Sports Data Analytics - Techniques, Applications, and Innovations

In the rapidly evolving world of sports, data has become an invaluable asset, transforming how athletes train, teams strategise, and fans engage. The book delves into the heart of this transformation, offering a comprehensive guide to the latest techniques, applications, and future directions in sports data analytics. The book begins with the fundamentals, introducing key concepts and methodologies for data collection, management, and preprocessing. It then explores various analytical techniques, from descriptive and predictive analytics to advanced AI applications like computer vision and natural language processing. It presents real-world case studies and applications, showcasing how data analytics can enhance in-game strategy, player performance, injury prevention, and fan engagement. Finally, the book addresses emerging technologies, ethical considerations, and the future landscape of sports data analytics.

List of contents

Chapter 1` :Fundamentals of Sports Analytics .-Chapter 2 :Analytical Techniques and Models .- Chapter 3 : Case Studies.- Chapter 4: Future Trends .

Product details

• Assisted by: N. Sertac Artan (Editor), Tolga Kaya (Editor), Mehul S. Raval (Editor), N Sertac Artan et al (Editor), Christopher Taber (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Release: 03.02.2026
• EAN: 9789819551316
• ISBN: 978-981-9551-31-6
• No. of pages: 280
• Illustrations: XXII, 280 p. 53 illus., 45 illus. in color.
• Series: Studies in Big Data
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; machine learning, Datenbanken, Artificial Intelligence, Natürliche Sprachen und maschinelle Übersetzung, Maschinelles Sehen, Bildverstehen, Computer Vision, Natural Language Processing, Computational Intelligence, Natural Language Processing (NLP), Data Analysis and Big Data, Performance Analysis, Injury Risk, Sports Data Analytics