Identifying key players in soccer teams using network analysis and pass difficulty

McHale, IG and Relton, SD orcid.org/0000-0003-0634-4587 (2018) Identifying key players in soccer teams using network analysis and pass difficulty. European Journal of Operational Research, 268 (1). pp. 339-347. ISSN 0377-2217

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Copyright, Publisher and Additional Information: Copyright (c) 2018 Elsevier B. V. All rights reserved. This is an author produced version of a paper published in European Journal of Operational Research. Uploaded in accordance with the publisher's self-archiving policyCrown Copyright © 2019 Published by Elsevier B.V. This is an author produced version of a paper published in Journal of Hydrology. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Sport; Big data; Football; Moneyball; Random effects
Dates:
  • Published: 1 July 2018
  • Accepted: 8 January 2018
  • Published (online): 31 January 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 15 Aug 2018 08:12
Last Modified: 28 Feb 2019 10:04
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.ejor.2018.01.018

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Filename: 1-s2.0-S0377221718300365-main.pdf

Licence: CC-BY-NC-ND 4.0

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