Predictably Irrational meets Moneyball in Smart Baseball by ESPN veteran writer and statistical analyst Keith Law. Looking at the numbers game of baseball, Law proves why some of the most trusted stats are surprisingly wrong, explains what numbers actually work, and explores what the rise of Big Data means for the future of the sport.

For decades, statistics such as batting average, saves recorded, and pitching won-lost records have been used to measure individual players' and teams' potential and success. But in the past fifteen years, a revolutionary new standard of measurement—sabermetrics—has been embraced by front offices in Major League Baseball and among fantasy baseball enthusiasts. But while sabermetrics is recognized as being smarter and more accurate, traditionalists, including journalists, fans, and managers, stubbornly believe that the "old" way—a combination of outdated numbers and "gut" instinct—is still the best way.

In Smart Baseball, the renowned ESPN analyst and senior baseball writer demolishes a century's worth of accepted wisdom, making the definitive case against the long-established view.

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