We predict
who will win the race

WITH THE HELP OF MACHINE LEARNING AND DATA WE PREDICT THE WINNERS

We’re passionate about cycling and we’re passionate about artificial intelligence. We built a machine learning model to predict who will win the race. We do this purely based on objective data such as historical race results and the rider profiles.

Our machine learning algorithm looks at the different patterns in the data and predicts the full race results. We update our predictions weekly, as new cycling results are coming in.

PAST DATA

  • We take into consideration the past 20 years of cycling data.

RACE MODEL

  • Based on the data, we built a machine learning model that estimates who has the highest chance of winning.

Race Prediction

  • We take into consideration the rider’s track record, his current performance and how he matches with that particular race.
Id Lab

Fundamental and applied research and data science

IDLab performs fundamental and applied research on internet technologies and data science. We focus on wireless networking and distributed intelligence. Within sports, our sports data science team builds Artificial Intelligence solutions for better athlete performance. From monitoring your athlete performance, predicting how he/she will perform and suggesting how he/she can improve. For this, we let the data speak. Interested? Get in touch with us.

The team

Leonid Kholkine

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Steven Latré

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Tim Verdonck

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Tom de Schepper

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Arie-Willem de Leeuw

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Thomas Servotte

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