Dive into this athlete’s performance at 2024 Singapore 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 76 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 Collado Mary Ann'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 Collado Mary Ann 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 Collado Mary Ann’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 Collado Mary Ann'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 04:31. Check the detail of the improvement plan below.
| Splits | Potential Improvement | Time | Focus During Training |
|---|---|---|---|
| Wall Balls | 02:28 | 10:49 to 08:21 | 54.6% |
| Ski Erg | 00:43 | 05:52 to 05:09 | 15.9% |
| Run Total | 00:42 | 49:49 to 49:07 | 15.5% |
| Rowing | 00:32 | 06:01 to 05:29 | 11.8% |
| Farmers Carry | 00:06 | 03:32 to 03:26 | 2.2% |
| Sled Push | 00:00 | 04:09 to 04:09 | 0.0% |
| Sled Pull | 00:00 | 08:25 to 08:25 | 0.0% |
| Burpees Broad Jump | 00:00 | 05:07 to 05:07 | 0.0% |
| Sandbag Lunges | 00:00 | 06:09 to 06:09 | 0.0% |
| Collado Mary Ann | Perfect Race | |||
|---|---|---|---|---|
| Splits | Total | Average | Total | |
| Running 1 | 05:24 | 00:00 | 04:56 +00:28 | 00:00 +00:00 |
| Ski Erg | 05:52 | 05:24 | 05:13 +00:39 | 04:56 +00:28 |
| Running 2 | 05:56 | 11:16 | 05:51 +00:05 | 10:09 +01:07 |
| Sled Push | 04:09 | 17:12 | 05:15 -01:06 | 16:00 +01:12 |
| Running 3 | 06:20 | 21:21 | 06:23 -00:03 | 21:15 +00:06 |
| Sled Pull | 08:25 | 27:41 | 08:49 -00:24 | 27:38 +00:03 |
| Running 4 | 06:24 | 36:06 | 06:23 +00:01 | 36:27 -00:21 |
| Burpees Broad Jump | 05:07 | 42:30 | 06:43 -01:36 | 42:50 -00:20 |
| Running 5 | 06:09 | 47:37 | 06:31 -00:22 | 49:33 -01:56 |
| Rowing | 06:01 | 53:46 | 05:30 +00:31 | 56:04 -02:18 |
| Running 6 | 05:53 | 59:47 | 06:22 -00:29 | 01:01:34 -01:47 |
| Farmers Carry | 03:32 | 01:05:40 | 03:34 -00:02 | 01:07:56 -02:16 |
| Running 7 | 06:09 | 01:09:12 | 06:33 -00:24 | 01:11:30 -02:18 |
| Sandbag Lunges | 06:09 | 01:15:21 | 06:50 -00:41 | 01:18:03 -02:42 |
| Running 8 | 07:40 | 01:21:30 | 07:24 +00:16 | 01:24:53 -03:23 |
| Wall Balls | 10:49 | 01:29:10 | 08:31 +02:18 | 01:32:17 -03:07 |
| Roxzone | 08:50 | 01:48:37 | 07:49 +01:01 | 01:48:37 |
Mary Ann Collado delivered a commendable performance at the 2024 Singapore HYROX event, achieving an overall rank of 43, which places her in the top 23% of all competitors. Her rank of 8 within her age group (40-44) also highlights her competitive edge. A key strength in Mary Ann's performance was her total running time of 00:49:49, which was 00:14 faster than the average, indicating that she has a strong running profile. This suggests that her running ability is above average, which helped her gain time in several running segments. However, the initial running segment indicates that she may have started slightly slower than ideal, suggesting a conservative pacing approach early in the race. Overall, Mary Ann displays a hybrid profile, with potential for further improvement in strength-based exercises.
| Similar Athletes | |||
|---|---|---|---|
| Dino Kathleen Mary | 2022 Hong Kong | 01:48:15 | |
| Chapman Charlotte | 2022 London | 01:48:11 | |
| Franco Rosa | 2023 World Championships Manchester | 01:48:56 | |
| Pfund Andrea | 2022 Las Vegas | 01:48:29 | |
| Lawrenson Leona | 2023 Birmingham | 01:48:44 | |
| Rayworth Sophia | 2023 Birmingham | 01:48:12 | |
| Limon Adriana | 2020 Dallas | 01:48:09 | |
| Maskell Rachel | 2024 Manchester | 01:48:57 | |
| Stojanovic Jelena | 2024 Melbourne | 01:49:00 | |
| Mohamad Ahsik Hera Iman | 2024 Incheon | 01:48:11 | |
| Other Results from this athlete | ||
|---|---|---|
| No other results found for this athlete. | ||
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