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Predicting a nation's olympic-qualifying swimmers.

Sian V Allen1, Tom J Vandenbogaerde, David B Pyne

  • 1High Performance Sport New Zealand, Auckland, New Zealand.

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Summary
This summary is machine-generated.

Selecting swimmers for talent development requires large squads to capture Olympic qualifiers. Current methods based on early performance and age are insufficient for effective early talent identification.

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Area of Science:

  • Sports Science
  • Talent Identification
  • Swimming Performance Analysis

Background:

  • Talent identification and development in sports often rely on early-career performance metrics.
  • Effective selection methods are crucial for optimizing resource allocation in athlete development programs.

Purpose of the Study:

  • To compare four distinct methods for the early-career selection of Australian swimmers aiming for the 2012 Olympic Games.
  • To evaluate the efficacy of different predictive models in identifying potential Olympic qualifiers.

Main Methods:

  • Analysis of performance times from 5738 Australian swimmers (2000-2012) relative to world-record times.
  • Retrospective simulation of talent squad selection using four methods: current performance, regression, neural networks, and mixed modeling.
  • Squad selection thresholds were set to include 90% of eventual Olympic qualifiers, applied annually from 2007 to 2011.

Main Results:

  • Regression and neural-network models showed improved identification rates over time, reaching 66% and similar levels respectively by 2011.
  • Predictive models yielded progressively larger squad sizes and higher proportions of Olympic qualifiers in later selection years.
  • Existing talent squads (91-67 swimmers) only captured 50-74% of Olympic qualifiers, indicating suboptimal selection.

Conclusions:

  • Substantial talent-development squads are necessary to encompass the majority of future Olympic qualifiers.
  • Current early selection criteria, relying solely on age and performance, are inadequate for precise talent identification.
  • Additional selection criteria beyond age and performance are essential for enhancing the accuracy of early swimmer selection.