Big Data Baseball

Big Data Baseball
Author: Travis Sawchik
Publisher: Flatiron Books
Total Pages: 0
Release: 2016-05-03
Genre: Sports & Recreation
ISBN: 9781250094254

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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.

Big Data Baseball

Big Data Baseball
Author: Travis Sawchik
Publisher: Macmillan + ORM
Total Pages: 235
Release: 2015-05-19
Genre: Sports & Recreation
ISBN: 1250063515

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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.

The MVP Machine

The MVP Machine
Author: Ben Lindbergh
Publisher: Basic Books
Total Pages: 428
Release: 2019-06-04
Genre: Sports & Recreation
ISBN: 1541698959

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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.

The Big Book of Jewish Baseball

The Big Book of Jewish Baseball
Author: Peter S. Horvitz
Publisher: SP Books
Total Pages: 292
Release: 2001
Genre: Biography & Autobiography
ISBN: 9781561719730

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The first comprehensive, encyclopaedic work devoted exclusively to every Jewish contributor, large and small, to Major League Baseball. Its packed with: Rare photographs of players on and off the field; Full player statistics; Rare memorabilia; Exclusive original interviews. Jews who impacted upon the Great American Pastime extend far beyond the record strikeouts and round trippers of the legendary Sandy Koufax and Hank Greenberg. And there are scores of ballplayers like Lipman Pike, Shawn Green, Cal Abrams and Eddie Zosky whose little-known Baseball stories will touch or amuse readers of any background. Beyond life-time batting averages, there are intriguing players like catcher Moe Berg who served his country as a secret agent during WWII. While the tragic life of Bruce Gardner may bring tears to readers eyes, the exploits of 'Clown Princes' Al Schact and Max Patkin will have fans rolling with laughter. Nowhere else will one read tributes to great Jewish baseball executives and owners whose vision built some of historys most successful teams. Al Rosen may have gone from the All-Star team to the front-office Hall of Fame, but some of the most famous self-made success stories of this century honed their competitive spirit on the stickball courts of Jewish ghettos. This one-of-a-kind book will be much-in-demand by both baseball and Judaica book buyers.

Analyzing Baseball Data with R, Second Edition

Analyzing Baseball Data with R, Second Edition
Author: Max Marchi
Publisher: CRC Press
Total Pages: 318
Release: 2018-11-19
Genre: Mathematics
ISBN: 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.

When Big Data Was Small

When Big Data Was Small
Author: Richard D. Cramer
Publisher: U of Nebraska Press
Total Pages: 254
Release: 2019-05-01
Genre: Biography & Autobiography
ISBN: 1496212053

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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.

Full Count

Full Count
Author: Brad Herzog
Publisher: Sleeping Bear Press
Total Pages: 33
Release: 2011-03-04
Genre: Juvenile Nonfiction
ISBN: 1585365971

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Following his H is for Home Run: A Baseball Alphabet, Brad Herzog once again steps to the plate to bring the game of baseball to fans of every age. Using numbers as its backdrop, Full Count: A Baseball Number Book goes behind the batter's box and into the dugout to explain game basics and showcase historic moments. Starting with the signal for a fastball (1), to the miles-per-hour speed on some of the fastest pitches ever thrown (100+), Full Count counts out the players, the plays, and pulse-stopping moments in America's favorite sport. Brad Herzog has won several awards from the Council for the Advancement and Support of Education. He has published more than two dozen books, including his sports alphabet books, H is for Home Run: A Baseball Alphabet and K is for Kick: A Soccer Alphabet. Brad lives on California's Monterey Peninsula. Following successful careers as a commercial illustrator and a wildlife artist, Bruce Langton started illustrating children's books. His books include P is for Putt: A Golf Alphabet and Win One for the Gipper: America's Football Hero. Bruce lives in Granger, Indiana.

Moneyball: The Art of Winning an Unfair Game

Moneyball: The Art of Winning an Unfair Game
Author: Michael Lewis
Publisher: W. W. Norton & Company
Total Pages: 336
Release: 2004-03-17
Genre: Sports & Recreation
ISBN: 0393066231

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"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.

Analyzing Baseball Data with R

Analyzing Baseball Data with R
Author: Max Marchi
Publisher: CRC Press
Total Pages: 334
Release: 2016-04-05
Genre: Mathematics
ISBN: 1466570237

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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.

The Church of Baseball

The Church of Baseball
Author: Ron Shelton
Publisher: Vintage
Total Pages: 257
Release: 2023-06-20
Genre: Biography & Autobiography
ISBN: 0593313968

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LA TIMES BESTSELLER • From the award-winning screenwriter and director of cult classic Bull Durham, the extremely entertaining behind-the-scenes story of the making of the film, and an insightful primer on the art and business of moviemaking. "This book tells you how to make a movie—the whole nine innings of it—out of nothing but sheer will.” —Tony Gilroy, writer/director of Michael Clayton and The Bourne Legacy "The only church that truly feeds the soul, day in, day out, is the church of baseball."—Annie in Bull Durham Bull Durham, the breakthrough 1988 film about a minor league baseball team, is widely revered as the best sports movie of all time. But back in 1987, Ron Shelton was a first-time director and no one was willing to finance a movie about baseball—especially a story set in the minors. The jury was still out on Kevin Costner’s leading-man potential, while Susan Sarandon was already a has-been. There were doubts. But something miraculous happened, and The Church of Baseball attempts to capture why. From organizing a baseball camp for the actors and rewriting key scenes while on set, to dealing with a short production schedule and overcoming the challenge of filming the sport, Shelton brings to life the making of this beloved American movie. Shelton explains the rarely revealed ins and outs of moviemaking, from a film’s inception and financing, screenwriting, casting, the nuts and bolts of directing, the postproduction process, and even through its release. But this is also a book about baseball and its singular romance in the world of sports. Shelton spent six years in the minor leagues before making this film, and his experiences resonate throughout this book. Full of wry humor and insight, The Church of Baseball tells the remarkable story behind an iconic film.