Journal
JOURNAL OF SPORTS SCIENCES
Volume 35, Issue 4, Pages 325-330Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/02640414.2016.1164334
Keywords
Talent selection; predictive modelling; notational analytics; performance analysis; recruiting
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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 1-65) and then draft round (1-4). Here, earlier draft selection (i.e., closer to 1) 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.
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