Dive into the performance of this athlete for 2022 Hamburg 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 949 similar athletes.
| Workout Total | 40:27 -00:07 |
|---|---|
| Running Total | 50:18 +00:44 |
| Roxzone | 07:17 -00:30 |
| Average Lap | 06:17 +00:05 |
| Best Lap | 05:38 +00:15 |
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 Dettmann Jennifer'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 Dettmann Jennifer'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 Dettmann Jennifer'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 Dettmann Jennifer'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 |
02:38
Potential Improvement
33.5%
Focus During Training
|
| Wall Balls | |
| Farmers Carry | |
| Burpees Broad Jump | |
| Sled Push | |
| Roxzone | |
| Rowing | |
| Sandbag Lunges | |
| Ski Erg | |
| Sled Pull |
| Splits Time | Time from Similar Athletes | |||
|---|---|---|---|---|
| Splits | Total Time | Average | Total Time | |
| Running 1 | 05:43 | 00:00 | 05:27 +00:16 | 00:00 +00:00 |
| Ski Erg | 05:06 | 05:43 | 05:16 -00:10 | 05:27 +00:16 |
| Running 2 | 05:38 | 10:49 | 05:53 -00:15 | 10:43 +00:06 |
| Sled Push | 03:04 | 16:27 | 02:59 +00:05 | 16:36 -00:09 |
| Running 3 | 06:09 | 19:31 | 06:13 -00:04 | 19:35 -00:04 |
| Sled Pull | 05:04 | 25:40 | 06:18 -01:14 | 25:48 -00:08 |
| Running 4 | 06:23 | 30:44 | 06:14 +00:09 | 32:06 -01:22 |
| Burpees Broad Jump | 06:47 | 37:07 | 06:59 -00:12 | 38:20 -01:13 |
| Running 5 | 06:36 | 43:54 | 06:26 +00:10 | 45:19 -01:25 |
| Rowing | 05:47 | 50:30 | 05:35 +00:12 | 51:45 -01:15 |
| Running 6 | 06:19 | 56:17 | 06:17 +00:02 | 57:20 -01:03 |
| Farmers Carry | 03:32 | 01:02:36 | 02:27 +01:05 | 01:03:37 -01:01 |
| Running 7 | 06:20 | 01:06:08 | 06:16 +00:04 | 01:06:04 +00:04 |
| Sandbag Lunges | 04:54 | 01:12:28 | 05:20 -00:26 | 01:12:20 +00:08 |
| Running 8 | 07:14 | 01:17:22 | 06:50 +00:24 | 01:17:40 -00:18 |
| Wall Balls | 06:13 | 01:24:36 | 05:40 +00:33 | 01:24:30 +00:06 |
| Roxzone | 07:17 | 01:37:57 | 07:47 -00:30 | 01:37:57 |
Comparing with 949 athletes
| Similar Athletes | |||
|---|---|---|---|
| Kim Melissa | 2023 Los Angeles | 01:37:29 | Compare |
| Trapichler Andrea | 2018 Wien | 01:38:08 | Compare |
| Schreiber Edith | 2023 München | 01:38:03 | Compare |
| Rodríguez Sánchez Kenia | 2024 Ciudad de Mexico | 01:37:27 | Compare |
| van Ginkel Teresa | 2021 Amsterdam | 01:37:27 | Compare |
| Clydesdale Aimee | 2023 Glasgow | 01:37:36 | Compare |
| Vadakkumchery Stefy | 2024 Birmingham | 01:38:22 | Compare |
| Rukhadze Eka | 2024 Beijing | 01:38:24 | Compare |
| Bendsen Merrit | 2024 Hamburg | 01:37:59 | Compare |
| Vand Leila | 2024 Malaga | 01:37:29 | Compare |
| Other Results from this athlete | ||
|---|---|---|
| No other results found for this athlete. | ||
Unlock your potential with our pace calculator tool, designed to help you craft your ideal race splits and propel yourself to new heights.
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