Basketball Analytics

Author: Stephen M. Shea
Publisher: CreateSpace
ISBN: 9781492923176
Size: 72.16 MB
Format: PDF
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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.

Chasing Perfection

Author: Andy Glockner
Publisher: Hachette UK
ISBN: 0306824035
Size: 13.52 MB
Format: PDF
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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.

Machine Learning And Data Mining For Sports Analytics

Author: Ulf Brefeld
Publisher: Springer
ISBN: 3030172740
Size: 17.40 MB
Format: PDF, Docs
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This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018. The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer.

Sports Performance Measurement And Analytics

Author: Lorena Martin
Publisher: FT Press
ISBN: 0134193881
Size: 32.31 MB
Format: PDF, ePub, Docs
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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.

A Dream Job As A Sports Statistician

Author: Marty Gitlin
Publisher: The Rosen Publishing Group, Inc
ISBN: 1508178615
Size: 43.12 MB
Format: PDF, ePub
View: 5577
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Those who love sports and working with statistics can combine those two passions to forge a career. This book outlines a pathway for readers seeking to become sports statisticians. It cites what steps should be taken at the middle school and high school levels. It explains which courses one should take in college to move closer to the goal. It points out the myriad of jobs being created in a growing field. The road to a career as a sports statistician is wide open. This book will help readers continue on that road until they reach their destination.