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Man & machine: Adaptive tools for the contemporary performance analyst.

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Area of Science:

  • Sports Science
  • Human-Computer Interaction
  • Performance Analytics

Background:

  • The sports industry is rapidly growing in resources, professionalism, and data generation.
  • The role of the performance analyst is evolving due to technological advancements.
  • Traditional skill sets are insufficient for contemporary performance analysis.

Purpose of the Study:

  • To identify essential adaptive tools for modern performance analysts.
  • To provide a rationale for each tool, emphasizing future readiness.
  • To equip performance analysts for success in evolving research and applied sports environments.

Main Methods:

  • Review of current trends in sports technology and data analytics.
  • Identification of key adaptive tools for performance analysts.
  • Development of a rationale for each recommended tool.

Main Results:

  • A curated list of ten essential adaptive tools for performance analysts.
  • Justification for each tool's relevance in research and applied settings.
  • Emphasis on skills needed to navigate complex data and technological landscapes.

Conclusions:

  • Performance analysts require new adaptive tools to thrive amidst industry growth.
  • These tools are crucial for addressing complex challenges and improving sports performance.
  • The identified tools prepare analysts for both current and future demands in the sports industry.