Where road racing
meets data.
procycling.tech is a suite of tools for the sport — reading each race, drafting the story, and modelling the likely top ten. Built on machine learning and a newsroom that has covered cycling since 2009.
Data in, story out — and predictions that stay honest about being predictions.
Everything here rests on evidence and on years of covering the sport. The model weighs the odds; the newsroom keeps the judgement.
Five tools, one race-day workflow.
Each tool does one thing well. Together they run from the result sheet to the published story — and the club that ties it together.
CycleFlow
Turns a race result into a drafted report within minutes — reconstructing how the stage unfolded so the newsroom can publish while it's still fresh. Written in your publication's voice, in any language.
CyclePredict
A model that estimates each rider's chance of a top-ten finish, weighing form, terrain and race history. Not a verdict — calibrated probabilities, with the reasoning shown rather than hidden.
TopTen
Pick the stage's top ten and play your call against the model — and against everyone else watching.
procyclingAI
The engine underneath it all, tuned to the sport's own vocabulary and the craft of writing about it — what keeps the output reading like cycling, not like a template.
PCC — ProCyclingClub
The membership layer, where the data, the predictions and the deeper coverage come together for subscribers. The inside line on the sport.
It reads the climb before the riders do.
Every stage is broken down into what actually shapes a result — form, terrain, history and how races tend to play out. CyclePredict turns that into calibrated top-ten probabilities, and shows why each rider is there. A prediction, never a promise.
No more forgettable
cycling sites. Build the race.
procycling.tech brings the data, drafts the story and models the finish — so the newsroom can do what it does best. Built on AI, engineering, and a newsroom that has covered the sport since 2009.