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Individual Metrics to Characterize the Players

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Computational Metrics for Soccer Analysis

Abstract

The purpose of this chapter is to present the individual measures that can be computed in the uPATO software. Each measure will be presented with a definition and case-studies to discuss the data and how results can be interpreted. Time-motion profile (including distances at different speeds), Shannon Entropy, Longitudinal and Lateral Displacements to the goal and variability, Kolmogorov Entropy and Spatial Exploration Index will be presented and discussed in this chapter. The case studies presented involve two five-player teams in an SSG considering only the space of half pitch (68 m goal-to-goal and 52 m side-to-side) and another eleven-player team in a match considering the space of the entire field (106.744 m goal-to-goal and 66.611 m side-to-side) even though only playing in half pitch.

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Correspondence to Filipe Manuel Clemente .

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Clemente, F.M., Sequeiros, J.B., Correia, A.F.P.P., Silva, F.G.M., Martins, F.M.L. (2018). Individual Metrics to Characterize the Players. In: Computational Metrics for Soccer Analysis. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-59029-5_3

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  • DOI: https://doi.org/10.1007/978-3-319-59029-5_3

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