The use of player physical and technical skill match activity profiles to predict position in the Australian Football League draft

Woods, Carl T., Veale, James P., Collier, Neil, and Robertson, Sam (2016) The use of player physical and technical skill match activity profiles to predict position in the Australian Football League draft. Journal of Sports Sciences, 35 (4). pp. 325-330.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://dx.doi.org/10.1080/02640414.2016....
 
21
2


Abstract

This study investigated the extent to which position in the Australian Football League (AFL) national draft is associated with individual game performance metrics. Physical / technical skill performance metrics were collated from all participants in the 2014 national under 18 (U18) championships (18 games) drafted into the AFL (n = 65; 17.8 ± 0.5 y); 232 observations. Players were subdivided into draft position (ranked one to 65) and then draft round (one to four). Here, earlier draft selection (i.e., closer to one) reflects a more desirable player. Microtechnology and a commercial provider facilitated the quantification of individual game performance metrics (n = 16). Linear mixed models were fitted to data, modelling the extent to which draft position was associated with these metrics. Draft position in the first / second round was negatively associated with "contested possessions" and "contested marks", respectively. Physical performance metrics were positively associated with draft position in these rounds. Correlations weakened for the third / fourth rounds. Contested possessions / marks were associated with an earlier draft selection. Physical performance metrics were associated with a later draft selection. Recruiters change the type of U18 player they draft as the selection pool reduces. Juniors with contested skill appear prioritised.

Item ID: 43544
Item Type: Article (Research - C1)
ISSN: 1466-447X
Keywords: talent selection; predictive modelling; notational analytics; performance analysis; recruiting
Date Deposited: 13 Jul 2016 05:45
FoR Codes: 42 HEALTH SCIENCES > 4207 Sports science and exercise > 420703 Motor control @ 50%
42 HEALTH SCIENCES > 4207 Sports science and exercise > 420799 Sports science and exercise not elsewhere classified @ 50%
SEO Codes: 92 HEALTH > 9299 Other Health > 929999 Health not elsewhere classified @ 100%
Downloads: Total: 2
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page