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    Understanding Complexity: A Machine Learning Approach to Exploring Playing Styles in Australian Football

    Moffatt SJ 2025 Public.pdf (14.81Mb)
    Access Status
    Open access
    Authors
    Moffatt, Samuel Joseph
    Date
    2025
    Supervisor
    Ritu Gupta
    Brad S Keller, Freemantle Football Club
    Suman Rakshit
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    School of Electrical Engineering, Computing and Mathematical Sciences
    URI
    http://hdl.handle.net/20.500.11937/98296
    Collection
    • Curtin Theses
    Abstract

    The thesis introduced a novel clustering framework utilising a composite cluster assessment index informed by subject matter expert knowledge to guide the selection of optimal cluster hyper-parameters. The framework defined five offensive, five defensive, and six transitional team playing styles and six offensive, six defensive, and four transitional player playing styles implemented in the 2021 – 2023 AFL seasons. Further analysis of team playing styles and individual playing performance uncovered deeper insights to assist coaching decisions.

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