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"I have spent most of the past decade working in baseball as a statistical analyst for the New York Mets. … This type of employment can be highly valued, especially among quantitatively inclined college students who are coincidentally passionate baseball fans. It is from these students from whom I am most frequently asked, ‘what book would you recommend for someone who wants to get started in sabermetrics?’ Invariably, my response has been [Jim Albert and Jay Bennett’s] Curve Ball. I have a new response. …
I always felt that Curve Ball was the best place for a budding sabermetrician to start … However, it later dawned on me that while Curve Ball provided a sound framework for thinking probabilistically about baseball, I devoted a huge proportion of my time at work to computer programming. …
In their new book, Albert and Max Marchi, a native Italian who now works for the Cleveland Indians, have closed the loop by offering the aspiring sabermetrician a blueprint. … The reader who digests this book alongside her keyboard will emerge as a practicing sabermetrician—having knowledge of the key ideas in sabermetric theory, a historical understanding of from whence those ideas came, and the practical ability to compute with baseball data. It is a sabermetric workshop in paperback."
—Ben S. Baumer, International Statistical Review (2014), 82
Max Marchi is a baseball analyst with the Cleveland Indians. He was previously 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.
The book is great at getting you started and teaching you how to handle data in R. Also the exercises at the end of each chapter are awesome. Read morePublished 13 hours ago by Martin Alonso
First thing first - if you have little knowledge/interest in baseball but are considering picking this book up to learn 'R' my advice is to skip this book and find another source. Read morePublished 19 days ago by Sibelius
Wow- the Good Ole Days of Batting Averages, RBI's, HR's and ERA's are long gone. Now, to best way to really analyze a player's stats, we have Sabermetrics and -- the "new"... Read morePublished 19 days ago by Ace
A relatively fun way to learn the database manager/statistical software "R." the authors take the novel approach of teaching the language within the context of baseball... Read morePublished 26 days ago by M. Allen Greenbaum
This is a great book. I have coded in over 3 years due to a career change, but I found this book to be very easy to follow and understand. Read morePublished 1 month ago by Florida Dad
I am 50 pages in and decided to stop for a second to right a review because I felt I owed it to the authors. This book is fantastic! Read morePublished 1 month ago by Daniel Vogelsang
If you're looking for an introductory book on R that starts with the basics then seamlessly progresses into more substantive programming and analysis topics and tutorials, you may... Read morePublished 1 month ago by Simple Way
I highly recommend this book as a primer for R, even though I may be the last person in the world who would be interested in baseball. Read morePublished 1 month ago by Ira Laefsky
I just completed my second year of Fantasy Baseball competition by winning my league on the CBS Sports Website. Read morePublished 1 month ago by Mike Byrne