Executive Summary
A developer implemented two established race time prediction models—Riegel's power law and Daniels and Gilbert's VDOT physiology model—in JavaScript for a running app. These models predict race finish times at various distances based on prior race results. The implementation allows users to see predictions from both models and the spread between them, providing insight into prediction reliability, especially for longer distances like marathons where predictions tend to be less accurate.
ResultThe two models generally agree within 1-2% for nearby distances, providing reliable predictions. For marathons, predictions tend to be 4-5% faster than actual times for...
Implementation ComplexityMedium effort
Best forSports & Fitness / Running / App developer / Data scientist / Riegel's power law model and Daniels and Gilbert's VDOT model