5 of 7 people found the following review helpful
on January 4, 2014
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.
2 of 3 people found the following review helpful
on September 26, 2014
This book quantifies the evaluation of individual NBA players, and the various ways they contribute to their team. It looks at both top-down and bottom-up, and considers the different role each player serves. The book's target audience is a quant-focused NBA General Manager trying to assemble the best team he can given his constraints -- his current roster and salary cap.
If you are a serious quant-based NBA bettor, this book will give you some new tools to evaluate how an injury change in a roster might affect a team. Most quants will find the material interesting, but it will go over the head of casual fans.