FREE delivery to all EXCLUSIVE BOOKS stores nationwide. FREE delivery to your door on all orders over R450. Excludes all international deliveries.

  • Safe delivery by Christmas SANTA SAFE
    Data Analytics in Football

Data Analytics in Football

Daniel Memmert
    Product form
      FORMAT: Paperback / softback

      R 2,308.00 Price and availability exclusive to website

      YOU COULD EARN 2,308 FUTURE RETAIL DISCOUNTS.
      ESTIMATED DELIVERY: Approx. 20 - 30 Business Days
      BUY NOW PAY LATER
      From R 384.66 per month!
      3x monthly payments of R 769.33 with
      4x fortnightly payments of R 577.00 with
      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. 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 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? Based on data collected from active leagues and fully revised for the new second edition, the text now also examines data collection in relation to other sports, how a data-driven approach in decision-making is achieved by professional teams and how big is the potential of the new methods of data collection and how could they evolve in the future. Accessibly written, packed full of examples from elite football and supplemented with expert interviews, 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.
      Format: Paperback / softback CONTRIBUTORS: Daniel Memmert EAN: 9781032532479 COUNTRY: United Kingdom PAGES: WEIGHT: 0 g HEIGHT: 246 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2023-12-22 CITY: GENRE: WIDTH: 174 cm SPINE:

      Book Themes:

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Daniel Memmert is Professor and Executive Head of the Institute of Exercise Training and and Sports Informatics at the German Sport University Cologne, Germany. His scientific work focuses on movement science, sports psychology, and computer science in sports. His institute cooperates with various Bundesliga soccer teams, DAX companies and organizes the first international master's degree course in "Match Analysis".Dominik Raabe is a research associate and PhD student at the Institute of Exercise Training and Sports Informatics at the German Sport University Cologne, Germany. He holds a Bachelor of Science degree in Cognitive Science from the University of Osnabrück, and a Master of Science degree in Scientific Computing from the Technical University of Berlin.
      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. 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 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? Based on data collected from active leagues and fully revised for the new second edition, the text now also examines data collection in relation to other sports, how a data-driven approach in decision-making is achieved by professional teams and how big is the potential of the new methods of data collection and how could they evolve in the future. Accessibly written, packed full of examples from elite football and supplemented with expert interviews, 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.
      Format: Paperback / softback CONTRIBUTORS: Daniel Memmert EAN: 9781032532479 COUNTRY: United Kingdom PAGES: WEIGHT: 0 g HEIGHT: 246 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2023-12-22 CITY: GENRE: WIDTH: 174 cm SPINE:

      Book Themes:

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Daniel Memmert is Professor and Executive Head of the Institute of Exercise Training and and Sports Informatics at the German Sport University Cologne, Germany. His scientific work focuses on movement science, sports psychology, and computer science in sports. His institute cooperates with various Bundesliga soccer teams, DAX companies and organizes the first international master's degree course in "Match Analysis".Dominik Raabe is a research associate and PhD student at the Institute of Exercise Training and Sports Informatics at the German Sport University Cologne, Germany. He holds a Bachelor of Science degree in Cognitive Science from the University of Osnabrück, and a Master of Science degree in Scientific Computing from the Technical University of Berlin.

      Recently viewed products

      Login

      Forgot your password?

      Don't have an account yet?
      Create account