College Football Analytics brings data science to the gridiron, providing a rigorous analytical framework for understanding NCAA football. This textbook covers statistical methods, prediction models, and visualization techniques specifically designed for college football data.
You'll learn to work with play-by-play data, build expected points added (EPA) models, construct win probability models, and evaluate player and team performance using advanced metrics. The book covers both the theory behind these models and practical implementation with real data.
Whether you're a sports analytics student, a data science professional exploring sports applications, or a football enthusiast who wants to understand the numbers behind the game, this book provides the analytical tools and frameworks you need.