SPRINT ML

Sprint Weakness Profiler & Progression Model

Cohort Presets:
Athlete Profile & Times Collegiate Cohort
*Leave any PB empty and the built-in k-NN regression engine infers the unknown event.
What-If Biomechanical Tuning Sensitivity
0.0 kg
0.00s
100%
Kinematic Velocity-Distance Curve v(d) Mono-Exponential v(t) Fit
Max Velocity (v_max)
10.92 m/s
Fly 30: 2.98s
Tau Acceleration (τ)
0.84s
High Drive Capacity
Predicted 200m PB
22.18s
[90% CI: 21.95 - 22.42s]
Next Year 100m Proj.
10.74s
-0.14s progression
Fitted Sprint Velocity v(d)
Drive Acceleration (0-30m)
Max-V Plateau (30-60m)
Speed Maintenance / Decel (60-100m)
⚠️ Bottleneck: Speed Endurance / Late Deceleration (-0.82 m/s drop over last 30m)
Strong acceleration mechanics and high peak velocity ceiling, but significant velocity attenuation past 65 meters indicating lactic glycolysis insufficiency.
Optimal Training Emphasis: Lactic tolerance tempo & 120-150m speed maintenance runs with full neural recovery (6-8 min intervals).
Sprint Splits & Pillar Diagnostics Split Breakdown
Phase Split Cumulative Status
Reaction + 10m1.82s1.82sElite
10m - 30m2.14s3.96sOptimal
30m - 60m (Max V)2.82s6.78sStrong
60m - 100m (Endurance)4.10s10.88sLagging
Multi-Year Age Progression Curve Age 15 - 35
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