AI Correct Score Predictions
Every fixture below has been run through four models. What you see is the scoreline they settle on and the probability they give it — the probability being the part that matters.
Free, no account needed, updated through the day.
Today's AI correct score predictions
How the AI predicts a correct score
Four models run on every fixture, and they disagree often enough to be worth showing separately on each match page.
- Monte Carlo plays the match many thousands of times from each side's attacking and defensive rates, then counts how often each scoreline came up.
- Poisson derives the probability of every scoreline directly from expected goals for each team.
- Machine learning is trained on completed fixtures and the scores they finished on.
- Hybrid weighs the three together, and is what leads this page.
Team news matters more here than in most markets, so a confirmed absence in attack moves these numbers. That is on each fixture's own page alongside the model output.
What a correct score prediction is worth
The correct score is the hardest common football market. There are dozens of plausible scorelines in any match, and the most likely one usually carries somewhere between 8% and 20%. You can read that off the list above.
So a top pick at 13% is not a weak prediction. It is an honest one, and any site quoting you a far higher hit rate on exact scorelines is measuring something else. Read the probability as the prediction rather than the scoreline on its own.
Frequently asked questions
Are these AI correct score predictions free?
Yes. Every scoreline and probability on this page is free to read, with no account needed. They are regenerated through the day as team news and odds move.
How does the AI predict a correct score?
Four models run on each fixture and are combined. A Monte Carlo simulation plays the match many thousands of times from each side's attacking and defensive rates. A Poisson model derives the probability of each scoreline directly from expected goals. A machine-learning model is trained on completed fixtures and their finishing scores. The hybrid weighs all three. What you see is the scoreline each gives the highest probability, and the probability itself.
How accurate is an AI correct score prediction?
Less accurate than any site claiming otherwise. A correct score is the hardest common football market: there are dozens of plausible scorelines and the favourite one usually sits somewhere between 8% and 20%. You can see that in the numbers on this page — a top pick around 13% is normal and is not a weak prediction, it is an honest one. Treat the probability as the prediction, not the scoreline on its own.
Do you have predictions for tomorrow as well?
Yes. This page covers today; tomorrow and the weekend have their own pages, and every individual fixture has a full page with all four models, the odds and the team news behind them.