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The Perception & Action Podcast

496 – Player Dynamics as a Measure of Skill

Jun 11, 2024
17:16
Snipd AI
Exploring how player dynamics in soccer can be a measure of skill using attractors and repellors. Predicting player movements, assessing skill levels, and forecasting player strategies through a dynamical systems model.
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Podcast summary created with Snipd AI

Quick takeaways

  • Player dynamics model predicts soccer player movements using attractors and repellers.
  • Quantification of player skill in soccer through dribbling score based on dynamic systems model.

Deep dives

Predicting Player Movements Using Dynamical Systems Model

The podcast episode discusses a study that aims to predict and measure soccer player movements on the field solely based on dynamics without considering cognitive processes or strategies. By using a dynamical systems model inspired by previous research, this study focuses on attractors (goal) and repellers (obstacles) to analyze how players navigate through the field. The model successfully predicted players' routes by considering the relative positions of obstacles, goals, attractor, and repeller forces.

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