A Dimension Reduction Approach to Player Rankings in European Football

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Date

2021-08-24

Author

Aydemir, Ayşe Elvan
Taşkaya Temizel, Tuğba
Temizel, Alptekin
Preshlenov, Kliment
Strahinov, Daniel

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Player performance evaluation is a challenging problem with multiple dimensions. Football (soccer) is the largest sports industry in terms of monetary value and it is paramount that teams can assess the performance of players for both financial and operational reasons. However, this is a difficult task, not only because performance differs from position to position, but also it is based on competition, time played and team play-styles. Because of this, raw player statistics are not comparable across players and must be processed to facilitate a fair performance evaluation. Furthermore, teams may have different requirements and a generic player performance evaluation does not directly serve the particular expectations of different clubs. In this study, we provide a generic framework for estimating player performance and performing player-fit-to-criteria assessment, under different objectives, for left and right backs from competitions worldwide. The results show that the players who have ranked high have increased their transfer values and they have moved to suitable teams. Global nature of the proposed methodology expands the analyzed player pool, facilitating the search for outstanding players from all available competitions.

Subject Keywords

Player ranking, Player performance, Football analytics, Sports analytics

URI

https://hdl.handle.net/11511/91939

Journal

IEEE Access

DOI

https://doi.org/10.1109/access.2021.3107585

Collections

Graduate School of Informatics, Article

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Citation Formats

A. E. Aydemir, T. Taşkaya Temizel, A. Temizel, K. Preshlenov, and D. Strahinov, “A Dimension Reduction Approach to Player Rankings in European Football,” IEEE Access, vol. 9, pp. 119503–119519, 2021, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/91939.