Publication

Smart data scouting in professional soccer: Evaluating passing performance based on position tracking data

Kempe, M., Goes, F. R. & Lemmink, K. A. P. M., 24-Dec-2018, Proceedings - IEEE 14th International Conference on eScience, e-Science 2018. Institute of Electrical and Electronics Engineers Inc., p. 409-410 2 p. 8588745

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Documents

  • Smart Data Scouting in Professional Soccer

    Final publisher's version, 215 KB, PDF document

DOI

Sports analytics in general and soccer analytics, in particular, have evolved in recent years due to the increased availability of large data amounts of (tracking) data. Especially in terms of evaluating tactical behavior, data science could change the way we think about soccer. In this study, we evaluate passing performance in soccer to prove the hypothesis that tactical behavior in team sports can be analyzed based exclusively on tracking data. To prove this point, we explore the relationship between changes in spatiotemporal variables in relation to passing and key performance indicators. Based on our results that demonstrate the ability of spatiotemporal variables to predict pass accuracy and key performances indicators on an individual level, we confirmed our hypothesis. Furthermore, we calculated a simple composite performance indicator to evaluate passes and players based on tracking data. In conclusion, our results can be used as an approach for real-time evaluation of tactical behavior and as a new method to scout and evaluate players in soccer and team sports in general.

Original languageEnglish
Title of host publicationProceedings - IEEE 14th International Conference on eScience, e-Science 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages409-410
Number of pages2
ISBN (Electronic)9781538691564
Publication statusPublished - 24-Dec-2018
Event14th IEEE International Conference on eScience, e-Science 2018 - Amsterdam, Netherlands
Duration: 29-Oct-20181-Nov-2018

Conference

Conference14th IEEE International Conference on eScience, e-Science 2018
CountryNetherlands
CityAmsterdam
Period29/10/201801/11/2018

Event

14th IEEE International Conference on eScience, e-Science 2018

29/10/201801/11/2018

Amsterdam, Netherlands

Event: Conference

    Keywords

  • Big data, Football, Hypothesis testing, Machine learning, Performance indicators

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