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Moneyball: The Art of Winning an Unfair Game

Moneyball: The Art of Winning an Unfair Game is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Moneyball: The Art of Winning an Unfair Game rather than just read about it. In short: Moneyball: The Art of Winning an Unfair Game is a book by Michael Lewis, published in 2003, about the Oakland Athletics baseball team and its general manager Billy Beane. It describes the team's sabermetric approach to assembling a competitive baseball team on a small budget.

Moneyball: The Art of Winning an Unfair Game — main illustration
Moneyball: The Art of Winning an Unfair Game — illustration

Key takeaways

  • Moneyball: The Art of Winning an Unfair Game belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Moneyball: The Art of Winning an Unfair Game to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Moneyball: The Art of Winning an Unfair Game from memory before moving on to harder problems.

Reference excerpt

Moneyball: The Art of Winning an Unfair Game is a book by Michael Lewis, published in 2003, about the Oakland Athletics baseball team and its general manager Billy Beane. It describes the team's sabermetric approach to assembling a competitive baseball team on a small budget. It was adapted into the 2011 film Moneyball, starring Brad Pitt and Jonah Hill.

Synopsis The central premise of Moneyball is that the collective wisdom of baseball insiders (including players, managers, coaches, scouts, and the front office) over the past century is outdated, subjective, and often flawed, and that the statistics traditionally used to gauge players, such as stolen bases, runs batted in, and batting average, are relics of a 19th-century view of the game. Sabermetrics and statistical analysis had demonstrated, for example, that on-base percentage and slugging percentage are better measures of batting. The Oakland A's began seeking players who were "undervalued in the market"—that is, who were receiving lower salaries relative to their ability to contribute to winning, as measured by these advanced statistics. By re-evaluating their strategy in this way, the 2002 Athletics, with a budget of $44 million for player salaries, were competitive with larger-market teams such as the New York Yankees, whose payroll exceeded $125 million that season. The approach brought the A's to the playoffs in 2002 and 2003. Lewis explored several themes in the book, such as insiders vs. outsiders (established traditionalists vs. upstart proponents of sabermetrics), the democratization of information causing a flattening of hierarchies, and "the ruthless drive for efficiency that capitalism demands". Moneyball also looks at how the A's evaluated prospects. Sabermetricians argue that a college baseball player's chance of MLB success is much higher than the more traditional high school draft pick. Beane maintains that high draft picks spent on high school prospects, regardless of talent or physical potential as evaluated by traditional scouting, are riskier than those spent on more experienced college players. College players have played more games and thus there is a larger mass of statistical data on which to base expensive decisions. Lewis cites A's minor leaguer Jeremy Bonderman, drafted out of high school in 2001 over Beane's objections, as an example of the type of draft pick Beane would avoid. Bonderman had all of the traditional "tools" that scouts look for, but thousands of such players have been signed by MLB organizations out of high school over the years and failed to develop as anticipated. Lewis explores the A's approach to the 2002 MLB draft, when the team had a run of early picks. The book documents Beane's often tense discussions with his scouting staff (who favored traditional subjective evaluation of potential rather than objective sabermetrics) in preparation for the draft to the actual draft, which defied all expectations and was considered at the time a wildly successful (if unorthodox) effort by Beane. Moneyball traces the history of the sabermetric movement back to such people as Bill James (then a member of the Boston Red Sox front office) and Craig R. Wright. Lewis explores how James's seminal Baseball Abstract, published annually from the late 1970s through the late 1980s, influenced many of the young, up-and-coming baseball experts that joined the ranks of baseball management in the 1990s.

Influence "Moneyball" has entered baseball's lexicon; teams that value sabermetrics are often said to be playing Moneyball. Baseball traditionalists, in particular some scouts and media members, decry the sabermetric revolution and have disparaged Moneyball for emphasizing sabermetrics over more traditional methods of player evaluation. Nevertheless, Moneyball changed the way many major league front offices do business. In its wake, teams such as the New York Mets, New York Yankees, San Diego Padres, St. Louis Cardinals, Boston Red Sox, Washington Nationals, Arizona Diamondbacks, Cleveland Guardians, and Toronto Blue Jays have hired full-time sabermetric analysts. When the Mets hired Sandy Alderson—Beane's predecessor and mentor with the A's—as their general manager after the 2010 season, and hired Beane's former associates Paul DePodesta and J. P. Ricciardi to the front office, the team was jokingly referred to as the "Moneyball Mets". Like the Oakland A's in the 1990s, the Mets had been directed by their ownership to slash payroll. Under Alderson's tenure, the team payroll dropped below $100 million per year from 2012 to 2014, and the Mets reached the 2015 World Series—en route defeating MLB's highest-payroll team, the Los Angeles Dodgers. In the 2019 and 2020 seasons, the Tampa Bay Rays were considered masters of Moneyball, reaching the 2020 World Series with a payroll prorated at $28.2 million, the third-lowest of Major League Baseball's 30 teams. Lewis has acknowledged that the book's success may have hurt the Athletics' fortunes as other teams accepted sabermetrics, reducing Oakland's edge. Since the book's publication and success, Lewis has discussed plans for a sequel to Moneyball called Underdogs, revisiting the players and their relative success several years into their careers, although only four players from the 2002 draft played much at the Major League level. Moneyball has also influenced and been influenced by other professional sports teams including European club association football (soccer). Beane has regarded Arsenal F.C.'s former manager Arsène Wenger as a personal idol. Beane has held discussions with Wenger, former Manchester United F.C. manager Alex Ferguson, and Liverpool F.C. owner John W. Henry. His friendship with ex-Arsenal scout Damien Comolli and Arsenal owner Stan Kroenke allowed him to delve deep into the world of English football. According to El País, Liverpool F.C. co-owner John W. Henry did not trust public opinion, so he looked for a mathematical method similar to the one used for the Boston Red Sox, which he also owns via Fenway Sports Group, in guiding them to three World Series wins. The mathematical model turned out to be that of Cambridge physicist Ian Graham, which was used to select the manager (Jürgen Klopp) and players essential for Liverpool to win the 2018–19 UEFA Champions League.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Moneyball: The Art of Winning an Unfair Game

Start with the simplest possible case. Write down what Moneyball: The Art of Winning an Unfair Game claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Moneyball: The Art of Winning an Unfair Game before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Moneyball: The Art of Winning an Unfair Game ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Moneyball: The Art of Winning an Unfair Game

In research
Moneyball: The Art of Winning an Unfair Game appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Moneyball: The Art of Winning an Unfair Game in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Moneyball: The Art of Winning an Unfair Game is common in secondary-school and first-year university syllabi. It links to neighbouring topics 2003 non-fiction books, Baseball books, Books about the San Francisco Bay Area, so understanding it makes those chapters shorter.
In everyday life
Look for Moneyball: The Art of Winning an Unfair Game outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Moneyball: The Art of Winning an Unfair Game in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Moneyball: The Art of Winning an Unfair Game means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Moneyball: The Art of Winning an Unfair Game out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Moneyball: The Art of Winning an Unfair Game in simple terms?

Moneyball: The Art of Winning an Unfair Game is a book by Michael Lewis, published in 2003, about the Oakland Athletics baseball team and its general manager Billy Beane. It describes the team's sabermetric approach to assembling a competitive baseball team on a small budget.

Why does Moneyball: The Art of Winning an Unfair Game matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Moneyball: The Art of Winning an Unfair Game?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Moneyball: The Art of Winning an Unfair Game.

Tags

  • 2003 non-fiction books
  • Baseball books
  • Books about the San Francisco Bay Area
  • Books by Michael Lewis
  • Non-fiction books adapted into films
  • Oakland Athletics
  • Works about baseball statistics

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