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Analyzing passing networks in association football based on the difficulty, risk, and potential of passes

Open Access
|Dec 2019

Authors

A.S. Wiig

Department of Industrial Economics and Technology Management, NTNU, Trondheim, Norway

E.M. Håland

Department of Industrial Economics and Technology Management, NTNU, Trondheim, Norway

M. Stålhane

Department of Industrial Economics and Technology Management, NTNU, Trondheim, Norway

L.M. Hvattum

Faculty of Logistics, Molde University College, Molde, Norway
Language: English
Page range: 44 - 68
Published on: Dec 16, 2019
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year

© 2019 A.S. Wiig, E.M. Håland, M. Stålhane, L.M. Hvattum, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.