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 689 similar athletes.
We compare the athlete's running times with peers who have similar finish times. This chart helps you quickly determine if your running pace was too fast or too slow for your overall finish time.
We compare the athlete's workout times for each station with peers who have similar finish times. This chart helps you quickly identify if any workouts were too fast or too slow relative to your overall finish time.
This section showcases the entire Marigliano Rosa's performance at each station and run segment compared to the average.
It reveals strengths and areas for improvement, providing insights into how the athlete's times stack up against typical HYROX competitors with same finish time.
In HYROX racing, pacing is crucial. The pacing line highlights Marigliano Rosa's pacing strategy, identifying segments where they may have started too fast or too slow, guiding them toward a more balanced race approach.
This chart illustrates the spread of splits of all athletes competing in the same division, providing a visual representation of the distribution of times for each split.
Use this chart to compare the Marigliano Rosa's performance against the competition, identifying areas of strength and those needing improvement.
This chart includes Top 10%, Top 25%, Top 50%, Top 75%, Top 90%, and Top 100% of the athletes. The outliers have been removed for clarity.
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 Marigliano Rosa'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 04:21. Check the detail of the improvement plan below.
| Splits | Potential Improvement | Time | Focus During Training |
|---|---|---|---|
| Wall Balls | 01:34 | 07:42 to 06:08 | 36.0% |
| Sled Push | 01:33 | 04:43 to 03:10 | 35.6% |
| Sled Pull | 01:10 | 07:53 to 06:43 | 26.8% |
| Burpees Broad Jump | 00:04 | 07:37 to 07:33 | 1.5% |
| Ski Erg | 00:00 | 05:21 to 05:21 | 0.0% |
| Rowing | 00:00 | 05:28 to 05:28 | 0.0% |
| Farmers Carry | 00:00 | 02:19 to 02:19 | 0.0% |
| Sandbag Lunges | 00:00 | 05:35 to 05:35 | 0.0% |
| Run Total | 00:00 | 49:52 to 49:52 | 0.0% |
| Marigliano Rosa | Perfect Race | |||
|---|---|---|---|---|
| Splits | Total | Average | Total | |
| Running 1 | 06:52 | 00:00 | 05:45 +01:07 | 00:00 +00:00 |
| Ski Erg | 05:21 | 06:52 | 05:24 -00:03 | 05:45 +01:07 |
| Running 2 | 06:06 | 12:13 | 06:12 -00:06 | 11:09 +01:04 |
| Sled Push | 04:43 | 18:19 | 03:10 +01:33 | 17:21 +00:58 |
| Running 3 | 06:17 | 23:02 | 06:36 -00:19 | 20:31 +02:31 |
| Sled Pull | 07:53 | 29:19 | 06:46 +01:07 | 27:07 +02:12 |
| Running 4 | 06:10 | 37:12 | 06:38 -00:28 | 33:53 +03:19 |
| Burpees Broad Jump | 07:37 | 43:22 | 07:50 -00:13 | 40:31 +02:51 |
| Running 5 | 06:12 | 50:59 | 06:52 -00:40 | 48:21 +02:38 |
| Rowing | 05:28 | 57:11 | 05:45 -00:17 | 55:13 +01:58 |
| Running 6 | 06:19 | 01:02:39 | 06:43 -00:24 | 01:00:58 +01:41 |
| Farmers Carry | 02:19 | 01:08:58 | 02:35 -00:16 | 01:07:41 +01:17 |
| Running 7 | 06:23 | 01:11:17 | 06:43 -00:20 | 01:10:16 +01:01 |
| Sandbag Lunges | 05:35 | 01:17:40 | 05:50 -00:15 | 01:16:59 +00:41 |
| Running 8 | 05:37 | 01:23:15 | 07:25 -01:48 | 01:22:49 +00:26 |
| Wall Balls | 07:42 | 01:28:52 | 06:21 +01:21 | 01:30:14 -01:22 |
| Roxzone | 08:54 | 01:45:21 | 08:46 +00:08 | 01:45:21 |
Rosa Marigliano, competing in the HYROX event, presented an impressive performance in the age group of 30-34. With an overall rank of 487, she stood in the top 23% of 2043 athletes, and in her age group, she ranked 128, marking her place in the top 25% of 509 athletes.
Her total running time of 49:52 was notably faster than the average by 03:20, indicating a strong running profile. She excelled particularly in the last running segment, Running 8, with a time of 05:37, a full 01:53 faster than the average, placing her within the top 5 percentile.
Reviewing the splits from Running 1 to Running 4, it appears Rosa started the race a bit slower than average, but as the race progressed, she picked up speed and finished strong. This suggests that Rosa possesses good endurance and pacing skills, as she was able to maintain and even increase her speed throughout the race. However, her slower start could indicate room for improvement in her initial race strategy.
Given Rosa's strong running profile, she should leverage this strength by starting the race at a faster pace. This could help her gain a better initial position and potentially improve her overall time. Furthermore, she should focus on maintaining a steady pace throughout the race to avoid exhaustion towards the end.
During the strength segments, Rosa should aim to maintain a steady rhythm and focus on her form to avoid fatigue and potential injury. In particular, during the Wall Balls, Sled Push, and Sled Pull segments, she should remember to use her legs and core more than her upper body to preserve energy.
In the Roxzone, Rosa should focus on quick transitions and maintaining momentum. Practicing transitions during training could help her become more efficient and shave valuable seconds off her overall time.
| Similar Athletes | |||
|---|---|---|---|
| Jackson Stacey | 2023 Melbourne | 01:45:02 | |
| 楊 幸鈞 | 2024 Taipei | 01:45:50 | |
| Schulte Meira | 2024 Hamburg | 01:45:45 | |
| Dean Ann | 2023 London | 01:45:17 | |
| Paul Hannah | 2022 London | 01:45:31 | |
| Moog Helena | 2024 Frankfurt | 01:45:11 | |
| Beukman Lisan | 2024 Amsterdam | 01:45:26 | |
| Mcghee Gemma | 2024 Glasgow | 01:45:38 | |
| Li Téa Alexandra | 2024 Hong Kong | 01:45:34 | |
| Monck Abigail | 2021 London | 01:44:55 | |
| Other Results from this athlete | ||
|---|---|---|
| No other results found for this athlete. | ||
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