Dive into this athlete’s performance at 2024 Paris 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 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 Coogan Shauna'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 Coogan Shauna'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 Coogan Shauna'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 Coogan Shauna'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 05:07. Check the detail of the improvement plan below.
| Splits | Potential Improvement | Time | Focus During Training |
|---|---|---|---|
| Run Total | 03:48 | 48:16 to 44:28 | 74.3% |
| Wall Balls | 00:41 | 05:01 to 04:20 | 13.4% |
| Burpees Broad Jump | 00:38 | 06:15 to 05:37 | 12.4% |
| Ski Erg | 00:00 | 04:35 to 04:35 | 0.0% |
| Sled Push | 00:00 | 02:20 to 02:20 | 0.0% |
| Sled Pull | 00:00 | 04:20 to 04:20 | 0.0% |
| Rowing | 00:00 | 04:41 to 04:41 | 0.0% |
| Farmers Carry | 00:00 | 02:02 to 02:02 | 0.0% |
| Sandbag Lunges | 00:00 | 04:10 to 04:10 | 0.0% |
| Coogan Shauna | Perfect Race | |||
|---|---|---|---|---|
| Splits | Total | Average | Total | |
| Running 1 | 04:33 | 00:00 | 05:03 -00:30 | 00:00 +00:00 |
| Ski Erg | 04:35 | 04:33 | 05:05 -00:30 | 05:03 -00:30 |
| Running 2 | 05:41 | 09:08 | 05:25 +00:16 | 10:08 -01:00 |
| Sled Push | 02:20 | 14:49 | 02:40 -00:20 | 15:33 -00:44 |
| Running 3 | 06:03 | 17:09 | 05:43 +00:20 | 18:13 -01:04 |
| Sled Pull | 04:20 | 23:12 | 05:36 -01:16 | 23:56 -00:44 |
| Running 4 | 06:15 | 27:32 | 05:44 +00:31 | 29:32 -02:00 |
| Burpees Broad Jump | 06:15 | 33:47 | 05:58 +00:17 | 35:16 -01:29 |
| Running 5 | 06:24 | 40:02 | 05:53 +00:31 | 41:14 -01:12 |
| Rowing | 04:41 | 46:26 | 05:19 -00:38 | 47:07 -00:41 |
| Running 6 | 06:17 | 51:07 | 05:46 +00:31 | 52:26 -01:19 |
| Farmers Carry | 02:02 | 57:24 | 02:13 -00:11 | 58:12 -00:48 |
| Running 7 | 06:13 | 59:26 | 05:44 +00:29 | 01:00:25 -00:59 |
| Sandbag Lunges | 04:10 | 01:05:39 | 04:39 -00:29 | 01:06:09 -00:30 |
| Running 8 | 06:54 | 01:09:49 | 06:06 +00:48 | 01:10:48 -00:59 |
| Wall Balls | 05:01 | 01:16:43 | 04:49 +00:12 | 01:16:54 -00:11 |
| Roxzone | 06:44 | 01:28:20 | 06:37 +00:07 | 01:28:20 |
Shauna Coogan has made a commendable performance in the Hyrox race, landing in the top 9% of all 2328 athletes and the top 11% of her age group, 25-29. Her overall time of 01:28:20 demonstrates a high level of fitness and competitiveness. However, there are a few areas that require improvement to further enhance her performance.
Shauna has exhibited a more strength-based profile in this race. While her total running time was slower than the average by 2:33 minutes, she performed exceptionally well in strength-based exercises like Ski Erg, Sled Push, Sled Pull, Rowing, Farmers Carry, and Sandbag Lunges. Her best running lap time was 5:41, which indicates potential for improvement in her running.
It's also worth noting that Shauna started the race at a faster pace than the average in her first running segment, but slowed down in the following segments. This suggests a need for better pacing and endurance training to maintain a consistent speed throughout the race.
Shauna should consider implementing the following strategies in her next race:
| Similar Athletes | |||
|---|---|---|---|
| Wade Rebecca | 2023 Dublin | 01:28:28 | |
| Holmes Tammy | 2024 Paris | 01:28:05 | |
| Yan Yan Lee | 2023 Hong Kong | 01:28:39 | |
| Barnwell Milly | 2024 Dublin | 01:28:26 | |
| Sas Dalma | 2023 Barcelona | 01:28:38 | |
| Pearson Gemma | 2024 Birmingham | 01:28:00 | |
| Schmidt Christina | 2024 Berlin | 01:27:53 | |
| Broxton Gemma | 2024 Manchester | 01:28:32 | |
| Rowland Emily | 2024 Sports Direct HYROX London | 01:28:17 | |
| Hartgen Natalie | 2021 Birmingham | 01:28:13 | |
| Other Results from this athlete | ||
|---|---|---|
| 2024 Malaga | 01:23:38 | |
| 2023 Dublin | 01:31:53 | |
| 2023 Glasgow | 01:26:50 | |
| 2024 Vienna - European Championship | 01:28:49 | |
Unlock your potential with our pace calculator tool, designed to help you craft your ideal race splits and propel yourself to new heights.
Pace Calculator
