ABSTRACT

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.

part I|41 pages

Introduction

chapter 1|11 pages

Match Analysis in 2020

chapter 2|9 pages

History of Match Analysis

chapter 3|10 pages

Match Analysis in Practice

Football

chapter 4|9 pages

Match Analysis in Practice

Beach Volleyball

part II|113 pages

Match Analysis on the Basis of Video Data

chapter 9|10 pages

Opponent Analysis in Football

chapter 10|8 pages

Visual Scanning in Football

chapter 12|10 pages

Match Analysis in Rugby

chapter 13|8 pages

Match Analysis in Squash

chapter 15|7 pages

Match Analysis in Team Handball

chapter 16|10 pages

Match Analysis in Tennis

chapter 17|10 pages

Match Analysis in Volleyball

part III|30 pages

Match Analysis on the Basis of Event Data

part IV|59 pages

Match Analysis on the Basis of Position Data

chapter 23|8 pages

KPIs in the German Bundesliga

chapter 25|8 pages

Applying Machine Learning in Football

The Identification of Counterpressing in Football

chapter 26|8 pages

Physical KPIs

part V|32 pages

Outlook

chapter 27|10 pages

Communication of Match Analysis

chapter 28|9 pages

Limits of Match Analysis

chapter 29|11 pages

Match Analysis in 2030