@inproceedings{9337e864e4d84fb18294debd2375b178,
title = "Kick It to Me, or Maybe Not – How Player Roles Affect AFL Possessions",
abstract = "This study investigates the influence of different player roles on possession events in Australian Rules Football by applying natural language processing techniques. Possession events, represented as vectors, were optimized using the novel technique of cosine similarity using a skip-gram neural network, and then applied to identify the optimal player for a kick or a handball at different locations on the field. The results showcase preferred possession order by player roles in all AFL field zones to optimize the likelihood of scoring and minimize the likelihood of turnover.",
keywords = "Cosine similarity, Data analytics, Machine learning, Natural language processing, AUSTRALIAN RULES FOOTBALL",
author = "Zachery Born and Jason Weber and Ajmal Mian and Jacqueline Alderson",
year = "2022",
doi = "10.1007/978-3-030-99333-7_4",
language = "English",
isbn = "9783030993320",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer International Publishing AG",
booktitle = "Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference",
address = "Switzerland",
note = "9th International Performance Analysis Workshop and Conference / 5th International Conference of Computer Science in Sports Conference (PACSS) ; Conference date: 30-08-2021 Through 31-08-2021",
}