Professional cycling has seen an explosion of statistical content in recent years. We can follow the top professionals on Strava, track GPS data in the most important races, and find what riders have the best historical times on climbs like Alpe d’Huez or Mortirolo.
As a professional working in the sports analytics space, what I see missing is careful analytical work to provide context to all of that data. The data revolution has already impacted other professional sports like baseball, basketball, and tennis – engaging the public with smarter conversations and more predictive content. This site is designed to fill that niche.
I post code at GitHub