48h PRO Trial — free, no credit card.
Glicko Tennis Betting Analytics — VOPO Score vs Pinnacle Odds for ATP & WTA
Calculate.Find value.Pick.
Our model guesses the winner right 72.8% of the time, then flags every ATP, WTA, ITF and Challenger match where the sharpest market prices it differently.
Start Free Trial
No credit card required
Model accuracy: 72.8%. Brier Score: 0.178. Data coverage: ATP, WTA, ITF, Challenger. Matches in Calibration: ~440k.
Why does Tennis Glicko work?
We have identified differences between the model probabilities and the market probabilities. This is the edge. 440k matches calibrated it. Act on it or ignore it.
Learn more
Clay form does not carry to grass. So we keep a separate rating per surface. A player can be a 7 on clay and a 3 on hard, and we treat them that way.
Years of historical match data. Ratings update after every result. The model re-prices each upcoming match as new data arrives.
Glicko-2 tracks classification uncertainty; players with few records receive wider confidence intervals, not false accuracy.
Find value. Not just favorites.
How the model works
Dynamic Rating
Continuously measures a player's true competitive strength. Ratings update after every match, weighting opponent quality and match context to update.
Ex: Alcaraz defeating Djoko moves the rating more than beating a Top-200 player
The Volatility
We spot the players who beat a Top 10 one day and lose to a qualifier the next. The market keeps pricing them wrong. You don't have to.
Ex: Bublik beating a Top-10, then losing to a qualifier player = high volatility detected
Rating Deviation
Quantifies how trustworthy the rating really is. Players returning from injury or long breaks carry higher uncertainty, forcing the model to reduce confidence automatically and instantly.
Ex: Nadal returning after 3 months because of a injury = cautious probability
Fair Probability
Converts rating, uncertainty and volatility into a true win probability. Directly compares model output with market odds to highlight long-term positive expected value.
Ex: Model gives Medvedev 64% vs market implied 56% = value opportunity
Rankings, Matches, Dashboard and much more features...
Rankings
Men and women from around the world, showcasing their skills on every surface.
“I built this for myself. Two years calibrating against 440k matches. We flag where market is wrong. I can't act on every signal every day, find the gold. I sell the shovel instead.”
Start Free Trial
No credit card required