Match Analysis

How to Use Data in Professional Sport
1. Auflage 2021
ISBN: 978-0-367-75093-0
Verlag: Routledge

Buch, Englisch, 296 Seiten, Format (B × H): 174 mm x 246 mm, Gewicht: 535 g

Match analysis is a performance-diagnostic procedure, which can be used to carry out systematic gaming analysis during competition and training. The analysis of team and racket sports, whether in competition, for opponent preparation (match plan), follow-up, or training is nowadays indispensable in many sports games at different levels.

This analysis nevertheless presents many open questions and problem areas: Which data should be used? Who manages the data? Who provides whom with which information? How is this information presented, digested, and applied? The more complex and anonymous the data management is, the more commercial, expensive, and uncontrollable information management and provision becomes.

Match Analysis: How to Use Data in Professional Sport is the first book to examine this topic through three types of data sets; video, event, and position data and show how to interpret this data and apply the findings for better team and individual sport performance.

This innovative new volume is key reading for researchers, students, and practitioners alike in the fields of Coaching, Performance Analysis, Sport Management, and related specific sport disciplines.

Zielgruppe

General, Professional, and Undergraduate

Autoren/Hrsg.

Memmert, Daniel

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizin, Gesundheit: Sachbuch, Ratgeber
• Sozialwissenschaften Sport | Tourismus | Freizeit Sport Sport, Sportwissenschaft: Allgemeines

Inhaltsverzeichnis

1. Match Analysis in 2020

2. History of Match Analysis

3. Match Analysis in Practice: Football

4. Match Analysis in Practice: Beach Volleyball

Part 1: Match Analysis on the Basis of Video Data

5. Match Analysis in American Football

6. Match Analysis in Basketball

7. Match Analysis in Cricket

8. Match Analysis in Field Hockey

9. Opponent Analysis in Football

10. Visual Exploratory Scanning in Football

11. Match Analysis in Ice Hockey

12. Match Analysis in Rugby

13. Match Analysis in Squash

14. Match Analysis in Table Tennis

15. Match Analysis in Team Handball

16. Match Analysis in Tennis

17. Match Analysis in Volleyball

Part 2: Match Analysis on the Basis of Event Data

18. KPIs

19. Scouting

20. Normalizing Kpi’s Based on Possession

Part 3: Match Analysis on the Basis of Position Data

21. Model-Based Performance Analysis in Football

22. Tactical KPIs in Football

23. Physiological KPIs

24. KPI: Collective Behavior in Football

25. Applying Machine Learning in Football: The Identification of Counterpressing in Football

26. KPI in the German Bundesliga

27. Communication of Match Analysis

28. Limits of Match Analysis

29. Match Analysis in 2030

Über Autor(innen)

Daniel Memmert is Professor and Executive Head of the Institute of Exercise Training and Sport Informatics at the German Sport University Cologne, Germany, with a visiting assistant professorship 2014 at the University of Vienna (Austria). His awarded research is focused on human movement science, sport psychology, and computer science in sports. According to a publicly accessible database of the world's top 100,000 scientists (https://data.mendeley.com/datasets/btchxktzyw/2), he ranks first in Germany in the field of "Sport Science". He has received more than €7 million in external funding from research councils, has an H-index of 51 (i10-Index 149), has authored or co-authored more than 200 peer-reviewed publications, 20 books, and 30 book chapters, and has given more than 100 invited talks, 100 scientific talks on conferences, and more than 200 teaching courses for PE teachers and trainers.