P\'olya urn model for analysis of football passes
Ken Yamamoto

TL;DR
This paper introduces a Pólya urn-based stochastic model to analyze football pass networks, revealing how preferential selection influences network evolution and correlates with pass accuracy and difficulty.
Contribution
It presents a novel application of the Pólya urn model to football pass networks and proposes a data analysis method for evolving networks.
Findings
The model characterizes network evolution with a single parameter.
The preferential-selection parameter correlates with pass accuracy.
The method applies broadly to various evolving networks.
Abstract
This study analyzes pass networks in football (soccer) using a stochastic model known as the P\'olya urn. By focusing on preferential selection, it theoretically demonstrates that the time evolution of networks can be characterized by a single parameter. Building on this result, a data analysis method is proposed and applied to a large-scale public dataset of professional football matches. The statistical properties of the preferential-selection parameter are examined, demonstrating its correlation with pass accuracy and with mean pass difficulty. This method is applicable to various evolving networks.
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Taxonomy
TopicsSports Analytics and Performance · Complex Network Analysis Techniques · Sports Performance and Training
