This book covers those baseball games throughout history that can be considered blowouts. They were selected purely by run differential.

SABR 50 at 50 celebrates and highlights the Society for American Baseball Research’s wide-ranging contributions to baseball history. Established in 1971 in Cooperstown, New York, SABR has sought to foster and disseminate the research of baseball—with groundbreaking work from statisticians, historians, and independent researchers—and has published dozens of articles with far-reaching and long-lasting impact on the game. Among its current membership are many Major and Minor League Baseball officials, broadcasters, and writers as well as numerous former players. The diversity of SABR members’ interests is reflected in this fiftieth-anniversary volume—from baseball and the arts to statistical analysis to the Deadball Era to women in baseball. SABR 50 at 50 includes the most important and influential research published by members across a multitude of topics, including the sabermetric work of Dick Cramer, Pete Palmer, and Bill James, along with Jerry Malloy on the Negro Leagues, Keith Olbermann on why the shortstop position is number 6, John Thorn and Jules Tygiel on the untold story behind Jackie Robinson’s signing with the Dodgers, and Gai Berlage on the Colorado Silver Bullets women’s team in the 1990s. To provide history and context, each notable research article is accompanied by a short introduction. As SABR celebrates fifty years this collection gathers the organization’s most notable research and baseball history for the serious baseball reader.

Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available online. New to the second edition are a systematic adoption of the tidyverse and incorporation of Statcast player tracking data (made available by Baseball Savant). All code from the first edition has been revised according to the principles of the tidyverse. Tidyverse packages, including dplyr, ggplot2, tidyr, purrr, and broom are emphasized throughout the book. Two entirely new chapters are made possible by the availability of Statcast data: one explores the notion of catcher framing ability, and the other uses launch angle and exit velocity to estimate the probability of a home run. Through the book’s various examples, you will learn about modern sabermetrics and how to conduct your own baseball analyses. 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.

An insider’s look at baseball’s unwritten rules, explained with examples from the game’s most fascinating characters and wildest historical moments. Everyone knows that baseball is a game of intricate regulations, but it turns out to be even more complicated than we realize. All aspects of baseball—hitting, pitching, and baserunning—are affected by the Code, a set of unwritten rules that governs the Major League game. Some of these rules are openly discussed (don’t steal a base with a big lead late in the game), while others are known only to a minority of players (don’t cross between the catcher and the pitcher on the way to the batter’s box). In The Baseball Codes, old-timers and all-time greats share their insights into the game’s most hallowed—and least known—traditions. For the learned and the casual baseball fan alike, the result is illuminating and thoroughly entertaining. At the heart of this book are incredible and often hilarious stories involving national heroes (like Mickey Mantle and Willie Mays) and notorious headhunters (like Bob Gibson and Don Drysdale) in a century-long series of confrontations over respect, honor, and the soul of the game. With The Baseball Codes, we see for the first time the game as it’s actually played, through the eyes of the players on the field. With rollicking stories from the past and new perspectives on baseball’s informal rulebook, The Baseball Codes is a must for every fan.

Baseball is a game of hits and misses, homers and strikeouts, wins and losses. Check out the very best and worst that baseball has to offer with Baseball's Best and Worst.

Teaching Statistics Using Baseball is a collection of case studies and exercises applying statistical and probabilistic thinking to the game of baseball. Baseball is the most statistical of all sports since players are identified and evaluated by their corresponding hitting and pitching statistics. There is an active effort by people in the baseball community to learn more about baseball performance and strategy by the use of statistics. This book illustrates basic methods of data analysis and probability models by means of baseball statistics collected on players and teams. Students often have difficulty learning statistics ideas since they are explained using examples that are foreign to the students. The idea of the book is to describe statistical thinking in a context (that is, baseball) that will be familiar and interesting to students. The book is organized using a same structure as most introductory statistics texts. There are chapters on the analysis on a single batch of data, followed with chapters on comparing batches of data and relationships. There are chapters on probability models and on statistical inference. The book can be used as the framework for a one-semester introductory statistics class focused on baseball or sports. This type of class has been taught at Bowling Green State University. It may be very suitable for a statistics class for students with sports-related majors, such as sports management or sports medicine. Alternately, the book can be used as a resource for instructors who wish to infuse their present course in probability or statistics with applications from baseball. The second edition of Teaching Statistics follows the same structure as the first edition, where the case studies and exercises have been replaced by modern players and teams, and the new types of baseball data from the PitchFX system and fangraphs.com are incorporated into the text.

Epstein takes readers on a funky ride through baseball and America in the swinging '70s in this wild pop-culture history of baseball's most colorful and controversial decade. Includes 8-page photo insert.

The thrill of victory, the agony of a tight jockstrap. It’s the reason we love sports—you never know what’s going to happen. Sometimes everything clicks, with the best athlete in the world competing at their peak, and the result is a thing of breathtaking beauty. But sometimes the opposite happens, resulting in moments of breathtaking hilarity, or astonishing inanity, or just plain head-scratching puzzlement. Welcome to The Stupidest Sports Book of All Time. Featuring: The most boring games in sports history Wise(ish) words on winning Stupid mascot antics The strangest things coaches have done to motivate teams And much, much more!

In this spellbinding book, Richard Bradley tells the story of what was surely the greatest major league game of our lifetime and perhaps in the history of professional baseball. That game, played at Fenway Park on the afternoon of October 4, 1978, was the culmination of one of the most tense, emotionally wrought seasons ever, between baseball's two most bitter rivals, the Boston Red Sox and the New York Yankees. Both teams finished this tumultuous season with identical 99-64 records, forcing a one-game playoff. With a one-run lead and two outs, with the tying run in scoring position in the bottom of the ninth, the entire season came down to one at-bat and to one swing of the bat. It came down, as both men eerily predicted to themselves the night before, to the aging Red Sox legend, Carl Yastrzemski, and the Yankees' free-agent power reliever, Rich "Goose" Gossage. Anyone who calls himself a baseball fan knows the outcome of that confrontation. And yet such are the literary powers of the author that we are pulled back in time to that late-afternoon moment and become filled anew with all the taut sense of drama that sports has to offer, as if we don't know what happened. As if the thoughts swirling around in the heads of pitcher and hitter are still fresh, both still hopeful of controlling events. That climactic game occurred thirty seasons ago and yet it still captures our imagination. In this delightful work of sports literature, we watch the game unfold pitch by pitch, inning by inning, but Bradley is up to something more ambitious than just recounting this wonderful game. He also tells us the stories of the participants -- how they got to that moment in their lives and careers, what was at stake for them personally -- including the rivalries within the rivalry, such as catcher Carlton Fisk versus catcher Thurman Munson,and Billy Martin versus everyone. Using a narrative that alternates points of view between the teams, Bradley reacquaints us with a rich roster of characters -- Freddy Lynn, Ron Guidry, Catfish Hunter, Mike Torrez, Jerry Remy, Lou Piniella, George Scott, and Reggie Jackson. And, of course, Bucky Dent, who craved just such a moment in the sun -- a validation he had vainly sought from the father he barely knew. Not a book intended to celebrate a triumph or lament a loss, The Greatest Game will be embraced in both Boston and New York, with fans of both teams recalling again the talented young men they once gave their hearts to. And fans everywhere will be reminded how utterly gripping a single baseball game can be and that the rewards of being a fan lie not in victory but in caring beyond reason, even decades after the fact.

Here is Ron Luciano, the funniest ump ever to call balls and strikes. A huge and awesome legend who leaps and spins and shoots players with an index finger while screaming OUTOUTOUT!!! Now baseball's flamboyant fan-on-the-field comes out from behind the mask to call the game as he really sees it. There’s the day the automatic umpire debuted at home plate—and struck out. The time Rod Carew stole home twice in one inning, and Earl Weaver stole second base—and took it back to the dugout. The pitch Tommy John dropped on the mound, which Luciano called a strike. And there’s the fantastic phantom double play, the impossible frozen ice-ball theory, and, another first, Luciano picking Harmon Killebrew off second base. From brawls to catcalls, from dugout jokes to on-the-field pratfalls to one-of-a-kind conversations with baseball’s greats, Ron Luciano, the only umpire who confessed to missing calls, takes a few grand slam swings of his own. It is baseball at its best.