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Practicing Sabermetrics
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Book Synopsis Practicing Sabermetrics by : Gabriel B. Costa
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.
Book Synopsis Understanding Sabermetrics by : Gabriel B. Costa
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 Sabermetrics written by Gabriel B. Costa and published by Academic Press. This book was released on 2021-10-27 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sabermetrics: Baseball, Steroids, and How the Game has Changed Over the Past Two Generations offers an introduction to this increasing area of interest to statisticians, students of the game, and many others. Pairing a primer on the applied math with an overview of the origin of the field and its context within baseball today, the work provides an engaging resource for students and interested readers. It includes coverage of relevant baseball history, Bill James and SABR, broken records and steroids. Drawing on the author’s experience teaching the subject at Seton Hall University since 1988, Sabermetrics also offers practice questions and solutions for class use. Provides an accessible, brief introduction to the practice of sabermetrics Approaches the topic in context with recent trends and issues in baseball Includes questions and solutions for math practice
Book Synopsis Reasoning with Sabermetrics by : Gabriel B. Costa
Download or read book Reasoning with Sabermetrics written by Gabriel B. Costa and published by McFarland. This book was released on 2012-08-17 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sabermetrics, the specialized analysis of baseball through empirical evidence, provides an impartial perspective from which to explore the game. In this work, the third in a series, three mathematicians employ statistical science in an attempt to answer some of baseball's toughest questions. For instance, how good were the 1961 New York Yankees? How bad were the 1962 Mets? Which team was the best of the Deadball Era? They also strive to determine baseball's greatest player at various positions. Throughout, the objective evidence allows for debate devoid of emotion and personal biases, providing a fresh, balanced evaluation of these and many other challenging questions. Instructors considering this book for use in a course may request an examination copy here.
Book Synopsis The Sabermetric Revolution by : Benjamin Baumer
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.
Book Synopsis Moneyball: The Art of Winning an Unfair Game by : Michael Lewis
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.
Book Synopsis Analyzing Baseball Data with R, Second Edition by : Max Marchi
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.
Book Synopsis Understanding Sabermetrics by : Gabriel B. Costa,
Download or read book Understanding Sabermetrics written by Gabriel B. Costa, and published by McFarland. This book was released on 2019-06-07 with total page 220 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.
Book Synopsis Introduction to Data Science by : Rafael A. Irizarry
Download or read book Introduction to Data Science written by Rafael A. Irizarry and published by CRC Press. This book was released on 2019-11-20 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.
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
Book Synopsis Benchmarking in Institutional Research by : Gary D. Levy
Download or read book Benchmarking in Institutional Research written by Gary D. Levy and published by John Wiley & Sons. This book was released on 2012-12-21 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the term benchmarking is commonplace nowadays in institutional research and higher education, less common, is a solid understanding of what it really means and how it has been, and can be, used effectively. This volume begins by defining benchmarking as “a strategic and structured approach whereby an organization compares aspects of its processes and/or outcomes to those of another organization or set of organizations to identify opportunities for improvement.” Building on this definition, the chapters provide a brief history of the evolution and emergence of benchmarking in general and in higher education in particular. The authors apply benchmarking to: Enrollment management and student success Institutional effectiveness The potential economic impact of higher education institutions on their host communities. They look at the use of national external survey data in institutional benchmarking and selection of peer institutions, introduce multivariate statistical methodologies for guiding that selection, and consider a novel application of baseball sabermetric methods. The volume offers a solid starting point for those new to benchmarking in higher education and provides examples of current best practices and prospective new directions. This is the 156th volume of this Jossey-Bass series. Always timely and comprehensive, New Directions for Institutional Research provides planners and administrators in all types of academic institutions with guidelines in such areas as resource coordination, information analysis, program evaluation, and institutional management.
Book Synopsis Big Data Baseball by : Travis Sawchik
Download or read book Big Data Baseball written by Travis Sawchik and published by Macmillan + ORM. This book was released on 2015-05-19 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Teaching Statistics Using Baseball by : Jim Albert
Download or read book Teaching Statistics Using Baseball written by Jim Albert and published by American Mathematical Society. This book was released on 2022-02-04 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teaching Statistics Using Baseball is a collection of case studies and exercises applying statistical and probabilistic thinking to the game of baseball. Baseball is the most statistical of all sports since players are identified and evaluated by their corresponding hitting and pitching statistics. There is an active effort by people in the baseball community to learn more about baseball performance and strategy by the use of statistics. This book illustrates basic methods of data analysis and probability models by means of baseball statistics collected on players and teams. Students often have difficulty learning statistics ideas since they are explained using examples that are foreign to the students. The idea of the book is to describe statistical thinking in a context (that is, baseball) that will be familiar and interesting to students. The book is organized using a same structure as most introductory statistics texts. There are chapters on the analysis on a single batch of data, followed with chapters on comparing batches of data and relationships. There are chapters on probability models and on statistical inference. The book can be used as the framework for a one-semester introductory statistics class focused on baseball or sports. This type of class has been taught at Bowling Green State University. It may be very suitable for a statistics class for students with sports-related majors, such as sports management or sports medicine. Alternately, the book can be used as a resource for instructors who wish to infuse their present course in probability or statistics with applications from baseball. The second edition of Teaching Statistics follows the same structure as the first edition, where the case studies and exercises have been replaced by modern players and teams, and the new types of baseball data from the PitchFX system and fangraphs.com are incorporated into the text.
Book Synopsis Analyzing Baseball Data with R by : Max Marchi
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 334 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.
Book Synopsis Sports Performance Measurement and Analytics by : Lorena Martin
Download or read book Sports Performance Measurement and Analytics written by Lorena Martin and published by FT Press. This book was released on 2016-02-03 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: A PRACTICAL, REAL-WORLD GUIDE TO ANALYTICS FOR THE 5 MAJOR SPORTS: FOOTBALL, BASKETBALL, BASEBALL, SOCCER, AND TENNIS GAIN A COMPETITIVE EDGE! This is the first real-world guide to building and using analytical models for measuring and assessing performance in the five major sports: football, basketball, baseball, soccer, and tennis. Unlike books that focus strictly on theory, this book brings together sports measurement and statistical analyses, demonstrating how to examine differences across sports as well as between player positions. This book will provide you with the tools for cutting-edge approaches you can extend to the sport of your choice. Expert Northwestern University data scientist, UC San Diego researcher, and competitive athlete, Lorena Martin shows how to use measures and apply statistical models to evaluate players, reduce injuries, and improve sports performance. You’ll learn how to leverage a deep understanding of each sport’s principles, rules, attributes, measures, and performance outcomes. Sports Performance Measurement and Analytics will be an indispensable resource for anyone who wants to bring analytical rigor to athletic competition: students, professors, analysts, fans, physiologists, coaches, managers, and sports executives alike. All data sets, extensive code, and additional examples are available for download at http://www.ftpress.com/martin/ What are the qualities a person must have to become a world-class athlete? This question and many more can be answered through research, measurement, statistics, and analytics. This book gives athletes, trainers, coaches, and managers a better understanding of measurement and analytics as they relate to sports performance. To develop accurate measures, we need to know what we want to measure and why. There is great power in accurate measures and statistics. Research findings can show us how to prevent injuries, evaluate strengths and weaknesses, improve team cohesion, and optimize sports performance. This book serves many readers. People involved with sports will gain an appreciation for performance measures and analytics. People involved with analytics will gain new insights into quantified values representing physical, physiological, and psychological components of sports performance. And students eager to learn about sports analytics will have a practical introduction to the field. This is a thorough introduction to performance measurement and analytics for five of the world’s leading sports. The only book of its kind, it offers a complete overview of the most important concepts, rules, measurements, and statistics for each sport, while demonstrating applications of real-world analytics. You’ll find practical, state-of-the-art guidance on predicting future outcomes, evaluating an athlete’s market value, and more.
Author :Society for American Baseball Research (SABR) Publisher :U of Nebraska Press ISBN 13 :0803240252 Total Pages :396 pages Book Rating :4.8/5 (32 download)
Book Synopsis The Team That Forever Changed Baseball and America by : Society for American Baseball Research (SABR)
Download or read book The Team That Forever Changed Baseball and America written by Society for American Baseball Research (SABR) and published by U of Nebraska Press. This book was released on 2012-04-01 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Of all the teams in the annals of baseball, only a select few can lay claim to historic significance. One of those teams is the 1947 Brooklyn Dodgers, the first racially integrated Major League team of the twentieth century. The addition of Jackie Robinson to its roster changed not only baseball but also the nation. Yet Robinson was just one member of that memorable club, which included Carl Furillo, Gil Hodges, Pee Wee Reese, Pete Reiser, Duke Snider, Eddie Stanky, Arky Vaughan, and Dixie Walker. Also present was a quartet of baseball’s most unforgettable characters: co-owners Branch Rickey and Walter O’Malley, suspended manager Leo Durocher, and radio announcer Red Barber. This book is the first to offer biographies of everyone on that incomparable team as well as accounts of the moments and events that marked the Dodgers’ 1947 season: Commissioner Happy Chandler suspending Durocher, Rickey luring his old friend Burt Shotton out of retirement to replace Durocher, and brilliant outfielder Reiser being sidelined after running into a fence. In spite of all this, the Dodgers went on to win the National League pennant over the heavily favored St. Louis Cardinals. And of course, there is the biggest story of the season, where history and biography coalesce: Jackie Robinson, who overcame widespread hostility to become Rookie of the Year—and to help the Dodgers set single-game attendance records in cities around the National League.
Book Synopsis The Beauty of Short Hops by : Sheldon Hirsch
Download or read book The Beauty of Short Hops written by Sheldon Hirsch and published by McFarland. This book was released on 2014-01-10 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sabermetrics, the search for objective knowledge about baseball through statistical analysis, has taken over the national pastime. The authors argue that this approach began as a useful corrective but has come to harm baseball. The book demonstrates that the so-called moneyball approach, based on sabermetrics, offers only limited guidance for assembling a team, managing games, and evaluating player performance. Equally important, the obsession with statistics and vision of the game as wholly predictable obscure baseball's spectacular improvisational quality. It is the game's unquantifiable and relentless capacity to surprise--the source of wonder so central to its greatest stories and personalities--that informs any real appreciation of baseball.
