Football Analytics with Python & R: Learning Data Science Through the Lens of Sports

by Eric Eager, Richard Erickson

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

Genres: Sports, Football

349 pages, Paperback

Published September 19, 2023

Reviews

[Matt Flaherty · Rating 5 out of 5]

This book is great for those looking to get into coding with Python and/or R. Additionally, it provides a great introduction into how teams are using data to make decisions.

[John Chancey · Rating 3 out of 5]

Not for the faint of heart.