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 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 07:01. Check the detail of the improvement plan below.
| Splits | Potential Improvement | Focus During Training |
|---|---|---|
| Wall Balls | 02:37 (From 07:31 to 04:54) | 37.3% |
| Sled Pull | 01:48 (From 07:30 to 05:42) | 25.7% |
| BBJ | 01:18 (From 07:31 to 06:13) | 18.5% |
| Ski Erg | 00:37 (From 05:44 to 05:07) | 8.8% |
| Farmers Carry | 00:28 (From 02:41 to 02:13) | 6.7% |
| Sandbag Lunges | 00:11 (From 05:02 to 04:51) | 2.6% |
| Rowing | 00:02 (From 05:25 to 05:23) | 0.5% |
| Sled Push | 00:00 (From 02:23 to 02:23) | 0.0% |
| Run Total | 00:00 (From 43:29 to 43:29) | 0.0% |
| Di Santi Angela | Perfect Race | |||
|---|---|---|---|---|
| Splits | Total | Average | Total | |
| Running 1 | 06:06 | 00:00 | 05:16 +00:50 | 00:00 +00:00 |
| Ski Erg | 05:44 | 06:06 | 05:10 +00:34 | 05:16 +00:50 |
| Running 2 | 04:58 | 11:50 | 05:38 -00:40 | 10:26 +01:24 |
| Sled Push | 02:23 | 16:48 | 02:52 -00:29 | 16:04 +00:44 |
| Running 3 | 05:19 | 19:11 | 05:58 -00:39 | 18:56 +00:15 |
| Sled Pull | 07:30 | 24:30 | 06:03 +01:27 | 24:54 -00:24 |
| Running 4 | 05:34 | 32:00 | 05:59 -00:25 | 30:57 +01:03 |
| Burpees Broad Jump | 07:31 | 37:34 | 06:35 +00:56 | 36:56 +00:38 |
| Running 5 | 05:35 | 45:05 | 06:10 -00:35 | 43:31 +01:34 |
| Rowing | 05:25 | 50:40 | 05:28 -00:03 | 49:41 +00:59 |
| Running 6 | 05:39 | 56:05 | 06:03 -00:24 | 55:09 +00:56 |
| Farmers Carry | 02:41 | 01:01:44 | 02:21 +00:20 | 01:01:12 +00:32 |
| Running 7 | 05:48 | 01:04:25 | 06:02 -00:14 | 01:03:33 +00:52 |
| Sandbag Lunges | 05:02 | 01:10:13 | 05:02 +00:00 | 01:09:35 +00:38 |
| Running 8 | 04:34 | 01:15:15 | 06:33 -01:59 | 01:14:37 +00:38 |
| Wall Balls | 07:31 | 01:19:49 | 05:16 +02:15 | 01:21:10 -01:21 |
| Roxzone | 06:33 | 01:33:45 | 07:19 -00:46 | 01:33:45 |
Angela Di Santi delivered an impressive performance in the 2024 Milan HYROX event, finishing within the top 14% of 2043 athletes. She demonstrated a strong runner profile, with her total running time around 04:35 faster than the average. Her best running lap clocked in at an impressive 00:04:34. However, her initial pace in the first running segment was noticeably slower than average, which suggests a potential area for improvement in her race-start strategy. Despite this, Angela was able to maintain a consistent pace throughout the rest of the race, resulting in her strong overall finish. Her roxzone time was faster than average, indicating efficient transitions and rest periods between exercise zones.
Angela should work on her race-start strategy, as her initial pace in the first running segment was slower than average. A more aggressive start could potentially improve her overall time. During the race, she should also focus on maintaining her running pace after strength exercises, as she seems to excel in these segments. Furthermore, she should prioritize efficient transitions between exercise zones to optimize her roxzone time. Lastly, focusing on her form and technique, especially in strength segments, could significantly improve her performance and overall time.
| Similar Athletes | |||
|---|---|---|---|
| Pichon Fynia | 2023 Hamburg | 01:33:33 | |
| Callaly Caoimhe | 2024 Sydney | 01:33:54 | |
| Mc Kinney Deborah | 2023 Dublin | 01:33:53 | |
| Rutt Jenny | 2022 Los Angeles | 01:33:45 | |
| Cook Caitlin | 2023 Birmingham | 01:33:33 | |
| Raeppold Manuela | 2023 Amsterdam | 01:33:20 | |
| Au Young Clare | 2023 Hong Kong | 01:33:47 | |
| Jansen Marcelle | 2024 Maastricht | 01:33:24 | |
| Wild Kyra | 2024 Frankfurt | 01:34:00 | |
| Saucedo Mayra | 2023 Dallas | 01:33:16 | |
| Other Results from this athlete | ||
|---|---|---|
| No other results found for this athlete. | ||
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Di Santi Angela
