Exploring spatio-temporal events using public soccer-logs

All the material of this tutorial can be found in:

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

The data used in the notebook can be found in:

• Pappalardo, Luca; Massucco, Emanuele (2019): Soccer match event dataset. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.4415000.v5

A detailed description of the data can be found in the following paper (please cite it if you use the data or the following code):

• Pappalardo, L., Cintia, P., Rossi, A. et al. A public data set of spatio-temporal match events in soccer competitions. Scientific Data 6, 236 (2019) doi:10.1038/s41597-019-0247-7, https://www.nature.com/articles/s41597-019-0247-7

To know more

Watch the videos on the Friends of Tracking Youtube channel: https://www.youtube.com/channel/UCUBFJYcag8j2rm_9HkrrA7w

Outline of the notebook

1. Import libraries
2. Load public datasets
3. How are the data collected?
4. Structure of data
   1. Players
   2. Competitions
   3. Matches
   4. Events
5. Basic statistics on events
   1. Frequency of events by type
   2. Distribution of number of events per match
6. Plot events on the field
   1. Static plot
   2. Interactive plot
7. Spatial distribution of events
8. Intra-match evolution
9. Advanced statistics
   1. Passing networks
   2. Flow centrality