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Match Analysis 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.
List of contents
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
About the author
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.
Summary
Match Analysis 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.
Additional text
"If you want to build a successful professional sports organization it is essential to pay attention to creating a winning culture. This includes the incorporation and integration of performance analytics and sports science data, which are invaluable tools for strategic competition preparation, game analysis, injury prevention and rehabilitation."
Don Smolenski, President, Philadelphia Football Eagles, Superbowl LII Champions
"As a professional squash player, I understand first-hand the importance of science and cognitive paradigms involved in world-class sports. If your goal is to be the best, you will have to check out the book on Match Analysis in order to appreciate systematic gaming analysis during competition and practice."
Amanda Sobhy, Professional Squash Player (# 1 USA, # 5 World Ranking)
"A unique overview of the very latest theoretical and methodological analysis possibilities of the identification of complex patterns and relationships associated with successful performance in 13 kinds of sport."
Raul Pelaez Blanco, Sports Analysis, Innovation & Technology Manager, Football Club FC Barcelona
"Especially as a former national coach, I know what extremely significant potential a professional match analysis has in performance soccer. The present book is the first to describe fundamental, novel and complex content in a simple and target-oriented way, not only in soccer."
Jürgen Klinsmann
