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Artificial Intelligence and Machine Learning in Sports Science

  • Book
  • Mar 2025

Overview

  • One of the first sports science books in the field of artificial intelligence and machine learning
  • Target group-specific content for professionals working in sports informatics, sports medicine and training science
  • Numerous practical examples from individual and team sports

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About this book

This professional book is one of the first German-language publications to provide a comprehensive overview of how artificial intelligence (AI) and machine learning (ML) are used in the context of sports science research and practice.

In addition to the basics of AI and ML, various applications are described, including self-learning algorithms for analyzing athletes' movement patterns and intelligent wearables that provide real-time data. By integrating big data, game results, fitness parameters and individual performance can be analyzed in detail, leading to new developments in research. From performance analysis to injury prevention and personalized training methods, there are many opportunities for future research and practice.

More than 22 experts contribute to covering the wide range of topics related to AI and ML and concisely summarize the latest state of research. Various topics are clustered in overarching book sections, including general basics, metrics in team sports, metrics in individual sports and applications in sports science.

An outlook also addresses ethical issues in connection with the use of AI and ML in sport and their responsible application. Overall, professionals and researchers in the fields of computer science in sport, sports technology, training science and sports medicine will find a comprehensive reference work with practical examples of an innovative field of research. 

 

Keywords

  • Artificial Learning (AI)
  • Machine Learning (ML)
  • Computer science in sport
  • Deep Learning
  • Team sports
  • Individual sports
  • Injury prevention and rehabilitation
  • Neural networks
  • Modeling
  • Simulation
  • Performance indicators and performance diagnostics
  • Big Data
  • Wearables
  • AI and ethics
  • Personalized training methods
  • Fitness parameters
  • Sports technology
  • Sports medicine
  • Training science

Editors and Affiliations

  • Institut für Trainingswissenschaft und Sportinformatik, Deutsche Sporthochschule Köln, Köln, Germany

    Daniel Memmert

About the editor

Prof. Dr Daniel Memmert is the executive director and professor at the Institute of Exercise Training and Sport Informatics at the German Sport University Cologne. He is the editor and author of numerous textbooks with a focus on exercise science, sports psychology and informatics. His institute organises two certificate programmes (Game Analysis Team Cologne / Sports Director in Youth and Amateur Soccer) as well as the first international Master's degree programme "Match Analysis". 

Bibliographic Information

  • Book Title: Artificial Intelligence and Machine Learning in Sports Science

  • Editors: Daniel Memmert

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature 2025

  • Softcover ISBN: 978-3-662-70154-6Due: 12 April 2025

  • eBook ISBN: 978-3-662-70155-3Due: 12 April 2025

  • Edition Number: 1

  • Number of Illustrations: 90 illustrations in colour

  • Additional Information: English translation of the original German 1st edition: "Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft" (2025), Springer Verlag GmbH, DE

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