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HYROX time predictor

Estimate HYROX finish time from your average 1km run split, station times, and transitions. Useful for planning pacing and training blocks.

Last updated/Mar 20, 2026, 02:10 PM
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Tool

Inputs → outputs

This page is intentionally practical: get numbers first, then read the how-to.

Inputs

  • Average 1 km run split (mm:ss)
  • Average station time (mm:ss)
  • Transition time (sec) (optional)

Outputs

  • Finish time estimate
  • Runs total
  • Stations total

Export

Print or share the tool

Useful outputs beat generic SEO copy. Print a PDF or share this page before race week.

Tip: print or save as PDF for race week.

Example presets

Prefill with a realistic scenario

Pick an example to prefill the calculator, then tweak inputs for your own training week.

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Quick answers

The 60-second version

Snippet-ready answers to common questions. Use the calculator above for the numbers.

What should I optimize first?
Consistency on the run segments and one station weak point. Small station improvements compound across 8 stations.
How should I pace the first half?
Conservatively. The first 2–3 stations should feel controlled so you can execute late under fatigue.
Why do predictions miss?
Stations degrade under fatigue and transitions expand with crowding. Use the estimate as a planning baseline, not a promise.

Assumptions

What this tool assumes

  • Your average station time is a realistic in-race number (fatigue increases station variance).
  • Transitions are consistent (crowding can change this dramatically).

Limitations

What can break it

  • Does not model station-specific weak points (sled push/pull often dominates outcomes).
  • Race flow (heat size, venue layout) can add unexpected transition time.

Related

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FAQs

What should I optimize first?

Consistency on the run segments and one station weak point. Small station improvements compound across 8 stations.

How should I pace the first half?

Conservatively. The first 2–3 stations should feel controlled so you can execute late under fatigue.

Why do predictions miss?

Stations degrade under fatigue and transitions expand with crowding. Use the estimate as a planning baseline, not a promise.

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