Author: Stephen M. Shea
Release Date: 2013-11-05
Genre: Sports & Recreation
Basketball Analytics is a must-read for any sports analytics enthusiast or student of the game of basketball. Authors Stephen Shea, Ph.D. (Professor of Mathematics) and Christopher Baker (Software Engineer) utilize their unique skill-set to introduce original metrics for analyzing player performance, team style and team construction in the NBA. While demonstrating an awareness of the industry's best ideas, the authors present original, objective and efficient strategies for understanding how teams win. New player performance statistics include Offensive Efficiency (OE), Efficient Offensive Production (EOP), Defensive Stops Gained (DSG), and Approximate Value (AV). OE reflects a player's ability to make the most fundamental offensive decisions. EOP adjusts a player's points and assists based on his efficiency. DSG gives a complete measure of a player's defensive contributions, without relying on individual player statistics like blocks and steals. AV is a measure of total player performance that rivals any publicly available statistic. Basketball Analytics introduces groundbreaking metrics on player involvement in the offense. Point, Rebound and Assist Balance aggregate player usage in these critical statistics. New studies on the NBA show whether teams should strive for balance or unbalance. An NBA draft pick value study determines the average value of each pick and the likelihood of landing a star or role player with each draft position. The results of this study are used to discuss topics including the biggest draft blunders and steals, the draft success of each NBA team, and the quality of each draft class dating back to 1977. This valuable understanding of the NBA Draft creates a foundation for discussing various approaches to team development and construction. Additionally, the authors discuss redefining the positions on the court, unpredictability in the game, data visualization, and applications of spatial tracking technology. There are many intensely debated questions surrounding the NBA today. Who are the most valuable players, and how do they compare to past greats? Which players have the greatest impact on their team's defense? Should Kobe Bryant be concerned with getting his teammates involved in the offense? How do offenses differ in the clutch, and which players thrive in these situations? How difficult is it for a team to rebuild through the draft? Basketball Analytics introduces new statistics and new concepts to explore these questions and more.
Author: Stephen M. Shea
Release Date: 2014-12-07
Equipped with new spatial tracking data collected by SportVU and others, Basketball Analytics investigates game strategy, player evaluation, player types, and prospect potential. Author Stephen Shea, Ph.D. introduces new measures of a player's scoring and playmaking efficiency, quantifies the spacing in an offense and the stretch of a defense, and demonstrates several ways in which the NBA game has changed over the years. He also reveals the full methodology behind popular topics from the blog, BasketballAnalyticsBook.com, such as the College Prospect Rating System and the periodic tables of NBA elements. The author presents a modern viewpoint on basketball analytics' most fundamental principles and demonstrates the power of the industry's latest statistical breakthroughs. Basketball Analytics is a must-read for any sports analytics enthusiast.
Author: Andy Glockner
Publisher: Hachette UK
Release Date: 2016-03-08
Genre: Sports & Recreation
Chasing Perfection goes behind the scenes of the multi-million dollar, high-stakes world of basketball player development, research and analysis, and the often secretive, cutting-edge methods that NBA franchises use to turn less-expensive, supporting players into vital parts of championship teams. NBA superstars push as close to perfection as we're likely to see, but they are few and far between. The farther you get from the league's top echelon of talent, the more it's up to the players—and their teams—to develop and utilize their strengths while diminishing and masking their weaknesses as much as possible. There are no perfect basketball players, but there are plenty of perfected ones, who start with a basis of skill and physical ability and then are refined further and further in order to move closer and closer to their absolute potential. In Chasing Perfection, national sportswriter Andy Glockner reveals that, though the concept of player improvement is as old as basketball itself, the current era of Big Data analytics in the NBA is transforming that process more quickly and aggressively than anything we have seen before. Players are learning more and more about themselves through video and data visualization, seeing how things like diet and sleep can impact their performance, and learning how having healthy joints and role-specific workout plans are lengthening and improving their careers. Teams are internalizing the same lessons, as well as figuring out how to better implement optimal on-court strategies, how to refine their approaches to player acquisition and how to gauge the varying values and success rates of different, crucial team-building strategies. It's an absolutely fascinating time to be a fan, as the marriage of basketball and technology is bringing two of our most popular and competitive worlds together in compelling fashion. Using the 2014–15 NBA season as a prism to explore this mesh of sport and science, Glockner offers detailed perspective from NBA players, coaches, team management, and media, offering a comprehensive insider's view of how analytics are shaping the basketball we watch, and how those who are lagging behind in the technology race already are feeling the competitive hit.
Author: Dean Oliver
Publisher: Potomac Books, Inc.
Release Date: 2011-03-01
Genre: Sports & Recreation
Journey inside the numbers for an exceptional set of statistical tools and rules that can help explain the winning, or losing, ways of a basketball team. Basketball on Paper doesnat diagram plays or explain how players get in shape, but instead demonstrates how to interpret player and team performance. Dean Oliver highlights general strategies for teams when theyare winning or losing and what aspects should be the focus in either situation. He describes and quantifies the jobs of team leaders and role players, then discusses the interactions between players and how to achieve the best fit. Oliver conceptualizes the meaning of teamwork and how to quantify the value of different types of players working together. He examines historically successful NBA teams and identifies what made them so successful: individual talent, a system of putting players together, or good coaching. Oliver then uses these statistical tools and case studies to evaluate the best players in history, such as Magic Johnson, Wilt Chamberlain, Bill Russell, and Charles Barkley and how they contributed to their teamsa success. He does the same for some of the NBAas oddball players-Manute Bol, Muggsy Bogues, and Dennis Rodman and for the WNBAas top players. Basketball on Paper is unique in its incorporation of business and analytical concepts within the context of basketball to measure the value of players in a cooperative setting. Whether youare looking for strategies or new ideas to throw out while watching the ballgame at a sports bar, Dean Oliveras Basketball on Paper will give you amazing new insights into teamwork, coaching, and success."
Computational Frameworks: Systems, Models and Applications provides an overview of advanced perspectives that bridges the gap between frontline research and practical efforts. It is unique in showing the interdisciplinary nature of this area and the way in which it interacts with emerging technologies and techniques. As computational systems are a dominating part of daily lives and a required support for most of the engineering sciences, this book explores their usage (e.g. big data, high performance clusters, databases and information systems, integrated and embedded hardware/software components, smart devices, mobile and pervasive networks, cyber physical systems, etc.). Provides a unique presentation on the views of frontline researchers on computational systems theory and applications in one holistic scope Cover both computational science and engineering Bridges the gap between frontline research and practical efforts
Sports Business Management will equip students with a comprehensive understanding of the sport industry. With a focus on management, strategy, marketing, and finance, the decision-making approach of the book emphasizes key concepts while translating them into practice. Foster, O’Reilly, and Dávila present a set of modular chapters supported with plenty of examples, mini-cases, and exercises to help students apply the decision-making approach to real-world situations. Covering an international array of sports and organizations – including the Olympic Games, FIFA World Cup, US Major League Baseball, and more – the book also covers unique topics such as diversity in sport, the impact of technology, and social media. Rounding this out, the book provides around 50 Harvard/Stanford cases, along with case notes for instructors. This is an ideal textbook for upper-level undergraduate and graduate students of sports business and management, fully supported by a companion website featuring PowerPoint slides, test questions, teaching notes, and other tools for instructors.
Author: Benjamin C. Alamar
Publisher: Columbia University Press
Release Date: 2013-07-02
Genre: Business & Economics
Benjamin C. Alamar founded the first journal dedicated to sports statistics, the Journal of Quantitative Analysis in Sports. He developed and teaches a class on sports analytics for managers at the University of San Francisco and has published numerous cutting edge studies on strategy and player evaluation. Today, he cochairs the sports statistics section of the International Statistics Institute and consults with several professional teams and businesses in sports analytics. There isn’t a better representative of this emerging field to show diverse organizations how to implement analytics into their decision-making strategies, especially as the programs behind analytic tools grow increasingly complex. Alamar provides a clear, easily digestible survey of the practice and a detailed understanding of analytics’ vast possibilities. He explains how to evaluate different programs and put them to use. Using concrete examples from professional sports teams and case studies demonstrating the use and value of analytics in the field, Alamar designs a roadmap for managers and other professionals as they build their own programs and teach their approach to others.
Author: Thomas W. Miller
Publisher: FT Press
Release Date: 2015-11-18
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This up-to-the-minute reference will help you master all three facets of sports analytics — and use it to win! Sports Analytics and Data Science is the most accessible and practical guide to sports analytics for everyone who cares about winning and everyone who is interested in data science. You’ll discover how successful sports analytics blends business and sports savvy, modern information technology, and sophisticated modeling techniques. You’ll master the discipline through realistic sports vignettes and intuitive data visualizations–not complex math. Every chapter focuses on one key sports analytics application. Miller guides you through assessing players and teams, predicting scores and making game-day decisions, crafting brands and marketing messages, increasing revenue and profitability, and much more. Step by step, you’ll learn how analysts transform raw data and analytical models into wins: both on the field and in any sports business.
Author: Frank P. Jozsa
Publisher: World Scientific
Release Date: 2011
Genre: Sports & Recreation
The National Basketball Association (NBA) is widely recognized as an entertaining and innovative league whose teams play regular season and postseason games in packed arenas at home and away sites in the United States and Canada. This book discusses the development, growth, and success of the 61-year-old NBA from a business perspective. Covering the late 1940s to 2009, it focuses on the league's expansions and mergers, team territories and relocations, franchise organizations and operations, basketball arenas and markets, and NBA domestic and international affairs. Readers will gain an insight into when, how, and why the NBA emerged, reformed, and gradually matured to become one of the world's most dominant, prosperous, and popular professional sports organizations today.
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.
Author: Irving Rein
Publisher: Oxford University Press, USA
Release Date: 2014-08-08
Genre: Business & Economics
The sports industry is more complex than ever before, and succeeding within it now requires an equally dynamic approach. Teams and leagues across many sports face unprecedented competition in worldwide markets as the cost of doing business increases and traditional revenue streams face pressure. In light of these changes, the idea that winning championships is the key to organizational success is misguided. The Sports Strategist: Developing Leaders for a High-Performance Industry reveals which areas in the industry, unlike winning, can be controlled and maximized for consistent success. Aspiring leaders in the sports business will learn how to design identities, manage narratives, and maximize new technologies in order to implement business analytics and build public support. These techniques are vital to creating a successful sports organization that is ready to reap the benefits of winning when it does happen, without having to rely on it when it doesn't. In such a high-performance field, the demand for well-equipped leaders is great, and The Sports Strategist provides the necessary tools and techniques for their success.
Author: Wayne L. Winston
Publisher: Princeton University Press
Release Date: 2012-03-18
Mathletics is a remarkably entertaining book that shows readers how to use simple mathematics to analyze a range of statistical and probability-related questions in professional baseball, basketball, and football, and in sports gambling. How does professional baseball evaluate hitters? Is a singles hitter like Wade Boggs more valuable than a power hitter like David Ortiz? Should NFL teams pass or run more often on first downs? Could professional basketball have used statistics to expose the crooked referee Tim Donaghy? Does money buy performance in professional sports? In Mathletics, Wayne Winston describes the mathematical methods that top coaches and managers use to evaluate players and improve team performance, and gives math enthusiasts the practical tools they need to enhance their understanding and enjoyment of their favorite sports--and maybe even gain the outside edge to winning bets. Mathletics blends fun math problems with sports stories of actual games, teams, and players, along with personal anecdotes from Winston's work as a sports consultant. Winston uses easy-to-read tables and illustrations to illuminate the techniques and ideas he presents, and all the necessary math concepts--such as arithmetic, basic statistics and probability, and Monte Carlo simulations--are fully explained in the examples. 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 much, much more. In a new epilogue, Winston discusses the stats and numerical analysis behind some recent sporting events, such as how the Dallas Mavericks used analytics to become the 2011 NBA champions.
Author: Lorena Martin
Publisher: FT Press
Release Date: 2016-02-03
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: Larry R. Seidel
Release Date: 2005-09
Because Allied air superiority was so awesome in Normandy, many believe the German Luftwaffe did not appear at all. How surprising to learn that the fierce battle in the skies over the Normandy beaches was much like the Battle of Britain -- both in duration, about 80 days long, and in severity, about 3,000 aircraft shot down. Only one or two books deal with the aerial battle over Normandy and those that do treat it from the viewpoint of one nation. For the first time, the squadron records of German, American and British units in the Normandy Campaign reveal details of nearly every aerial encounter that occurred, provide tabulation of the number of losses and yield the names of the pilots who fought. But to get a feeling of what it was like to be there, this book also describes the day-to-day lives of the members of one RAF Commonwealth wing flying Spitfires from French soil. It quotes the words of the participants as recorded in squadron records, memories of veterans and in the pilots' combat reports. This is a book filled with factual detail written by one whose brother fought and died in the Normandy Air War.