2019
Journal article  Open Access

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

Pappalardo L., Cintia P., Rossi A., Massucco E., Ferragina P., Pedreschi D., Giannotti F.

Medical research  Football analytics  Library and Information Sciences  Data science  Information Systems  Data Descriptor  Statistics  Information technology  Computer Science Applications  Education  Network analysis  Big data  Statistics and Probability  Sports Analytics  Interdisciplinary studies  Probability and Uncertainty  Soccer analytics 

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.

Source: Scientific data 6 (2019): 236. doi:10.1038/s41597-019-0247-7

Publisher: Nature Publishing Group, London, Regno Unito


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BibTeX entry
@article{oai:it.cnr:prodotti:412387,
	title = {A public data set of spatio-temporal match events in soccer competitions},
	author = {Pappalardo L. and Cintia P. and Rossi A. and Massucco E. and Ferragina P. and Pedreschi D. and Giannotti F.},
	publisher = {Nature Publishing Group, London, Regno Unito},
	doi = {10.1038/s41597-019-0247-7},
	journal = {Scientific data},
	volume = {6},
	pages = {236},
	year = {2019}
}