The Book

The Book

Author:

Publisher: Potomac Books, Inc.

Published: 2007

Total Pages: 458

ISBN-13: 1597973653

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Baseball "by The Book."


Playing the Percentages

Playing the Percentages

Author: Derek Long

Publisher: University of Texas Press

Published: 2024-04-16

Total Pages: 310

ISBN-13: 1477328963

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A history of film distribution in the United States from the 1910s to the 1930s, concentrating on booking, circuiting, and packaging marketing practices. Told not as a “golden age” narrative of films, stars, or individual studios but as an economic history of the industry’s film distribution practices, Playing the Percentages is the story of how Hollywood’s vertically integrated studio system came to be. Studying the history of distribution during the growth of Hollywood, Derek Long makes a case for the domination of the studio system as the result of struggles over distribution practices. Through a combination of archival research, critical surveys of the film industry trade press, and economic analysis, Long uncovers a complex and ever-shifting system of wrangling between distributors and exhibitors. Challenging the overemphasis within scholarship on “block booking” as a monolithic distribution mode, and attending to distribution practices beyond simple circulation, Long highlights the crucial changes in film distribution brought about by live theater, the rise of features, and the transition to sound. Playing the Percentages is a comprehensive history of film distribution in the United States during the silent era that illustrates the importance of power struggles between distributors and exhibitors over booking, pricing, and playing time.


The Hidden Game of Baseball

The Hidden Game of Baseball

Author: John Thorn

Publisher: University of Chicago Press

Published: 2015-03-20

Total Pages: 453

ISBN-13: 022627683X

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The acclaimed classic on the statistical analysis of baseball records in order to evaluate players and win more games. Long before Moneyball became a sensation or Nate Silver turned the knowledge he’d honed on baseball into electoral gold, John Thorn and Pete Palmer were using statistics to shake the foundations of the game. First published in 1984, The Hidden Game of Baseball ushered in the sabermetric revolution by demonstrating that we were thinking about baseball stats—and thus the game itself—all wrong. Instead of praising sluggers for gaudy RBI totals or pitchers for wins, Thorn and Palmer argued in favor of more subtle measurements that correlated much more closely to the ultimate goal: winning baseball games. The new gospel promulgated by Thorn and Palmer opened the door for a flood of new questions, such as how a ballpark’s layout helps or hinders offense or whether a strikeout really is worse than another kind of out. Taking questions like these seriously—and backing up the answers with data—launched a new era, showing fans, journalists, scouts, executives, and even players themselves a new, better way to look at the game. This brand-new edition retains the body of the original, with its rich, accessible analysis rooted in a deep love of baseball, while adding a new introduction by the authors tracing the book’s influence over the years. A foreword by ESPN’s lead baseball analyst, Keith Law, details The Hidden Game’s central role in the transformation of baseball coverage and team management and shows how teams continue to reap the benefits of Thorn and Palmer’s insights today. Thirty years after its original publication, The Hidden Game is still bringing the high heat—a true classic of baseball literature. Praise for The Hidden Game “As grateful as I was for the publication of The Hidden Game of Baseball when it first showed up on my bookshelf, I’m even more grateful now. It’s as insightful today as it was then. And it’s a reminder that we haven’t applauded Thorn and Palmer nearly loudly enough for their incredible contributions to the use and understanding of the awesome numbers of baseball.” —Jayson Stark, senior baseball writer, ESPN.com “Just as one cannot know the great American novel without Twain and Hemingway, one cannot know modern baseball analysis without Thorn and Palmer.” —Rob Neyer, FOX Sports


The New Bill James Historical Baseball Abstract

The New Bill James Historical Baseball Abstract

Author: Bill James

Publisher: Simon and Schuster

Published: 2010-05-11

Total Pages: 1026

ISBN-13: 1439106932

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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.


Diamond Dollars

Diamond Dollars

Author: Vince Gennaro

Publisher: Diamond Analytics

Published: 2013-12-14

Total Pages: 272

ISBN-13: 1310496307

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Diamond Dollars is a fresh, provocative, insightful, and analytical look at the business of baseball by author Vince Gennaro, a consultant to MLB teams. Gennaro addresses some key questions that affect how teams make decisions, how they assemble their roster, and ultimately, their bottom line: How does winning affect revenues for each team? How much value does a berth in the postseason generate for the Red Sox and Yankees? What is the Yankees’ marginal revenue vs. marginal cost of winning? What is the economic value of a highly productive Twins’ farm system? Why is a player’s value “situational”, depending on the competitiveness of his team and the market in which he plays? How much was Carlos Beltran worth to the Mets in 2006? How can we quantify Derek Jeter’s “marquee value”…his ability to draw fans? What is the relative cost of developing talent vs. buying it in the free agent market? How can we quantify Nomar Garciaparra’s injury risk and its impact on his dollar value? What is the dollar value of Cubs’ fans loyalty to their beloved team? How have the Red Sox, Yankees and Cubs built their team as a brand? How much Babe Ruth was worth to his Yankee teams of the 1920s and 1930s.? Baseball teams may have thought conceptually about some of these issues, but Diamond Dollars gives them the math to measure the effectiveness of their thinking and practices. This edition includes a 2013 preface by the author and a foreword by Jim Beattie, former Executive VP and General Manager of the Baltimore Orioles and Montreal Expos. “Diamond Dollars provides an insightful look at the business of baseball—at the free agent market, teams’ scouting and player development systems, and how clubs market their brands. The book mixes Vince’s business acumen as a top executive at a Fortune 50 company with his passion for the national pastime.” -Mark Attanasio, Chairman and Principal Owner, Milwaukee Brewers “Vince Gennaro shows a profound understanding of the economics of a team’s baseball decisions. His analyses of a team’s win-revenue relationship, the player development system and player valuation, make for a remarkably innovative examination of the baseball front office model that’s just as informative for a baseball executive as for a fan.” -Chris Antonetti, General Manager, Cleveland Indians “Diamond Dollars offers up exciting and stimulating new ideas about the business of baseball. It provides a set of metrics for decisions that have typically been a “gut feeling” for many organizations. I think teams should make this required reading for everyone in their organizations.” -Jim Beattie, former Executive VP and General Manager, Baltimore Orioles and Montreal Expos “Vince Gennaro has written the best book I’ve read on the business of baseball. It serves as both a “how-to manual” for baseball owners and a tour guide for fans who scratch their heads at the things their teams do. It should find plenty of readers in both camps.” -Dave Studenmund, Editor, The Hardball Times Annual


Smart Baseball

Smart Baseball

Author: Keith Law

Publisher: HarperCollins

Published: 2017-04-25

Total Pages: 363

ISBN-13: 0062490257

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Predictably Irrational meets Moneyball in ESPN veteran writer and statistical analyst Keith Law’s iconoclastic look at the numbers game of baseball, proving why some of the most trusted stats are surprisingly wrong, explaining what numbers actually work, and exploring what the rise of Big Data means for the future of the sport. For decades, statistics such as batting average, saves recorded, and pitching won-lost records have been used to measure individual players’ and teams’ potential and success. But in the past fifteen years, a revolutionary new standard of measurement—sabermetrics—has been embraced by front offices in Major League Baseball and among fantasy baseball enthusiasts. But while sabermetrics is recognized as being smarter and more accurate, traditionalists, including journalists, fans, and managers, stubbornly believe that the "old" way—a combination of outdated numbers and "gut" instinct—is still the best way. Baseball, they argue, should be run by people, not by numbers.? In this informative and provocative book, teh renowned ESPN analyst and senior baseball writer demolishes a century’s worth of accepted wisdom, making the definitive case against the long-established view. Armed with concrete examples from different eras of baseball history, logic, a little math, and lively commentary, he shows how the allegiance to these numbers—dating back to the beginning of the professional game—is firmly rooted not in accuracy or success, but in baseball’s irrational adherence to tradition. While Law gores sacred cows, from clutch performers to RBIs to the infamous save rule, he also demystifies sabermetrics, explaining what these "new" numbers really are and why they’re vital. He also considers the game’s future, examining how teams are using Data—from PhDs to sophisticated statistical databases—to build future rosters; changes that will transform baseball and all of professional sports.


Baseball Hacks

Baseball Hacks

Author: Joseph Adler

Publisher: "O'Reilly Media, Inc."

Published: 2006-01-31

Total Pages: 486

ISBN-13: 1491949422

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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


Analyzing Baseball Data with R, Second Edition

Analyzing Baseball Data with R, Second Edition

Author: Max Marchi

Publisher: CRC Press

Published: 2018-11-19

Total Pages: 302

ISBN-13: 1351107070

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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.