Dive into the performance of this athlete for 2024 Rimini 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 | 41:35 +05:01 |
|---|---|
| Running Total | 41:01 -04:53 |
| Roxzone | 06:36 -00:06 |
| Average Lap | 05:08 -00:36 |
| 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 Di Luca Gioconda'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 Di Luca Gioconda'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 Di Luca Gioconda'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 Di Luca Gioconda'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.
| Sled Pull |
03:39
Potential Improvement
37.0%
Focus During Training
|
| Sandbag Lunges | |
| Sled Push | |
| Rowing | |
| Wall Balls | |
| Ski Erg | |
| Roxzone | |
| Farmers Carry | |
| Burpees Broad Jump | |
| Run Total |
| Splits Time | Time from Similar Athletes | |||
|---|---|---|---|---|
| Splits | Total Time | Average | Total Time | |
| Running 1 | 03:10 | 03:10 | 05:05 -01:55 | 05:05 -01:55 |
| Ski Erg | 05:40 | 08:50 | 05:06 +00:34 | 10:11 -01:21 |
| Running 2 | 05:25 | 14:15 | 05:28 -00:03 | 15:39 -01:24 |
| Sled Push | 03:21 | 17:36 | 02:45 +00:36 | 18:24 -00:48 |
| Running 3 | 05:22 | 22:58 | 05:48 -00:26 | 24:12 -01:14 |
| Sled Pull | 08:35 | 31:33 | 05:42 +02:53 | 29:54 +01:39 |
| Running 4 | 05:26 | 36:59 | 05:49 -00:23 | 35:43 +01:16 |
| Burpees Broad Jump | 04:55 | 41:54 | 05:57 -01:02 | 41:40 +00:14 |
| Running 5 | 05:24 | 47:18 | 05:55 -00:31 | 47:35 -00:17 |
| Rowing | 06:11 | 53:29 | 05:22 +00:49 | 52:57 +00:32 |
| Running 6 | 05:14 | 58:43 | 05:50 -00:36 | 58:47 -00:04 |
| Farmers Carry | 02:14 | 01:00:57 | 02:17 -00:03 | 01:01:04 -00:07 |
| Running 7 | 05:25 | 01:06:22 | 05:48 -00:23 | 01:06:52 -00:30 |
| Sandbag Lunges | 05:49 | 01:12:11 | 04:42 +01:07 | 01:11:34 +00:37 |
| Running 8 | 05:39 | 01:17:50 | 06:09 -00:30 | 01:17:43 +00:07 |
| Wall Balls | 04:50 | 01:22:40 | 04:43 +00:07 | 01:22:26 +00:14 |
| Roxzone | 06:36 | 01:29:08 | 06:42 -00:06 | 01:29:08 |
Comparing with 1000 athletes
| Similar Athletes | |||
|---|---|---|---|
| De Gaye Camille | 2024 Paris | 01:29:34 | Compare |
| Cullen Debs | 2024 Dublin | 01:29:28 | Compare |
| Sexton Macey | 2022 New York | 01:29:05 | Compare |
| Longley Bethan | 2022 London | 01:29:35 | Compare |
| Minkoff Debby | 2023 Manchester | 01:29:02 | Compare |
| Stewart Natalie | 2023 London | 01:29:26 | Compare |
| Tevlin Colleen | 2023 Chicago - North American Open Championship | 01:29:26 | Compare |
| Flanagan Ciara | 2024 Malaga | 01:29:17 | Compare |
| Dzido Isia | 2024 Sports Direct HYROX London | 01:29:29 | Compare |
| De Jong Yulia | 2023 Amsterdam | 01:29:17 | Compare |
| Other Results from this athlete | ||
|---|---|---|
| No other results found for this athlete. | ||
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