Start list predictions

Forecast the field before race day.

Build or paste a HYROX start list and Race Pulse ranks the field by predicted finish time.

Start lists Predicted order Finish times
Live Data Pulse

Fresh forecasts, refreshed daily.

Last pipeline refresh 02 Jun 2026, 13:33
6.7k
athletes matched in the last 24 hours
2 prediction runs completed
0
import rows processed in the last 24 hours
0 source files processed
4.8k
start-list predictions available now
15k active start-list entries tracked
1.8M
historical race results indexed
0 results touched in 24 hours
How it works

Built for this field, on this day.

Race Pulse does not rank athletes by reputation or best-ever result. It scopes the prediction to the race context, weighs relevant history, and surfaces uncertainty when the data is thin.

Read the method

Race context first

Division, gender, and age group keep comparisons fair.

History with recency

Recent comparable results carry more weight than old performances.

Predicted order and time

The output is ranked by expected overall race time.

Honest confidence

Weak, dated, or inconsistent data reduces confidence instead of pretending.

What you can do

Predict the race your way.

Use the latest start list, your claimed race history, or a custom field of athletes you care about.

Latest start list forecasts

See predicted results in real time using the latest published start list.

Claim-aware predictions

Claim races you have already run and see your predictions inside the current start-list context.

Custom athlete fields

Build your own start list and see how you would perform against fellow athletes.

Different by design

Not another results archive.

Other tools help explain what already happened. Race Pulse is built for the moment before the race, when the start list drops and everyone wants to know how the field stacks up.

Race-day useful

Built around actual start lists and upcoming fields.

Readable output

Ranks, times, and context without burying the answer.

Context aware

Uses division, category, age group, history, and recency.

Honest limits

When data is weaker, the product shows model notes instead of pretending.

Ready when the start list drops

Start with the field. Finish with a forecast.

Start a Prediction