Multifactorial Benchmarking of Longitudinal Player Performance in the Australian Football League

Frontiers in Psychology

article

Sam McIntosh¹  Stephanie Kovalchik¹  Sam Robertson¹ 

[1] Institute for Health & Sport, Victoria University;Western Bulldogs Football Club

关键词: decision support;    performance analysis;    data visualisation;    player evaluation;    team sport;   

DOI  :  10.3389/fpsyg.2019.01283

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

CC BY