Team numerical advantage in Australian rules football: A missing piece of the scoring puzzle? by Jeremy P Alexander, Timothy Bedin, Karl B Jackson, Sam Robertson

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Development of a Machine-Learning-Based Classifier for the Identification of Head and Body Impacts in Elite Level Australian Rules Football Players by Peter Goodin, Peter Goodin, Andrew J. Gardner, Andrew J. Gardner, Andrew J. Gardner, Nasim Dokani, Ben Nizette, Saeed Ahmadizadeh, Suzi Edwards, Suzi Edwards, Suzi Edwards, Grant L. Iverson, Grant L. Iverson, Grant L. Iverson, Grant L. Iverson, Grant L. Iverson

“…True negatives ranged from 95.65 to 96.83% in the test and rest sets, respectively.Discussion and conclusion: This study suggests the potential for high performing impact classification models to be used for Australian Rules Football and highlights the importance of frequencies <150 Hz for the identification of these impacts.…”
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Predicting successful draft outcome in Australian Rules football: Model sensitivity is superior in neural networks when compared to logistic regression. by Jacob Jennings, Jay C Perrett, Daniel W Wundersitz, Courtney J Sullivan, Stephen D Cousins, Michael I Kingsley

“…Physical testing, in-game movement and technical involvements were collected from 708 elite-junior Australian Rules football players during consecutive seasons. …”
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Quantifying congestion with player tracking data in Australian football. by Jeremy P Alexander, Karl B Jackson, Timothy Bedin, Matthew A Gloster, Sam Robertson

“…With 36 players on the field, congestion in Australian football is an important consideration in identifying passing capacity, assessing fan enjoyment, and evaluating the effect of rule changes. …”
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Multifactorial Benchmarking of Longitudinal Player Performance in the Australian Football League by Sam McIntosh, Sam McIntosh, Stephanie Kovalchik, Sam Robertson, Sam Robertson

“…This study aimed to develop a model to objectively benchmark professional Australian Rules football (AF) player performance based on age, experience, positional role and both draft type and round in the Australian Football League (AFL). …”
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Including a Technical Factor with Physical and In-Game Movement Factors Improves Model Sensitivity When Evaluating Draft Outcome in Elite-Junior Australian Rules Football by Jacob Jennings, Daniel Wundersitz, Courtney Sullivan, Stephen Cousins, Michael Kingsley

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Kick proficiency and skill adaptability increase from an Australian football small-sided game intervention by Nathan Bonney, Paul Larkin, Kevin Ball

“…This investigation is the first to explore the effect of a 4 week small-sided game (SSG) and traditional training intervention on player kick proficiency and player adaptability in Australian football. Twenty-two amateur Australian football players (mean ± SD; age 22.3 ± 2.46; height 182.4 ± 5.25; weight 82.1 ± 6.10; years playing senior amateur football 3.86 ± 3.09) were randomly selected into either a traditional training group (n = 11) or a SSG group (n = 11). …”
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Evaluating the influence of a constraint manipulation on technical, tactical and physical athlete behaviour by Ben Teune, Carl Woods, Alice Sweeting, Mathew Inness, Sam Robertson

“…This study presents methods to evaluate the interaction between technical, tactical and physical behaviours of professional Australian Football players during numerical advantage and disadvantage conditions within a small-sided game. …”
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Evaluating the influence of a constraint manipulation on technical, tactical and physical athlete behaviour. by Ben Teune, Carl Woods, Alice Sweeting, Mathew Inness, Sam Robertson

“…This study presents methods to evaluate the interaction between technical, tactical and physical behaviours of professional Australian Football players during numerical advantage and disadvantage conditions within a small-sided game. …”
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Temporal samples of visual information guides skilled interception by Sean Müller, Bradley Beseler, Khaya Morris-Binelli, Christopher Mesagno, Christopher Mesagno

“…Eleven skilled male Australian rules football athletes (Mage = 17.54, SD = 0.15) were recruited from an elite developmental pathway squad for a within-subject study. …”
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