Free PDF Basketball Analytics: Objective and Efficient Strategies for Understanding How Teams Win, by Stephen M. Shea, Christopher E. Baker
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Basketball Analytics: Objective and Efficient Strategies for Understanding How Teams Win, by Stephen M. Shea, Christopher E. Baker
Free PDF Basketball Analytics: Objective and Efficient Strategies for Understanding How Teams Win, by Stephen M. Shea, Christopher E. Baker
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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.
- Sales Rank: #338540 in Books
- Published on: 2013-11-05
- Original language: English
- Number of items: 1
- Dimensions: 9.69" h x .53" w x 7.44" l, .94 pounds
- Binding: Paperback
- 234 pages
About the Author
Stephen Shea is an associate professor of mathematics at Saint Anselm College in Manchester, New Hampshire. He earned a Ph.D. in mathematics from Wesleyan University in Middletown, Connecticut and a B.A. with a major in mathematics from The College of the Holy Cross in Worcester, Massachussetts. For years, Professor Shea has used his ability and interest in mathematics and statistics to analyze professional and amateur sports. At Saint Anselm College, he teaches a course titled Quantitative Analysis in Sports. He has participated in the MIT Sloan Sports Analytics Conference. His work has been featured as a finalist in the annual Stat Geek Idol competition on TeamRankings.com and in the Journal of Quantitative Analysis in Sports. As a mathematician, he specializes in dynamical systems, probability and statistics, and he is actively researching and publishing in these areas. Professor Shea’s education and experience is reflected in his sports analytics. He lives with his wife (Cara), two sons (Miles and Gavin) and daughter (Eloise) in Hooksett, New Hampshire. Christopher Baker received his Bachelor of Science degree in Computer Engineering from Washington University in St. Louis, Missouri. As a software developer, Mr. Baker has focused on Microsoft .NET Web Development and Microsoft SQL Server Database Architecture and Engineering. As a sports analyst, he has spent the past eight years developing advanced player projection algorithms, new concepts, and new metrics in Hockey and Basketball. He is a member of the Society for International Hockey Research (SIHR) and the Hockey Summary Project, where he has studied the development of the game of Hockey statistically over its vast history. Mr. Baker uses his combination of knowledge in sports and software engineering to design and develop efficient methodologies for calculating and visualizing metrics used in real-time systems. He was most recently published with Stephen Shea in the Journal of Quantitative Analysis in Sports for their work entitled “Calculating Wins Over Replacement Player (WORP) for NHL Goaltenders.” Christopher lives with his wife (Francine), son (Michael) and daughter (Annabella) in Lake St. Louis, Missouri.
Most helpful customer reviews
9 of 11 people found the following review helpful.
Very organized, clear explanation of how to measure the strength of a player or team.
By william c thill
I started teaching an elective "Statistics, Sports, and School" course for high-school students. Some of the student projects are in sports analytics. I needed to learn about HOW some of the more popular metrics for assessing player value were created. It's tough to find a good resource that takes the reader through the thinking/ rationale that leads to the formulas... until now. The authors do a great job surveying existing metrics, providing valid critiques, and proposing new metrics for measuring player and team quality. Among my library of resources for students, this has quickly jumped to the top of my list. It's readable. Methods are grounded in good science and good statistical practice. Factor adjustments also make sense. I plan to find more work by these authors to learn more.
3 of 3 people found the following review helpful.
Interesting and easy read. I never took the analytical side of ...
By John LeSage
Interesting and easy read. I never took the analytical side of basketball seriously as a player until now and this text has given me a greater understanding of the game as a whole. This would be a great read for coaches who have the time and ability to replicate the analytics and then capitalize on other teams and players weaknesses.
2 of 2 people found the following review helpful.
Clear and Logical introduction of performance measurement - In All Sports
By Graham Webster
A clearly written and logically organised study of building metrics to understand why sporting teams win.
Whilst the focus of this book is on team and player metrics for basketball, there are a lot of valuable insights for people who are interested in other sports (in my case, that's Australian Rules Football). This is because the authors talk explicitly about the process of measurement, and walk the reader through the evaluation of the basketball metrics they are specifically constructing. The principles and concepts referred to apply to any sport.
The writing is very clear. One thing I've found with a lot of books about sports analytics is that the writing gets a bit "florid". Not with this book, and that makes it quite accessible to people outside of basketball.
Another interesting feature of the writing is the comment on "future directions". Sports statistics is technology dependent, and there is an increasing amount and type of statistics becoming available as new technologies are introduced.
I also liked the sophistication of some of the concepts introduced. One chapter on team evaluation talks about lineup entropy and refers to Shannon's entropy from Information Theory. Another chapter talked about developing new positions that expand on the traditional positions in many sports, and contribute to our understanding of how games evolve. In Australian Rules Football, for example, players playing in traditional positions tended to stay within their assigned zones, whereas these days players roam all over the playing field.
All in all, a well written book with a lot of thought provoking material that is relevant to many sports, not just basketball.
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