AI Football Predictions
Data-driven football tips from a machine-learning ensemble, with a published, verifiable track record. No inflated win rates, no hidden losses. Every settled pick is on the record, win or lose.
Most prediction sites promise the moon and quietly delete the misses. We do the opposite. Our model makes a call, we publish it before kickoff, and the result stands whatever happens. This page explains exactly how the predictions are made and what they have actually returned.
Live track record
Settled tips, wins, losses and win rate are our daily single picks. ROI is measured on our daily 3-leg accumulator, the same figure shown on our homepage, since that is the bet our picks are built into. Read live from the same source, losing bets included, because a track record without them is just marketing. When we lose a run, these numbers drop, and we leave them visible.
How our AI predicts football matches
There is no single magic model. We run an ensemble: several independent statistical models each produce a probability, and we weight them into one final call. Combining models that fail in different ways is more reliable than betting everything on one clever algorithm.
Dixon-Coles and Poisson goal models
Football scores follow patterns that goal-based models capture well. A Poisson model estimates how many goals each side is likely to score from their attack and defence strength. The Dixon-Coles refinement corrects the known weakness in low-scoring matches (the 0-0, 1-0, 1-1 cluster) and adjusts for recent form. On our settled data, Dixon-Coles is consistently our best-calibrated model, meaning its stated probabilities line up closely with real outcomes.
Machine-learning classifiers
Alongside the goal models we run gradient-boosted machine-learning classifiers trained on tens of thousands of historical matches. The important detail, and where we differ from sites quoting suspiciously high accuracy, is how we test them.
A model tested on a random split of past data can look brilliant and still be useless live, because it has effectively peeked at the future. We validate chronologically: train on the past, predict the genuine unknown next. That honest test produces lower headline accuracy than the inflated random-split number, and it is the only number that means anything once real money is on the line.
Value, not just predictions
Picking the likely winner is not the same as making money. The bookmaker’s odds already contain a probability. We only flag a bet when our model’s probability is meaningfully higher than the odds imply: that gap is the value, and value is what produces a positive return over time. A favourite at short odds with no edge gets skipped. Learn how value betting works here.
How accurate are AI football predictions, really?
Honestly: useful, not magic. No model predicts football with anything close to certainty, and anyone claiming 90%-plus accuracy is either measuring it wrong or lying. Football has too much randomness for that. A genuinely good model wins consistently more than its odds require, which is a smaller edge than people expect but compounds over hundreds of bets.
The single figure people quote most about prediction accuracy is also the most misleading. A high win rate means little without the ROI behind it. Always ask whether the losing bets are shown too.
Our own honest, chronologically-tested accuracy and our live ROI are both shown on this page rather than buried. For the full methodology behind those figures, read our deep dive: How accurate are AI football predictions? You can also browse our results and track record in full.
What you get
Coverage across the major European competitions, including the Premier League, La Liga, Bundesliga and Serie A.
Every settled pick, with the running ROI you see above.
Why honest beats inflated claims
An advertised “95% win rate” is meaningless if you cannot see the losing bets behind it. The whole point of a track record is that it includes the bad days.
Publish every pick before kickoff, settle it honestly, and leave the running ROI visible whether it is up or down.
Cherry-picked winning weeks, vague accuracy percentages with nothing behind them, and quietly deleted losing tips.
We publish ours because a tip is only worth following if the person giving it is accountable for being wrong. That accountability is the product. The ML ensemble is how we try to be right more often than not; the published record is how you can check whether we are.
Frequently asked questions
Can AI actually predict football matches?
It can predict probabilities, not certainties. A good model identifies when the bookmaker’s odds underrate a likely outcome. Over a single match that edge is invisible; over hundreds of bets it shows up as a positive return, which is what our live ROI tracks.
What makes your predictions different?
Two things: an ensemble of statistical and machine-learning models rather than one algorithm, and a fully published track record including losses. Most sites show you only their wins.
Are the tips free?
Yes. The daily tips and predictions on the site are free to read.
How often are predictions updated?
New tips are generated and published every day, ahead of that day’s fixtures.
See today’s value picks
Free, published before kickoff, added to the public record either way.