Match Analysis

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advanced sports data evaluation
American Football
Ball Contact
basketball
Beach Volleyball
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collective behavior modeling
communication tools
cricket
English Premier League
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Field Hockey
Football Game
Free Throws
Game Observation
General Activity Profiles
German Bundesliga
ice hockey
machine learning
Match Analysis
Match Analysis Data
Match Analyst
match events data
Ml
model-based performance analysis
Notational Analysis
opponent analysis
opponent scouting techniques
Pass Success Rates
Performance Diagnostic
physiological key performance indicators
Position Data
Position Specific Differences
professional sport
Racket Sports
rugby
Small Sided Games
Space Control
sports performance analytics
squash
Supervised Machine Learning
Systematic Match Analyses
table tennis
tactical data interpretation
team handball
Vice Versa
video data
video-based sports analysis
visual scanning

Product details

  • ISBN 9780367750947
  • Weight: 453g
  • Dimensions: 174 x 246mm
  • Publication Date: 15 Nov 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

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.