Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
Daniel Memmert is Professor and Executive Head of the Institute of Training and Computer Science in Sport at the German Sport University Cologne, Germany.
Dominik Raabe is Research Assistant at the Institute of Training and Computer Science in Sport at the German Sport University Cologne, Germany. He is also studying Scientific Computing (MSc) at the Institute of Mathematics at the Technical University Berlin.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Data Analytics in Football: Positional Data Collection, Modelling and Analysis
Editore:
Routledge, 2018
ISBN 10: 0815381557
ISBN 13: 9780815381556
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Soft cover. Condizione: Very Good. 1st Edition. Very good, clean, tight condition. Text is free of marks. Professional book dealer since 1999. All orders are processed promptly and carefully packaged. Codice articolo 076516
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Data Analytics in Football : Positional Data Collection, Modelling and Analysis
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Taylor & Francis Group, 2018
ISBN 10: 0815381557
ISBN 13: 9780815381556
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Data Analytics in Football
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Data Analytics in Football Memmert
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 186. Codice articolo 26375455824
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Data Analytics in Football: Positional Data Collection, Modelling and Analysis
Editore:
Taylor & Francis Inc, United States, New York, 2018
ISBN 10: 0815381557
ISBN 13: 9780815381556
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Paperback
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Good. 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. The book has been read but remains in clean condition. All pages are intact and the cover is intact. Some minor wear to the spine. Codice articolo GOR013135603
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Data Analytics in Football: Positional Data Collection, Modelling and Analysis
Editore:
Taylor & Francis Inc, United States, New York, 2018
ISBN 10: 0815381557
ISBN 13: 9780815381556
Antico o usato
Paperback
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Very Good. 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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Codice articolo GOR009718878
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Condizione: New. Print on Demand pp. 186. Codice articolo 370589583
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