Basketball Analytics

Author : Stephen M. Shea,Christopher E. Baker
Publisher : Createspace Independent Publishing Platform
Page : 0 pages
File Size : 48,8 Mb
Release : 2013
Category : Basketball
ISBN : 1492923176

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Basketball Analytics by Stephen M. Shea,Christopher E. Baker Pdf

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 : Dean Oliver
Publisher : U of Nebraska Press
Page : 403 pages
File Size : 43,7 Mb
Release : 2020-02-15
Category : Sports & Recreation
ISBN : 9781640123892

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Basketball on Paper by Dean Oliver Pdf

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 doesn't 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 they're 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 teams' success. He does the same for some of the NBA's "oddball" players-Manute Bol, Muggsy Bogues, and Dennis Rodman and for the WNBA's 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 you're looking for strategies or new ideas to throw out while watching the ballgame at a sports bar, Dean Oliver'sBasketball on Paper will give you amazing new insights into teamwork, coaching, and success.

Author : Stephen M. Shea
Publisher : Unknown
Page : 0 pages
File Size : 42,9 Mb
Release : 2014-12-07
Category : Basketball
ISBN : 1503236277

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Basketball Analytics by Stephen M. Shea Pdf

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 : Benjamin C. Alamar
Publisher : Columbia University Press
Page : 219 pages
File Size : 49,8 Mb
Release : 2024-05-28
Category : Sports & Recreation
ISBN : 9780231555890

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Sports Analytics by Benjamin C. Alamar Pdf

Data and analytics have the potential to provide sports organizations with a competitive advantage both on and off the field. Yet even as the use of analytics in sports has become commonplace, teams regularly find themselves making big investments without significant payoff. This book is a practical, nontechnical guide to incorporating sports data into decision making, giving leaders the knowledge they need to maximize their organization’s investment in analytics. Benjamin C. Alamar—a leading expert who has built high-performing analytics groups—surveys the current state of the use of data in sports, including both specifics around the tools and how to deploy them most effectively. Sports Analytics offers a clear, easily digestible overview of data management, statistical models, and information systems and a detailed understanding of their vast possibilities. It walks readers through the essentials of understanding the value of different types of data and strategies for building and managing an analytics team. Throughout, Alamar illustrates the value of analytics with real-world examples and case studies from both the sports and business sides. Sports Analytics has guided a range of sports professionals to success since its original publication in 2013. This second edition adds examples and strategies that focus on using data on the business side of a sports organization, provides concrete strategies for incorporating different types of data into decision making, and updates all discussions for the rapid technological developments of the last decade.

Author : Kirk Goldsberry
Publisher : Mariner Books
Page : 257 pages
File Size : 41,7 Mb
Release : 2019
Category : Sports & Recreation
ISBN : 9781328767516

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Sprawlball by Kirk Goldsberry Pdf

"Beautifully illustrated and sharply written, SprawlBall is both a celebration and a critique of the 3-point shot. If you want to understand how the modern NBA came to be, you'll need to read this book." --Nate Silver, editor of fivethirtyeight.com From the leading expert in the exploding field of basketball analytics, a stunning infographic decoding of the modern NBA: who shoots where, and how. The field of basketball analytics has leaped to overdrive thanks to Kirk Goldsberry, whose visual maps of players, teams, and positions have helped teams understand who really is the most valuable player at any position. SprawlBall combines stunning visuals, in-depth analysis, fun, behind-the-scenes stories and gee-whiz facts to chart a modern revolution. From the introduction of the 3-point line to today, the game has changed drastically . . . Now, players like Steph Curry and Draymond Green are leading the charge. In chapters like "The Geography of the NBA," "The Interior Minister (Lebron James)," "The Evolution of Steph Curry," and "The Investor (James Harden)," Goldsberry explains why today's on-court product--with its emphasis on shooting, passing, and spacing--has never been prettier or more democratic. And it's never been more popular. For fans of Bill Simmons and FreeDarko, SprawlBall is a bold new vision of the game, presenting an innovative, cutting-edge look at the sport based on the latest research, as well as a visual and infographic feast for fans.

Author : Thomas W. Miller
Publisher : FT Press
Page : 576 pages
File Size : 51,5 Mb
Release : 2015-11-18
Category : Business & Economics
ISBN : 9780133887419

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Sports Analytics and Data Science by Thomas W. Miller Pdf

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 : Paola Zuccolotto,Marica Manisera
Publisher : CRC Press
Page : 245 pages
File Size : 50,7 Mb
Release : 2020-01-03
Category : Business & Economics
ISBN : 9780429894268

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Basketball Data Science by Paola Zuccolotto,Marica Manisera Pdf

Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an NBA player's shots or doing an analysis of the impact of high pressure game situations on the probability of scoring, this book discusses a variety of case studies and hands-on examples using a custom R package. The codes are supplied so readers can reproduce the analyses themselves or create their own. Assuming a basic statistical knowledge, Basketball Data Science with R is suitable for students, technicians, coaches, data analysts and applied researchers. Features: One of the first books to provide statistical and data mining methods for the growing field of analytics in basketball Presents tools for modelling graphs and figures to visualize the data Includes real world case studies and examples, such as estimations of scoring probability using the Golden State Warriors as a test case Provides the source code and data so readers can do their own analyses on NBA teams and players

Author : Seth Partnow
Publisher : Triumph Books
Page : 239 pages
File Size : 42,7 Mb
Release : 2021-11-16
Category : Sports & Recreation
ISBN : 9781641256971

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The Midrange Theory by Seth Partnow Pdf

From one of basketball's foremost experts in the field of analytics, a fascinating new perspective on how to watch and think about the game. At its core, the goal of any basketball team is relatively simple: take and make good shots while preventing the opponent from doing the same. But what is a "good" shot? Are all good shots created equally? And how might one identify players who are more or less likely to make and prevent those shots in the first place? The concept of basketball "analytics," for lack of a better term, has been lauded, derided, and misunderstood. The incorporation of more data into NBA decision-making has been credited—or blamed—for everything from the death of the traditional center to the proliferation of three-point shooting to the alleged abandonment of the area of the court known as the midrange. What is beyond doubt is that understanding its methods has never been more important to watching and appreciating the NBA. In The Midrange Theory, Seth Partnow, NBA analyst for The Athletic and former Director of Basketball Research for the Milwaukee Bucks, explains how numbers have affected the modern NBA game, and how those numbers seek not to "solve" the game of basketball but instead urge us toward thinking about it in new ways. The relative value of Russell Westbrook's triple-doubles Why some players succeed in the playoffs while others don't How NBA teams think about constructing their rosters through the draft and free agency The difficulty in measuring defensive achievement The fallacy of the "quick two" From shot selection to evaluating prospects to considering aesthetics and ethics while analyzing the box scores, Partnow deftly explores where the NBA is now, how it got here, and where it might be going next.

Author : Ulf Brefeld
Publisher : Springer Nature
Page : 206 pages
File Size : 45,8 Mb
Release : 2024-07-03
Category : Electronic
ISBN : 9783031538339

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Machine Learning and Data Mining for Sports Analytics by Ulf Brefeld Pdf

Author : Andy Glockner
Publisher : Hachette UK
Page : 288 pages
File Size : 40,7 Mb
Release : 2016-03-08
Category : Sports & Recreation
ISBN : 9780306824036

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Chasing Perfection by Andy Glockner Pdf

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 : Bill Simmons
Publisher : ESPN
Page : 754 pages
File Size : 44,9 Mb
Release : 2010-12-07
Category : Sports & Recreation
ISBN : 9780345520104

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The Book of Basketball by Bill Simmons Pdf

NEW YORK TIMES BESTSELLER • The NBA according to The Sports Guy—now updated with fresh takes on LeBron, the Celtics, and more! Foreword by Malcom Gladwell • “The work of a true fan . . . it might just represent the next phase of sports commentary.”—The Atlantic Bill Simmons, the wildly opinionated and thoroughly entertaining basketball addict known to millions as ESPN’s The Sports Guy, has written the definitive book on the past, present, and future of the NBA. From the age-old question of who actually won the rivalry between Bill Russell and Wilt Chamberlain to the one about which team was truly the best of all time, Simmons opens—and then closes, once and for all—every major pro basketball debate. Then he takes it further by completely reevaluating not only how NBA Hall of Fame inductees should be chosen but how the institution must be reshaped from the ground up, the result being the Pyramid: Simmons’s one-of-a-kind five-level shrine to the ninety-six greatest players in the history of pro basketball. And ultimately he takes fans to the heart of it all, as he uses a conversation with one NBA great to uncover that coveted thing: The Secret of Basketball. Comprehensive, authoritative, controversial, hilarious, and impossible to put down (even for Celtic-haters), The Book of Basketball offers every hardwood fan a courtside seat beside the game’s finest, funniest, and fiercest chronicler.

Author : Leonard C Maclean,William T Ziemba
Publisher : World Scientific
Page : 587 pages
File Size : 41,5 Mb
Release : 2021-12-22
Category : Business & Economics
ISBN : 9789811250224

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Sports Analytics by Leonard C Maclean,William T Ziemba Pdf

This book is a collection of applications of analytic techniques to a number of popular sports including baseball, basketball, hockey, Jai Alai, NFL football and horseracing. We focus on both the statistics of the sporting events and betting strategies on the events. The subject is fascinating as there are many twists and subtle complicated decisions.Sports analytics applies mathematical and statistical methods to important questions in the structure and performance of sporting activities using the same basic methods and approaches as data analysts in other disciplines.Sports games and events are a fruitful area for study and to evaluate betting strategies as there is extensive data and mean reversion. With prices changing continuously, risk arbitrage bets can be made. Moreover, little errors, like a penalty to a player or an error in a call by a referee, can change the score of a game and corresponding betting prices. The collection and analysis of in-game data can inform players, coaches and staff on effective decision making during sporting events.Novel features of the book include: an analysis of who were the greatest baseball batters; analyses of the players most important to team success (and they are not necessarily the best players) in basketball, NFL football and hockey; a tutorial on risk arbitrage and its applications to NFL football and NBA basketball; a discussion of many ad hoc decision rules by coaches and players and what was really optimal; in the racing section we discuss breeding, the analysis of various bets like the Rainbow and ordinary Pick 6, a discussion and betting on the most important races and a visit to the Breeders' Cup with Ed Thorp to demonstrate the place and show system in action.

Author : Ted Kwartler
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 40,5 Mb
Release : 2022-03-14
Category : Medical
ISBN : 9781119598077

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Sports Analytics in Practice with R by Ted Kwartler Pdf

Sports Analytics in Practice with R A practical guide for those looking to employ the latest and leading analytical software in sport In the last twenty years, sports organizations have become a data-driven business. Before this, most decisions in sports were qualitatively driven by subject-matter experts. In the years since numerous teams found success with “Money Ball” analytical perspectives, the industry has sought to advance its analytical acumen to improve on- and off-field outcomes. The increasing demand for data to inform decisions for coaches, scouts, and players before and during sporting events has led to intriguing efforts to build upon this quantitative approach. As this methodology for assessing performance has matured and grown in importance, so too has the open-source R software emerged as one of the leading analytical software packages. In fact, R is a top 10 programming language that is useful in academia and industry for statistics, machine learning, and rapid prototyping. Sports Analytics in Practice with R neatly marries these two advances to teach basic analytics for sports-related use—from cricket to baseball, from basketball to tennis, from soccer to sports gambling, and more. Sports Analytics in Practice with R readers will also find: A broad perspective of sports, focusing on a wide range of sports rather than just one The first book of its kind that features coding examples Case study approach throughout the book Companion website including data sets to work through alongside the explanations Sports Analytics in Practice with R is a helpful tool for students and professionals in the sports management field, but also for sports enthusiasts who have a coding background.

Author : Yago Colás,Yago ás
Publisher : U of Nebraska Press
Page : 376 pages
File Size : 42,6 Mb
Release : 2020-11
Category : Sports & Recreation
ISBN : 9781496223463

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Numbers Don't Lie by Yago Colás,Yago ás Pdf

A typical NBA game can yield approximately 2,800 statistical events in thirty-two different categories. In Numbers Don’t Lie Yago Colás started with a simple question: How did basketball analytics get from counting one stat, the final score, to counting thousands? He discovered that what we call “basketball”—rules, equipment, fundamental skills, techniques, tactics, strategies—has changed dramatically since its invention and today encompasses many different forms of play, from backyards and rec leagues to the NBA Finals. Numbers Don’t Lie explores the power of data to tell stories about ourselves and the world around us. As advanced statistical methods and big-data technologies transform sports, we now have the power to count more things in greater detail than ever before. These numbers tell us about the past, present, and future that shape how basketball is played on the floor, decisions are made in front offices, and the sport is marketed and consumed. But what is the relationship between counting and what counts, between quantification and value? In Numbers Don’t Lie Colás offers a three-part history of counting in basketball. First, he recounts how big-data basketball emerged in the past twenty years, examines its current practices, and analyzes how it presents itself to the public. Colás then situates big data within the deeper social, cultural, and conceptual history of counting in basketball and beyond and proposes alternative frameworks of value with which we may take fuller stock of the impact of statistics on the sport. Ultimately, Colás challenges the putative objectivity of both quantification and academic writing by interweaving through this history a series of personal vignettes of life at the intersection of basketball, counting, and what counts.

Author : Ambikesh Jayal,Allistair McRobert,Giles Oatley,Peter O'Donoghue
Publisher : Routledge
Page : 236 pages
File Size : 55,8 Mb
Release : 2018-06-12
Category : Sports & Recreation
ISBN : 9781351838955

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Sports Analytics by Ambikesh Jayal,Allistair McRobert,Giles Oatley,Peter O'Donoghue Pdf

As the analysis of big datasets in sports performance becomes a more entrenched part of the sporting landscape, so the value of sport scientists and analysts with formal training in data analytics grows. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance provides the most authoritative and comprehensive guide to the use of analytics in sport and its application in sports performance, coaching, talent identification and sports medicine available. Employing an approach-based structure and integrating problem-based learning throughout the text, the book clearly defines the difference between analytics and analysis and goes on to explain and illustrate methods including: Interactive visualisation Simulation and modelling Geospatial data analysis Spatiotemporal analysis Machine learning Genomic data analysis Social network analysis Offering a mixed-methods case study chapter, no other book offers the same level of scientific grounding or practical application in sports data analytics. Sports Analytics is essential reading for all students of sports analytics, and useful supplementary reading for students and professionals in talent identification and development, sports performance analysis, sports medicine and applied computer science.