Gamble, Declan, Bradley, Jonathan ORCID: 0000-0002-4299-9639, McCarren, Andrew ORCID: 0000-0002-7297-0984 and Moyna, Niall ORCID: 0000-0003-1061-8528 (2019) Team performance indicators which differentiate between winning and losing in elite Gaelic football. International Journal of Performance Analysis in Sport, 19 (4). pp. 478-490. ISSN 2474-8668
Abstract
The objective of this study was to identify performance indicators which differentiated between
winning and losing elite Gaelic football teams. Eighty three technical and tactical performance
variables were measured in 13 teams during 26 league and championship games throughout
2014-15. Univariate analysis of full-games revealed that winners achieved a significantly higher
total score, number of scores, shots, points, points from play and goals, resulting in superior shot
efficiency, average attack per score, and scores per 10 possessions. Winners gained significantly
more turnovers and completed significantly less unsuccessful hand passes. Winners also
performed significantly less kick outs, resulting in fewer successful kick outs and successful
dead ball kick passes overall. A principal component analysis, conducted on 18 variables
produced 4 components, which explained 81.9% of the variance. Both logistic regression (8.00,
χ
2
(1) = 16.00, p < 0.001) and discriminant analysis (Ʌ = 0.53, χ
2
(1) = 13.77, p < 0.001) revealed
that 1 component; defensive counterattacking, significantly contributed to outcome and
differentiated winners from losers with a cross-validation accuracy of 87.5%. Coaches can use
this information to organise their defensive system to generate opposition turnovers and also
incorporate sufficient flexibility to facilitate effective transitions to exploit their own offensive
counterattacking opportunities.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Uncontrolled Keywords: | Team sport; match analysis; technical variables; football |
Subjects: | Medical Sciences > Performance Medical Sciences > Sports sciences |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
Publisher: | Taylor & Francis |
Official URL: | http://dx.doi.org/ |
Copyright Information: | © 2019 Taylor & Francis |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 25444 |
Deposited On: | 01 Feb 2021 11:24 by Michael Scriney . Last Modified 01 Feb 2021 11:24 |
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