The influence of match phase and field position on collective team behaviour in Australian Rules football

Alexander, Jeremy; Spencer, Bartholomew; Sweeting, Alice; Mara, Jocelyn K; Robertson, Sam

doi:10.1080/02640414.2019.1586077

Cited by 25 publications

(23 citation statements)

References 27 publications

(3 reference statements)

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“…An increased team numerical advantage was associated with a greater likelihood of gaining possession of the ball during stoppages or generating a score from preceding I50 entries. Similar to research in match play simulation in AF [5,17], the total number of players increased based on where the ball was positioned, especially during the stoppage phase in the D50 and F50 and the defensive phase in the D50. It appears that AF players are more nomadic compared to football players, in that, they may not be consigned to a specific role that requires them to be located in a permanent area on a playing surface.…”

Section: Discussionmentioning

confidence: 62%

“…This is in contrast to football players who generally perform predetermined roles and therefore occupy fixed regions on a field of play [24]. An increased number of players within a specific region may also impact opposition behaviour [17]. Specifically, increasing the number of defensive players surrounding an attacking team taking a shot at goal is associated with a concurrent decrease in successful scoring attempts [25,26].…”

Section: Discussionmentioning

confidence: 99%

“…The offensive phase was recorded from when a team won possession from either a clearance, intercept or after the opposing team scored a behind [12]. The offensive phase continued until the team lost possession of the ball to the opposing team or the ball went out of play [17]. The defensive phase was recorded when the opposing team was in offence.…”

Section: Plos Onementioning

confidence: 99%

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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: Discussionmentioning

confidence: 62%

Section: Discussionmentioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%

See 1 more Smart Citation

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

Alexander

Bedin²,

Jackson³

et al. 2021

PLoS ONE

Self Cite

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“…The greater distance to travel to goals, as well as the increased width in the midfield due to the oval shape of the ground are likely explanations for these results. Indeed, previous research has shown that greater availability of field space increases physical activity requirements in small-sided games (Dellal et al 2011;Fleay et al 2018) and that the width of the playing surface is often utilised by attacking teams to spread the defence and create more avenues to goal (Alexander et al 2019).…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, we hypothesise that the starting location of a possession will also influence the movement demands during a chain due to differences in tactical strategies, spatial constraints, and density of players along the length of the ground. (Alexander et al 2019) Despite the importance of these contextual factors, no studies have examined the influence of either the location or initial starting event of a possession chain on physical activity characteristics. In professional AF clubs, analysis of technical and tactical performance typically involves segmenting the match into individual possession chains and incorporating additional factors such initial chain event and field location.…”

Section: Introductionmentioning

confidence: 99%

Possession chain factors influence movement demands in elite Australian football match-play

Vella

Clarke

Kempton

et al. 2020

Science and Medicine in Football

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Contemporary analysis of physical activity in Australian Football (AF) is typically presented as a total measure and independent of game context, which is not representative of how the game is played and/ or assessed by coaches. This study examines the activity profile of individual possession chains and determines the influence that field position, initial chain state, and possession phase have on these activity characteristics in men's AF.Global positioning system data were attained from 35 players in 13 matches across the 2019 Australian Football League season. Matches were coded into different possession phases, initial field location of the ball, and initial chain state. Mixed models were built to observe the influence of field position and initial chain state for each possession phase.Less TD and HSR distance were covered during attacking chains in the forward 50 and attacking midfield, while defensive chains covered less TD and HSR in the defensive 50 and defensive midfield (p < 0.001). Significant main effects for possession phase and initial chain state were observed for TD and HSR. TD and HSR were higher during attacking chains, while chains beginning from a stoppage were lower than intercept and kick-ins (p < 0.001).Overall, the most intense moments of the game appear similar across all possession phases when field location is accounted for and that transitioning the ball quickly from the defensive end of the field results in greater physical activity. These findings can be used for prescription and monitoring of training drills specific to AF requirements.

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Comparison of a computer vision system against three-dimensional motion capture for tracking football movements in a stadium environment

et al. 2022

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Three-dimensional motion capture systems such as Vicon have been used to validate commercial electronic performance and tracking systems. However, three-dimensional motion capture cannot be used for large capture areas such as a full football pitch due to the need for many fragile cameras to be placed around the capture volume and a lack of suitable depth of field of those cameras. There is a need, therefore, for a hybrid testing solution for commercial electronic performance and tracking systems using highly precise three-dimensional motion capture in a small test area and a computer vision system in other areas to test for full-pitch coverage by the commercial systems. This study aimed to establish the validity of VisionKit computer vision system against three-dimensional motion capture in a stadium environment. Ten participants undertook a series of football-specific movement tasks, including a circuit, small-sided games and a 20 m sprint. There was strong agreement between VisionKit and three-dimensional motion capture across each activity undertaken. The root mean square difference for speed was 0.04 m·s−1 and for position was 0.18 m. VisionKit had strong agreement with the criterion three-dimensional motion capture system three-dimensional motion capture for football-related movements tested in stadium environments. VisionKit can thus be used to establish the concurrent validity of other electronic performance and tracking systems in circumstances where three-dimensional motion capture cannot be used.

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The influence of match phase and field position on collective team behaviour in Australian Rules football

Cited by 25 publications

References 27 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?

Possession chain factors influence movement demands in elite Australian football match-play

Comparison of a computer vision system against three-dimensional motion capture for tracking football movements in a stadium environment

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