A public data set of spatio-temporal match events in soccer competitions

Soccer analytics is attracting increasing interest in academia and industry, thanks to the availability of sensing technologies that provide high-fidelity data streams for every match. Unfortunately, these detailed data are owned by specialized companies and hence are rarely publicly available for scientific research. To fill this gap, this paper describes the largest open collection of soccer-logs ever released, containing all the spatio-temporal events (passes, shots, fouls, etc.) that occured during each match for an entire season of seven prominent soccer competitions. Each match event contains information about its position, time, outcome, player and characteristics. The nature of team sports like soccer, halfway between the abstraction of a game and the reality of complex social systems, combined with the unique size and composition of this dataset, provide an ideal ground for tackling a wide range of data science problems, including the measurement and evaluation of performance, both at individual and at collective level, and the determinants of success and failure.

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Personal Data Attributes

Description: Personal Data related Information

Field Value
ChildrenData No
Personal Data No
Personal data was manifestly made public by the data subject Yes
Sensitive Data No
Additional Info
Field Value
Accessibility Both
Accessibility Mode OnLine Access
Accessibility Mode API Access
Accessibility Mode Download
Availability On-Line
Basic rights Download
Consent obtained also covers the envisaged transfer of the personal data outside the EU N/A (Not appliable)
Consent of the data subject N/A (Not appliable)
Creation Date 2019-10-28 14:00
Creator Pappalardo, Luca,,
DataProtectionDirective none
External Identifier
Field/Scope of use Non-commercial only
Group Health Studies
Language eng, English
Manifestation Type Virtual
Processing Degree Primary
RelatedPaper Pappalardo, L., Cintia, P., Rossi, A. et al. A public data set of spatio-temporal match events in soccer competitions. Sci Data 6, 236 (2019) doi:10.1038/s41597-019-0247-7,
SoBigData Node SoBigData EU
Sublicense rights No
Territory of use World Wide
Thematic Cluster Visual Analytics [VA]
TimeCoverage 2016-05-01 14:00/2018-12-31 14:00
system:type Dataset
Management Info
Field Value
Author Pappalardo Luca
Maintainer Pappalardo Luca
Version 1
Last Updated 21 October 2023, 08:46 (CEST)
Created 9 December 2019, 14:58 (CET)