Dive into this athlete’s performance at 2024 Milan 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 91 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 Marzi Marika'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 Marzi Marika 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 Marzi Marika’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 Marzi Marika'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 06:43. Check the detail of the improvement plan below.
| Splits | Potential Improvement | Time | Focus During Training |
|---|---|---|---|
| Sled Pull | 02:26 | 10:27 to 08:01 | 36.2% |
| Sandbag Lunges | 01:37 | 07:48 to 06:11 | 24.1% |
| Farmers Carry | 01:14 | 04:30 to 03:16 | 18.4% |
| Wall Balls | 00:54 | 08:51 to 07:57 | 13.4% |
| Sled Push | 00:32 | 05:24 to 04:52 | 7.9% |
| Ski Erg | 00:00 | 05:02 to 05:02 | 0.0% |
| Burpees Broad Jump | 00:00 | 05:06 to 05:06 | 0.0% |
| Rowing | 00:00 | 05:18 to 05:18 | 0.0% |
| Run Total | 00:00 | 44:04 to 44:04 | 0.0% |
| Marzi Marika | Perfect Race | |||
|---|---|---|---|---|
| Splits | Total | Average | Total | |
| Running 1 | 05:41 | 00:00 | 05:05 +00:36 | 00:00 +00:00 |
| Ski Erg | 05:02 | 05:41 | 05:04 -00:02 | 05:05 +00:36 |
| Running 2 | 04:29 | 10:43 | 05:38 -01:09 | 10:09 +00:34 |
| Sled Push | 05:24 | 15:12 | 05:00 +00:24 | 15:47 -00:35 |
| Running 3 | 07:14 | 20:36 | 06:02 +01:12 | 20:47 -00:11 |
| Sled Pull | 10:27 | 27:50 | 08:47 +01:40 | 26:49 +01:01 |
| Running 4 | 07:20 | 38:17 | 06:12 +01:08 | 35:36 +02:41 |
| Burpees Broad Jump | 05:06 | 45:37 | 06:14 -01:08 | 41:48 +03:49 |
| Running 5 | 05:00 | 50:43 | 06:16 -01:16 | 48:02 +02:41 |
| Rowing | 05:18 | 55:43 | 05:26 -00:08 | 54:18 +01:25 |
| Running 6 | 04:58 | 01:01:01 | 06:11 -01:13 | 59:44 +01:17 |
| Farmers Carry | 04:30 | 01:05:59 | 03:16 +01:14 | 01:05:55 +00:04 |
| Running 7 | 04:55 | 01:10:29 | 06:17 -01:22 | 01:09:11 +01:18 |
| Sandbag Lunges | 07:48 | 01:15:24 | 06:10 +01:38 | 01:15:28 -00:04 |
| Running 8 | 04:31 | 01:23:12 | 06:50 -02:19 | 01:21:38 +01:34 |
| Wall Balls | 08:51 | 01:27:43 | 07:56 +00:55 | 01:28:28 -00:45 |
| Roxzone | 07:37 | 01:44:03 | 07:39 -00:02 | 01:44:03 |
Marika Marzi delivered an impressive performance at the 2024 Milan Hyrox race, securing an overall rank of 66, placing her in the top 24% out of 274 athletes. In her age group (30-34), she ranked 11th, which places her in the top 16% of 66 competitors.
Her total running time of 44:04 was notably 4:47 faster than the average, highlighting her strong running abilities. This suggests that Marika has a runner profile and could benefit from increasing her strength training to enhance her performance in non-running segments.
Marika's pacing strategy appeared to start slower, as seen in the slower times for Running 1, 3, and 4, but she gained significant time in the later running segments, indicating strong endurance and finishing power.
| Similar Athletes | |||
|---|---|---|---|
| Den Hoedt Vera | 2024 Köln | 01:44:22 | |
| McGhee Kimberly | 2023 Dallas | 01:43:49 | |
| Marmon Joelle | 2019 Hamburg | 01:44:25 | |
| Norman Sarah | 2024 Sydney | 01:44:00 | |
| Mcgowan Niamh | 2023 World Championships Manchester | 01:43:44 | |
| Beumer Mireille | 2023 Köln | 01:44:30 | |
| Smyth Lorraine | 2023 Dublin | 01:43:51 | |
| Gallegos Ashby Evelyn | 2023 Stuttgart | 01:44:16 | |
| Adams Jess | 2023 London | 01:43:59 | |
| Moreno Bermúdez Eva María | 2022 Madrid | 01:44:23 | |
| Other Results from this athlete | ||
|---|---|---|
| No other results found for this athlete. | ||
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