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Theory and data analysis of player and team ball possession time in football
Ken Yamamoto1, Seiya Uezu2, Keiichiro Kagawa3
1Faculty of Science, University of the Ryukyus, Nishihara, Okinawa 903-0213, Japan.
Abstract:
In this study, the stochastic properties of player and team ball possession times in professional football matches are examined. Data analysis shows that player possession time follows a gamma distribution and the player count of a team possession event follows a mixture of two geometric distributions. We propose a formula for expressing team possession time in terms of player possession time and player count in a team's possession, verifying its validity through data analysis. Furthermore, we calculate an approximate form of the distribution of team possession time and study its asymptotic property.
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