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46 pages 1 hour read

Moneyball: The Art of Winning an Unfair Game

Nonfiction | Book | Adult | Published in 2003

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Book Brief

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Michael Lewis

Moneyball

Nonfiction | Book | Adult | Published in 2003
Book Details
Pages

317

Format

Book • Nonfiction

Setting

Oakland, California • 2000s

Publication Year

2003

Audience

Adult

Recommended Reading Age

16-18 years

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Super Short Summary

Moneyball: The Art of Winning an Unfair Game by Michael Lewis details how Oakland A’s general manager Billy Beane used sabermetrics, a statistical approach developed by Bill James, to build a competitive baseball team with a limited budget in 2002, challenging traditional scouting methods and ultimately achieving remarkable regular-season success but faltering in the playoffs.

Informative

Challenging

Inspirational

Reviews & Readership

4.5

142,122 ratings

84%

Loved it

11%

Mixed feelings

4%

Not a fan

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Review Roundup

Michael Lewis' Moneyball is widely praised for its compelling narrative and insightful analysis of baseball economics and data-driven strategies. Critics commend Lewis' engaging writing and his ability to simplify complex statistical concepts. However, some find the heavy focus on analytics somewhat dry. Overall, it’s lauded for revolutionizing perspectives on sports management.

Who should read this

Who Should Read Moneyball?

Readers who enjoy Moneyball by Michael Lewis typically revel in gripping narratives about the intersection of sports, economics, and data analytics. Fans of books like The Big Short and Freakonomics will find the analytical yet engaging exploration of baseball's undervalued players compelling and insightful.

4.5

142,122 ratings

84%

Loved it

11%

Mixed feelings

4%

Not a fan

Character List

Billy Beane

The general manager of the Oakland A’s, known for adopting sabermetrics to improve the team's performance despite budget constraints. A former top baseball prospect, he transitioned from playing to front office work after a challenging playing career.

Beane’s assistant general manager and a Harvard-educated economist who implements sabermetrics for the A’s. With no prior Major League Baseball experience, he utilizes his statistical expertise to identify undervalued players.

A pioneering statistician whose work laid the groundwork for sabermetrics, influencing the approach taken by the Oakland A’s. Although not affiliated with the team, his analysis challenged traditional baseball wisdom.

A catcher drafted by the Oakland A’s in 2002, representing the team's unconventional player-selection strategy. Despite being overlooked by other teams, his college performance and high on-base percentage made him valuable to the A’s.

Book Details
Pages

317

Format

Book • Nonfiction

Setting

Oakland, California • 2000s

Publication Year

2003

Audience

Adult

Recommended Reading Age

16-18 years

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