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Managing the Training Process in Elite Sports: From Descriptive to Prescriptive Data Analytics.

Kobe C Houtmeyers, Arne Jaspers, Pedro Figueiredo

    International Journal of Sports Physiology and Performance
    |October 23, 2021
    PubMed
    Summary

    Elite sport uses data analytics to improve athlete health and performance. A new framework helps practitioners apply descriptive, diagnostic, predictive, and prescriptive analytics for better training decisions.

    Keywords:
    analysis methodsdecision makingframeworkpredictionsport science

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    Area of Science:

    • Sports Science
    • Data Analytics
    • Performance Optimization

    Background:

    • Elite sports increasingly rely on data for training decisions impacting athlete health and performance.
    • Conceptual data analytics frameworks from business can enhance data utilization in elite sports.
    • Effective data application requires valuable insights and actionable recommendations.

    Purpose of the Study:

    • To present and discuss a conceptual data analytics framework for elite sport organizations.
    • To adapt a business analytics taxonomy for developing data analytics in sports.
    • To guide the strategic implementation of data analytics in elite sport settings.

    Main Methods:

    • Literature review of business analytics frameworks.
    • Adaptation of a taxonomy for elite sport contexts.
    • Conceptual framework development with 4 analytical steps.

    Main Results:

    • The framework includes descriptive, diagnostic, predictive, and prescriptive analytics.
    • Descriptive and diagnostic analytics focus on understanding past training.
    • Predictive and prescriptive analytics guide future planning, with prescriptive analytics driving decisions.

    Conclusions:

    • Current elite sport data use primarily informs decisions, rather than driving them.
    • Advanced analytics like prescriptive analytics remain challenging to implement.
    • The proposed framework can enhance analytical reasoning and foster collaboration.