Playing The Percentages In Baseball

Download full Playing The Percentages In Baseball books PDF, EPUB, Tuebl, Textbook, Mobi or read online Playing The Percentages In Baseball anytime and anywhere on any device. Get free access to the library by create an account, fast download and ads free.

The Book

The Book
  • Author : Tom M. Tango,Mitchel G. Lichtman,Andrew E. Dolphin
  • Publisher :
  • Release Date :2007
  • Total pages :385
  • ISBN : 1597971294
GET BOOK

Summary : Written by three esteemed baseball statisticians, The Bookcontinues where the legendary Bill James’s Baseball Abstractsand Palmer and Thorn’s The Hidden Game of Baseballleft off more than twenty years ago. Continuing in the grand tradition of sabermetrics, the authors provide a revolutionary way to think about baseball with principles that can be applied at every level, from high school to the major leagues. Tom Tango, Mitchel Lichtman, and Andrew Dolphin cover topics such as batting and pitching matchups, platooning, the benefits and risks of intentional walks and sacrifices, the legitimacy of alleged clutch hitters, and many of baseball’s other theories on hitting, fielding, pitching, and even baserunning. They analyze when a strategy is a good idea and when it’s a bad idea, and how to more closely watch the inside game of baseball. Whenever you hear an announcer talk about the unwritten rule or say that so-and-so is going by the book in bringing in a situational substitute, The Bookreviews the facts and determines what the real case is. If you want to know what the folks in baseball should be doing, find out in The Book.

The Book

The Book
  • Author : Tom Tango,Mitchel Lichtman,Andrew Dolphin
  • Publisher :
  • Release Date :2014-04-28
  • Total pages :398
  • ISBN : 9781494260170
GET BOOK

Summary : Written by three esteemed baseball statisticians, The Book continues where the legendary Bill James's Baseball Abstracts and Palmer and Thorn's The Hidden Game of Baseball left off more than twenty years ago. Continuing in the grand tradition of sabermetrics, the authors provide a revolutionary way to think about baseball with principles that can be applied at every level, from high school to the major leagues.Tom Tango, Mitchel Lichtman, and Andrew Dolphin cover topics such as batting and pitching matchups, platooning, the benefits and risks of intentional walks and sacrifices, the legitimacy of alleged “clutch” hitters, and many of baseball's other theories on hitting, fielding, pitching, and even baserunning. They analyze when a strategy is a good idea and when it's a bad idea, and how to more closely watch the “inside” game of baseball.Whenever you hear an announcer talk about the “unwritten rule” or say that so-and-so is going “by the book” in bringing in a situational substitute, The Book reviews the facts and determines what the real case is. If you want to know what the folks in baseball should be doing, find out in The Book.

Percentage Baseball

Percentage Baseball
  • Author : Earnshaw Cook
  • Publisher :
  • Release Date :2003-02-01
  • Total pages :432
  • ISBN : 9780262532150
GET BOOK

Summary : How to play percentage baseball--and win! Irrefutable mathematical findings.

The New Bill James Historical Baseball Abstract

The New Bill James Historical Baseball Abstract
  • Author : Bill James
  • Publisher :
  • Release Date :2010-05-11
  • Total pages :1024
  • ISBN : 9781439106938
GET BOOK

Summary : 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.

The Hidden Game of Baseball

The Hidden Game of Baseball
  • Author : John Thorn,Pete Palmer,David Reuther
  • Publisher :
  • Release Date :2015-03-20
  • Total pages :440
  • ISBN : 022627683X
GET BOOK

Summary : 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.

Baseball Hacks

Baseball Hacks
  • Author : Joseph Adler
  • Publisher :
  • Release Date :2006-01-31
  • Total pages :472
  • ISBN : 1491949422
GET BOOK

Summary : 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

Understanding Sabermetrics

Understanding Sabermetrics
  • Author : Gabriel B. Costa,,Michael R. Huber,John T. Saccoman
  • Publisher :
  • Release Date :2019-06-07
  • Total pages :220
  • ISBN : 1476635021
GET BOOK

Summary : 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.

Analyzing Baseball Data with R, Second Edition

Analyzing Baseball Data with R, Second Edition
  • Author : Max Marchi,Jim Albert,Benjamin S. Baumer
  • Publisher :
  • Release Date :2018-11-19
  • Total pages :342
  • ISBN : 1351107089
GET BOOK

Summary : 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.

Baseball Between the Numbers

Baseball Between the Numbers
  • Author : Jonah Keri,Baseball Prospectus
  • Publisher :
  • Release Date :2007-02-27
  • Total pages :496
  • ISBN : 0465003737
GET BOOK

Summary : In the numbers-obsessed sport of baseball, statistics don't merely record what players, managers, and owners have done. Properly understood, they can tell us how the teams we root for could employ better strategies, put more effective players on the field, and win more games. The revolution in baseball statistics that began in the 1970s is a controversial subject that professionals and fans alike argue over without end. Despite this fundamental change in the way we watch and understand the sport, no one has written the book that reveals, across every area of strategy and management, how the best practitioners of statistical analysis in baseball-people like Bill James, Billy Beane, and Theo Epstein-think about numbers and the game. Baseball Between the Numbers is that book. In separate chapters covering every aspect of the game, from hitting, pitching, and fielding to roster construction and the scouting and drafting of players, the experts at Baseball Prospectus examine the subtle, hidden aspects of the game, bring them out into the open, and show us how our favorite teams could win more games. This is a book that every fan, every follower of sports radio, every fantasy player, every coach, and every player, at every level, can learn from and enjoy.

Moneyball: The Art of Winning an Unfair Game

Moneyball: The Art of Winning an Unfair Game
  • Author : Michael Lewis
  • Publisher :
  • Release Date :2004-03-17
  • Total pages :320
  • ISBN : 9780393066234
GET BOOK

Summary : "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.

Astroball

Astroball
  • Author : Ben Reiter
  • Publisher :
  • Release Date :2018-07-10
  • Total pages :288
  • ISBN : 0525576665
GET BOOK

Summary : NEW YORK TIMES BESTSELLER When Sports Illustrated declared on the cover of a June 2014 issue that the Houston Astros would win the World Series in 2017, people thought Ben Reiter, the article’s author, was crazy. The Astros were the worst baseball team in half a century, but they were more than just bad. They were an embarrassment, a club that didn’t even appear to be trying to win. The cover story, combined with the specificity of Reiter’s claim, met instant and nearly universal derision. But three years later, the critics were proved improbably, astonishingly wrong. How had Reiter predicted it so accurately? And, more important, how had the Astros pulled off the impossible? Astroball is the inside story of how a gang of outsiders went beyond the stats to find a new way to win—and not just in baseball. When new Astros general manager Jeff Luhnow and his top analyst, the former rocket scientist Sig Mejdal, arrived in Houston in 2011, they had already spent more than half a decade trying to understand how human instinct and expertise could be blended with hard numbers such as on-base percentage and strikeout rate to guide their decision-making. In Houston, they had free rein to remake the club. No longer would scouts, with all their subjective, hard-to-quantify opinions, be forced into opposition with the stats guys. Instead, Luhnow and Sig wanted to correct for the biases inherent in human observation, and then roll their scouts’ critical thoughts into their process. The numbers had value—but so did the gut. The strategy paid off brilliantly, and surprisingly quickly. It pointed the Astros toward key draft picks like Carlos Correa and Alex Bregman; offered a path for developing George Springer, José Altuve, and Dallas Keuchel; and showed them how veterans like Carlos Beltrán and Justin Verlander represented the last piece in the puzzle of fielding a championship team. Sitting at the nexus of sports, business, and innovation—and written with years of access to the team’s stars and executives—Astroball is the story of the next wave of thinking in baseball and beyond, at once a remarkable underdog story and a fascinating look at the cutting edge of evaluating and optimizing human potential.

Smart Baseball

Smart Baseball
  • Author : Keith Law
  • Publisher :
  • Release Date :2017-04-25
  • Total pages :304
  • ISBN : 0062490257
GET BOOK

Summary : 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.

Big Data Baseball

Big Data Baseball
  • Author : Travis Sawchik
  • Publisher :
  • Release Date :2015-05-19
  • Total pages :256
  • ISBN : 1250063515
GET BOOK

Summary : 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. Pittsburghers joked their town was the city of champions...and the Pirates. 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. 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 small-market Pirates played the game. For manager Clint Hurdle and the front office staff to save their jobs, they could not rely on a free agent spending spree, instead they had to improve the sum of their parts and find hidden value. They had to change. From Hurdle shedding his old-school ways to work closely with Neal Huntington, the forward-thinking data-driven GM and his team of talented analysts; to pitchers like A. J. Burnett and Gerrit Cole changing what and where they threw; to Russell Martin, the undervalued catcher whose expert use of the nearly-invisible skill of pitch framing helped the team's pitchers turn more balls into strikes; to Clint Barmes, a solid shortstop and one of the early adopters of the unconventional on-field shift which forced the entire infield to realign into positions they never stood in before. Under Hurdle's leadership, a culture of collaboration and creativity flourished as he successfully blended whiz kid analysts with graybeard coaches—a kind of symbiotic teamwork which was unique to the sport. Big Data Baseball is Moneyball on steroids. It is an entertaining and enlightening underdog story that uses the 2013 Pirates season as the perfect lens to examine the sport's burgeoning big-data movement. With the help of data-tracking systems like PitchF/X and TrackMan, the Pirates collected millions of data points on every pitch and ball in play to create a tome of color-coded reports that revealed groundbreaking insights for how to win more games without spending a dime. In the process, they discovered that most batters struggled to hit two-seam fastballs, that an aggressive defensive shift on the field could turn more batted balls into outs, and that a catcher's most valuable skill was hidden. All these data points which aren't immediately visible to players and spectators, are the bit of magic that led the Pirates to spin straw in to gold, finish the 2013 season in second place, end a twenty-year losing streak.

Practicing Sabermetrics

Practicing Sabermetrics
  • Author : Gabriel B. Costa,,Michael R. Huber,John T. Saccoman
  • Publisher :
  • Release Date :2009-10-21
  • Total pages :240
  • ISBN : 0786454466
GET BOOK

Summary : 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.

The MVP Machine

The MVP Machine
  • Author : Ben Lindbergh,Travis Sawchik
  • Publisher :
  • Release Date :2020-04-07
  • Total pages :416
  • ISBN : 9781541698925
GET BOOK

Summary : 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.

Analyzing Baseball Data with R

Analyzing Baseball Data with R
  • Author : N.A
  • Publisher :
  • Release Date :2018-01-17
  • Total pages :334
  • ISBN : 1315360594
GET BOOK

Summary : 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 Extra 2%

The Extra 2%
  • Author : Jonah Keri
  • Publisher :
  • Release Date :2011
  • Total pages :253
  • ISBN : 0345517652
GET BOOK

Summary : A case study of effective business practices demonstrated by a champion sports organization traces the Tampa Bay Devil Rays takeover by two former Goldman Sachs partners and the subsequent rebranding and executive strategies that rendered the team a model franchise.

Weaver on Strategy

Weaver on Strategy
  • Author : Earl Weaver,Terry Pluto
  • Publisher :
  • Release Date :2002
  • Total pages :196
  • ISBN : 9781574884241
GET BOOK

Summary : Describes the art of managing, from tactics to motivating players

The Science of Baseball

The Science of Baseball
  • Author : A. Terry Bahill
  • Publisher :
  • Release Date :2017-12-19
  • Total pages :223
  • ISBN : 3319670328
GET BOOK

Summary : This book describes the dynamic collisions between baseballs, softballs, and bats, and the intricate modeling of these interactions, using only Newton’s basic principles and the conservation laws of physics. Veteran baseball science author Terry Bahill explains models for the speed and spin of balls and bats and equations for bat-ball collisions at a level accessible to high school and undergraduate physics students, engineering students, and, most importantly, students of the science of baseball. Unlike other, more technical accounts of these phenomena that exhibit similar rigor, the models presented in this volume use only basic physical principles to describe simple collision configurations. Elucidating the most important factors for understanding bat performance—bat weight, moment of inertia, the coefficient of restitution, and characteristics of humans swinging the bats, Dr. Bahill also explains physical aspects of the ideal bat and the sweet spot. • Explains how to select or design an optimal baseball or softball bat and create models for bat-ball collisions using only fundamental principles of mechanics from high school physics; • Describes the results of the collision between baseball and bat using basic mathematics such as equations for the speed of the ball after the collision, bat speed after the collision, and bat rotation after the collision; •Accessible to high school and undergraduate students as well as non-technical aficionados of the science of baseball. “Dr. Bahill’s book is the perfect tool for teaching how to solve some of baseball’s basic science problems. Using only simple Newtonian principles and the conservation laws, Dr. Bahill explains how to model bat-ball collisions. Also, he derives equations governing the flight of the ball, and proceeds to show what factors affect air density and how this density affects the ball’s flight. And as a unique addition to his fine book, he provides advice for selecting the optimal bat—a surprising bonus!” Dave Baldwin, PhD Major League pitcher, 1966-1973, lifetime Major League ERA, 3.08 “If I were the General Manger of a baseball team, I would tell my people to write a ten-page paper describing what this book contains that could improve our performance. I think the book provides the foundation for change.” Bruce Gissing Executive VP-Operations (retired) Boeing Commercial Airplanes “[I] had a chance to read your research, and I fully agree with your findings.” Baseball Legend Ted Williams, in a 1984 letter to the author

A Fan's Guide to Baseball Analytics

A Fan's Guide to Baseball Analytics
  • Author : Anthony Castrovince
  • Publisher :
  • Release Date :2020-05-12
  • Total pages :240
  • ISBN : 1683583450
GET BOOK

Summary : Broken up into sections (pitching, fielding, hitting), this authoritative yet fun and easy guide will help readers young and old fully understand and comprehend the statistics that are the present and future of our national pastime. We all know what a .300 hitter looks like. The same with a 20-game winner. Those numbers are ingrained in our brains. But do they mean as much as we think? Do we feel the same way when we hear a batter has a .390 wOBA? How about a pitcher with a 1.2 WHIP? These statistics are the future of modern baseball, and no fan should be in the dark about how these metrics apply to the game. In the last twenty years, an avalanche of analytics has taken over the way the game is played, managed, and assessed, but the statistics that drive the sport (metrics like wRC+, FIP, and WAR, just to name a few) read like alphabet soup to a large number of fans who still think batting average, RBIs, and wins are the best barometers for baseball players. In A Fan’s Guide to Baseball Analytics, MLB.com reporter and columnist Anthony Castrovince has taken on the role as explainer to help such fans understand why the old stats don’t always add up. Readers will also learn where these modern stats came from, what they convey, and how to use them to evaluate players of the present, past, and future. For instance, what if we told you that when Joe DiMaggio had his famous 56-game hitting streak in 1941, helping him win the AL MVP, that there was, perhaps, someone more deserving? In fact, the great Ted Williams actually had a higher fWAR, bWAR, wRC+, OPS, OPS+, ISO, RC . . . well, you get the picture. So, streak or no streak, Williams should have been league MVP. An introductory course on sabermetrics, A Fan’s Guide to Baseball Analytics is an easily digestible resource that readers can keep turning back to when they see a modern metric referenced in today’s baseball coverage.