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Author: Travis Sawchik
Publisher: Macmillan + ORM
ISBN: 1250063515
Category : Sports & Recreation
Languages : en
Pages : 235
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Book Description
Big Data Baseball provides a behind-the-scenes look at how the Pittsburgh Pirates used big data strategies to end the longest losing streak in North American pro sports history. New York Times Bestseller After twenty consecutive losing seasons for the Pittsburgh Pirates, team morale was low, the club’s payroll ranked near the bottom of the sport, game attendance was down, and the city was becoming increasingly disenchanted with its team. Big Data Baseball is the story of how the 2013 Pirates, mired in the longest losing streak in North American pro sports history, adopted drastic big-data strategies to end the drought, make the playoffs, and turn around the franchise’s fortunes. Big Data Baseball is Moneyball for a new generation. Award-winning journalist Travis Sawchik takes you behind the scenes to expertly weave together the stories of the key figures who changed the way the Pirates played the game, revealing how a culture of collaboration and creativity flourished as whiz-kid analysts worked alongside graybeard coaches to revolutionize the sport and uncover groundbreaking insights for how to win more games without spending a dime. From pitch framing to on-field shifts, this entertaining and enlightening underdog story closely examines baseball’s burgeoning big data movement and demonstrates how the millions of data points which aren’t immediately visible to players and spectators, are the bit of magic that led the Pirates to finish the 2013 season in second place and brought an end to a twenty-year losing streak.
Author: Travis Sawchik
Publisher: Macmillan + ORM
ISBN: 1250063515
Category : Sports & Recreation
Languages : en
Pages : 235
Get Book Here
Book Description
Big Data Baseball provides a behind-the-scenes look at how the Pittsburgh Pirates used big data strategies to end the longest losing streak in North American pro sports history. New York Times Bestseller After twenty consecutive losing seasons for the Pittsburgh Pirates, team morale was low, the club’s payroll ranked near the bottom of the sport, game attendance was down, and the city was becoming increasingly disenchanted with its team. Big Data Baseball is the story of how the 2013 Pirates, mired in the longest losing streak in North American pro sports history, adopted drastic big-data strategies to end the drought, make the playoffs, and turn around the franchise’s fortunes. Big Data Baseball is Moneyball for a new generation. Award-winning journalist Travis Sawchik takes you behind the scenes to expertly weave together the stories of the key figures who changed the way the Pirates played the game, revealing how a culture of collaboration and creativity flourished as whiz-kid analysts worked alongside graybeard coaches to revolutionize the sport and uncover groundbreaking insights for how to win more games without spending a dime. From pitch framing to on-field shifts, this entertaining and enlightening underdog story closely examines baseball’s burgeoning big data movement and demonstrates how the millions of data points which aren’t immediately visible to players and spectators, are the bit of magic that led the Pirates to finish the 2013 season in second place and brought an end to a twenty-year losing streak.
Author: Travis Sawchik
Publisher: Flatiron Books
ISBN: 9781250094254
Category : Sports & Recreation
Languages : en
Pages : 0
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Book Description
Big Data Baseball provides a behind-the-scenes look at how the Pittsburgh Pirates used big data strategies to end the longest losing streak in North American pro sports history. New York Times Bestseller After twenty consecutive losing seasons for the Pittsburgh Pirates, team morale was low, the club’s payroll ranked near the bottom of the sport, game attendance was down, and the city was becoming increasingly disenchanted with its team. Big Data Baseball is the story of how the 2013 Pirates, mired in the longest losing streak in North American pro sports history, adopted drastic big-data strategies to end the drought, make the playoffs, and turn around the franchise’s fortunes. Big Data Baseball is Moneyball for a new generation. Award-winning journalist Travis Sawchik takes you behind the scenes to expertly weave together the stories of the key figures who changed the way the Pirates played the game, revealing how a culture of collaboration and creativity flourished as whiz-kid analysts worked alongside graybeard coaches to revolutionize the sport and uncover groundbreaking insights for how to win more games without spending a dime. From pitch framing to on-field shifts, this entertaining and enlightening underdog story closely examines baseball’s burgeoning big data movement and demonstrates how the millions of data points which aren’t immediately visible to players and spectators, are the bit of magic that led the Pirates to finish the 2013 season in second place and brought an end to a twenty-year losing streak.
Author: Richard D. Cramer
Publisher: U of Nebraska Press
ISBN: 1496215761
Category : Sports & Recreation
Languages : en
Pages : 317
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Book Description
Richard D. Cramer has been doing baseball analytics for just about as long as anyone alive, even before the term "sabermetrics" existed. He started analyzing baseball statistics as a hobby in the mid-1960s, not long after graduating from Harvard and MIT. He was a research scientist for SmithKline and in his spare time used his work computer to test his theories about baseball statistics. One of his earliest discoveries was that clutch hitting--then one of the most sacred pieces of received wisdom in the game--didn't really exist. In When Big Data Was Small Cramer recounts his life and remarkable contributions to baseball knowledge. In 1971 Cramer learned about the Society for American Baseball Research (SABR) and began working with Pete Palmer, whose statistical work is credited with providing the foundation on which SABR is built. Cramer cofounded STATS Inc. and began working with the Houston Astros, Oakland A's, Yankees, and White Sox, with the help of his new Apple II computer. Yet for Cramer baseball was always a side interest, even if a very intense one for most of the last forty years. His main occupation, which involved other "big data" activities, was that of a chemist who pioneered the use of specialized analytics, often known as computer-aided drug discovery, to help guide the development of pharmaceutical drugs. After a decade-long hiatus, Cramer returned to baseball analytics in 2004 and has done important work with Retrosheet since then. When Big Data Was Small is the story of the earliest days of baseball analytics and computer-aided drug discovery.
Author: Ben Lindbergh
Publisher: Basic Books
ISBN: 9781541698925
Category : Sports & Recreation
Languages : en
Pages : 0
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Book Description
Move over, Moneyball -- a cutting-edge look at major league baseball's next 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 the 2017 Astros and 2018 Red Sox used cutting-edge technology to win the World Series 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.
Author:
Publisher: Potomac Books, Inc.
ISBN: 1597973653
Category : Baseball
Languages : en
Pages : 458
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Book Description
Baseball "by The Book."
Author: Max Marchi
Publisher: CRC Press
ISBN: 1351107070
Category : Mathematics
Languages : en
Pages : 302
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Book Description
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.
Author: Keith Law
Publisher: HarperCollins
ISBN: 0062490257
Category : Sports & Recreation
Languages : en
Pages : 363
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Book Description
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.
Author: Major League Baseball
Publisher: McClelland & Stewart
ISBN: 0771057350
Category : Sports & Recreation
Languages : en
Pages : 258
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Book Description
Since the first pitch was thrown, MLB has tracked the performance of every team and player, documented every hit and measured every home run. And while some plays are part of the everyday game, there are moments in baseball when a player's performance reaches a new level of greatness and new records are made. The Major League Baseball Ultimate Book of Records catalogs the game's most remarkable achievements, as well as some of the less traditional and quirky stats that all play a part in the game. MLB's team of in-house writers, researchers and historians have scoured the history of the game and written the most accurate, complete and definitive record of baseball stats and achievements. Major League Baseball Ultimate Book of Records documents the absolute best of the best and packs each achievement into this lavishly illustrated book where fans will be treated to never-before-seen photographs of their favourite players. Double-page spreads will show Henderson racing to second base to claim the stolen base record, while another full color spread celebrates Bond's crushing hit that set a new threshold for most home-runs. All the records are here, each with an account of events and spectacular photographs that make this truly the most spectacular baseball book ever published.
Author: Vince Gennaro
Publisher: Diamond Analytics
ISBN: 1310496307
Category : Sports & Recreation
Languages : en
Pages : 272
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Book Description
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
Author: Michael Lewis
Publisher: W. W. Norton & Company
ISBN: 0393066231
Category : Sports & Recreation
Languages : en
Pages : 337
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Book Description
Michael Lewis’s instant classic may be “the most influential book on sports ever written” (People), but “you need know absolutely nothing about baseball to appreciate the wit, snap, economy and incisiveness of [Lewis’s] thoughts about it” (Janet Maslin, New York Times). One of GQ's 50 Best Books of Literary Journalism of the 21st Century Just before the 2002 season opens, the Oakland Athletics must relinquish its three most prominent (and expensive) players and is written off by just about everyone—but then comes roaring back to challenge the American League record for consecutive wins. How did one of the poorest teams in baseball win so many games? In a quest to discover the answer, Michael Lewis delivers not only “the single most influential baseball book ever” (Rob Neyer, Slate) but also what “may be the best book ever written on business” (Weekly Standard). Lewis first looks to all the logical places—the front offices of major league teams, the coaches, the minds of brilliant players—but discovers the real jackpot is a cache of numbers?numbers!?collected over the years by a strange brotherhood of amateur baseball enthusiasts: software engineers, statisticians, Wall Street analysts, lawyers, and physics professors. What these numbers prove is that the traditional yardsticks of success for players and teams are fatally flawed. Even the box score misleads us by ignoring the crucial importance of the humble base-on-balls. This information had been around for years, and nobody inside Major League Baseball paid it any mind. And then came Billy Beane, general manager of the Oakland Athletics. He paid attention to those numbers?with the second-lowest payroll in baseball at his disposal he had to?to conduct an astonishing experiment in finding and fielding a team that nobody else wanted. In a narrative full of fabulous characters and brilliant excursions into the unexpected, Michael Lewis shows us how and why the new baseball knowledge works. He also sets up a sly and hilarious morality tale: Big Money, like Goliath, is always supposed to win . . . how can we not cheer for David?
