and ranking.
| Similar Athletes | |||
|---|---|---|---|
| Charara Laya | 2024 Chicago Navy Pier | 01:40:47 | |
| Mcdonald Laura | 2024 Paris | 01:40:49 | |
| Kingdon Tina | 2024 Manchester | 01:40:38 | |
| O Sullivan Aine | 2024 London | 01:41:12 | |
| Trollope Hannah | 2024 Birmingham | 01:41:08 | |
| Larke Sam | 2024 Sports Direct HYROX London | 01:41:02 | |
| Lee Emily | 2024 Incheon | 01:40:35 | |
| Payen Carole | 2024 Bordeaux | 01:41:11 | |
| Janks Donna | 2024 New York | 01:41:07 | |
| Thompson Amy | 2023 London | 01:41:22 | |
| Other Results from this athlete | ||
|---|---|---|
| 2024 Ciudad de Mexico | 01:49:03 | |
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
