Literature DB >> 27014937

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

Carl T Woods1, James P Veale2, Neil Collier3, Sam Robertson4.   

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 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.

Entities:  

Keywords:  Talent selection; notational analytics; performance analysis; predictive modelling; recruiting

Mesh:

Year:  2016        PMID: 27014937     DOI: 10.1080/02640414.2016.1164334

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  7 in total

1.  Applied Sport Science of Australian Football: A Systematic Review.

Authors:  Rich D Johnston; Georgia M Black; Peter W Harrison; Nick B Murray; Damien J Austin
Journal:  Sports Med       Date:  2018-07       Impact factor: 11.136

Review 2.  Australian Football Skill-Based Assessments: A Proposed Model for Future Research.

Authors:  Nathan Bonney; Jason Berry; Kevin Ball; Paul Larkin
Journal:  Front Psychol       Date:  2019-02-26

3.  Match-play movement and metabolic power demands of elite youth, sub-elite and elite senior Australian footballers.

Authors:  Stephen J Kelly; Mark L Watsford; Michael J Rennie; Rob W Spurrs; Damien Austin; Matthew J Pine
Journal:  PLoS One       Date:  2019-02-28       Impact factor: 3.240

4.  Comparing subjective and objective evaluations of player performance in Australian Rules football.

Authors:  Sam McIntosh; Stephanie Kovalchik; Sam Robertson
Journal:  PLoS One       Date:  2019-08-14       Impact factor: 3.240

5.  An eye for talent: The recruiters' role in the Australian Football talent pathway.

Authors:  Paul Larkin; Daryl Marchant; Amy Syder; Damian Farrow
Journal:  PLoS One       Date:  2020-11-02       Impact factor: 3.240

6.  Assessing Technical Skills in Talented Youth Athletes: A Systematic Review.

Authors:  Till Koopmann; Irene Faber; Joseph Baker; Jörg Schorer
Journal:  Sports Med       Date:  2020-09       Impact factor: 11.136

Review 7.  Future Directions and Considerations for Talent Identification in Australian Football.

Authors:  Nathan Bonney; Paul Larkin; Kevin Ball
Journal:  Front Sports Act Living       Date:  2020-11-30
  7 in total

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