Dive into the performance of this athlete for 2022 New York with this analyzer. We look at the performance of similar athletes to assess where are the weakness and the strengths of this athlete. For this specific race, our analysis is based on the performance of 1000 similar athletes.
| Workout Total | 37:11 +00:33 |
|---|---|
| Running Total | 47:15 +01:13 |
| Roxzone | 05:00 -01:44 |
| Average Lap | 05:54 +00:10 |
| Best Lap | 05:14 +00:12 |
We compare the athlete's running times with peers who have similar finish times. Each segment’s time difference is highlighted: green for faster segments, red for slower ones. This gives a clear view of strengths and areas to improve, tailored to relevant performance peers.
We break down workout times by comparing the athlete’s performance to others with matching finish times. Each workout segment displays a time difference: green for quicker and red for slower, offering a targeted look at competitive strengths and areas to refine.
This section showcases the entire Dumaresq Jocelyn'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.
In HYROX racing, pacing is crucial. The pacing line highlights Dumaresq Jocelyn's pacing strategy, identifying segments where they may have started too fast (line below 0) or too slow (line above 0), guiding them toward a more balanced race approach.
This box plot illustrates the spread of splits for similar athletes, providing a visual representation of the distribution of times for each split.
Use this chart to compare the Dumaresq Jocelyn's performance against the competition, identifying areas of strength and those needing improvement.
The chart include Top 10%, 25%, Median, and Bottom 25%, 10% of the distribution.
Based on our analysis, here are the focus areas for improvement. We looked at the results of similar athletes to determine how quickly the athlete could improve on some stations and where is the path of least resistance to improve Dumaresq Jocelyn'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.
| Run Total |
02:56
Potential Improvement
39.6%
Focus During Training
|
| Sled Pull | |
| Sled Push | |
| Wall Balls | |
| Farmers Carry | |
| Ski Erg | |
| Sandbag Lunges | |
| Rowing | |
| Burpees Broad Jump | |
| Roxzone |
| Splits Time | Time from Similar Athletes | |||
|---|---|---|---|---|
| Splits | Total Time | Average | Total Time | |
| Running 1 | 05:14 | 05:14 | 05:06 +00:08 | 05:06 +00:08 |
| Ski Erg | 05:03 | 10:17 | 05:07 -00:04 | 10:13 +00:04 |
| Running 2 | 05:31 | 15:48 | 05:29 +00:02 | 15:42 +00:06 |
| Sled Push | 03:39 | 19:27 | 02:46 +00:53 | 18:28 +00:59 |
| Running 3 | 06:18 | 25:45 | 05:48 +00:30 | 24:16 +01:29 |
| Sled Pull | 07:23 | 33:08 | 05:43 +01:40 | 29:59 +03:09 |
| Running 4 | 05:42 | 38:50 | 05:49 -00:07 | 35:48 +03:02 |
| Burpees Broad Jump | 05:06 | 43:56 | 05:58 -00:52 | 41:46 +02:10 |
| Running 5 | 05:56 | 49:52 | 05:57 -00:01 | 47:43 +02:09 |
| Rowing | 05:10 | 55:02 | 05:22 -00:12 | 53:05 +01:57 |
| Running 6 | 05:57 | 01:00:59 | 05:51 +00:06 | 58:56 +02:03 |
| Farmers Carry | 02:17 | 01:03:16 | 02:17 +00:00 | 01:01:13 +02:03 |
| Running 7 | 06:03 | 01:09:19 | 05:48 +00:15 | 01:07:01 +02:18 |
| Sandbag Lunges | 04:20 | 01:13:39 | 04:43 -00:23 | 01:11:44 +01:55 |
| Running 8 | 06:37 | 01:20:16 | 06:11 +00:26 | 01:17:55 +02:21 |
| Wall Balls | 04:13 | 01:24:29 | 04:42 -00:29 | 01:22:37 +01:52 |
| Roxzone | 05:00 | 01:29:21 | 06:44 -01:44 | 01:29:21 |
Comparing with 1000 athletes
| Similar Athletes | |||
|---|---|---|---|
| Qiao Ciao | 2023 Hong Kong | 01:29:43 | Compare |
| Kaspschak Anja | 2019 Essen | 01:28:59 | Compare |
| Verdan Fanny | 2023 Wien | 01:29:11 | Compare |
| Mclean Meg | 2024 Glasgow | 01:29:16 | Compare |
| Arrazola Gmez Maria | 2023 Malaga | 01:29:06 | Compare |
| Schau Anja | 2023 Hannover | 01:29:43 | Compare |
| Beyer Sophie | 2024 Hamburg | 01:29:17 | Compare |
| Johnson Kelly | 2024 Poznan | 01:29:37 | Compare |
| Van Der Steen Jara | 2024 Amsterdam | 01:29:41 | Compare |
| Hall Sarah | 2023 Birmingham | 01:29:09 | Compare |
| Other Results from this athlete | ||
|---|---|---|
| 2023 New York | 01:32:39 | Compare |
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