Basketball on Paper: Rules and Tools for Performance Analysis

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Overview

Get inside the numbers with an exceptional set of statistical rules and tools that help evaluate players, strategies, and teamwork. Former player, scout, and coach Dean Oliver investigates, dissects, and sometimes debunks a number of important basketball theories and myths. He also examines the differences between team leaders and role players, studies the best and most unique players in NBA history, and offers new ways of looking at the game from both a coach's and fan's points of view. If it's in basketball, ...
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Basketball on Paper: Rules and Tools for Performance Analysis

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More About This Book

Overview

Get inside the numbers with an exceptional set of statistical rules and tools that help evaluate players, strategies, and teamwork. Former player, scout, and coach Dean Oliver investigates, dissects, and sometimes debunks a number of important basketball theories and myths. He also examines the differences between team leaders and role players, studies the best and most unique players in NBA history, and offers new ways of looking at the game from both a coach's and fan's points of view. If it's in basketball, it's in Basketball on Paper.
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Editorial Reviews

From the Publisher
"At the risk of succumbing to hyperbole, Basketball on Paper is a revolutionary strike for statistical analysis of the game of basketball. . . . There has never been a basketball book quite like [it]."

"The must-read hoops numbers book."

"Statistics guru Dean Oliver . . . is to the NBA what Bill James is to baseball."

"Excellent writing. There are a lot of math guys who just rush from the numbers to the conclusion. . . . Dean is more that that; he's really struggling to understand the actual problem, rather than the statistical after-image of it. I learn a lot by reading him."

"Oliver's book provides an insightful framework for basketball. . . . This book is a unique and surprisingly practical addition to a coach's library."

"A revolutionary strike for statistical analysis of the game of basketball."

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Product Details

  • ISBN-13: 9781574886870
  • Publisher: Potomac Books Inc.
  • Publication date: 11/30/2003
  • Pages: 392
  • Product dimensions: 6.38 (w) x 9.18 (h) x 1.04 (d)

Meet the Author

Dean Oliver is a former basketball player, assistant coach, and collegiate scout, and has contributed to Basketball Digest. In 1996 he founded the Journal of Basketball Studies, an online compilation of basketball research, and contributes to the Association for Professional Basketball Research. Oliver currently provides statistical advice to the Seattle Supersonics and the public relations director of the WNBA. He lives in Oakland, California.
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Table of Contents

Acknowledgments
Abbreviations
Ch. 1 How to Read This Book 1
Ch. 2 Watching a Game: Offensive Score Sheets 8
Ch. 3 The Best Offenses and Defenses (And Some of the Worst, Too) 29
Ch. 4 Reserve Your Playoff Tickets Now! We Won Three in a Row! 69
Ch. 5 Teamwork 77
Ch. 6 Rebounding Myths and Roles 86
Ch. 7 The Significance of Derrick Coleman's Insignificance 93
Ch. 8 Amos Tversky's Basketball Legacy 101
Ch. 9 The Power of Parity 108
Ch. 10 Teamwork 2: A Game of Ultimatums 114
Ch. 11 Basketball's Bell Curve 117
Ch. 12 The Effect of Bad Referees and Other Short Stories 134
Ch. 13 Teamwork 3: Distributing Credit among Cooperating Players 144
Ch. 14 Individual Floor Percentages and Offensive Ratings 154
Ch. 15 The Holy Grail of Player Ratings 181
Ch. 16 Insight on a Boxscore 192
Ch. 17 Individual Defensive Ratings 198
Ch. 18 Should I Firebomb Billy Donovan's House? 221
Ch. 19 The Problem with Scorers 232
Ch. 20 Individual Win-Loss Records 242
Ch. 21 Player Evaluation Files: The Great Ones 261
Ch. 22 Player Evaluation Files: Freaks, Specialists, and Women 290
Ch. 23 Basic Tools to Evaluate a Team 318
Ch. 24 Weather Forecasts 337
App. 1 Calculation of Individual Offensive Ratings and Floor Percentages 343
App. 2 Individual Floor Percentages and Offensive Ratings for History's Great Offenses 350
App. 3 Individual Defensive Formulas 359
App. 4 Team Statistic Historical Regression 364
Glossary 367
References 369
Index 371
About the Author 376
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