A Stochastic Analysis of some Two-Person Sports
Davy Paindaveine, Yvik Swan

TL;DR
This paper analyzes the impact of switching from side-out to rally-point scoring in two-person sports, providing detailed rally-level distributions and revealing surprising effects beyond simple win probabilities.
Contribution
It introduces a rally-level analytical approach to compare scoring systems, offering detailed distributions and insights that surpass previous probabilistic predictions.
Findings
Rally-point scoring significantly alters game dynamics.
The transition effects are more profound than expected from win probabilities.
Results enable better estimation of rally-winning probabilities for rankings.
Abstract
We consider two-person sports where each rally is initiated by a \emph{server}, the other player (the \emph{receiver}) becoming the server when he/she wins a rally. Historically, these sports used a scoring based on the \emph{side-out scoring system}, in which points are only scored by the server. Recently, however, some federations have switched to the \emph{rally-point scoring system} in which a point is scored on every rally. As various authors before us, we study how much this change affects the game. Our approach is based on a \emph{rally-level analysis} of the process through which, besides the well-known probability distribution of the scores, we also obtain the distribution of the number of rallies. This yields a comprehensive knowledge of the process at hand, and allows for an in-depth comparison of both scoring systems. In particular, our results {help} to explain why the…
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Taxonomy
TopicsSports Analytics and Performance · Game Theory and Voting Systems · Experimental Behavioral Economics Studies
