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Want to Read saving…. Want to Read Currently Reading Read. Refresh and try again. Open Preview See a Problem? Thanks for telling us about the problem. Return to Book Page. Preview — Basketball on Paper by Dean Oliver. Rules and Tools for Performance Analysis 4. 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.
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: 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.
Paperback , pages. Published November 1st by Potomac Books first published To see what your friends thought of this book, please sign up. To ask other readers questions about Basketball on Paper , please sign up. Lists with This Book. Jul 08, Alex rated it really liked it. This is by far the best work I've seen on using statistics to rate players and teams in basketball. I've been thinking about this on my own for a while, and this book has really helped improve my thinking.
The writing is decent considering the disparate audiences that the author is trying to reach: I am the latter. May 29, Mugizi Rwebangira rated it liked it. What I liked most was the focus on analyzing games on a per-possession basis instead of just looking at the total number of points scored.
This seems obvious in hindsight but it wasn't how people talked about basketball until relatively recently. Even now, people will talk about the time Kobe scored 81 points, or how many 40 points games Lebron or Westbrook have had in the playoffs ignoring the fact that just looking at point totals without taking into account efficiency is meaningless. On the ot What I liked most was the focus on analyzing games on a per-possession basis instead of just looking at the total number of points scored.
On the other hand, I found the book rambled on quite a bit and picked and dropped topics abruptly. For example, he describes a detailed notation for recording all the plays in a game and then he never mentions it again. Most of the chapters are devoted to using analytical measures to make exhaustive comparisons of players and teams of the s and s. This was obviously much more interesting when the book was published than it is now. Overall, there is a lot here that will be very interesting to basketball fans, but you have to wade through a lot of cruft to get to it.
Mar 12, Liz rated it really liked it. I thought this book was excellent in both analysis and writing. It's extraordinarily rare to be reading a non-fiction statistical analysis book and to find yourself laughing out loud, but that's what Oliver's writing did. He made his applications relatable and funny. Another of my favorite things about this book was that he knew his audience - the first section of the book addresses how different types of people might find use in the book and the rest of the book proves that he really meant that.
Which is just fantastic. It's so tiring having everyone ignore the fact that women even play sports, so it was amazing to have them included in this book, which additionally was so well written and so readable. Highly recommend - not too much technical language in the text, but lots of technical supporting diagrams and appendices to look at and read if you ARE interested in the more technical analysis. Apr 01, Jb Park rated it really liked it.
Dean Oliver did a really great work on this book to suggest what kind of advanced statistical analysis can be applied to basketball. Yes, it lacks story and some parts of the book is a little boring. He materialized what I have imagined of for the statistical analysis.
Also, it needs to be pointed out that each of John Hollinger and Dean Oliver independently developed Off. Probably, Dean Oliver did a really great work on this book to suggest what kind of advanced statistical analysis can be applied to basketball.
Probably, it was the first attempt to look at the stats per possession based instead of per game or per minute. It may be a combination of usage rate and WS. Anyhow, if the purpose of the individual stat is to validate the individual contribution to the team win, this might be the right direction to look at it. Feb 19, Nikhil Kumar rated it it was amazing.
A lot of people are scared of the high-level statistics used to derive a lot of the equations used in this field, and Oliver not only acknowledges this, but does a great job of explaining concepts in lay terms for the average reader, and supporting these explanations with the math in endnotes and appendices. I encourage any basketball fan to read this book; it will provide you with a much better way of evaluating whether a player is "good" or not, and will allow you to watch the game with a more discerning eye.
Mar 22, Mikey rated it it was amazing Recommends it for: Oliver's book is full of methods, metrics, and evaluation techniques for basketball strategy and team and individual performance, all from an analytic standpoint. The math, when it needs to be, is complicated, but Oliver is never above breaking it down and explaining what it means in simple terms. Even difficult concepts like team chemistry are tackled here from a statistical standpoint, and while Oliver admits that he does This is it: Even difficult concepts like team chemistry are tackled here from a statistical standpoint, and while Oliver admits that he doesn't have all the answers take that, Dave Berri!
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