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Sandlot Stats

an innovative textbook that explains
the mathematical underpinnings of baseball
so that students can understand the world of
statistics and probability

- The Johns Hopkins University Press

Sandlot Stats by Stanley Rothman is available now in stores.

Order now at, Barnes & Noble, The Johns Hopkins University Press and at other booksellers.

New: Order directly from Johns Hopkins University Press to receive a 35% discount at checkout. Use code HSTU.

About the Author

About the Book

Chapter by Chapter

Interesting Facts


On Tour

Baseball Research Topics

Teaching Tips for Sandlot Stats


Sandlot Stats Home

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As Derek Jeter strolls toward the plate, the announcer tosses out a smattering of statistics—from hitting streaks to batting averages. But what do the numbers mean? And how can America’s favorite pastime be a model for learning about statistics? Sandlot Stats is an innovative textbook that explains the mathematical underpinnings of baseball so that students can understand the world of statistics and probability.

Carefully illustrated and filled with exercises and examples, this book teaches the fundamentals of probability and statistics through the feats of baseball legends such as Hank Aaron, Joe DiMaggio, and Ted Williams—and more recent players such as Barry Bonds, Albert Pujols, and Alex Rodriguez. Exercises require only pen-and-paper or Microsoft Excel to perform the analyses.

Sandlot Stats covers all the bases, including • descriptive and inferential statistics • linear regression and correlation • probability • sports betting • probability distribution functions • sampling distributions • hypothesis testing • confidence intervals • chi-square distribution.

Sandlot Stats offers information covered in most introductory statistics books, yet is peppered with interesting facts from the history of baseball to enhance the interest of the student and make learning fun.

The last three chapters of the book apply the probability and statistics taught in the first 15 chapters to the following three research topics:

(1)    Will any player ever duplicate Joe DiMaggio’s 56-game hitting streak?

(2)    Will we ever have another .400 hitter for a season?

(3)    Who are the top ten hitters of all-time?


For up-to-date baseball news, check out Alltop.


Here's is a catchy song and slideshow about the history of the Yankees.


Here's a game for all the baseball fans:


Alex Everett, one of Dr. Rothman's students, talks about taking the baseball and statistics class at Quinnipiac with Dr. Rothman.



Read about Dr. Rothman's and Dr. Nabels 50 Year Friendship at Quinnipiac University.


Baseball Statistics bowtie from Beau Ties LTD of VT which is based on graphs from the book Sandlot Stats:  Learning Statistics with Baseball

Check out the new baseball statistics bow tie and necktie from Beau Ties LTD of Vermont . It is based on graphs from from my book Sandlot Stats. Also, they published a nice article about Dr. Stan the Stats Man in their Fall 2015 Catalogue.





Google Trends show that people are always interested in baseball statistics. If you are one of them, then this book is for you.


"High school statistics teachers could use this book as a course supplement or an enrichment source for sports=crazy students." Marc Michael, Frostburg State University, Frostburg, MD, Vol. 107, No. 7, March 2014, Mathematics Teacher

Read More has been listed on More Sites Like as one of the top 25 Sabermetrics sites.

"Of special interest is chapter 16, 'Streaking', with a detailed analysis and simulation of Joe DiMaggio's 1941 56-game hitting streak." J.T. Saccoman, Seton Hall University, for CHOICE, August 2013

Read the entire book review.

"Sandlot Stats is a readable and resourceful introductory textbook for statistics." Graham Wheeler,Cambridge, for Significance, Feb. 2013, The Royal Statistical Society

Read the entire book review.

"If this had been the textbook for a basic statistics course that I took as a student, I might have remembered that course forever as the best class I ever had. "
Charles Ashbacher, on 11/24/2012, an MAA Review for the MathDL

Read the entire book review.

"Dr Rothman has hit a home run. *Sandlot Stats: Learning Statistics with Baseball* is not only a fine book to read, but a text which can also serve as an excellent resource book."  Father Gabriel Costa, Professor Mathmetics at West Point

Read the entire book review .

"Sandlot Stats" by Stanley Rothman (Johns Hopkins Press, 571 pages) is an over-sized tome that is truly a scholarly labor of love as its sub-title proclaims "learning statistics with baseball." For those interested in the subject - -this is your book - - one that attempts to explain the mathematical anchorage of baseball as a way to understand the universe of stats and probability.
Harvey Frommer. Ph.D., The Epoch Times, Sports Book Reviews

Click here to see the book review.

Sports Paws associate producer Jon Alba of Q30TV takes a look Sandlot Stats by Dr. Stanley Rothman, who teaches the Baseball Statistics course at Quinnipiac University.

(We are proud to say that this video won Jon Alba an award for best sports feature from the Collegiate Society of Professional Journalists.)  

On October 17, 2012, Stan was interviewed by Steven Cherry for IEEE Spectrum’s “Techwise Conversations". IEEE is the Institute of Electrical and Electronics Engineers and the podcastis titled. "Training Engineers With Baseball". Click here to listen to it.

Stan was also interviewed by the Meriden Record-Journal Newspaper. The article appeared in the Cheshire Citizen , Cheshire professor uses baseball to teach statistics .

Dr. Stan the Stats Man was interviewed about his new book, Sandlot Stats, by Eric Turcio on Talk With Turcio on October 3, 2012. Click here to listen to the interview.

Don't forget to read Dr. Stan The Stats Man's most current blog. He would love to hear your thoughts and opinions so leave a comment on the blog.

Visit Sandlot Stats - Learning Statistics with Baseball's profile on Pinterest.  



Sandlot Stats: Learning Statistics with Baseball by Stanley Rothman is published by The Johns Hopkins University Press


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