Snelling Road Race • Feb 22 2020 • Snelling, CA — Photo by Katie Miu

Predicting winners in cycling races with Machine Learning

With 95% accuracy, we can use performance data to predict which athletes will be on the podium

A little bit of context

First version — Race Field Analysis

Race Field Analysis — Analysis and prediction screen of The Tour of St. Louis race
Women Cat 3 Podium • Snelling Road Race



Image credit: Zwift

Second version — ZRace

ZRace — analysis and prediction screen of 3R Figure 8 Hilly race

Under the hood — Statistical models

The predictive model iterations were:


Random Forest Feature Importance
ZRace — Result vs Prediction


Entrepreneur, Product Manager, and Engineering Leader. Enthusiast of Data-Driven Products and Data Science. From Brazil to Silicon Valley