Heat across five editions of an ultracycling race
Finished
Which edition of the Madrid-Barcelona by Pedalma was the hottest, and where on the route does the heat hit? A comparison built from my own GPS files.
Data science, applied maths and modelling for professional cycling.
I help cycling teams, brands, race organisers and sports-tech companies answer their questions with data: how hard a stage is for each rider, whether a product claim holds, why riders abandon a race.
I’m Juanfran Garamendi. I hold a PhD in Computer Science & Mathematical Modelling and have spent 15+ years working in data science and applied mathematics, in academia and industry. I’m also an ultracyclist, and I founded velodata to bring the two together.
Who I work with
Teams
How hard each stage is for each rider, who to line up, and which equipment is really faster.
Brands
Whether a product claim holds, and how to design the test that proves it.
Race and ultra-race organisers
Reports about your race: heat and weather, abandonments and course difficulty.
Sports-tech companies
Data science, machine learning and mathematical modelling projects made to measure.
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