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The MVP machine : how baseball's new nonconformists are using data to build better players / Ben Lindbergh & Travis Sawchik.

Lindbergh, Ben, author. (Author). Sawchik, Travis, author. (Added Author).
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Available copies

  • 2 of 2 copies available at LARL/NWRL Consortium.
  • 2 of 2 copies available at Lake Agassiz Regional Library. (Show preferred library)

Current holds

0 current holds with 2 total copies.

Location Call Number / Copy Notes Barcode Shelving Location Status Due Date
Breckenridge Public Library 796.3576 LIN (Text) 33500013097100 New Available -
Detroit Lakes Public Library 796.3576 LIN (Text) 33500013097118 New Available -

Record details

  • ISBN: 9781541698949
  • ISBN: 1541698940
  • Physical Description: viii, 374 pages ; 25 cm
  • Edition: First edition.
  • Publisher: New York : Basic Books, an imprint of Perseus Books, LLC, 2019.

Content descriptions

Bibliography, etc. Note: Includes bibliographical references (pages 355-360) and index.
Formatted Contents Note: Saviormetrics -- A natural maniac, an unnatural athlete -- Making mules into racehorses -- First principles -- A bottom-up revolution -- The 10,000-pitch rule -- The conduit -- Perfect pitch -- We're all astronauts -- SpinGate -- Amateur ball -- The all-star player-coach -- Performance-enhancing data -- Just be better -- Soft factors -- If you build them, they will come -- No ceiling.
Summary, etc.: "[T]he Moneyball era is over. Fifteen years after Michael Lewis brought the Oakland Athletics' groundbreaking team-building strategies to light, every front office takes a data-driven approach to evaluating players, and the league's smarter teams no longer have a huge advantage in valuing past performance. Lindbergh and Sawchik's behind-the-scenes reporting reveals: How the 2017 Astros and 2018 Red Sox used cutting-edge technology to win the World Series ; How undersized afterthoughts José Altuve and Mookie Betts became big sluggers and MVPs ; How polarizing pitcher Trevor Bauer made himself a Cy Young contender ; How new analytical tools have overturned traditional pitching and hitting techniques ; How a wave of young talent is making MLB both better than ever and arguably worse to watch. Instead of out-drafting, out-signing, and out-trading their rivals, baseball's best minds have turned to out-developing opponents, gaining greater edges than ever by perfecting prospects and eking extra runs out of older athletes who were once written off. Lindbergh and Sawchik take us inside the transformation of former fringe hitters into home-run kings, show how washed-up pitchers have emerged as aces, and document how coaching and scouting are being turned upside down. The MVP Machine charts the future of a sport and offers a lesson that goes beyond baseball: Success stems not from focusing on finished products, but from making the most of untapped potential." -- Provided by publisher.

  • Booklist Reviews : Booklist Reviews 2019 June #1
    Every savvy baseball fan has internalized the message of Michael Lewis' Moneyball: advanced statistical analysis—sabermetrics—can give teams a huge advantage in identifying emerging superstars. Lindbergh and Sawchik here illuminate an underappreciated corollary: the same statistical sophistication can actually help teams develop seemingly lackluster players. So, while Lewis focused on Oakland's success in using sabermetrics to pick up young stars such as Nick Swisher and Joe Blanton before other teams recognized their abilities, Lindbergh and Sawchik highlight Houston's success in using similar statistical resources—aptly renamed "saviormetrics"—to lift so-so major leaguers, such as Ryan Pressly and Charlie Morton, to unexpectedly higher levels of performance. Readers with a longer-term time perspective will appreciate the close look at how Houston has also applied saviormetrics to the team's farm clubs, transforming them into an impressively productive source of new players. As other clubs emulate Houston's developmental model, the sabermetric transformation of the game will only accelerate. Who knew that the game of pine tar and chewing tobacco would one day belong to wizards with laptops? Copyright 2019 Booklist Reviews.

Author Notes

Ben Lindbergh is a staff writer for The Ringer. He also hosts the Effectively Wild podcast for FanGraphs and regularly appears on MLB Network. He is a former staff writer for FiveThirtyEight and Grantland, a former editor-in-chief of Baseball Prospectus, and the New York Times bestselling co-author of The Only Rule Is It Has to Work: Our Wild Experiment Building a New Kind of Baseball Team. He lives in New York City.

Travis Sawchik is a staff writer for FiveThirtyEight and regularly contributes to The Athletic Cleveland. He previously covered the Pirates for the Pittsburgh Tribune-Review. Travis is the author of the New York Times bestseller Big Data Baseball: Math, Miracles, and the End of a 20-Year Losing Streak. Sawchik has won national Associated Press Sports Editor awards, and his work been featured or referenced on ESPN, Grantland, and MLB Network. Sawchik lives in Bay Village, OH.

Subject: Baseball > United States.
Baseball players > United States.
Baseball teams > United States.
Baseball > Statistical methods.
Baseball > Mathematical models.
Baseball players.
Baseball > Statistical methods.
Baseball teams.
United States.

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