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Space and Control in Soccer.

Florian Martens1, Uwe Dick1, Ulf Brefeld1

  • 1Machine Learning Group, Leuphana University of Lüneburg, Lüneburg, Germany.

Frontiers in Sports and Active Living
|August 2, 2021
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Summary
This summary is machine-generated.

Controlling space on the soccer pitch is key for team success. This study introduces data-driven measures for player influence and space generation, enhancing game analysis strategies.

Keywords:
motion modelmovement modelpitch controlsoccer (football)soccer analytics

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Area of Science:

  • Sports Science
  • Data Analytics
  • Soccer Performance Analysis

Background:

  • Team sports success hinges on controlling and generating space in critical areas.
  • Soccer, in particular, requires sophisticated spatial awareness and control.
  • Existing metrics like pitch control (PC) offer insights but can be expanded.

Purpose of the Study:

  • To develop novel, data-driven quantities for measuring player influence and space generation in soccer.
  • To extend the concepts of pitch control and pitch value using player movement data.
  • To provide tools for visualizing team and player strategies for enhanced game analysis.

Main Methods:

  • Revisiting and adapting existing space-related concepts from Fernandez and Bornn (2018).
  • Quantifying player influence by linking it to player movements on the pitch.
  • Developing a new metric for space generation to visualize tactical approaches.
  • Empirical validation of the proposed metrics within game analyses.

Main Results:

  • Successfully translated theoretical space concepts into quantifiable, data-driven metrics.
  • Demonstrated the ability to measure individual player influence based on their movement patterns.
  • Introduced a novel space generation measure for visualizing team and player strategies.
  • Provided empirical evidence supporting the utility of these new metrics in soccer analytics.

Conclusions:

  • The developed data-driven quantities offer valuable insights into player influence and spatial strategies in soccer.
  • These metrics enhance the analytical capabilities for understanding team and player performance.
  • The approach provides a foundation for more sophisticated tactical analysis and strategy visualization in sports.