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Novel component variables can be used to distinguish between winning and losing across match periods in elite Gaelic football

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  • Declan Gamble
  • Andrew McCarren
  • Jonathan Bradley
  • Niall Moyna

Abstract

This study examined whether team performance indicators could be used to differentiate winners from losers across specific match periods in 26 Gaelic football games. A principal component analysis, conducted on either 25 (halves) or 27 (quarters) variables, produced 6 components, which explained 83.5% and 81.0% of the variance for halves and quarters, respectively. Generalised estimating equation models were used to identify derived components which differentiated winners from losers across specific periods. In winning halves, 4 components were significant; midfield counterattacking (p = 0.008), possession (p = 0.001), low press efficiency (p = 0.032) and tackle pressure (p = 0.023). Possession (p = 0.007) and tackle pressure (p = 0.014) contributed significantly more to winning in the second compared to the first half. In winning quarters, 4 components were also significant; midfield counterattacking (p = 0.000), possession (p = 0.000), offensive dead ball efficiency (p = 0.029) and high press efficiency (p = 0.034). High press efficiency (p = 0.000) and midfield counterattacking (p = 0.021) contributed significantly more to winning in quarters 1 and 2, respectively, in comparison to quarter 4. These results can be used by coaches to develop tactical strategies and establish performance targets for specific match periods.

Suggested Citation

  • Declan Gamble & Andrew McCarren & Jonathan Bradley & Niall Moyna, 2020. "Novel component variables can be used to distinguish between winning and losing across match periods in elite Gaelic football," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 20(2), pages 264-279, March.
  • Handle: RePEc:taf:rpanxx:v:20:y:2020:i:2:p:264-279
    DOI: 10.1080/24748668.2020.1741917
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