Predicting successful draft outcome in Australian Rules football: Model sensitivity is superior in neural networks when compared to logistic regression.

Using logistic regression and neural networks, the aim of this study was to compare model performance when predicting player draft outcome during the 2021 AFL National Draft. Physical testing, in-game movement and technical involvements were collected from 708 elite-junior Australian Rules football players during consecutive seasons. Predictive models were generated using data from 465 players (2017 to 2020).

Position-Specific Running and Technical Demands During Male Elite-Junior and Elite-Senior Australian Rules Football Match-Play.

Jennings, J, Štaka, Z, Wundersitz, DW, Sullivan, CJ, Cousins, SD, Čustović, E, and Kingsley, MI. Position-specific running and technical demands during male elite-junior and elite-senior Australian rules football match-play. J Strength Cond Res 37(7): 1449-1455, 2023-The aim of this study was to compare position-specific running and technical demands of elite-junior and elite-senior Australian rules football match-play to better inform practice and assist transition between the levels.

Contextual Factors Influencing Physical Activity and Technical Performance in Australian Football League Women's Competition Match-Play.

Leabeater, A, Clarke, A, and Sullivan, C. Contextual factors influencing physical activity and technical performance in AFLW competition match-play. J Strength Cond Res 37(1): 194-199, 2023-The purpose of this study was to examine the influence of contextual factors on physical activity and technical match performance during Australian Football League Women's (AFLW) competition match-play.

The AFLW draft combine: Seasonal changes and relationships to draft success.

This study aimed to identify seasonal changes in AFLW Draft Combine assessments, examine the physical and anthropometric assessments associated with draft outcome and investigate the presence of a relative age effect. Three seasons (2017-2019) of the AFLW Draft Combine assessment data were obtained ( = 131). Testing data between seasons were examined using a MANOVA.

Physical testing characteristics better explain draft outcome than in-game movement profile in junior elite Australian rules football players.

Objectives: The aim of this study was to investigate the extent to which Australian Football League (AFL) draft outcome is associated with physical performance and/or in-game movement profile.

Design: Observational cohort design.

Methods: Physical testing results and in-game global positioning system (GPS) data were collated from Victorian-based, draft-eligible participants in the under 18 boys NAB League competition (n = 450; age = 17.

Training periodization of professional Australian football players during an entire Australian Football League season.

Purpose: To examine the training periodization of an elite Australian Football team during different phases of the season.

Methods: Training-load data were collected during 22 wk of preseason and 23 wk of in-season training. Training load was measured using the session rating of perceived exertion (session-RPE) for all training sessions and matches from 44 professional Australian Football players from the same team.