A logistic regression model trained on five seasons of FC Barcelona match data. Set the matchup conditions and the model returns win, draw, and loss probabilities along with an expected goals estimate.
Adjust the inputs below. The model recalculates instantly using the same feature weights learned during training.
Five seasons of results cleaned and structured for analysis. A few patterns stood out before any modeling began.
A multinomial logistic regression predicts the probability of each outcome from six features. Weights below are scaled for readability and show each feature's relative pull toward a Barcelona win.