Station Profile Methodology
How we calculate strengths and weaknesses on athlete profile pages.
The idea
Comparing an athlete's splits against everyone in a division isn't very useful — a fast athlete would appear strong at everything, and a slower athlete weak at everything. The Station Profile solves this by comparing against a cohort of athletes with similar finish times.
This answers the more interesting question: “Among people at my level, where do I gain or lose time?”
How it works
- Pick a division. If the athlete has raced in multiple divisions, you can switch between them using the dropdown. Each division is analyzed separately.
- Find the Personal Best. We take the athlete's fastest finish time (PB) in the selected division and gender.
- Build the cohort. We select all results across all events in the same division and gender with a finish time within ±10% of the PB. This creates a peer group of athletes performing at a similar overall level. If fewer than 30 results fall in this band, we widen it to ±15%.
- Compare station splits. For each of the 9 stations (8 workouts + running total), we compute the cohort's average split time and compare it to the athlete's own average split time across their races.
- Score. The percentage difference is calculated as:
(cohort avg − athlete avg) ⁄ cohort avg × 100. A positive value means the athlete is faster than their peers at that station (a strength); negative means slower (a weakness).
Reading the chart
- Larger area = the station is a relative strength compared to peers.
- Smaller area = the station is a relative weakness.
- Green labels mark the strongest station; red labels mark the weakest.
- Hover over any point to see the exact split times and percentage difference.
Example
An athlete with a 1:10:00 PB in HYROX PRO Men would be compared against all PRO Men results between 1:03:00 and 1:17:00. If the cohort averages 5:30 on SkiErg and the athlete averages 5:05, their SkiErg shows as +7.6% — a clear strength. If they average 6:15 on Sled Pull while the cohort averages 5:45, that shows as −8.7% — a station to work on.
Limitations
- Cohort averages include results from different events and conditions (elevation, weather, course layout). Station times can vary between venues.
- Athletes with only one race have a single data point — the profile becomes more reliable with more races.
- The ±10% band is a balance between having enough peers for statistical significance and keeping the cohort relevant. Very fast or very slow athletes may have smaller cohorts.