Price: £52.99 - £36.69
(as of Feb 26, 2026 17:12:49 UTC – Details)
Baseball is not the only sport to use “moneyball.” American football teams, fantasy football players, fans, and gamblers are increasingly using data to gain an edge on the competition. Professional and college teams use data to help identify team needs and select players to fill those needs. Fantasy football players and fans use data to try to defeat their friends, while sports bettors use data in an attempt to defeat the sportsbooks.
In this concise book, Eric Eager and Richard Erickson provide a clear introduction to using statistical models to analyze football data using both Python and R. Whether your goal is to qualify for an entry-level football analyst position, dominate your fantasy football league, or simply learn R and Python with fun example cases, this book is your starting place.
Through case studies in both Python and R, you’ll learn to:
Obtain NFL data from Python and R packages and web scraping Visualize and explore data Apply regression models to play-by-play data Extend regression models to classification problems in football Apply data science to sports betting with individual player props Understand player athletic attributes using multivariate statistics
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Publisher : O’Reilly Media
Publication date : 1 Sept. 2023
Language : English
Print length : 349 pages
ISBN-10 : 1492099627
ISBN-13 : 978-1492099628
Item weight : 567 g
Dimensions : 17.78 x 1.91 x 23.5 cm
Best Sellers Rank: 74,607 in Books (See Top 100 in Books) 9 in Betting Systems & Theories 27 in Data Mining (Books) 55 in Higher Mathematical Education
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