Dive into this athlete’s performance at 2024 Ciudad de Mexico 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 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 Sendra Paloma'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 Sendra Paloma 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 Sendra Paloma’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 Sendra Paloma'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 05:15. Check the detail of the improvement plan below.
| Splits | Potential Improvement | Time | Focus During Training |
|---|---|---|---|
| Wall Balls | 01:48 | 05:48 to 04:00 | 34.3% |
| Rowing | 01:17 | 06:25 to 05:08 | 24.4% |
| Sled Pull | 01:10 | 06:06 to 04:56 | 22.2% |
| Ski Erg | 00:51 | 05:45 to 04:54 | 16.2% |
| Farmers Carry | 00:09 | 02:09 to 02:00 | 2.9% |
| Sled Push | 00:00 | 02:09 to 02:09 | 0.0% |
| Burpees Broad Jump | 00:00 | 04:45 to 04:45 | 0.0% |
| Sandbag Lunges | 00:00 | 04:12 to 04:12 | 0.0% |
| Run Total | 00:00 | 42:38 to 42:38 | 0.0% |
| Sendra Paloma | Perfect Race | |||
|---|---|---|---|---|
| Splits | Total | Average | Total | |
| Running 1 | 06:11 | 00:00 | 04:57 +01:14 | 00:00 +00:00 |
| Ski Erg | 05:45 | 06:11 | 05:00 +00:45 | 04:57 +01:14 |
| Running 2 | 04:52 | 11:56 | 05:16 -00:24 | 09:57 +01:59 |
| Sled Push | 02:09 | 16:48 | 02:36 -00:27 | 15:13 +01:35 |
| Running 3 | 05:14 | 18:57 | 05:30 -00:16 | 17:49 +01:08 |
| Sled Pull | 06:06 | 24:11 | 05:22 +00:44 | 23:19 +00:52 |
| Running 4 | 05:19 | 30:17 | 05:32 -00:13 | 28:41 +01:36 |
| Burpees Broad Jump | 04:45 | 35:36 | 05:35 -00:50 | 34:13 +01:23 |
| Running 5 | 05:25 | 40:21 | 05:40 -00:15 | 39:48 +00:33 |
| Rowing | 06:25 | 45:46 | 05:15 +01:10 | 45:28 +00:18 |
| Running 6 | 05:08 | 52:11 | 05:34 -00:26 | 50:43 +01:28 |
| Farmers Carry | 02:09 | 57:19 | 02:09 +00:00 | 56:17 +01:02 |
| Running 7 | 05:05 | 59:28 | 05:31 -00:26 | 58:26 +01:02 |
| Sandbag Lunges | 04:12 | 01:04:33 | 04:26 -00:14 | 01:03:57 +00:36 |
| Running 8 | 05:28 | 01:08:45 | 05:52 -00:24 | 01:08:23 +00:22 |
| Wall Balls | 05:48 | 01:14:13 | 04:28 +01:20 | 01:14:15 -00:02 |
| Roxzone | 05:07 | 01:24:59 | 06:16 -01:09 | 01:24:59 |
Paloma Sendra has shown an exceptional performance in the 2024 Ciudad de Mexico HYROX race, landing in the top 1% of all participants and ranking 5th in her age group. Her total running time was 01:29 faster than the average, indicating a strong runner profile. However, her slower start in the first running segment suggests that she may have been pacing herself too slow initially.
Her overall time of 01:24:59 is commendable, especially considering her impressive performance in the roxzone, where she was 01:03 faster than average. This suggests an effective transition time and overall fitness level. Considering her running segments, it seems she started off slower but managed to maintain a consistent pace throughout, improving her times in the later segments.
Moving forward, Paloma should consider starting off at a faster pace in the initial running segments, as she showed she could maintain a consistent speed throughout the race despite a slower start. This could help shave off some time from her overall performance.
Additionally, focusing on improving her transition times between exercises can help reduce her overall race time. This can be achieved by practicing transitions during training sessions. Also, maintaining a consistent pace throughout the race, rather than starting slow and trying to catch up later, could lead to a better overall time.
Finally, incorporating more strength training, especially for the specific areas highlighted, can help improve her performance in the strength-based segments of the race.
| Similar Athletes | |||
|---|---|---|---|
| Hardman Georgia | 2024 Manchester | 01:25:03 | |
| Leary Charlotte | 2023 London | 01:24:42 | |
| Sero Mora Alicia | 2023 Valencia | 01:24:31 | |
| Tan Michelle | 2024 Incheon | 01:24:55 | |
| Jaboulay Sophie | 2024 Marseille | 01:24:55 | |
| Perez Litran Marta | 2024 Madrid | 01:25:20 | |
| Baroin Anne | 2024 Bordeaux | 01:24:52 | |
| Winkler Kimberley | 2019 Karlsruhe | 01:24:53 | |
| Teut Chelsea | 2023 Dallas | 01:25:25 | |
| Caldbeck Corynne | 2024 Vienna - European Championship | 01:24:52 | |
| Other Results from this athlete | ||
|---|---|---|
| No other results found for this athlete. | ||
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