“The Thin Edge of the Wedge”: Accurately Predicting Shot Outcomes in Tennis using Style and Context Priors

Download the
Full Paper Here
Authors

Xinyu Wei

Patrick Lucey

Stuart Morgan

Machar Reid

Sridha Sridharan

Abstract

Abstract: The aim of this paper is to discover patterns of player movement and ball striking (short-and long- term shots, and shot combinations) in tennis using HawkEye data which are indicative of changing the probability of winning a point. This is a challenging task because: i) behavior can be unpredictable, ii) the environment is dynamic and the output state-space is large and iii) examples of specific interactions between agents may be limited or non-existent (player A may not have interacted with player B). However, by using a dictionary of discriminative patterns of player behavior, we can form a representation of a player’s style, which is interpretable latent factors that allows us to personalize interactions between players based on the match context (opponent, match- score). This approach allows us to perform superior point predictions, and to understand how points are won by systematically creating and exploiting spatiotemporal dominance.

Join Us

Immerse yourself in 2 days of sports analytics, business, and technology

Buy Now