Download or read book Player Win Averages written by Eldon G. Mills and published by . This book was released on 1970 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Numbers Game written by Alan Schwarz and published by Macmillan. This book was released on 2013-10-29 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Numbers Game is the first-ever history of baseball statistics - the keeping of them, the study of them, the people who devised them, the cultural phenomenon of them, from 1845 until today. Most baseball fans, players and even team executives assume that the National Pastime's infatuation with statistics is simply a byproduct of the information age, a phenomenon that blossomed only after the arrival of Bill James and computers in the 1980s. They couldn't be more wrong. In this unprecedented new book, Alan Schwarz - whom bestselling Moneyball author Michael Lewis calls "one of today's best baseball journalists" - provides the first-ever history of baseball statistics, showing how baseball and its numbers have been inseparable ever since the pastime's birth in 1845. He tells the history of this obsession through the lives of the people who felt it most: Henry Chadwick, the 19th-century writer who invented the first box score and harped endlessly about which statistics mattered and which did not; Allan Roth, Branch Rickey's right-hand numbers man with the late-1940s Brooklyn Dodgers; Earnshaw Cook, a scientist and Manhattan Project veteran who retired to pursue inventing the perfect baseball statistic; John Dewan, a former Strat-O-Matic maven who built STATS Inc. into a multimillion-dollar powerhouse for statistics over the Internet; and dozens more. Almost every baseball fan for 150 years has been drawn to the game by its statistics, whether through newspaper box scores, the backs of Topps baseball cards, The Baseball Encyclopedia, or fantasy leagues. Today's most ardent stat scientists, known as "sabermetricians," spend hundreds of hours coming up with new ways to capture the game in numbers, and engage in holy wars over which statistics are best. Some of these men--and women --are even being hired by major league teams to bring an understanding of statistics to a sport that for so long shunned it. Taken together, Schwarz paints a history not just of baseball statistics, but of the soul of the sport itself. The Numbers Game will be an invaluable part of any fan's library and go down as one of the sport's classic books.
Download or read book Player Won Lost Records in Baseball written by Tom Thress and published by McFarland. This book was released on 2017-09-25 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Baseball analysts often criticize pitcher win-loss records as a poor measure of pitcher performance, as wins are the product of team performance. Fans criticize WAR (Wins Above Replacement) because it takes in theoretical rather than actual wins. Player won-lost records bridge the gap between these two schools of thought, giving credit to all players for what they do--without credit or blame for teammates' performance--and measuring contributions to actual team wins and losses. The result is a statistic of player value that quantifies all aspects of individual performance, allowing for robust comparisons between players across different positions and different seasons. Using play-by-play data, this book examines players' won-lost records in Major League Baseball from 1930 through 2015.
Download or read book Anthology of Statistics in Sports written by Jim Albert and published by SIAM. This book was released on 2005-01-01 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: The unlikely worlds of sports fans and statisticians collide in this interesting and accessible collection of previously published articles on the use of statistics to analyze sports, which the editors have thoughtfully culled from a variety of American Statistical Association (ASA) publications. Heavily weighted in the areas of competition (rating players and teams, evaluating strategies for victory), the articles vary in mathematical complexity, but most will be accessible to readers with a general knowledge of statistics. Newly written material from the editors and other notable contributors introduces each section of the book, and a chapter with suggestions on using the articles in the classroom is included. Organized by sport to make it easy for readers to find the papers in their particular areas of interest, Anthology of Statistics in Sports contains separate sections devoted to the major North American team sports of baseball, football, basketball, and ice hockey. Two additional sections cover miscellaneous sports and more general issues related to sports and statistics. This book grew from the efforts of members of the ASA Section on Statistics in Sports, which is dedicated to promoting high professional standards in the application of statistics to sports and fostering statistical education in sports.
Download or read book The Wages of Wins written by David J. Berri and published by Stanford University Press. This book was released on 2007-09-04 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Arguing about sports is as old as the games people play. Over the years sports debates have become muddled by many myths that do not match the numbers generated by those playing the games. In The Wages of Wins, the authors use layman's language and easy to follow examples based on their own academic research to debunk many of the most commonly held beliefs about sports. In this updated version of their book, these authors explain why Allen Iverson leaving Philadelphia made the 76ers a better team, why the Yankees find it so hard to repeat their success from the late 1990s, and why even great quarterbacks like Brett Favre are consistently inconsistent. The book names names, and makes it abundantly clear that much of the decision making of coaches and general managers does not hold up to an analysis of the numbers. Whether you are a fantasy league fanatic or a casual weekend fan, much of what you believe about sports will change after reading this book.
Download or read book The Wages of Wins written by David Berri and published by Stanford University Press. This book was released on 2007-09-04 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Wages of Wins is a proper analysis of the data generated by professional sports; it tells many tales that are inconsistent with the myths put forward by the media, industry, and consumers of professional sport.
Download or read book The Psychology of Baseball written by Mike Stadler and published by Penguin. This book was released on 2008-02-28 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Readers can get inside the minds of the stars of the diamond in this extraordinary tour of brain power, psyche, and sheer will of Major League players. 20 illustrations.
Download or read book Win Shares written by Bill James and published by STATS Publishing. This book was released on 2002 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book When Big Data Was Small written by Richard D. Cramer and published by U of Nebraska Press. This book was released on 2019-05-01 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The SAGE Handbook of Sports Economics written by Paul Downward and published by SAGE. This book was released on 2019-08-26 with total page 1027 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sports economics is a well-established and dynamic area of study; a key component in the fields of sport management, sport science and sport studies, as well as in other areas of economics, finance and management. Covering amateur to professional sports, individual events and organised tournaments, this Handbook provides an authoritative contribution to the understanding of sport in the economy. The editors of The SAGE Handbook of Sports Economics have brought together a global team of respected scholars to create this benchmark collection of insights into sports economics. Each chapter includes a study of a specific context in which issues arise in sports economics, a critical presentation of its main theoretical contributions, an overview of current research findings, and an outline of enquiry for future research. PART I: The Nature and Value of the Sports System and Economy PART II: Amateur Sports Participation, Supply and Impact PART III: Professional Team Sports PART IV: Professional Sports Leagues PART V: Sports Events and their Impacts PART VI: Individual Sports PART VII: Future Research
Download or read book Personnel Economics in Sports written by Neil Longley and published by Edward Elgar Publishing. This book was released on 2018 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines personnel economics within the context of the professional sport industry. Sport is an effective industry in which to empirically test theories of personnel economics, primarily because the employer-employee relationship in sport is much more visible and transparent than in almost any other industry. Researchers benefit from having data on a host of variables pertaining to individual employees (i.e. players), such as their age, race, national origin, and experience. Researchers also have data on each employee's performance, on their salary, and on who their co-workers (teammates) and managers (coaches) are. The chapters are organized around the core functional areas of personnel economics and cover all aspects of the employment relationship in sport - from recruiting and selection, to pay and performance, to work team design. Each chapter contains a thorough literature review that provides the reader with a sense of the breadth and depth of the work being done in the area, and with a sense as to how the literature can move forward, both in a sport and non-sport context. The book is suitable for an advanced undergraduate course right through to a PhD-level field-course in both management and economics. Academic researchers in the fields of sports economics, personnel economics, human resource management, strategic management and sport management will also find the book of interest. Contributors include: D. Berri, C. Deutscher, B. Frick, L.H. Kahane, N. Longley, J.G. Maxcy, J. Prinz, R. Simmons, D. Weimar
Download or read book Statistics Slam Dunk written by Gary Sutton and published by Simon and Schuster. This book was released on 2024-02-20 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. Statistics Slam Dunk is an engaging how-to guide for statistical analysis with R. Each chapter contains an end-to-end data science or statistics project delving into NBA data and revealing real-world sporting insights. Written by a former basketball player turned business intelligence and analytics leader, you’ll get practical experience tidying, wrangling, exploring, testing, modeling, and otherwise analyzing data with the best and latest R packages and functions. In Statistics Slam Dunk you’ll develop a toolbox of R programming skills including: Reading and writing data Installing and loading packages Transforming, tidying, and wrangling data Applying best-in-class exploratory data analysis techniques Creating compelling visualizations Developing supervised and unsupervised machine learning algorithms Executing hypothesis tests, including t-tests and chi-square tests for independence Computing expected values, Gini coefficients, z-scores, and other measures If you’re looking to switch to R from another language, or trade base R for tidyverse functions, this book is the perfect training coach. Much more than a beginner’s guide, it teaches statistics and data science methods that have tons of use cases. And just like in the real world, you’ll get no clean pre-packaged data sets in Statistics Slam Dunk. You’ll take on the challenge of wrangling messy data to drill on the skills that will make you the star player on any data team. Foreword by Thomas W. Miller. About the technology Statistics Slam Dunk is a data science manual with a difference. Each chapter is a complete, self-contained statistics or data science project for you to work through—from importing data, to wrangling it, testing it, visualizing it, and modeling it. Throughout the book, you’ll work exclusively with NBA data sets and the R language, applying best-in-class statistics techniques to reveal fun and fascinating truths about the NBA. About the book Is losing basketball games on purpose a rational strategy? Which hustle statistics have an impact on wins and losses? Does spending more on player salaries translate into a winning record? You’ll answer all these questions and more. Plus, R’s visualization capabilities shine through in the book’s 300 plots and charts, including Pareto charts, Sankey diagrams, Cleveland dot plots, and dendrograms. About the reader For readers who know basic statistics. No advanced knowledge of R—or basketball—required. About the author Gary Sutton is a former basketball player who has built and led high-performing business intelligence and analytics organizations across multiple verticals. Table of Contents 1 Getting started 2 Exploring data 3 Segmentation analysis 4 Constrained optimization 5 Regression models 6 More wrangling and visualizing data 7 T-testing and effect size testing 8 Optimal stopping 9 Chi-square testing and more effect size testing 10 Doing more with ggplot2 11 K-means clustering 12 Computing and plotting inequality 13 More with Gini coefficients and Lorenz curves 14 Intermediate and advanced modeling 15 The Lindy effect 16 Randomness versus causality 17 Collective intelligence
Download or read book Rocky Colavito written by Mark Sommer and published by McFarland. This book was released on 2019-06-07 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Iconic ballplayer Rocky Colavito captivated fans during the 1950s and 1960s with his movie-star looks, boyish enthusiasm, powerful bat and cannon-like arm. This biography of "the Rock"--the first in more than half a century--recounts his origins in an Italian immigrant family, his close friendships with Herb Score and Roger Maris, and his rise through the minors to become one of the Cleveland Indians' most beloved players--who retired with the third most home runs by a right-handed AL batter. The author also examines the controversial trade that sent Colavito, the AL's 1959 home run champion, to the Detroit Tigers for batting champion Harvey Kuenn. Colavito's departure was a crushing blow to Indians fans and the team's subsequent 34-year slump was dubbed "the Curse of Colavito."
Download or read book Outdoor Life written by and published by . This book was released on 1918 with total page 938 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Curve Ball written by Jim Albert and published by Springer Science & Business Media. This book was released on 2001-06-08 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: A look at baseball data from a statistical modeling perspective! There is a fascination among baseball fans and the media to collect data on every imaginable event during a baseball game and this book addresses a number of questions that are of interest to many baseball fans. These include how to rate players, predict the outcome of a game or the attainment of an achievement, making sense of situational data, and deciding the most valuable players in the World Series. Aimed at a general audience, the text does not assume any prior background in probability or statistics, although a knowledge of high school abgebra will be helpful.
Download or read book Mathletics written by Wayne L. Winston and published by Princeton University Press. This book was released on 2022-02-22 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to use math to improve performance and predict outcomes in professional sports Mathletics reveals the mathematical methods top coaches and managers use to evaluate players and improve team performance, and gives math enthusiasts the practical skills they need to enhance their understanding and enjoyment of their favorite sports—and maybe even gain the outside edge to winning bets. This second edition features new data, new players and teams, and new chapters on soccer, e-sports, golf, volleyball, gambling Calcuttas, analysis of camera data, Bayesian inference, ridge regression, and other statistical techniques. After reading Mathletics, you will understand why baseball teams should almost never bunt; why football overtime systems are unfair; why points, rebounds, and assists aren’t enough to determine who’s the NBA’s best player; and more.
Download or read book All Time Nines written by Don Cox and published by McFarland. This book was released on 2016-01-25 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Who was the best baseball team of all time? This timeless question can most effectively be answered through comprehensive analysis of baseball statistics. Over the course of a season, winning teams tend to score more runs while allowing fewer than their opponents. The greater the difference in runs per game, the more a team can be expected to win. Comparing this data for the top five percent of Major League nines from 1901 through 2014, this book argues that runs above league average is the best statistic for ranking teams. The author sorts 220 teams by era, franchise and skills--hitting, fielding, baserunning, pitching--evaluates their strengths and weaknesses and assigns numerical values to each player's skills to demonstrate how they contributed to team performance.
