Data Analytics in Football - Positional Data Collection, Modelling and Analysis

Data Analytics in Football provides students, researchers and coaches with a firm grounding in the principles of modern performance analysis. It offers an insight into the use of positional data, exploring how it can be collected, modelled, analysed and interpreted.

Sommario

1. Where Is the Revolution?
2. A Historical Perspective on Positional Data
3. Technological Background
4. Collecting Data in the Bundesliga
5. In Search of the Holy Grail
6. Betting and Sports Analytics
7. Match Intensity
8. From Media to Storytelling
9. Key Properties of Long-Term Success in Football
10. The Key to Success
11. Reasons For Dominance
12. FCB Versus FCB
13. Home Advantage
14. Managerial Influence
15. All on Attack
16. Laws of a Derby
17. Women Vs. Men – Draw in Tactical Performance
18. Experimental Tactics Research
19. Positional Data Meet Sport Psychology
20. Summary

Info autore

Daniel Memmert is Professor and Executive Head of the Institute of Exercise Training and and Sports Informatics at the German Sport University Cologne, Germany. His scientific work focuses on movement science, sports psychology, and computer science in sports. The institute cooperates with various Bundesliga football teams and DAX companies, and it has organized the first international master's degree course in match analysis and the certificate "Technical Sports Director of Youth Performance Soccer and Amateur Soccer".
Dominik Raabe is Ph.D. student at the German Sport University Cologne, Germany. He holds a Bachelor of Science degree in Cognitive Science from the University of Osnabrück, Germany, and a Master of Science degree in Scientific Computing from the Technical University of Berlin, Germany. He is consulting elite level sports organizations around the globe.

Riassunto

Data Analytics in Football provides students, researchers and coaches with a firm grounding in the principles of modern performance analysis. It offers an insight into the use of positional data, exploring how it can be collected, modelled, analysed and interpreted.

Dettagli sul prodotto

• Autori: Daniel Memmert, Daniel (German Sport University Cologne Memmert, Daniel Raabe Memmert, Memmert Daniel, Dominik Raabe
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 22.12.2023
• EAN: 9781032532493
• ISBN: 978-1-0-3253249-3
• Pagine: 162
• Categorie: Guide e manuali > Sport > Sport di palla; Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Tematiche generali, enciclopedie; SPORTS & RECREATION / Soccer, SPORTS & RECREATION / Coaching / Soccer, COMPUTERS / Computer Science, Sports training & coaching, Football (Soccer, Association football), Association football (Soccer), Information technology: general issues, Sports training and coaching, Applied computing, COMPUTERS / Data Science / Data Visualization, COMPUTERS / Database Administration & Management, Data capture and analysis, Data Capture & Analysis