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    This study introduces ForVizor, a visual analytics system for analyzing dynamic soccer team formations. It helps analysts understand player movement and tactical shifts over time.

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    Area of Science:

    • Sports Analytics
    • Data Visualization
    • Human-Computer Interaction

    Background:

    • Soccer team formation analysis is crucial for performance evaluation but challenging due to spatio-temporal dynamics.
    • Existing methods struggle to capture the time-varying and spatial nature of formations.
    • Domain experts require effective tools to analyze evolving team tactics.

    Purpose of the Study:

    • To address the challenges in analyzing time-varying soccer team formations.
    • To develop a novel visual representation for tracking formation evolution and player spatial flow.
    • To create a visual analytics system (ForVizor) for in-depth formation analysis.

    Main Methods:

    • Collaborated with domain experts to define formation analysis problems and design goals.
    • Designed a novel spatio-temporal visual representation for team formations.
    • Developed ForVizor, a visual analytics system integrating the new representation.
    • Conducted case studies with domain experts analyzing two soccer games.

    Main Results:

    • The novel spatio-temporal representation effectively visualizes formation changes over time.
    • ForVizor enables users to track player spatial flow within formations.
    • The system facilitates understanding of how and why formation changes occur.
    • Case studies yielded valuable insights and feedback from domain experts.

    Conclusions:

    • ForVizor provides a powerful tool for analyzing the spatio-temporal dynamics of soccer formations.
    • The system enhances domain experts' ability to understand tactical evolution and player movement.
    • This approach offers a significant advancement in sports analytics for soccer.