“Football Analytics with R: NFL Data Science using nflfastR and nflverse” is a beginner-friendly guide for football fans and aspiring data scientists who want to dive into the world of NFL analytics with R. Across 24 pages, the book walks readers step by step through working with play-by-play NFL data using the nflverse ecosystem, including packages such as nflfastR, nflreadr, and nflplotR.
The content covers everything from downloading and cleaning historical datasets with tidyverse, to calculating advanced metrics like Expected Points Added (EPA) and Win Probability (WP). It also introduces predictive modeling (e.g., for field goals or fantasy football projections) and visualizations of plays and team performance, featuring NFL logos and field plots for clear storytelling.
With clear examples, reproducible R code, and intuitive explanations, this book serves as an essential resource for anyone interested in applying data science to NFL football analytics—whether for academic projects, professional work, or simply as a passionate hobby.
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