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Multifactorial analysis of factors influencing elite australian football match outcomes: a machine learning approach Cover

Multifactorial analysis of factors influencing elite australian football match outcomes: a machine learning approach

International Journal of Computer Science in Sport
Volume 18 (2019): Issue 3 (December 2019)
By: J. Fahey-Gilmour,  B. Dawson,  P. Peeling,  J. Heasman and  B. Rogalski  
Open Access
|Dec 2019

Authors

J. Fahey-Gilmour

School of Human Sciences (Exercise and Sport Science), University of Western Australia, Perth, Australia
Western Australia Institute of Sport, Perth, Australia

B. Dawson

School of Human Sciences (Exercise and Sport Science), University of Western Australia, Perth, Australia

P. Peeling

School of Human Sciences (Exercise and Sport Science), University of Western Australia, Perth, Australia
Perth, Australia

J. Heasman

Western Australia Institute of Sport, Perth, Australia

B. Rogalski

Western Australia Institute of Sport, Perth, Australia
DOI: https://doi.org/10.2478/ijcss-2019-0020 | Journal eISSN: 1684-4769
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Language: English
Page range: 100 - 124
Published on: Dec 16, 2019
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
team rating,
player rating,
player availability,
game prediction,
machine learning
Related subjects:
Computer sciences,
Databases and data mining,
Computer sciences, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 2019 J. Fahey-Gilmour, B. Dawson, P. Peeling, J. Heasman, B. Rogalski, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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