We propose a logistic regression model to predict the win probability in a tennis match. The variables included in the model are ATP points and rankings, the players' ages, the home factor and the inf
Probability predictions are essential to inform decision making across many fields. Ideally, probability predictions are (i) well calibrated, (ii) accurate, and (iii) bold, that is, spread out enough
Incorporating fuzzy logic-based models into sports prediction has generated significant interest due to the intricate nature of athletic events and the many factors influencing their outcomes. This st
