Set the model inputs

400m model range: 43–80s. Enter seconds, for example 60.00. Examples load their goal and the Realistic preset.

Modeled checkpoints

Illustrative 400m in 60.00s · Realistic preset.

First 200m clock
28.20 s
Second 200m duration
31.80 s

These are heuristic targets, not observed splits or a performance prediction.

400m · 60.00s goal · Realistic preset
Distance (m)Segment (s)Elapsed (s)Mean speed (m/s)
100mSegment (s)13.800Elapsed (s)13.80Mean speed (m/s)7.25
200mSegment (s)14.400Elapsed (s)28.20Mean speed (m/s)6.94
300mSegment (s)15.600Elapsed (s)43.80Mean speed (m/s)6.41
400m · FinishSegment (s)16.200Elapsed (s)60.00Mean speed (m/s)6.17

Overall speed: 6.67 m/s. Segment mean range: 6.17–7.25 m/s. A segment mean is not an instantaneous peak speed.

Elapsed clocks round to hundredths, moving segments to thousandths and speeds to hundredths. Calculations retain the canonical model precision; rounded rows may not sum exactly.

Model assumptions

The existing presets are simple shapes, not athlete-specific or validated optimal pacing prescriptions. Strategy names do not guarantee equal segment times: the Even preset retains a slight fade for 400m and a curve adjustment for 200m.

400m weights: Realistic 23/24/26/27%; Even 24/25/25.5/25.5%; Negative 26.5/25.5/24.5/23.5%. The Negative preset has a faster second half. Reversing the existing weights corrects its name; it does not establish an optimal strategy.

Actual starts, wind, lane draw, fatigue and individual technique can change observed splits. Compare with measured training data before using these targets.

Existing phase reference

  • 0–100m · First 100
  • 100–200m · Float (100-200)
  • 200–300m · Maintain (200-300)
  • 300–400m · Finish (300-400)