Field notes · AF features · 1 min read

The radar, explained
Eight stations plus your running, drawn as one shape against the field, showing where your race is strong, where it leaks time, and what shape you're becoming.
Edited by Laura Rossi
Hyrox athlete, Toronto · Aug 25, 2026
Two athletes finish in 1:12. Identical result, completely different races: one lost four minutes on the sleds and flew the runs; the other ran conservatively and cleared every station like a warm-up. A finish time can't tell them apart. The radar can.
Your radar draws run pace plus all eight stations as one shape, measured against your division's benchmarks. You read it in two seconds: spikes are what carried you, dents are what your next block of training is for.
How it works
→ Drawn from your result's official splits. The shape is what actually happened, not how the race felt.
→ Each axis is normalized against the field for your division, so "good" means good among the people you race.
→ It names your strongest and weakest station outright. No chart-reading degree required.
→ Every shape tends toward one of the eight archetypes. Most people recognize themselves, and their doubles partner, immediately.
The honest part
One race is one sample. A radar from your single worst day looks like your worst day. It sharpens with every result you add, and race to race, the change in shape is your training story.
See your shape. It's already drawn if your result is in.
Quick answers
- What does the AthleteField radar show?
- Your race as a shape, run pace plus all eight stations, each measured against benchmarks for your division. Spikes are strengths, dents are where your finish time leaks.
- Where does the radar data come from?
- From your race result's official splits. No estimates and no self-assessment. The shape is what you actually did on race day.
- What are the Hyrox archetypes?
- Recognizable shapes the radar keeps producing, like the runner who meets the sled or the lifter staring down 8 km. Every athlete's radar tends toward one of eight patterns.
More field notes
All field notes →AthleteField
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