Modeling Performance in Professional Golfers’Association of America Tournaments

Abstract

This study models the performance of professional golfers on the Professional Golfers’ Association (PGA) Tour using hierarchical models. Continuous outcome variable, such as score relative to par, is analyzed with hierarchical regression model for normally distributed responses, while binary outcome, such as finishing at or under par versus over par, is modeled using a logistic hierarchical model. This approach captures both individual player effects and tournament-level variability, providing insights into factors influencing success on the professional golf circuit.