Download or read book How to Do Baseball Research written by Society for American Baseball Research and published by . This book was released on 2000 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the essential how-to manual for anyone interested in baseball research. How to Do Baseball Research updates and greatly expands The Baseball Research Handbook, published by the Society for American Baseball Research (SABR) in 1987. A group of talented SABR members provide information and advice in a variety of areas, including how to use libraries and archives, find illustrations, and prepare manuscripts for publication. Particularly noteworthy is the new information on using the computer for baseball research and statistical analysis. Contributions from SABR committee chairs and longtime SABR researchers add valuable specifics to the fundamental advice in the ten chapters.

Download or read book Sandlot Stats written by Stanley Rothman and published by JHU Press. This book was released on 2012-11-01 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sandlot Stats uses the national pastime to help students who love baseball learn—and enjoy—statistics. 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.

Download or read book Baseball Hacks written by Joseph Adler and published by "O'Reilly Media, Inc.". This book was released on 2006-01-31 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Baseball Hacks isn't your typical baseball book--it's a book about how to watch, research, and understand baseball. It's an instruction manual for the free baseball databases. It's a cookbook for baseball research. Every part of this book is designed to teach baseball fans how to do something. In short, it's a how-to book--one that will increase your enjoyment and knowledge of the game. So much of the way baseball is played today hinges upon interpreting statistical data. Players are acquired based on their performance in statistical categories that ownership deems most important. Managers make in-game decisions based not on instincts, but on probability - how a particular batter might fare against left-handedpitching, for instance. The goal of this unique book is to show fans all the baseball-related stuff that they can do for free (or close to free). Just as open source projects have made great software freely available, collaborative projects such as Retrosheet and Baseball DataBank have made great data freely available. You can use these data sources to research your favorite players, win your fantasy league, or appreciate the game of baseball even more than you do now. Baseball Hacks shows how easy it is to get data, process it, and use it to truly understand baseball. The book lists a number of sources for current and historical baseball data, and explains how to load it into a database for analysis. It then introduces several powerful statistical tools for understanding data and forecasting results. For the uninitiated baseball fan, author Joseph Adler walks readers through the core statistical categories for hitters (batting average, on-base percentage, etc.), pitchers (earned run average, strikeout-to-walk ratio, etc.), and fielders (putouts, errors, etc.). He then extrapolates upon these numbers to examine more advanced data groups like career averages, team stats, season-by-season comparisons, and more. Whether you're a mathematician, scientist, or season-ticket holder to your favorite team, Baseball Hacks is sure to have something for you. Advance praise for Baseball Hacks: "Baseball Hacks is the best book ever written for understanding and practicing baseball analytics. A must-read for baseball professionals and enthusiasts alike." -- Ari Kaplan, database consultant to the Montreal Expos, San Diego Padres, and Baltimore Orioles "The game was born in the 19th century, but the passion for its analysis continues to grow into the 21st. In Baseball Hacks, Joe Adler not only demonstrates thatthe latest data-mining technologies have useful application to the study of baseball statistics, he also teaches the reader how to do the analysis himself, arming the dedicated baseball fan with tools to take his understanding of the game to a higher level." -- Mark E. Johnson, Ph.D., Founder, SportMetrika, Inc. and Baseball Analyst for the 2004 St. Louis Cardinals

Download or read book The SABR Baseball List Record Book written by Society for American Baseball Research and published by Simon and Schuster. This book was released on 2007-03-20 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the authority on baseball research and statistics comes a vast and fascinating compendium of unique baseball lists and records. The SABR Baseball List & Record Book is an expansive collection of pitching, hitting, fielding, home run, team, and rookie records not available online or in any other book. This is a treasure trove of baseball history for statistically minded baseball fans that's also packed with intriguing marginalia. For instance, on July 25, 1967, Chicago's Ken Berry ended Game Two of a doubleheader against Cleveland with a home run in the bottom of the sixteenth inning -- Chicago's second game-winning homer of the day. The comprehensive lists include Most Career Home Runs by Two Brothers (Tommie and Hank Aaron have 768), Most Seasons with 15 or More Wins (Cy Young and Greg Maddux each have 18), and Highest On Base Percentage in a Season by a Rookie (listing every rookie above .400). Unlike other record books that only list the record holders -- say, most RBI by a rookie, held by Ted Williams with 145 -- SABR details every rookie to reach 100 RBI. Other record books might note the last pitcher in each league to steal home; here SABR has included every pitcher to do it. The book also includes a number of idiosyncratic features, such as a rundown of every player who has hit a triple and then stolen home, or every reliever who has won two games in one day. Many of the lists include a comments column for key historical notes and entertaining trivia (Bob Horner hit four home runs in a 1986 game, but his team lost). This is a must-have for every fan's library. Edited by Lyle Spatz, Chairman of the Baseball Records Committee for SABR

Download or read book The Last Yankee written by Society for American Baseball Research (Sabr) and published by . This book was released on 1999-01-30 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of articles, essays, statistics, and lore on the game of baseball.

Download or read book The Baseball Research Journal written by Society for American Baseball Research (SABR) and published by Baseball Research Journal. This book was released on 2000-01-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents baseball research with a strong analytical approach. Made up of statistical studies, in-depth examinations of playing techniques, and articles focusing on baseball as a business, the Baseball Research Journal draws from the research efforts of members of the Society for American Baseball Research.

Download or read book The Hall Ball written by Ralph Carhart and published by McFarland. This book was released on 2020-06-18 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rescued in 2010 from the small creek that runs next to Doubleday Field in Cooperstown, New York, a simple baseball launched an epic quest that spanned the United States and beyond. For eight years, "The Hall Ball" went on a journey to have its picture taken with every member of the Baseball Hall of Fame, both living and deceased. The goal? To enshrine the first crowd-sourced artifact ever donated to the Hall. Part travelogue, part baseball history, part photo journal, this book tells the full story for the first time. The narratives that accompany the ball's odyssey are as funny and moving as any in the history of the game.

Download or read book The New Bill James Historical Baseball Abstract written by Bill James and published by Simon and Schuster. This book was released on 2010-05-11 with total page 1026 pages. Available in PDF, EPUB and Kindle. Book excerpt: When Bill James published his original Historical Baseball Abstract in 1985, he produced an immediate classic, hailed by the Chicago Tribune as the “holy book of baseball.” Now, baseball's beloved “Sultan of Stats” (The Boston Globe) is back with a fully revised and updated edition for the new millennium. Like the original, The New Bill James Historical Baseball Abstract is really several books in one. The Game provides a century's worth of American baseball history, told one decade at a time, with energetic facts and figures about How, Where, and by Whom the game was played. In The Players, you'll find listings of the top 100 players at each position in the major leagues, along with James's signature stats-based ratings method called “Win Shares,” a way of quantifying individual performance and calculating the offensive and defensive contributions of catchers, pitchers, infielders, and outfielders. And there's more: the Reference section covers Win Shares for each season and each player, and even offers a Win Share team comparison. A must-have for baseball fans and historians alike, The New Bill James Historical Baseball Abstract is as essential, entertaining, and enlightening as the sport itself.

Download or read book The Sabermetric Revolution written by Benjamin Baumer and published by University of Pennsylvania Press. This book was released on 2014-01-23 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors look at the history of statistical analysis in baseball, how it can best be used today and how its it must evolve for the future.

Download or read book Practicing Sabermetrics written by Gabriel B. Costa and published by McFarland. This book was released on 2009-10-21 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past 30 years have seen an explosion in the number and variety of baseball books and articles. Following the lead of pioneers Bill James, John Thorn, and Pete Palmer, researchers have steadily challenged the ways we think about player and team performance--and along the way revised what we thought we knew of baseball history. This book by the authors of Understanding Sabermetrics (2008) goes beyond the explanation of new statistics to demonstrate their use in solving some of the more familiar problems of baseball research, such as how to compare players across generations; how to account for the effects of ballparks and rules changes; and how to measure the effectiveness of the sacrifice bunt or the range of the Gold Glove-winning shortstop. Instructors considering this book for use in a course may request an examination copy here.

Download or read book Analyzing Baseball Data with R Second Edition written by Max Marchi and published by CRC Press. This book was released on 2018-11-19 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Moneyball The Art of Winning an Unfair Game written by Michael Lewis and published by W. W. Norton & Company. This book was released on 2004-03-17 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This delightfully written, lesson-laden book deserves a place of its own in the Baseball Hall of Fame." —Forbes Moneyball is a quest for the secret of success in baseball. In a narrative full of fabulous characters and brilliant excursions into the unexpected, Michael Lewis follows the low-budget Oakland A's, visionary general manager Billy Beane, and the strange brotherhood of amateur baseball theorists. They are all in search of new baseball knowledge—insights that will give the little guy who is willing to discard old wisdom the edge over big money.

Download or read book Only the Ball was White written by Robert Peterson and published by Oxford University Press, USA. This book was released on 1992 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tells the forgotten story of Black star-quality athletes excluded from professional baseball because of the big league's color line.

Download or read book Analyzing Baseball Data with R written by Max Marchi and published by CRC Press. This book was released on 2016-04-05 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: With its flexible capabilities and open-source platform, R has become a major tool for analyzing detailed, high-quality baseball data. Analyzing Baseball Data with R provides an introduction to R for sabermetricians, baseball enthusiasts, and students interested in exploring the rich sources of baseball data. It equips readers with the necessary skills and software tools to perform all of the analysis steps, from gathering the datasets and entering them in a convenient 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 traditional graphics functions in the base package and introduce more sophisticated graphical displays available through the lattice and ggplot2 packages. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and fielding measures. Each chapter contains exercises that encourage readers to perform their own analyses using R. All of the datasets and R code used in the text are available online. This book helps readers answer questions about baseball teams, players, and strategy using large, publically available datasets. It offers detailed instructions on downloading the datasets and putting them into formats that simplify data exploration and analysis. Through the book’s various examples, readers will learn about modern sabermetrics and be able to conduct their own baseball analyses.

Download or read book Understanding Sabermetrics written by Gabriel B. Costa and published by McFarland. This book was released on 2019-06-05 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest in Sabermetrics has increased dramatically in recent years as the need to better compare baseball players has intensified among managers, agents and fans, and even other players. The authors explain how traditional measures--such as Earned Run Average, Slugging Percentage, and Fielding Percentage--along with new statistics--Wins Above Average, Fielding Independent Pitching, Wins Above Replacement, the Equivalence Coefficient and others--define the value of players. Actual player statistics are used in developing models, while examples and exercises are provided in each chapter. This book serves as a guide for both beginners and those who wish to be successful in fantasy leagues.

Download or read book Extra Innings written by The Baseball Prospectus and published by Basic Books. This book was released on 2012-04-03 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1996, a brassy young team of fansproduced a guide to baseball statistics.Printed on a photocopier, its distribution,which was in the low hundreds, was limited tofriends, family, and die-hard stat heads. Sixteenyears later, the Baseball Prospectus annualregularly hits best-seller lists and has becomean indispensable guide for the serious fan. In Extra Innings, the team at Baseball Prospectusintegrates statistics, interviews, and analysis todeliver twenty arguments about today's game.In the tradition of their seminal book, BaseballBetween the Numbers, they take on everything fromsteroids to the amateur draft. They probe theimpact of managers on the game. They explainthe critical art of building a bullpen. In an erawhen statistics matter more than ever, Extra Inningsis an essential volume for every baseball fan.

Download or read book The MVP Machine written by Ben Lindbergh and published by Basic Books. This book was released on 2019-06-04 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Move over, Moneyball -- this New York Times bestseller examines major league baseball's next cutting-edge revolution: the high-tech quest to build better players. As bestselling authors Ben Lindbergh and Travis Sawchik reveal in The MVP Machine, the Moneyball era is over. Fifteen years after Michael Lewis brought the Oakland Athletics' groundbreaking team-building strategies to light, every front office takes a data-driven approach to evaluating players, and the league's smarter teams no longer have a huge advantage in valuing past performance. Lindbergh and Sawchik's behind-the-scenes reporting reveals: How undersized afterthoughts José Altuve and Mookie Betts became big sluggers and MVPs How polarizing pitcher Trevor Bauer made himself a Cy Young contender How new analytical tools have overturned traditional pitching and hitting techniques How a wave of young talent is making MLB both better than ever and arguably worse to watch Instead of out-drafting, out-signing, and out-trading their rivals, baseball's best minds have turned to out-developing opponents, gaining greater edges than ever by perfecting prospects and eking extra runs out of older athletes who were once written off. Lindbergh and Sawchik take us inside the transformation of former fringe hitters into home-run kings, show how washed-up pitchers have emerged as aces, and document how coaching and scouting are being turned upside down. The MVP Machine charts the future of a sport and offers a lesson that goes beyond baseball: Success stems not from focusing on finished products, but from making the most of untapped potential.