HOW IT WORKS

Data Driven Sports turns match information into probability estimates using statistical models — not tips, hunches, or guarantees. Here's exactly what happens, and what the numbers do (and don't) mean.

01You enter the matchPick a sport and type in the details — teams, players, drivers, or the live chase situation. No account data or personal info needed.

02A statistical model runsYour inputs are fed into a sport-specific probability model — the same kind of maths used in professional sports analytics, not opinions or gut feeling.

03You get clear probabilitiesThe result is a simple percentage breakdown (e.g. Home 62% / Draw 24% / Away 14%) so you can see how the model reads the matchup.

The models behind it

⚽ Football

A Poisson-based scoring model with a Dixon-Coles correction — a well-established method that adjusts for low-scoring games and draw frequency to estimate win/draw/loss probabilities.

🏏 Cricket

A chasing win-probability model that reads the live match state — target score, overs remaining, wickets lost, and run rate — to estimate the batting side's chance of reaching the target.

🏎️ Formula 1, 🎾 Tennis, 🥊 Boxing, 🏇 Horse Racing

Each uses its own statistical metrics tailored to the sport — form, ratings, and matchup factors — to produce a probability-based read on the outcome.

What the numbers mean — and what they don't

✓ A percentage is a probability estimate— the model's read on how likely an outcome is, based on the data you gave it.
✕ It is not a prediction of what will happen. A 70% favourite still loses roughly 3 times in 10. Upsets are normal.
✕ It is not betting or financial advice, and not a guarantee of any result. What you do with the information is your own decision.

Credits

Each prediction you run uses one credit. Free accounts start with 10 credits; paid plans include 50 fresh credits every month. See the pricing page for the full breakdown.

Ready to try it? Your first predictions are free.

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