Sports Analytics ― Analysis, Visualisation and Decision-making in Sports Performance

As the analysis of big data sets in sports performance becomes a more entrenched part of the sporting landscape, so the value of sport scientists and analysts with formal training in data analytics grows. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance  provides the most authoritative and comprehensive guide to the use of analytics in sport and its application in sports performance, coaching, talent identification and sports medicine available.

Employing an approach-based structure and integrating problem-based learning throughout the text, the book clearly defines the difference between analytics and analysis and goes on to explain and illustrate methods including:

• interactive visualisation
• simulation and modelling
• geospatial data analysis
• spatio-temporal analysis
• machine learning
• genomic data analysis
• social network analysis

Offering online example data sets and exercises, and culminating in a mixed-methods case study chapter, no other book offers the same level of scientific grounding or practical application in sports data analytics. Sports Analytics is essential reading for all students of sports analytics, and useful supplementary reading for students and professionals in talent identification and development, sports performance analysis, sports medicine and applied computer science.

Ambikesh Jayal is a Senior Lecturer in Computing and Information Systems at Cardiff Metropolitan University, UK.

Allistair McRobert is a Senior Lecturer of Performance Analysis at Liverpool John Moores University, UK.

Giles Oatley is a Senior Lecturerat Murdoch University, Australia.

Peter O’Donoghue is a Reader in Sports Performance Analysis in Cardiff School of Sport at Cardiff Metropolitan University, UK.