Curve Ball: Baseball, Statistics and the Role of Chance in the Game FROM THE PUBLISHER
"To real baseball fans, statistics are indispensable, and inextricably tied to understanding and enjoying the game. But how useful are ordinary baseball stats as tools for evaluating a player, choosing a strategy, or predicting a winner?" "In this look at the numbers and the game, Jim Albert and Jay Bennett examine just what we learn, and just what we think we learn, from baseball statistics. The authors consider the key questions every serious fan obsesses about: What is the best way to rate a great hitter? Is there really a fair way to name an MVP? Does anyone have a reasonably accurate way to predict the outcome of a game? How likely is it that some of the game's milestone achievements (e.g., Mark McGuire's single-season home run record) will be broken?" "By incorporating the seldom-used statistical techniques of probability, the authors come to some original and surprising conclusions: It turns out, for example, that the phenomenon of "streakiness" (a hot hand, a hot bat) is measurable and can serve as a very useful predictor of performance. Conversely, they find that a lot of situational statistics (home versus away games, play on artificial turf versus grass) are, statistically speaking, little more than "noise." And, in news that will bring consolation to Cubs and Red Sox fans, they declare that it's not always the best team that wins the World Series." "Keeping the mathematics at an accessible level, Albert and Bennett show that statistics is not just a powerful tool of analysis and prediction, but a pleasurable and informative pastime in its own right."--BOOK JACKET.
SYNOPSIS
Curve Ball provides the non-specialist, general reader with a sophisticated
but accessible approach to statistics that can greatly enhance their
understanding and appreciation of baseball numbers and the game itself.
With their unique and original approach to the subject, Jim Albert and Jay
Bennett have successfully collaborated to present a coherent and informative
introduction and survey of the many statistics that are a part of the
baseball experience.
FROM THE CRITICS
SEATTLE POST
"Numbers add to the beauty of baseball . . . Baseball is a lovely dance of numbers . . . [Jim Albert and Jay Bennett] have taken the sport's statistical bent to a new extreme . . . CURVE BALL is a study in how the game is wonderfully prone to numerical study. . . . for numerical loyalists, this book delivers a new degree of bliss."
Wall Street Journal
Smart and energetic . . . hardcore fans will find its mission refreshing. Curve Ball doesn't pay the usual misty-eyed homage to baseball's traditions and conventional wisdom. Rather it tests whether baseball's accepted measurements stand up to scrutiny. . . . This is great stuff. . . . Curve Ball makes clear how pleasurable [stats] can be, and arguably how important, to view the great American game with real precision.
Science News
Two mathematicians with a passion for America's national pastime help their
fellow baseball and numbers fans look anew at the statistics that
proliferate in the sport. Most sports statistics are nothing more than
data, say Albert and Bennett. They go a step further by applying
statistical models to the numbers to reveal hidden truths. Readers begin
with a primer on data analysis as they consider tabletop baseball games.
Then the authors delve into batting statistics, examining the notion of
streaks, situational effects, and new measures of performance. Finally,
they look at the ways that statistical models -- and chance -- can predict
individuals' performances and teams' wins. All this offers readers an
interesting way to learn the basic concepts of the often-daunting field of
statistics.
Sci-Tech Book News
Two statisticians and baseball fans advocate a fresh approach to statistics
that permits baseball enthusiasts to increase their understanding of
baseball numbers and further appreciate the game. Some of the themes
explored include situational statistics, the phenomenon of 'streaks,' or
alternatives to traditional measures such as the time-honored batting
average.
Library Journal
Baseball is a fascinating game for the statistical analyst. On the surface it appears so simple and limited. But the more closely one studies the game, the more, it seems, there is to know. The coauthors are both former chairs of the American Statistical Association Section on Statistics in Sports and fans of the Philadelphia Phillies. Though there are many other books about baseball statistics, these authors are particularly sophisticated statisticians. As they illuminate baseball, they demonstrate the power of college-level statistics to interpret the numbers. Starting with simplified board game simulations, the authors show how to model player performance or predict game outcomes. Then they use actual statistics to make the models more complex and true to life. Part of the fun is that statistical results can be counterintuitive. Does the best team always win the World Series? Not necessarily. No matter how talented other teams are, the element of chance means that Phillies fans can still hope for victory. Recommended for public and academic libraries, especially in cities with a major league baseball team. Amy Brunvand, Univ. of Utah Lib., Salt Lake City Copyright 2001 Cahners Business Information.
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