Dive into this athlete’s performance at 2022 London 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 32 similar athletes.
We stack your running times against athletes with similar finish times to see how you measure up. This chart breaks it down, showing whether you were blazing fast, cruising steady, or losing pace.
It’s all about finding out if your running strategy matched your overall finish time!
We pit your station times against athletes with similar finish times to see how you stack up. This chart shows if you crushed it, coasted, or found that sweet spot for your overall finish time.
Here’s the full breakdown of Graham Marianna's race, station by station and run by run, stacked against the average of athletes with similar finish times.
In HYROX, pacing is the name of the game. The pacing line shows where Graham Marianna hit the gas, tapped the brakes, or nailed it perfectly—guiding the way to a more balanced and dominant race strategy.
With the RoxCoach Simulation machine, you can see how your predicted finish time evolves as you power through your race. This next-level tech recalculates your estimated finish time after every run and every station. Crushing the sled pull? Gaining ground on the row? Or holding strong in the Wall Balls? RoxCoach tracks it all, giving you the inside scoop on where you shined and where there’s room to level up.
This chart breaks down the splits for every athlete in the division, giving you a clear look at how times are distributed across the pack.
Compare Graham Marianna’s performance to the competition, spotting where they dominated and where there’s room to improve.
You’ll see how they stack up against the Top 10%, 25%, 50%, 75%, and beyond. Outliers are out—so the focus stays on the real competition.
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 Graham Marianna'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 23:33. Check the detail of the improvement plan below.
| Splits | Potential Improvement | Time | Focus During Training |
|---|---|---|---|
| Run Total | 11:36 | 01:15:40 to 01:04:04 | 49.3% |
| Burpees Broad Jump | 07:20 | 18:20 to 11:00 | 31.1% |
| Sandbag Lunges | 03:23 | 11:19 to 07:56 | 14.4% |
| Sled Pull | 01:10 | 10:21 to 09:11 | 5.0% |
| Farmers Carry | 00:04 | 03:26 to 03:22 | 0.3% |
| Ski Erg | 00:00 | 05:06 to 05:06 | 0.0% |
| Sled Push | 00:00 | 03:55 to 03:55 | 0.0% |
| Rowing | 00:00 | 05:57 to 05:57 | 0.0% |
| Wall Balls | 00:00 | 06:00 to 06:00 | 0.0% |
| Graham Marianna | Perfect Race | |||
|---|---|---|---|---|
| Splits | Total | Average | Total | |
| Running 1 | 07:23 | 00:00 | 07:27 -00:04 | 00:00 +00:00 |
| Ski Erg | 05:06 | 07:23 | 06:01 -00:55 | 07:27 -00:04 |
| Running 2 | 08:20 | 12:29 | 08:46 -00:26 | 13:28 -00:59 |
| Sled Push | 03:55 | 20:49 | 03:45 +00:10 | 22:14 -01:25 |
| Running 3 | 08:37 | 24:44 | 09:17 -00:40 | 25:59 -01:15 |
| Sled Pull | 10:21 | 33:21 | 10:25 -00:04 | 35:16 -01:55 |
| Running 4 | 08:58 | 43:42 | 09:40 -00:42 | 45:41 -01:59 |
| Burpees Broad Jump | 18:20 | 52:40 | 13:19 +05:01 | 55:21 -02:41 |
| Running 5 | 09:06 | 01:11:00 | 10:22 -01:16 | 01:08:40 +02:20 |
| Rowing | 05:57 | 01:20:06 | 06:32 -00:35 | 01:19:02 +01:04 |
| Running 6 | 10:06 | 01:26:03 | 09:48 +00:18 | 01:25:34 +00:29 |
| Farmers Carry | 03:26 | 01:36:09 | 03:28 -00:02 | 01:35:22 +00:47 |
| Running 7 | 10:11 | 01:39:35 | 09:55 +00:16 | 01:38:50 +00:45 |
| Sandbag Lunges | 11:19 | 01:49:46 | 09:55 +01:24 | 01:48:45 +01:01 |
| Running 8 | 13:03 | 02:01:05 | 12:08 +00:55 | 01:58:40 +02:25 |
| Wall Balls | 06:00 | 02:14:08 | 09:53 -03:53 | 02:10:48 +03:20 |
| Roxzone | 12:18 | 02:32:18 | 11:37 +00:41 | 02:32:18 |
Marianna's best running lap was 00:07:23, which was 00:04 faster than the average. Her performance in the ski erg, sled push, sled pull, rowing, and wall balls segments was also faster than the average. However, she struggled in the burpees broad jump, sandbag lunges, running 7, running 8, running 6, and the roxzone segments, where she lost significant time compared to the average.
Best Lap: Marianna's best lap time was impressive, being 00:04 faster than the average. This indicates that she has the potential to excel in running. To further enhance her running performance, she should incorporate long-distance runs, interval training, and hill workouts into her training routine. This will help improve her endurance and speed.
Marianna should also pay attention to her form and technique during each segment. Proper form and technique can help optimize performance and reduce the risk of injury. She should practice each exercise and movement pattern with correct form, ensuring she engages the appropriate muscles and avoids any unnecessary energy expenditure.
Additionally, Marianna should strategize her transitions between exercises to minimize time spent in the roxzone. Practicing smooth and efficient transitions during training can help her improve her overall race time.
In conclusion, Marianna Graham performed well in the HYROX race in London. While she excelled in certain segments, there are areas for improvement, such as the burpees broad jump, roxzone, sandbag lunges, and running segments 6, 7, and 8. By implementing specific training strategies and techniques, focusing on strength and agility, and improving her transitions, Marianna can enhance her overall performance in future races.
| Similar Athletes | |||
|---|---|---|---|
| Vinayakk Sambamurthy Archana | 2024 Singapore National Stadium | 02:31:51 | |
| Morris Jen | 2023 Glasgow | 02:32:43 | |
| Dasani Anvita | 2023 Dubai | 02:31:51 | |
| Wong Sara | 2024 Hong Kong | 02:31:52 | |
| Mcauley Clodagh | 2024 Malaga | 02:32:38 | |
| Anderson Zayari | 2024 Ciudad de Mexico | 02:32:25 | |
| Sepulveda Jamie | 2024 Anaheim | 02:32:45 | |
| 祝 雨婷 | 2024 Beijing | 02:32:43 | |
| Gong Amy | 2024 Hong Kong | 02:32:29 | |
| Groves Shelley | 2024 Birmingham | 02:32:01 | |
| Other Results from this athlete | ||
|---|---|---|
| No other results found for this athlete. | ||
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