Statistical Modelling and Sports Business Analytics

Front Cover
Vanessa Ratten, Ted Hayduk
Routledge, May 11, 2020 - Business & Economics - 190 pages

This book introduces predictive analytics in sports and discusses the relationship between analytics and algorithms and statistics. It defines sports data to be used and explains why the unique nature of sports would make analytics useful. The book also explains why the proper use of predictive analytics includes knowing what they are incapable of doing as well as the role of predictive analytics in the bigger picture of sports entrepreneurship, innovation, and technology.

The book looks at the mathematical foundations that enhance technical knowledge of predictive models and illustrates through practical, insightful cases that will help to empower readers to build and deploy their own analytic methodologies.

This book targets readers who already have working knowledge of location, dispersion, and distribution statistics, bivariate relationships (scatter plots and correlation coefficients), and statistical significance testing and is a reliable, well-rounded reference for furthering their knowledge of predictive analytics in sports.


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List of figures
On the use of quantitative data in the sport context
Big data and business intelligence in sport
Social media marketing and network analysis in sport
Sport companies using analytics and statistics
Relationship between support for sports policy and political ideology in the host
What is a sports club in the 21st century? Social enterprise and social
Identification of weight control behaviors in members of Polish amateur sports
a study applied
Deals completed? An exploratory case study about the role of players agents
a business
Statistical analysis of outdoor adventure facilitation efficacy in Kenya
The future of sport data analytics

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About the author (2020)

Vanessa Ratten is Associate Professor at La Trobe University, Melbourne, Australia.

Ted Hayduk is Assistant Professor at New York University, USA.

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