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Within and Between-Tournament Variability in Equestrian Polo.

Russ Best1

  • 1Center for Sport Science and Human Performance, Waikato Institute of Technology, Hamilton, New Zealand; Te PÅ«kenga, Hamilton, New Zealand; Kihikihi Polo Club, Kihikihi, New Zealand; Tiger Polo Academy, Mystery Creek, New Zealand.

Journal of Equine Veterinary Science
|October 23, 2022
PubMed
Summary
This summary is machine-generated.

This study analyzed external work in Polo ponies, revealing that while performance metrics increase with play level, within-tournament variability decreases. Polo exhibits significant between-tournament variability, impacting reliability assessments.

Keywords:
EquestrianEquineGPSMeasurementPoloThoroughbredVariability

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Area of Science:

  • Equestrian sports science
  • Animal locomotion analysis
  • Performance analytics in animal athletes

Background:

  • External work in Polo ponies is documented but variability within data is underexplored.
  • Understanding variability is crucial for performance prediction, coaching, and horse development.
  • Comparison with other equestrian disciplines requires robust variability data.

Purpose of the Study:

  • To quantify within- and between-tournament variability in Polo pony external work metrics.
  • To examine how variability changes across different Polo play levels (0- to 16-goal, Women's Polo).
  • To propose a reliable method for assessing between-tournament variability.

Main Methods:

  • Collected Global Positioning System (GPS) data from 618 chukkas across three New Zealand Polo seasons.
  • Calculated standard error and coefficient of variation for within-tournament variability.
  • Assessed between-tournament variability using median percentage difference and Spearman's rho.

Main Results:

  • Playing duration, speeds, and distance metrics generally increase with Polo level, accompanied by reduced within-tournament variability.
  • Nought (0-), 6-goal, and Women's Polo demonstrated comparable within-tournament measures.
  • Polo displays high between-tournament variability, with within-player variability often exceeding between-player variability.

Conclusions:

  • Within-player variability in Polo can exceed between-player variability, challenging reliability interpretations.
  • Z-scores offer a practical method for capturing and presenting between-tournament variability.
  • This approach aids in comparing Polo performance across tournaments and seasons.