The Problem

Brooklyn dynamics sports, (BDS), was contracted to provide specialist assistance in AI, machine learning and predictive analysis for aspects of the Tour de France. Our goal was to bring machine learning and predictive analytics to the Tour de France by using data to predict future outcomes and create conversation.

The Process

We combined telemetry data, race results, rider data, course information and conditions data to predict race outcomes. The TDF provided access to more data, technology and expertise than has ever been available before.

The Results

Each of the Predictors achieved “Prediction Accuracies” of approximately 85%.This is an extremely strong result, given that it was the first year of modeling.