This practical guide helps statisticians, students, and baseball fans learn about sabermetrics and the use of R in data exploration. It covers the relation between runs and wins and the runs expectancy matrix as well as how to visualize pitch trajectories and umpires’ tendencies and how to uncover patterns of players and teams. The authors also examine the effects of ballpark dimensions and weather conditions, compare the intra-player correlations of several baseball stats, and explore recent progress in the objective evaluation of defense.
Max Marchi is a statistician at the Emilia-Romagna Regional Health Agency. He has been a regular contributor to The Hardball Times and Baseball Prospectus websites and has consulted for MLB clubs.
Jim Albert is a professor of statistics at Bowling Green State University. He has authored or coauthored several books and is the editor of the Journal of Quantitative Analysis of Sports. His interests include Bayesian modeling, statistics education, and the application of statistical thinking in sports.
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