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Multifactorial Benchmarking of Longitudinal Player Performance in the Australian Football League
This study aimed to develop a model to objectively benchmark professional Australian Rules football (AF) player performance based on age, experience, positional role and both draft type and round in the Australian Football League (AFL). The secondary aims were to identify the stage of peak performan...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6554430/ https://www.ncbi.nlm.nih.gov/pubmed/31214087 http://dx.doi.org/10.3389/fpsyg.2019.01283 |
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author | McIntosh, Sam Kovalchik, Stephanie Robertson, Sam |
author_facet | McIntosh, Sam Kovalchik, Stephanie Robertson, Sam |
author_sort | McIntosh, Sam |
collection | PubMed |
description | This study aimed to develop a model to objectively benchmark professional Australian Rules football (AF) player performance based on age, experience, positional role and both draft type and round in the Australian Football League (AFL). The secondary aims were to identify the stage of peak performance and specific breakpoints in AF player performance longitudinally. AFL Player Ratings data were obtained for all players (n = 1052) from the 1034 matches played during the 2013–2017 seasons, along with data pertaining to the abovementioned player characteristics. Two separate linear mixed models revealed that all factors influenced player performance, with age and experience the strongest in each model, respectively. Post hoc Tukey tests indicated that performance was affected by age at each level up until the age of 21 (effect ranging from 0.98 to 3.70 rating points), and by experience at the levels 1–20 and 21–40 matches in comparison to all higher levels of experience (effect ranging from 1.01 to 3.77 rating points). Two segmented models indicated that a point of marginal gains exists within longitudinal performance progression between the age levels 22 and 23, and the experience levels 41–60 and 61–80 matches. Professional sporting organisations may apply the methods provided here to support decisions regarding player recruitment and development. |
format | Online Article Text |
id | pubmed-6554430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65544302019-06-18 Multifactorial Benchmarking of Longitudinal Player Performance in the Australian Football League McIntosh, Sam Kovalchik, Stephanie Robertson, Sam Front Psychol Psychology This study aimed to develop a model to objectively benchmark professional Australian Rules football (AF) player performance based on age, experience, positional role and both draft type and round in the Australian Football League (AFL). The secondary aims were to identify the stage of peak performance and specific breakpoints in AF player performance longitudinally. AFL Player Ratings data were obtained for all players (n = 1052) from the 1034 matches played during the 2013–2017 seasons, along with data pertaining to the abovementioned player characteristics. Two separate linear mixed models revealed that all factors influenced player performance, with age and experience the strongest in each model, respectively. Post hoc Tukey tests indicated that performance was affected by age at each level up until the age of 21 (effect ranging from 0.98 to 3.70 rating points), and by experience at the levels 1–20 and 21–40 matches in comparison to all higher levels of experience (effect ranging from 1.01 to 3.77 rating points). Two segmented models indicated that a point of marginal gains exists within longitudinal performance progression between the age levels 22 and 23, and the experience levels 41–60 and 61–80 matches. Professional sporting organisations may apply the methods provided here to support decisions regarding player recruitment and development. Frontiers Media S.A. 2019-05-31 /pmc/articles/PMC6554430/ /pubmed/31214087 http://dx.doi.org/10.3389/fpsyg.2019.01283 Text en Copyright © 2019 McIntosh, Kovalchik and Robertson. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology McIntosh, Sam Kovalchik, Stephanie Robertson, Sam Multifactorial Benchmarking of Longitudinal Player Performance in the Australian Football League |
title | Multifactorial Benchmarking of Longitudinal Player Performance in the Australian Football League |
title_full | Multifactorial Benchmarking of Longitudinal Player Performance in the Australian Football League |
title_fullStr | Multifactorial Benchmarking of Longitudinal Player Performance in the Australian Football League |
title_full_unstemmed | Multifactorial Benchmarking of Longitudinal Player Performance in the Australian Football League |
title_short | Multifactorial Benchmarking of Longitudinal Player Performance in the Australian Football League |
title_sort | multifactorial benchmarking of longitudinal player performance in the australian football league |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6554430/ https://www.ncbi.nlm.nih.gov/pubmed/31214087 http://dx.doi.org/10.3389/fpsyg.2019.01283 |
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