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Player Valuation in European Football
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering. (IDA/ADIT)ORCID iD: 0000-0002-9084-0470
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering. (IDA/ADIT)
2019 (English)In: Proceedings of the 5th Workshop on Machine Learning and Data Mining for Sports Analytics: co-located with 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2018) / [ed] Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann, Cham: Springer, 2019, Vol. 11330, p. 42-54Conference paper, Published paper (Refereed)
Abstract [en]

As the success of a team depends on the performance of individual players, the valuation of player performance has become an important research topic. In this paper, we compare and contrast which attributes and skills best predict the success of individual players in their positions in five European top football leagues. Further, we evaluate different machine learning algorithms regarding prediction performance. Our results highlight features distinguishing top-tier players and show that prediction performance is higher for forwards than for other positions, suggesting that equally good prediction of defensive players may require more advanced metrics.

Place, publisher, year, edition, pages
Cham: Springer, 2019. Vol. 11330, p. 42-54
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11330
Keywords [en]
Sports analytics, football, soccer
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-153594DOI: 10.1007/978-3-030-17274-9_4ISBN: 9783030172732 (print)ISBN: 9783030172749 (electronic)OAI: oai:DiVA.org:liu-153594DiVA, id: diva2:1273884
Conference
5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings
Available from: 2018-12-22 Created: 2018-12-22 Last updated: 2019-06-25Bibliographically approved

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Player Valuation in European Football(390 kB)32 downloads
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Nsolo, EdwardLambrix, PatrickCarlsson, Niklas

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Citation style
  • apa
  • harvard1
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Language
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  • en-GB
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Output format
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