Frequently asked questions

A football analytics platform. Our model, Pythia, learns each team's point-in-time form and runs a Monte Carlo simulation to turn it into calibrated probabilities for match results, goals, corners, cards and fouls across Europe's leagues.

No. Every output is a probability, never a certainty. Football is unpredictable - the model only estimates how likely each outcome is from the data. Treat everything here as information and entertainment.

No. PythiaFootball provides statistical analysis and predictions for informational and entertainment purposes only. Nothing here is financial advice or a recommendation to stake money.

It builds a point-in-time picture of each team's attacking and defensive form (including expected goals where available), simulates the match many times, and reads off calibrated probabilities. We validate it walk-forward against historical results - see the Validation page.

Edge is the gap between our model's probability and the probability implied by the average market odds. A positive edge means the model rates the outcome more likely than the odds imply - a purely analytical comparison.

Hit rate is how often the model's pick matched the actual result. ROI is the theoretical return on a flat, level stake at the odds shown, graded against real results - published only to show the model's track record transparently.

We publish the model's historical accuracy and ROI on the Validation page, graded openly against actual results - including where it performs well and where it doesn't.

Yes - the core analytics, predictions and match pages are free to use.

Historical match results, team form and expected-goals data where available, and average market odds for context and calibration.

Football fans, analysts and anyone who enjoys data-driven insight into matches. The site is intended for adults (18+) and is for entertainment, not a guarantee of any outcome.