A new metric for pitch control based on an intuitive motion model

Lucas Wu and Tim B. Swartz
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Lucas Wu: Simon Fraser University
Tim B. Swartz: Simon Fraser University

Computational Statistics, 2025, vol. 40, issue 4, No 3, 1713-1730

Abstract: Abstract With the availability of tracking data, the determination of pitch control (field ownership) is an increasingly important topic in sports analytics. This paper reviews various approaches for the determination of pitch control and introduces a new field ownership metric that takes into account associated sporting dynamics. The methods that are proposed utilize the movement of the ball and players. Specifically, physical characteristics such as current velocity, acceleration and maximum velocity are considered. The determination of pitch control is based on the time that it takes the ball and the players to reach a given location. The main result of our investigation concerns the validation of the resultant pitch control diagram. Based on a sample of 5887 passes, the team identified as having pitch control was the observed recipient of the pass with 91% accuracy. The approach is generally applicable to invasion sports and is illustrated in the context of soccer. Various parameters are introduced that allow a user to modify the methods to alternative sports and to introduce player-specific maximum velocities and player-specific accelerations.

Keywords: Spatio-temporal modelling; Tracking data; Sports analytics; Pitch control model (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s00180-024-01512-2

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