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  • Nsolo, Edward, 1988-, et al. (author)
  • Player Valuation in European Football
  • 2019
  • In: Proceedings of the 5th Workshop on Machine Learning and Data Mining for Sports Analytics. - Cham : Springer. - 9783030172732 - 9783030172749 ; , s. 42-54
  • Conference paper (peer-reviewed)abstract
    • 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.
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Type of publication
conference paper (1)
Type of content
peer-reviewed (1)
Author/Editor
Carlsson, Niklas, 19 ... (1)
Lambrix, Patrick, Pr ... (1)
Nsolo, Edward, 1988- (1)
University
Linköping University (1)
Language
English (1)
Research subject (UKÄ/SCB)
Natural sciences (1)
Year
2019 (1)

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