Physical demands and technical performance in Australian Football League Women’s (AFLW) competition match-play

2018 ◽  
Vol 21 (7) ◽  
pp. 748-752 ◽  
Author(s):  
Anthea C. Clarke ◽  
Samuel Ryan ◽  
Georgia Couvalias ◽  
Ben J. Dascombe ◽  
Aaron J. Coutts ◽  
...  
Keyword(s):  
Match Play ◽  
Physical Demands ◽  
Technical Performance ◽  
Australian Football League ◽  
Australian Football

Phases of match-play in professional Australian Football: Distribution of physical and technical performance

2020 ◽  
Vol 38 (14) ◽  
pp. 1682-1689 ◽  
Author(s):  
Michael J. Rennie ◽  
Stephen J. Kelly ◽  
Stephen Bush ◽  
Robert W. Spurrs ◽  
Damien J. Austin ◽  
...  
Keyword(s):  
Match Play ◽  
Technical Performance ◽  
Australian Football

Physical Demands and Salivary Immunoglobulin A Responses of Elite Australian Rules Football Athletes to Match Play

2015 ◽  
Vol 10 (5) ◽  
pp. 613-617 ◽  
Author(s):  
Sam Coad ◽  
Bon Gray ◽  
George Wehbe ◽  
Christopher McLellan
Keyword(s):  
Repeated Measures ◽  
Immunoglobulin A ◽  
Immunological Function ◽  
Longitudinal Assessment ◽  
Match Play ◽  
Positioning Systems ◽  
Australian Football League ◽  
Australian Rules Football ◽  
Australian Football ◽  
Salivary Immunoglobulin A

Purpose:To examine the response or pre- and postmatch salivary immunoglobulin A concentration ([s-IgA]) to Australian Football League (AFL) match play and investigate the acute and cumulative influence of player workload and postmatch [s-IgA] after repeated participation in AFL match play.Methods:Eleven elite AFL athletes (21.8 ± 2.4 y, 186.9 ± 7.9 cm, 87.4 ± 7.5 kg) were monitored throughout 3 matches during the preseason that were separated by 7 d. Saliva samples were collected across each AFL match at 24 h and 1 h prematch and 1, 12, 36, and 60 h postmatch to determine [s-IgA]. Global positioning systems (GPS) with integrated triaxial accelerometers were used to determine total player workload during match play. Hypothesis testing was conducted for time-dependent changes in [s-IgA] and player load using a repeated-measures ANOVA.Results:Player load during match 3 (1266 ± 124.6 AU) was significantly (P < .01) greater than in match 1 (1096 ± 115.1 AU) and match 2 (1082 ± 90.4 AU). Across match 3, [s-IgA] was significantly (P < .01) suppressed at 2 postmatch measures (12 and 36 h) compared with prematch measures (24 and 1 h), which coincided with significantly (P < .01) elevated player load.Conclusion:The findings indicate that an increase in player load during AFL preseason match play resulted in compromised postmatch mucosal immunological function. Longitudinal assessment of AFL-match player load and mucosal immunological function across the first 60 h of recovery may augment monitoring and preparedness strategies for athletes.

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

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254591
Author(s):  
Jeremy P. Alexander ◽  
Timothy Bedin ◽  
Karl B. Jackson ◽  
Sam Robertson
Keyword(s):  
Tracking Data ◽  
Event Data ◽  
Match Play ◽  
Playing Field ◽  
Australian Football League ◽  
Player Tracking ◽  
Australian Rules Football ◽  
Australian Football ◽  
The Relationship ◽  
Numerical Advantage

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.

scholarly journals Future Directions and Considerations for Talent Identification in Australian Football

2020 ◽  
Vol 2 ◽  
Author(s):  
Nathan Bonney ◽  
Paul Larkin ◽  
Kevin Ball
Keyword(s):  
Skill Assessment ◽  
Dynamic Nature ◽  
Future Directions ◽  
Match Play ◽  
Talent Identification ◽  
Identification Process ◽  
Future Developments ◽  
Australian Football League ◽  
Australian Football ◽  
Assessment Procedures

As the focus on the elite Australian Football League competition becomes greater so too does the demand for success. Clubs are heavily scrutinized for their draft selections and as such are taking more interest in the younger levels of competition in an attempt to identify and monitor talent. Based on contemporary talent identification knowledge, this review examines the current talent identification process in Australian football, with a focus on areas to potentially improve or inform future developments. Currently, a significant gap exists between static and isolated assessment procedures used to identify talent in Australian football and the dynamic nature of match play. Future assessments should consider factors such as maturation, fatigue and ecological dynamics. The addition of a valid and reliable technical skill assessment (e.g., a small-sided game) to the current Australian Football League draft combine was recommended.

Seasonal Analysis of Mucosal Immunological Function and Physical Demands in Professional Australian Rules Footballers

2016 ◽  
Vol 11 (5) ◽  
pp. 574-580 ◽  
Author(s):  
Sam Coad ◽  
Bon Gray ◽  
Christopher McLellan
Keyword(s):  
Mixed Model ◽  
Linear Mixed Model ◽  
Immunoglobulin A ◽  
Immunological Function ◽  
Match Play ◽  
Positioning Systems ◽  
Monitoring Strategies ◽  
Australian Football League ◽  
Australian Football ◽  
Seasonal Analysis

Purpose:To assess match-to-match variations in salivary immunoglobulin A concentration ([s-IgA]) measured at 36 h postmatch throughout an Australian Football League (AFL) premiership season and to assess the trends between 36-h-postmatch [s-IgA] and match-play exercise workloads throughout the same season.Methods:Eighteen elite male AFL athletes (24 ± 4.2 y, 187.0 ± 7.1 cm, 87.0 ± 7.6 kg) were monitored on a weekly basis to determine total match-play exercise workloads and 36-h-postmatch [s-IgA] throughout 16 consecutive matches in an AFL premiership season. Global positioning systems (GPS) with integrated triaxial accelerometers were used to measure exercise workloads (PlayerLoad) during each AFL match. A linear mixed-model analyses was conducted for time-dependent changes in [s-IgA] and player load.Results:A significant main effect was found for longitudinal postmatch [s-IgA] data (F16,240 = 3.78, P < .01) and PlayerLoad data (F16,66 = 1.98, P = .03). For all matches after and including match 7, a substantial suppression trend in [s-IgA] 36-h-postmatch values was found compared with preseason baseline [s-IgA].Conclusion:The current study provides novel data regarding longitudinal trends in 36-h-postmatch [s-IgA] for AFL athletes. Results demonstrate that weekly in-season AFL match-play exercise workloads may result in delayed mucosal immunological recovery beyond 36 h postmatch. The inclusion of individual athlete-monitoring strategies of [s-IgA] may be advantageous in the detection of compromised postmatch mucosal immunological function for AFL athletes.

scholarly journals Muscle Glycogen Utilization During an Australian Rules Football Game

2019 ◽  
Vol 14 (1) ◽  
pp. 122-124 ◽  
Author(s):  
Harry E. Routledge ◽  
Jill J. Leckey ◽  
Matt J. Lee ◽  
Andrew Garnham ◽  
Stuart Graham ◽  
...  
Keyword(s):  
Muscle Glycogen ◽  
High Speed ◽  
Fiber Type ◽  
Vastus Lateralis ◽  
Dry Weight ◽  
Match Play ◽  
Australian Football League ◽  
Before And After ◽  
Australian Football ◽  
Glycogen Utilization

Purpose: To better understand the carbohydrate (CHO) requirement of Australian Football (AF) match play by quantifying muscle glycogen utilization during an in-season AF match. Methods: After a 24-h CHO-loading protocol of 8 and 2 g/kg in the prematch meal, 2 elite male forward players had biopsies sampled from m. vastus lateralis before and after participation in a South Australian Football League game. Player A (87.2 kg) consumed water only during match play, whereas player B (87.6 kg) consumed 88 g CHO via CHO gels. External load was quantified using global positioning system technology. Results: Player A completed more minutes on the ground (115 vs 98 min) and covered greater total distance (12.2 vs 11.2 km) than player B, although with similar high-speed running (837 vs 1070 m) and sprinting (135 vs 138 m). Muscle glycogen decreased by 66% in player A (pre: 656 mmol/kg dry weight [dw], post: 223 mmol/kg dw) and 24% in player B (pre: 544 mmol/kg dw, post: 416 mmol/kg dw). Conclusion: Prematch CHO loading elevated muscle glycogen concentrations (ie, >500 mmol/kg dw), the magnitude of which appears sufficient to meet the metabolic demands of elite AF match play. The glycogen cost of AF match play may be greater than in soccer and rugby, and CHO feeding may also spare muscle glycogen use. Further studies using larger sample sizes are now required to quantify the interindividual variability of glycogen cost of match play (including muscle and fiber-type-specific responses), as well examining potential metabolic and ergogenic effects of CHO feeding.

scholarly journals Differences between Elite and Semi-Elite Australian Football Conceptualised through the Lens of Ecological Dynamics

Sports ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 159
Author(s):  
Carl T. Woods ◽  
James Jarvis ◽  
Ian McKeown
Keyword(s):  
Processing Time ◽  
Spatial Constraints ◽  
Match Play ◽  
Ecological Dynamics ◽  
Australian Football League ◽  
Australian Football ◽  
Training Activities ◽  
Temporal And Spatial

This study explored the differences in match play between elite and semi-elite Australian football (AF) conceptualised through the lens of ecological dynamics. We sampled naturalistic constraints from match play across two AF competitions (elite and semi-elite) and heuristically classified them into task, environmental and individual classes. Data was extracted from 22 Australian Football League (AFL) games, and 18 semi-elite AF games, with a total of six constraints being sampled from each game. Match play within the AFL generated a greater percent of total disposals in general play within a processing time of 0–1s (d = 1.24 (0.64–1.80)), a greater opposition density surrounding the ball carrier (d = 0.82 (0.26–1.37)), and more disposals being performed while running (dynamic; d = 0.89 (0.33–1.45)). This data highlights differences with regards to the informational sources available to players across both competition standards to inform their movement choices. Specifically, a greater proportion of disposals within the AFL appear to be shaped by pronounced temporal and spatial constraints relative to a semi-elite competition. Coaches are encouraged to consider these results when developing representative training activities for both AFL and prospective AFL players.

scholarly journals Evolution of Physical Demands of Australian Football League Matches from 2005 to 2017: A Systematic Review and Meta-Regression

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Samuel J. Janetzki ◽  
Pitre C. Bourdon ◽  
Kevin I. Norton ◽  
Jackson C. Lane ◽  
Clint R. Bellenger
Keyword(s):  
Cochrane Library ◽  
Physical Demands ◽  
Total Distance ◽  
Ovid Medline ◽  
Australian Football League ◽  
Coaching Strategies ◽  
Evolutionary Changes ◽  
Australian Football ◽  
Player Game ◽  
Meta Regression

Abstract Background There is extensive research investigating the match demands of players in the Australian Football League (AFL). Objective This systematic literature review and meta-regression sought to analyse the evolution of in-game demands in AFL matches from 2005 to 2017, focusing on the relationship between volume and intensity. Methods A systematic search of Ovid MEDLINE, Embase, Emcare, Scopus, SPORTDiscus, and Cochrane Library databases was conducted. Included studies examined the physical demands of AFL matches utilising global positioning system (GPS) technology. Meta-regression analysed the shift in reported volume (total distance and total match time) and intensity (metres per minute [m.min−1], sprint duration and acceleration) metrics for overall changes, across quarters and positional groups (forwards, nomadics and defenders) from 2005 to 2017 inclusive and for each year between 2005 and 2007, 2007 and 2010, 2010 and 2012, and 2012 and 2015/2017 breakpoints. Results Distance (p = 0.094), m.min−1 (p = 0.494), match time (p = 0.591), time over 18 km·h−1 (p = 0.271), and number of accelerations greater than 4 km·h−1 (p = 0.498) and 10 km·h−1 (p = 0.335) in 1 s did not change from 2005 to 2017. From 2005 to 2007 volume decreased (− 6.10 min of match time; p = 0.010) and intensity increased (6.8 m.min−1 increase; p = 0.023). Volume and intensity increased from 2007 to 2010, evidenced by increases in total distance (302 m; p = 0.039), time over 18 km·h−1 (0.31 min; p = 0.005), and number of accelerations greater than 4 km·h−1 (41.1; p = 0.004) and 10 km·h−1 (3.6; p = 0.005) in 1 s. From 2010 to 2012, intensity decreased, evidenced by reductions in metres per minute (− 4.3; p = 0.022), time over 18 km·h−1 (− 0.93 min; p < 0.001), and number of accelerations greater than 4 km·h−1 (− 104.4; p < 0.001) and 10 km·h−1 (− 8.3; p < 0.001) in 1 s, whilst volume stabilised with no changes in distance (p = 0.068) and match time (p = 0.443). From 2012 to 2015/2017 volume remained stable and intensity increased with time over 18 km·h−1 (0.27 min; p = 0.008) and number of accelerations greater than 4 km·h−1 (31.6; p = 0.016) in 1 s increasing. Conclusions Changes in volume and intensity of AFL match demands are defined by discrete periods from 2007 to 2010 and 2010 to 2012. The interaction of rule and interpretation changes and coaching strategies play a major role in these evolutionary changes. In turn, modified game styles impact player game demands, training, and selection priorities. Standardisation and uniformity of GPS data reporting is recommended due to inconsistencies in the literature.

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