The book will be of interest to basefall fans who want to learn some sabermetrics, and also people who know sabermetrics but would like to use R in their data exploration. Many students do not work on baseball data because the datasets are very large. By learning R through our book, they will be encouraged to do more baseball research on their own.

1. The Baseball Datasets. 2. Introduction to R. 3. Traditional Graphics. 3. The Relation between Runs and Wins. 4. Value of Plays Using Run Expectancy. 5. Advanced Graphics. 6. Balls and Strikes Effects. 7. Career Trajectories. 8. Simulation. 9. Exploring Streaky Performances. 10. Learning about Park Effects by Database Management Tools. 11.Exploring Fielding Metrics with Contributed R Packages.

Max Marchi is a Baseball Analytics Analyst for the Cleveland Indians. He was a regular contributor to The Hardball Times and Baseball Prospectus websites and previously consulted for other MLB clubs.

Jim Albert is a Distinguished University Professor of statistics at Bowling Green State University. He has authored or coauthored several books including Curve Ball and Visualizing Baseball and was the editor of the Journal of Quantitative Analysis of Sports.

Ben Baumer is an assistant professor of statistical & data sciences at Smith College. Previously a statistical analyst for the New York Mets, he is a co-author of The Sabermetric Revolution and Modern Data Science with R.