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Identifying Player ...
Identifying Player Roles in Ice Hockey
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- Säfvenberg, Rasmus, 1998- (författare)
- Linköpings universitet,Databas och informationsteknik,Tekniska fakulteten
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- Carlsson, Niklas, 1977- (författare)
- Linköpings universitet,Databas och informationsteknik,Tekniska fakulteten,IDA/ADIT
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- Lambrix, Patrick, Professor, 1965- (författare)
- Linköpings universitet,Databas och informationsteknik,Tekniska fakulteten,IDA/ADIT
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(creator_code:org_t)
- Springer Nature Switzerland, 2024
- 2024
- Engelska.
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Ingår i: Machine Learning and Data Mining for Sports Analytics. - : Springer Nature Switzerland. - 9783031538322 - 9783031538339 ; , s. 131-143
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Understanding the role of a particular player, or set of players, in a team is an important tool for players, scouts, and managers, as it can improve training, game adjustments and team construction. In this paper, we propose a probabilistic method for quantifying player roles in ice hockey that allows for a player to belong to different roles with some probability. Using data from the 2021–2022 NHL season, we analyze and group players into clusters. We show the use of the clusters by an examination of the relationship between player role and contract, as well as between role distribution in a team and team success in terms of reaching the playoffs.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- sports analytics
- ice hockey
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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