Data Analytics in Football

Data Analytics in Football

Author: Daniel Memmert

Publisher: Routledge

ISBN: 9781351210140

Category: Sports & Recreation

Page: 174

View: 151

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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. Introducing cutting-edge methods, the book challenges long-held assumptions and encourages a new way of thinking about football analysis. Based on data collected from the German Bundesliga and the UEFA Champions League, the book seeks to define the role of positional data in football match analysis by exploring topics such as: What is positional data analysis and how did it emerge from conventional match analysis? How can positional data be collected and which technologies can be used? What are the benefits of a data-driven approach to decision making in football? What Key Performance Indicators based on positional data should be used? How can traditional match analysis be complemented by using positional data and advanced KPIs? How can these new methods evolve in the future? Accessibly written, packed full of examples from elite football and supplemented with expert interviews (Ralf Rangnick, Urs Siegenthaler and others), Data Analytics in Football is a thought-provoking, rigorously evidence-based guide to the use of data analytics in football performance analysis. As such, it is a vital resource for any student, researcher or coach interested in performance analysis and skill acquisition, or anyone interested in football more generally.
Data Analytics in Football
Language: un
Pages: 174
Authors: Daniel Memmert, Dominik Raabe
Categories: Sports & Recreation
Type: BOOK - Published: 2018-05-30 - Publisher: Routledge

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. Introducing cutting-edge methods, the book challenges long-held assumptions and encourages
Data Analytics in Professional Soccer
Language: un
Pages: 123
Authors: Daniel Link
Categories: Computers
Type: BOOK - Published: 2018-02-16 - Publisher: Springer

Daniel Link explores how data analytics can be used for studying performance in soccer. Based on spatiotemporal data from the German Bundesliga, the six individual studies in this book present innovative mathematical approaches for game analysis and player assessment. The findings can support coaches and analysts to improve performance of
Data Analytics in Football
Language: un
Pages: 180
Authors: Daniel Memmert, Dominik Raabe
Categories: Sports & Recreation
Type: BOOK - Published: 2018-06 - Publisher:

Data Analytics in Footballprovides 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 they can be collected, modelled, analysed and interpreted. Introducing cutting-edge methods, the book challenges long-held assumptions and encourages a
Big Data Event Analytics in Football for Tactical Decision Support
Language: un
Pages:
Authors: Pavlina Kröckel
Categories: Sports & Recreation
Type: BOOK - Published: 2019 - Publisher:

Books about Big Data Event Analytics in Football for Tactical Decision Support
Data Analytics in Marketing, Entrepreneurship, and Innovation
Language: en
Pages: 192
Authors: Mounir Kehal, Shahira El Alfy
Categories: Computers
Type: BOOK - Published: 2021-01-12 - Publisher: CRC Press

Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences. Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics. It features case studies that provide