Match score affects activity profile and skill performance in professional Australian Football players

Sullivan, Courtney; Bilsborough, Johann C.; Cianciosi, Michael; Hocking, Joel; Cordy, Justin; Coutts, Aaron J.

doi:10.1016/j.jsams.2013.05.001

Cited by 110 publications

(124 citation statements)

References 15 publications

Supporting

Mentioning

106

Contrasting

Unclassified

Order By: Relevance

“…contextual decisionmaking) and as such, are strategically able to place themselves in advantageous field positions; thus not having to exert themselves physically to remain within game play. Such a speculation is in agreement to that of previous research in AF, 11 noting winning AFL teams were characterised by a higher number of positive skill involvements and reduced physical match activity profiles in comparison to their loosing opposition. This draws the conclusion that perhaps more technically skilful AFL teams do not have to rely upon superior physical traits to perform at a high standard; a conclusion that appears to align itself with the current findings.…”

Section: Discussionsupporting

confidence: 92%

“…losing) counterparts. 11 However, when compared the depth of notational analytics undertaken by Champion Data © within the AFL, there are a limited number of technical skill variables reported by the aforementioned commercial statistical provider throughout the National U18 AFL Championships given a reduction in resource availability.…”

Section: Introductionmentioning

confidence: 99%

“…However, given that little is actually known surrounding the difference in match activity profiles of drafted and non-drafted U18 players, the aim of this study was to compare both the physical and technical skill in-game statistics of these player groups in an attempt to uncover the in-game variables most predictive of draft outcome. It is hypothesised based upon previous research in the AFL, 11 that drafted players would possess greater skill involvements when compared to their non-drafted counterparts, whilst the physical profiles of both player standards would not differ considerably.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

What are talent scouts actually identifying? Investigating the physical and technical skill match activity profiles of drafted and non-drafted U18 Australian footballers

Woods

Joyce

Robertson

2016

Journal of Science and Medicine in Sport

View full text Add to dashboard Cite

Objective: To compare the physical and technical skill match activity profiles of drafted and non-drafted under 18 (U18) Australian football (AF) players.Design: Cross-sectional observational.Methods: In-game physical and skill variables were assessed for U18 AF players participating within the 2013 and 2014 National U18 AFL Championships. Players originated from one State Academy (n = 55). Ten games were analysed; resulting in 183 observations. Players were sub-divided into two groups; drafted / non-drafted. Microtechnology and a commercial statistical provider allowed the quantification of total distance (m), relative distance (m.min -1 ), high speed running distance (> 15km.hr -1 ), high speed running expressed as a percentage of total distance (% total), total disposals, marks, contested possessions, uncontested possessions, inside 50's and rebound 50's (n = 10). The effect size (d) of draft outcome on these criterion variables was calculated, with generalised estimating equations (GEE's) used to model which of these criterion variables was associated with draft outcome.

show abstract

Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

What are talent scouts actually identifying? Investigating the physical and technical skill match activity profiles of drafted and non-drafted U18 Australian footballers

Woods

Joyce

Robertson

2016

Journal of Science and Medicine in Sport

View full text Add to dashboard Cite

show abstract

“…Here, RPE-L and RPE-B made large contributions to RPE-M, whereas the contribution of RPE-T was small; thereby supporting recent observations that AFL is a physically and technically demanding team sport. 12,13,21 As such, we support the use of RPE as a global measure of internal match intensity but advocate the use of differential RPE to enhance our understanding of how different dimensions of exertion contribute to overall match exertion.…”

Section: Discussionmentioning

confidence: 80%

“…2 Professional Australian football (AFL) is a team sport characterized by a high-level of physical and tactical exertion. 12,13 The match performances of AFL players therefore provide an ideal vehicle for an investigation into the application of differential RPE during competitive team sport matches. Accordingly, the aim of our study was to examine the different dimensions of perceived exertion during AFL matches and to determine their association with external match load metrics.…”

Section: Introductionmentioning

confidence: 99%

The application of differential ratings of perceived exertion to Australian Football League matches

Weston¹,

Siegler²,

Bahnert³

et al. 2015

Journal of Science and Medicine in Sport

116

117

View full text Add to dashboard Cite

word count 253Text-only word count: 2904 Tables: 3 2 Abstract Objective: To investigate the application of differential ratings of perceived exertion for the examination of internal load during Australian Football League (AFL) matches. Number of references: 30 Number of Figures: 0 Number ofDesign: Single cohort, observational study. Methods:Using the centiMax rating of perceived exertion (RPE) scale, 26 professional AFL players provided ratings for match exertion (RPE-M), along with differential ratings for breathlessness (RPE-B), leg exertion (RPE-L), and technical demand (RPE-T) following 129 matches (5.0 ± 1.6 matches per player). Global positioning satellite (GPS) and accelerometer measures were also collected. Data were analysed using magnitude-based inferences.Results: RPE scores were 93.0  8.2 AU (RPE-M), 89.0  11.0 AU (RPE-B), 91.5  9.8 AU (RPE-L), and 87.0  10.0 AU (RPE-T). There was a most likely small difference between RPE-L and RPE-T (5.5%; 90% confidence limits 1.9%), a likely small difference between RPE-L and RPE-B (3.5%;1.5%) and a possibly small difference between RPE-B and RPE-T (1.9%; 1.9%). Within-player correlations between RPE and GPS measures were small for RPE-M (r=0.14-0.28), unclear to small for RPE-B (r=0.06-0.24) and unclear to moderate for RPE-L (r=0.06-0.37). Differential RPE's combined to explain 76% of the variance in RPE-M. For all RPE scores, within-player variability was moderate-high (typical error: 7.9-12.4%), and the thresholds for a likely between-match change were 8.8-13.7%. Conclusions:As differential RPE's represent distinct sensory inputs, the collection of these scores facilitate the interpretation of internal match loads and therefore represent a valuable addition to match data collection procedures. Moderate to high within-player variability should be considered when interpreting between-match changes in all RPE scores.

show abstract

Gold Standard or Fool’s Gold? The Efficacy of Displacement Variables as Indicators of Energy Expenditure in Team Sports

2015

View full text Add to dashboard Cite

Over recent decades, the use of player tracking technology to monitor physical work output has become established practice in many team sports. Early tracking systems were manual in nature, relying on subjective assessments and arbitrary classifications of movement intensity. Poor spatial and temporal resolution meant that only gross displacement measures could be used to infer energy demands. However, the advent and evolution of automated systems, with higher sampling rates and improved accuracy, have enabled data collection to occur on a mass scale, and served as a catalyst for extensive research into the demands of team sport activity, including comparisons between different groups of athletes, and the effects of various interventions on performance. The inherent assumption with this research is that, based on steady-state models where energy cost is independent of speed, total distance and average speed are indicative of the amount and rate of work done, respectively. This assumption could be justified if the activity was performed at a constant speed in a straight line. However, team sport movement involves continual changes in both speed and direction, both of which increase energy cost. Accordingly, new models have emerged that incorporate both speed and acceleration to determine metabolic power. This provides a more complete measure of energy expenditure in intermittent activity, and is potentially more suitable than displacement variables for research into the demands of team sports.

show abstract

Match score affects activity profile and skill performance in professional Australian Football players

Cited by 110 publications

References 15 publications

What are talent scouts actually identifying? Investigating the physical and technical skill match activity profiles of drafted and non-drafted U18 Australian footballers

What are talent scouts actually identifying? Investigating the physical and technical skill match activity profiles of drafted and non-drafted U18 Australian footballers

The application of differential ratings of perceived exertion to Australian Football League matches

Gold Standard or Fool’s Gold? The Efficacy of Displacement Variables as Indicators of Energy Expenditure in Team Sports

Contact Info

Product

Resources

About