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Measuring the Tactical Behavior

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Computational Metrics for Soccer Analysis

Abstract

Tactical information can be determinant to use position data and measures in the aim of match analysis. By using information about collective behavior and tactics it is possible to re-organize tasks or even make decisions during matches. These measures are not limited to the space (as centroid or team’s dispersion) but can also provide information on how teammates interact in the specificity of game and in line with tactical principles. Definitions, graphical visualization, interpretation and case-studies will be presented on this chapter for the following measures: Inter-player Context, Teams’ Separateness, Directional Correlation Delay, Intra-team Coordination Tendencies, Sectorial Lines, Inter-axes of the team, Dominant Region, Major Ranges and Identification of Team’s Formations. 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). Measuring the Tactical Behavior. In: Computational Metrics for Soccer Analysis. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-59029-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-59029-5_6

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