Data analytics in the football industry: a survey investigating operational frameworks and practices in professional clubs and national federations from around the world-Reference-Cited by-同舟云学术

Data analytics in the football industry: a survey investigating operational frameworks and practices in professional clubs and national federations from around the world

Published:2024-05-14 Issue: Volume: Page:1-10
ISSN:2473-3938
Container-title:Science and Medicine in Football
language:en
Short-container-title:Science and Medicine in Football

Author:

Lolli Lorenzo¹²,Bauer Pascal³⁴,Irving Callum⁵,Bonanno Daniele¹,Höner Oliver⁴,Gregson Warren²,Di Salvo Valter¹⁶

Affiliation:

1. Football Performance & Science Department, Aspire Academy, Doha, Qatar

2. Department of Sport and Exercise Sciences, Institute of Sport, Manchester Metropolitan University, Manchester, UK

3. DFB-Akademie, Deutscher Fußball-Bund e.V. (DFB), Frankfurt, Germany

4. Institute of Sports Science, Eberhard Karls University of Tübingen, Tübingen, Germany

5. FIFA High Performance, Football Performance Analytics and Insights, Zürich, Switzerland

6. Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, Rome, Italy

Funder

no funding

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/24733938.2024.2341837

Reference31 articles.

1. Alamar BC. 2013. Sports analytics: a guide for coaches, managers, and other decision makers. New York Chichester, West Sussex: Columbia University Press.

2. Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis if We Don’t Expect Replication

3. A Goal Scoring Probability Model for Shots Based on Synchronized Positional and Event Data in Football (Soccer)

4. A framework for effective knowledge translation and performance delivery of Sport Scientists in professional sport

5. Putting team formations in association football into context