Cycling riders today heavily depend on data, influencing their training and racing strategies, including sharing their performance metrics on platforms like Strava. In a pivotal mountain stage of the Tour de France, Pogačar recorded about 7 watts per kilo for nearly 40 minutes, leading to a decisive win. The current generation of cyclists is performing more efficiently than during the doping era, driven by analytics. The straightforward nature of endurance sports makes them particularly suitable for data analysis, with clear relationships between performance metrics and outcomes.
Riders now train, race, and publish their data on platforms like Strava, with insights heavily influencing performance metrics and strategies in cycling.
During a crucial mountain stage in last year's Tour de France, Pogačar produced around 7 watts per kilo for nearly 40 minutes, achieving a convincing victory.
Winning cyclists are now riding faster and more efficiently, with a statistical approach helping them outperform cyclists from the peak doping era.
Data helps optimize performance in sports through clear response variables, making cycling and endurance sports particularly suited for analytical insights.
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