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Exploring spatio-temporal soccer events using public event data

Software
Publication Date:
2020
abstract:
Software for the exploration of an open collection of soccer-logs described in the following paper: (PCR2019) Pappalardo, L., Cintia, P., Rossi, A. et al. A public data set of spatio-temporal match events in soccer competitions. Nature Scientific Data 6, 236 (2019). https://doi.org/10.1038/s41597-019-0247-7
Iris type:
05.11 Software
Keywords:
soccer analytics; sports analytics; data science; open data; soccer-logs
List of contributors:
Pappalardo, Luca
Authors of the University:
PAPPALARDO LUCA
Handle:
https://iris.cnr.it/handle/20.500.14243/406580
  • Overview

Overview

URL

https://github.com/Friends-of-Tracking-Data-FoTD/mapping-match-events-in-Python
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