The use of player physical and technical skill match activity profiles to predict position in the Australian Football League draft
Research output: Journal contributions › Journal articles › Research › peer-review
Standard
In: Journal of Sports Sciences, Vol. 35, No. 4, 16.02.2017, p. 325-330.
Research output: Journal contributions › Journal articles › Research › peer-review
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - The use of player physical and technical skill match activity profiles to predict position in the Australian Football League draft
AU - Woods, Carl T.
AU - Veale, James P.
AU - Collier, Neil
AU - Robertson, Sam
PY - 2017/2/16
Y1 - 2017/2/16
N2 - 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.
AB - 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.
KW - notational analytics
KW - performance analysis
KW - predictive modelling
KW - recruiting
KW - Talent selection
KW - Environmental planning
UR - http://www.scopus.com/inward/record.url?scp=84961654827&partnerID=8YFLogxK
U2 - 10.1080/02640414.2016.1164334
DO - 10.1080/02640414.2016.1164334
M3 - Journal articles
C2 - 27014937
AN - SCOPUS:84961654827
VL - 35
SP - 325
EP - 330
JO - Journal of Sports Sciences
JF - Journal of Sports Sciences
SN - 0264-0414
IS - 4
ER -