Predicting higher selection in elite junior Australian Rules football: the influence of physical performance and anthropometric attributes

Robertson, Sam, Woods, Carl, and Gastin, Paul (2015) Predicting higher selection in elite junior Australian Rules football: the influence of physical performance and anthropometric attributes. Journal of Science and Medicine in Sport, 18 (5). 601-606.

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Abstract

Objectives

To develop a physiological performance and anthropometric attribute model to predict Australian Football League draft selection.

Design

Cross-sectional observational.

Methods

Data was obtained (n = 4902) from three Under-18 Australian football competitions between 2010 and 2013. Players were allocated into one of the three groups, based on their highest level of selection in their final year of junior football (Australian Football League Drafted, n = 292; National Championship, n = 293; State-level club, n = 4317). Physiological performance (vertical jumps, agility, speed and running endurance) and anthropometric (body mass and height) data were obtained. Hedge's effect sizes were calculated to assess the influence of selection-level and competition on these physical attributes, with logistic regression models constructed to discriminate Australian Football League Drafted and National Championship players. Rule induction analysis was undertaken to determine a set of rules for discriminating selection-level.

Results

Effect size comparisons revealed a range of small to moderate differences between State-level club players and both other groups for all attributes, with trivial to small differences between Australian Football League Drafted and National Championship players noted. Logistic regression models showed multistage fitness test, height and 20 m sprint time as the most important attributes in predicting Draft success. Rule induction analysis showed that players displaying multistage fitness test scores of >14.01 and/or 20 m sprint times of <2.99 s were most likely to be recruited.

Conclusions

High levels of performance in aerobic and/or speed tests increase the likelihood of elite junior Australian football players being recruited to the highest level of the sport.

Item ID: 39719
Item Type: Article (Research - C1)
ISSN: 1878-1861
Keywords: prediction; logistic regression; talent identification; rule induction; relative age effect
Date Deposited: 11 Aug 2015 02:02
FoR Codes: 01 MATHEMATICAL SCIENCES > 0104 Statistics > 010401 Applied Statistics @ 10%
11 MEDICAL AND HEALTH SCIENCES > 1106 Human Movement and Sports Science > 110603 Motor Control @ 20%
11 MEDICAL AND HEALTH SCIENCES > 1106 Human Movement and Sports Science > 110699 Human Movement and Sports Science not elsewhere classified @ 70%
SEO Codes: 92 HEALTH > 9299 Other Health > 929999 Health not elsewhere classified @ 100%
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