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 203 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 Galeandro Allegra'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 Galeandro Allegra 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 Galeandro Allegra’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 Galeandro Allegra'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 07:29. Check the detail of the improvement plan below.
| Splits | Potential Improvement | Time | Focus During Training |
|---|---|---|---|
| Wall Balls | 03:03 | 10:57 to 07:54 | 40.8% |
| Burpees Broad Jump | 02:37 | 12:05 to 09:28 | 35.0% |
| Sled Pull | 01:08 | 09:12 to 08:04 | 15.1% |
| Sled Push | 00:41 | 04:28 to 03:47 | 9.1% |
| Ski Erg | 00:00 | 05:30 to 05:30 | 0.0% |
| Rowing | 00:00 | 05:55 to 05:55 | 0.0% |
| Farmers Carry | 00:00 | 02:10 to 02:10 | 0.0% |
| Sandbag Lunges | 00:00 | 06:43 to 06:43 | 0.0% |
| Run Total | 00:00 | 55:10 to 55:10 | 0.0% |
| Galeandro Allegra | Perfect Race | |||
|---|---|---|---|---|
| Splits | Total | Average | Total | |
| Running 1 | 07:14 | 00:00 | 06:11 +01:03 | 00:00 +00:00 |
| Ski Erg | 05:30 | 07:14 | 05:42 -00:12 | 06:11 +01:03 |
| Running 2 | 06:14 | 12:44 | 07:06 -00:52 | 11:53 +00:51 |
| Sled Push | 04:28 | 18:58 | 03:44 +00:44 | 18:59 -00:01 |
| Running 3 | 06:42 | 23:26 | 07:40 -00:58 | 22:43 +00:43 |
| Sled Pull | 09:12 | 30:08 | 08:12 +01:00 | 30:23 -00:15 |
| Running 4 | 06:55 | 39:20 | 07:41 -00:46 | 38:35 +00:45 |
| Burpees Broad Jump | 12:05 | 46:15 | 09:50 +02:15 | 46:16 -00:01 |
| Running 5 | 07:36 | 58:20 | 07:57 -00:21 | 56:06 +02:14 |
| Rowing | 05:55 | 01:05:56 | 06:07 -00:12 | 01:04:03 +01:53 |
| Running 6 | 06:54 | 01:11:51 | 07:46 -00:52 | 01:10:10 +01:41 |
| Farmers Carry | 02:10 | 01:18:45 | 02:59 -00:49 | 01:17:56 +00:49 |
| Running 7 | 06:41 | 01:20:55 | 07:51 -01:10 | 01:20:55 +00:00 |
| Sandbag Lunges | 06:43 | 01:27:36 | 07:01 -00:18 | 01:28:46 -01:10 |
| Running 8 | 06:57 | 01:34:19 | 09:09 -02:12 | 01:35:47 -01:28 |
| Wall Balls | 10:57 | 01:41:16 | 07:53 +03:04 | 01:44:56 -03:40 |
| Roxzone | 11:17 | 02:03:23 | 10:34 +00:43 | 02:03:23 |
Allegra Galeandro delivered an impressive performance at the 2024 Milan Hyrox race. She finished in the top 30% of all athletes and within the top 37% of her age group, demonstrating a high level of fitness and competitiveness. Remarkably, her total running time was 06:21 faster than the average, indicating a strong running profile. However, a detailed analysis of her splits, especially from running 1 to running 4, suggests she might have started a bit slower than the average pace but managed to increase her speed substantially as the race progressed.
Based on her performance, Allegra should consider the following strategies for better race performance:
| Similar Athletes | |||
|---|---|---|---|
| Gray Stacey | 2024 Chicago Navy Pier | 02:03:32 | |
| Djodi Dinda | 2024 Melbourne | 02:02:56 | |
| Rosado Sandra | 2023 Madrid | 02:03:07 | |
| Orantes España Ximena | 2024 Ciudad de Mexico | 02:02:55 | |
| Cowling Denyse | 2023 New York | 02:03:33 | |
| Lee Tori | 2024 Dallas | 02:03:34 | |
| Gonzalez Zinnia | 2022 Dallas | 02:03:12 | |
| Fu Nicole | 2022 Hong Kong | 02:03:04 | |
| Wojtinnek Pia | 2023 Köln | 02:03:10 | |
| Osborn Zoe | 2024 London | 02:03:06 | |
| Other Results from this athlete | ||
|---|---|---|
| No other results found for this athlete. | ||
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