The New York Times bestseller: "A useful, entertaining look back at how the Pirates turned a small market, longtime loser into a playoff team." -- Baseball America

After twenty consecutive losing seasons for the Pittsburgh Pirates, team morale was low, the club's payroll ranked near the bottom of the sport, game attendance was down, and the city was becoming increasingly disenchanted with its team. Big Data Baseball is the story of how the 2013 Pirates, mired in the longest losing streak in North American pro sports history, adopted drastic big-data strategies to end the drought, make the playoffs, and turn around the franchise's fortunes.

Big Data Baseball is Moneyball for a new generation. Award-winning journalist Travis Sawchik takes you behind the scenes to expertly weave together the stories of the key figures who changed the way the Pirates played the game, revealing how a culture of collaboration and creativity flourished as whiz-kid analysts worked alongside graybeard coaches to revolutionize the sport and uncover groundbreaking insights for how to win more games without spending a dime.

From pitch framing to on-field shifts, this entertaining and enlightening underdog story closely examines baseball's burgeoning big data movement and demonstrates how the millions of data points which aren't immediately visible to players and spectators, are the bit of magic that led the Pirates to finish the 2013 season in second place and brought an end to a twenty-year losing streak.

"A particular kind of nerd heaven and if you're even vaguely interested in advanced analytics, you should already be halfway through the second chapter by now." -- MLB.com

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