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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