PlayeRank evaluation framework

The problem of evaluating the performance of soccer players is attracting the interest of many companies and the scientific community, thanks to the availability of massive data capturing all the events generated during a match (e.g., tackles, passes, shots, etc.). PlayeRank is a data-driven framework that offers a principled multi-dimensional and role-aware evaluation of the performance of soccer players. PlayeRank significantly outperforms known algorithms for performance evaluation in soccer when evaluated on a dataset of players’ evaluations made by professional soccer scouts.

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Accessibility Both
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Availability On-Line
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CreationDate 2019-09-30 09:00
Creator Pappalardo, Luca,,
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Field/Scope of use Non-commercial only
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Owner Pappalardo, Luca,,
ProgrammingLanguage Python
RelatedPaper Luca Pappalardo, Paolo Cintia, Paolo Ferragina, Emanuele Massucco, Dino Pedreschi, and Fosca Giannotti. 2019. PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach. ACM Trans. Intell. Syst. Technol. 10, 5, Article 59 (September 2019), 27 pages. DOI:
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Sublicense rights Yes
Territory of use World Wide
ThematicCluster Human Mobility Analytics
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Author Pappalardo Luca
Maintainer Pappalardo Luca
Version 1
Last Updated 4 February 2020, 05:59 (CET)
Created 4 February 2020, 05:59 (CET)