Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance [Hardcover]

1. What is Analytics?

2. Complex Data and the Data Age

3. Interactive Visualisation

4. Simulation and Modelling

5. Geospatial Data Analysis

6. Spatio-Temporal Analysis

7. Machine Learning and Sport

8. Genomics in Sports

9. Social Network Analysis

10. Knowledge Discovery in Databases and Data Mining

11. Data Management and Infrastructure

12. Sports Analytics Applications in Soccer

As the analysis of big datasets 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
• Spatiotemporal analysis
• Machine learning
• Genomic data analysis
• Social network analysis

Offering a mixed-methods case study chapter, no other book offers the same level of scientifilC/