2021-10-01, 10:30–11:00, Córdoba
For more than 20 years, many professional football (soccer) clubs have been interested in data to analyse their team performances in order to be as competitive as possible. The amount of data being acquired has increased significantly in the last few years and new metrics are emerging regularly.
Some companies like Statsbomb or Opta are specialized in football data acquisition. They opened a part of their API, giving everyone the chance to create awesome visualisations or to prove that their favourite team is the best... This data is now used by analysts, technical staff of teams, medias and even fans.
As football is a game defined in a specific space (the pitch) and time (90 minutes), we can use GIS to analyse tracking and event data.
The purpose of this talk is to show that these spatio-temporal data can be imported into QGIS, thanks to the new QSoccer plugin. We could then exploit the different QGIS and PostGIS facilities so as to understand what is going on in a match.
Bibliography : * https://gitlab.com/Oslandia/qgis/QSoccer * Van Hoeve, L. T. (2017). “Geovisual football analytics: towards the development of an interactive visual interface for football coaches, analysts and players (master’s thesis).” University of Utrecht, The Netherlands. * Van Hoeve, L. T. (2017). “How Geoinformation Enhances Professional Football.” https://www.gim-international.com/content/article/geovisual-football-analytics * Kotzbek, G., & Kainz, W. (2014). “Football Game Analysis: A New Application Area for Cartographers and GI-Scientists ?” Vol. 1 and Vol. 2 of the 5 th International Conference on Cartography and GIS. 15-21 June 2014, Riviera, Bulgaria, pp. 299-306. * Kotzbek, G., & Kainz, W. (2015). “GIS-Based Football Game Analysis – A Brief Introduction to the Applied Data Base and a Guideline on How to Utilise It” Proceedings of the 27th International Cartographic Conference, 2015, pp. 1-10.
Benoît Blanc (1)
Raphaël Delhome (1)
(1) Oslandia, FranceTrack –
Use cases & applicationsTopic –
Software/Project developmentLevel –
2 - Basic. General basic knowledge is required.Language of the Presentation –
GIS Developer at Oslandia since 2020.
I am mainly working on QWC2 (QGIS Web Client 2) which allows you to publish QGIS projects on the web.
I like football and enjoy discover new vizualisations done by data analysts in sports industry.