Examination of player role in the Australian Football League using match performance data

McIntosh, Sam; Kovalchik, Stephanie; Robertson, Sam

doi:10.1080/24748668.2018.1486116

Cited by 13 publications

(14 citation statements)

References 15 publications

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“…However, forward half players may find it challenging to perform when competing against additional defenders or amongst a large group of players. Expectations of individual performances may need to be tailored to account for such exchanges that accompany varying player roles [30]. For example, when encountering a team that promotes extra defenders, a more equitable representation of a forward's performance may include the notation of how the opposition was prevented from generating an intercept, rather than solely accounting for traditional performance indicators.…”

Section: Plos Onementioning

confidence: 99%

Team numerical advantage in Australian rules football: A missing piece of the scoring puzzle?

Alexander

Bedin²,

Jackson³

et al. 2021

PLoS ONE

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The primary aim of this study was to determine the relationship between a team numerical advantage during structured phases of play and match event outcomes in professional Australian football. The secondary aim was to quantify how players occupy different sub-areas of the playing field in match play, while accounting for match phase and ball location. Spatiotemporal player tracking data and play-by-play event data from professional players and teams were collected from the 2019 Australian Football League season played at a single stadium. Logistic regression analysed the relationship between total players and team numerical advantage during clearances and inside 50’s. Total players and team numerical advantage were also quantified continuously throughout a match, which were separated into three match phases (offence, defence, and stoppage) and four field positions (defensive 50, defensive midfield, attacking midfield, and forward 50). Results identified an increased team numerical advantage produced a greater likelihood of gaining possession from clearances or generating a score from inside 50’s. Although, an increased number of total players inside 50 was likely associated with a concomitant decrease in the probability of scoring, irrespective of a team numerical advantage. Teams were largely outnumbered when the ball was in their forward 50 but attained a numerical advantage when the ball was in the defensive 50.

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Section: Plos Onementioning

confidence: 99%

Team numerical advantage in Australian rules football: A missing piece of the scoring puzzle?

Alexander

Bedin²,

Jackson³

et al. 2021

PLoS ONE

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“…2 Determining the form and function of events within the specifics of a sport for teams and individual athletes should inform the variables for quantification of performance and therefore the sport analytics approaches used to facilitate future coaching practise. 3 The relationship between match athlete performance indicators 1 in Australian Rules football (AF) have been investigated heavily in the literature across elite male teams [4][5][6] , individual athlete contributions 7 , and recently, elite women's teams. 8 In 2017, AF established a national elite women's competition, the Australian Football League Women's (AFLW) in addition to the long running elite men's Australian Football League (AFL).…”

Section: Accepted Manuscript Introductionmentioning

confidence: 99%

The relationship of team and individual athlete performances on match quarter outcome in elite women’s Australian Rules football

Cust

Sweeting

Ball

et al. 2019

Journal of Science and Medicine in Sport

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“…For example, a different combination of NFL Draft Combine physical activity measures were shown to be associated with future match performance for the running back playing position (10 yard sprint) compared to the wide receiver playing position (height, weight and vertical jump) in the NFL (Teramoto et al, 2016). Given recent research has identified differences in objective match performance data between player roles in the AFL (McIntosh, Kovalchik, & Robertson, 2018a), future research examining match performance in professional Australian Football should account for playing position.…”

Section: Introductionmentioning

confidence: 99%

The efficacy of talent selection criteria in the Australian Football League

Sullivan

Kempton

Ward

et al. 2020

Journal of Sports Sciences

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This study investigated the association between talent selection criteria, draft order and match performance in professional Australian Football players. Physical performance results from the Australian Football League (AFL) National Draft combine and non-performance based talent selection criteria were collated for all players drafted in the National Draft with selections 1-80 between 2003 and 2008 (n = 318). Match performance was assessed via the AFL Player Ranking metric that was provided by a commercial statistical provider (Champion Data Pty Ltd). A combination of stepwise multiple regression and linear mixed model analyses examined the influence of National Draft combine physical performance assessments and non-performance based talent selection criteria on draft order and future match performance. Earlier draft selection was associated with Under-18 all Australian team selection, height, Under-18 National Championship participation and indigenous status. The 20 m sprint and state of origin were associated with later draft selection. Under-18 all Australian team selection increased both Player Ranking/game and total Player Ranking. Under-18 all Australian team selection displays efficacy for selecting players with the potential for success.

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Examination of player role in the Australian Football League using match performance data

Cited by 13 publications

References 15 publications

Team numerical advantage in Australian rules football: A missing piece of the scoring puzzle?

Team numerical advantage in Australian rules football: A missing piece of the scoring puzzle?

The relationship of team and individual athlete performances on match quarter outcome in elite women’s Australian Rules football

The efficacy of talent selection criteria in the Australian Football League

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