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Coordination analysis of players' distribution in football using cross-correlation and vector coding techniques
Felipe Arruda Moura1, Richard E A van Emmerik2, Juliana Exel Santana3
1a Laboratory of Applied Biomechanics, Sport Sciences Department , State University of Londrina , Londrina , Brazil.
Journal of Sports Sciences
|April 16, 2016
Summary
Football teams coordinate their positions during matches. Opposing teams tend to mirror each other
Area of Science:
- Sports Science
- Biomechanics
- Data Analysis in Sports
Background:
- Understanding team dynamics is crucial in football.
- Player movement and team spread significantly influence match outcomes.
- Quantifying coordination between opposing teams is complex.
Purpose of the Study:
- To investigate team coordination during football matches.
- To analyze the spatial organization of opposing teams.
- To identify coordination patterns during offensive and defensive sequences.
Main Methods:
- Utilized a video-based tracking system for player trajectories.
- Applied cross-correlation analysis to quantify general team coordination.
- Employed vector coding to identify specific coordination patterns during critical game phases.
Main Results:
- Opponent teams exhibit in-phase coordination with a slight time lag.
- Offensive sequences show a dominance of in-phase coordination, but other patterns exist.
- Attacking sequences leading to shots on goal display more anti-phase and attacking team dominance early on compared to tackles.
Conclusions:
- Attacking teams may intentionally adopt contrasting spatial strategies to increase scoring opportunities.
- Coordination patterns provide insights into tactical decision-making in football.
- Advanced analytical techniques can reveal hidden dynamics of player and team interactions.
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