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Assessing the Performances of Soccer Players

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Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019) (IACSS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1028))

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Abstract

A key question within sports analytics is how to analyze match data in order to objectively assess a player’s performance during a match. This paper summarizes our recent attempts to address this question for soccer. First, we look at how to assign a value to each on-the-ball action a soccer player performs during a match. Second, we explore how these values depend on the level of mental pressure that the player experienced when performing the action. We conclude by briefly highlighting some potential applications of this work.

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Notes

  1. 1.

    http://www.espn.com/espn/feature/story/_/id/12331388/the-great-analytics-rankings.

  2. 2.

    Ignoring issues like overall goal difference as a tie breaker.

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Acknowledgements

Jesse Davis is partially supported by the EU Interreg VA project Nano4Sports and the KU Leuven Research Fund (C14/17/07, C32/17/036). Tom Decroos is supported by Research Foundation-Flanders (FWO-Vlaanderen). Pieter Robberechts is supported by the EU Interreg VA project Nano4Sports.

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Authors and Affiliations

  1. Department of Computer Science, KU Leuven, Leuven, Belgium

    Jesse Davis, Tom Decroos & Pieter Robberechts

  2. SciSports, Amersfoort, The Netherlands

    Lotte Bransen & Jan Van Haaren

Authors
  1. Jesse Davis
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  2. Lotte Bransen
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  3. Tom Decroos
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  4. Pieter Robberechts
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  5. Jan Van Haaren
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Corresponding author

Correspondence to Jesse Davis .

Editor information

Editors and Affiliations

  1. Faculty of Sports and Health Sciences, Technical University Munich, Munich, Bayern, Germany

    Martin Lames

  2. Marchuk Institute of Numerical Mathematics, Russian Academy of Science, Moscow, Russia

    Alexander Danilov

  3. Moscow Centre for Advanced Sports Technology, Moscow, Russia

    Egor Timme

  4. Marchuk Institute of Numerical Mathematics, Russian Academy of Science, Moscow, Russia

    Yuri Vassilevski

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Davis, J., Bransen, L., Decroos, T., Robberechts, P., Van Haaren, J. (2020). Assessing the Performances of Soccer Players. In: Lames, M., Danilov, A., Timme, E., Vassilevski, Y. (eds) Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019). IACSS 2019. Advances in Intelligent Systems and Computing, vol 1028. Springer, Cham. https://doi.org/10.1007/978-3-030-35048-2_1

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