Pick a stage
The route profile sets the race logic: punch, climbs, time trial, or team collective strength.
Interactive Tour de France tool
Tour de France 2026 Winner Predictor
Choose a Tour de France stage, challenge the model with your rider pick, compare contenders head-to-head, or test how well a team matches the stage profile.
Read the full predictor guide Show less
This interactive Tour de France winner predictor is built for fans who want to explore race scenarios instead of reading a static list of favourites. Select a stage and the tool compares rider strengths, team support, and route characteristics to display the most suitable contenders for that profile.
You can use the stage predictor to scan likely winners, test a personal rider pick, compare two riders on the same route, or evaluate which team looks best matched to the terrain. The app is designed to support Tour de France prediction searches, stage-by-stage analysis, and fast interactive comparisons while keeping the scoring engine server-side.
The current release uses a pilot dataset that will be expanded over time. Its purpose is to create a playful, explainable Tour de France prediction experience that can grow with richer rider, team, and stage information.
Prediction lab
Choose your challenge
The same server-side model powers all four modes below. Pick a stage, launch the scan, and watch the results arrive.
Loading predictor options…
Poster break
Cycling posters while you predict
A compact rotating selection of cycling posters to explore between predictions.
Bordeaux Vintage Tour Poster: How Local Heritage, Archive Aesthetics and…View poster 
Pau Vintage Bike Race Poster: How Local Heritage Shapes a Tour de France MemoryView poster 
Classic Tour de France Posters: Carcassonne, Memory and the Art of Heritage…View poster 
Mont Ventoux: A Single Race Instant as Cinematic Tour de France PosterView poster 
Tour de France poster: Nice, vintage memory and the deeper value of heritage…View poster 
Annecy Vintage Tour de France Cycling Art Print — Alpine Light, Heritage…View poster
🏁
The podium is waiting.
Launch a stage prediction to reveal the top riders, top teams, and the profile favoured by the model.
🎯
Put your intuition against the model.
Select a rider to see whether the predictor sees an elite contender, an outsider, or a risky pick.
⚔️
Build your dream duel.
Compare two riders on the same stage and reveal which one holds the model advantage.
🧩
See the team fit.
Choose a stage and a squad to uncover its model ranking, strengths, and best suited rider.
From the collection
Tour de France and cycling posters to explore next
A small rotating poster strip selected automatically at build time.
Madeleine Poster: How a Col de la Madeleine Image Elevates the Bicycle as an…View poster Bordeaux Vintage Tour Poster: How Local Heritage, Archive Aesthetics and…View poster Annecy Vintage Tour de France Cycling Art Print — Alpine Light, Heritage…View poster 
Retro Tour de France Posters: The Col d’Aubisque as an Epic Ascent in PrintView poster 
Tour de France Watercolor: Col de la Madeleine as a Fragment of Graphic HistoryView poster 
Chambéry in Print: How a Vintage Tour Poster Becomes Living HeritageView posterHow it works
A playful predictor, backed by structured race profiles
The app combines stage type, rider traits, and team support scores through a model hosted in a Cloudflare Worker. The visible page stays light; the prediction engine itself remains server-side.
This first release is intentionally a pilot. It gives us the full interaction system now, then the dataset can grow toward the complete Tour start list and all 21 stages.
Run the model
The Worker calculates scores securely and returns only the result payload needed by the page.
Read the verdict
Animated score bars, rankings, and reason snippets make the result easy to scan and share.