Sports analytics : analysis, visualisation and decision making in sports performance
Author(s)
Bibliographic Information
Sports analytics : analysis, visualisation and decision making in sports performance
（Routledge studies in sports performance analysis）
Routledge, 2018
- : pbk
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Note
Other authors: Allistair McRobert, Giles Oatley and Peter O'Donoghue
Includes bibliographical references and index
Description and Table of Contents
Description
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 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.
Table of Contents
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
by "Nielsen BookData"
