liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Age of Peak Performance Among Soccer Players in Sweden
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, The Division of Statistics and Machine Learning. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0001-9385-5443
Football Analytics Sweden AB, Stockholm, Sweden.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-1367-1594
Show others and affiliations
2024 (English)In: Sports Analytics, First International Conference ISACE 2024 / [ed] Jin Song Dong, Masoumeh Izadi, Zhe Hou, Cham: Springer Nature Switzerland , 2024, Vol. 14794, p. 278-290Conference paper, Published paper (Refereed)
Abstract [en]

Performance and age have an intertwined relationship in soccer. However, despite the sport’s popularity and the great value of insight into this topic to decision-making personnel, this is a fairly unexplored topic, particularly for lower-ranked leagues. In this paper, we use a novel performance metric to investigate the peak age among soccer players in Sweden for goalkeepers, defenders, midfielders, and forwards. Each playing position is analyzed separately using univariate and bivariate methods and is also modeled by a hierarchical Bayesian model with player-specific age trajectories.

Place, publisher, year, edition, pages
Cham: Springer Nature Switzerland , 2024. Vol. 14794, p. 278-290
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 14794
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-207817DOI: 10.1007/978-3-031-69073-0_24ISI: 001340400500024ISBN: 9783031690723 (print)ISBN: 9783031690730 (electronic)OAI: oai:DiVA.org:liu-207817DiVA, id: diva2:1900771
Conference
The First International Sports Analytics Conference and Exhibition (ISACE 2024), July 12-13, 2024, Paris, France.
Available from: 2024-09-25 Created: 2024-09-25 Last updated: 2024-12-04Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Säfvenberg, RasmusNordgaard, AndersCarlsson, NiklasLambrix, Patrick

Search in DiVA

By author/editor
Säfvenberg, RasmusNordgaard, AndersCarlsson, NiklasLambrix, Patrick
By organisation
Database and information techniquesFaculty of Science & EngineeringThe Division of Statistics and Machine LearningFaculty of Arts and Sciences
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 415 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf