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The Importance of Special Teams in Ice Hockey
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
Dalarna University, Sweden.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering. (IDA/ADIT)ORCID iD: 0000-0003-1367-1594
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
2023 (English)In: Proceedings of the Linköping Hockey Analytics Conference LINHAC 2023 Research Track / [ed] Tim Brecht, Niklas Carlsson, Mikael Vernblom, Patrick Lambrix, Linköping, Sweden: Linköping University Electronic Press, 2023, p. 53-65Conference paper, Published paper (Refereed)
Abstract [en]

This paper explores the significance of special teams, particularly powerplay, in ice hockey. Despite the commonly held perception of their importance, little research has examined the impact of powerplay and penalty kill performance on overall team success. The paper uses several seasons of NHL data to characterize goal-scoring and manpower opportunities, and perform analysis from several perspectives. The results indicate that individual even strength goals and powerplay goals have similar value, but the larger share of even strength goals scored over a season makes even strength play a more important contributor to team success. The paper also finds a high correlation between teams that perform above/below average during even strength and powerplay. This study provides insights into the dynamics of ice hockey gameplay and the role of special teams in determining team success.

Place, publisher, year, edition, pages
Linköping, Sweden: Linköping University Electronic Press, 2023. p. 53-65
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740 ; 201
Keywords [en]
Sports Analytics, Ice hockey analytics
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-197747DOI: 10.3384/ecp201.5OAI: oai:DiVA.org:liu-197747DiVA, id: diva2:1796444
Conference
Linköping Hockey Analytics Conference LINHAC 2023, June 7-9, 2023
Available from: 2023-09-12 Created: 2023-09-12 Last updated: 2023-09-22Bibliographically approved

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Publisher's full texthttps://doi.org/10.3384/ecp201.5

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Säfvenberg, RasmusCarlsson, NiklasLambrix, Patrick

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  • apa
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Output format
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