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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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Chapters 5-8Chapter Summaries & Analyses

Chapter 5 Summary: “The Jeremy Brown Blue Plate Special”

The action moves back to draft day 2002, picking up where Chapter 2 left off. We learn that Beane has been the Oakland A’s general manager since 1997, and this is the first year that he has decided to fully implement his new approach to choosing draft picks based on Bill James’s ideas. Lewis relates the action as it is happening, from an hour before the draft begins through its end.

Beane first checks with the scouts in charge of the players he wants. Most important is the catcher Jeremy Brown, whom a scout named Billy Owens was in charge of recruiting. Owens reports that Brown should be all set: the A’s will take him in the first round for $350,000 a year and with the condition that he lose weight. That was considerably less money than other teams were paying for a first-round pick, but no one else wanted Brown. It was kind of a trade-off on Brown’s ego; be drafted early but accept a bargain package.

Soon Beane starts talking to other general managers on the phone, feeling out where they stand on certain players. He thinks he knows everyone’s pick until the A’s first at number 16. He intends to use that to take Nick Swisher, a center fielder who played for the Ohio State University. Swisher is the one player that both Beane and the other teams want, though for different reasons. Beane likes his attitude; he has a drive that reminds him of his former Mets teammate Lenny Dykstra.

Before long, a problem emerges. Another center fielder whom the Colorado Rockies were likely to take demanded too much money to sign, and the Rockies balked. Beane runs through the list of earlier players and deduces that the Mets would now take Swisher with their 15th pick, just before the A’s could get him. He gets on the phone and calls the Mets’ GM to get a sense of where they stand. They talk about other players, but when he hangs up, Beane is convinced the Mets will take Swisher. He is upset, and the others in the room know enough to stay out of his way and keep quiet.

Calls come in from other teams. Ever persistent, Beane calls the Mets’ GM again. He learns they will take a certain pitcher if he’s available when their pick comes, which would leave Swisher for the A’s. Beane’s mood brightens a bit just as the draft begins. The teams with the worst records the previous year get the first pick, and all select high school players. This is exactly the mindset Beane is bucking in his own team since statistics show that college players are more successful overall. The Mets take the pitcher they wanted, so the A’s get Swisher.

Beane starts calculating who else he could get on his wish list. Soon things break his way, and the A’s get who they want with the next two picks as well: a pitcher that Beane thinks is the second best in the draft and a shortstop who is a good hitter. The players he wants, including catcher Jeremy Brown, are all available with the next three picks. When all is said and done, the A’s get 13 of the 20 players on their wish list, a very high percentage.

Chapter 6 Summary: “The Science of Winning an Unfair Game”

This chapter explains how Billy Beane tried to keep the Oakland A’s competitive against teams that had far more money to spend on players. The inequality among teams in Major League Baseball was much greater than that within professional football or basketball, and in 1999, baseball commissioner Bud Selig created a blue-ribbon committee to investigate it. Overall, it concluded that the inequality had a harmful effect on baseball, but one member, Paul Volcker, wondered how the Oakland A’s could win so many games with their small budget. Billy Beane was brought in to testify, and he told them what they wanted to hear, going along with the idea that his club was just lucky, and that luck would soon run out.

In private, Beane didn’t believe this. He knew the A’s were exploiting inefficiencies in the game that other teams ignored. Indeed, the A’s went on to improve their record in both 2000 and 2001. In 2000, they had come close to defeating the Yankees in the playoffs. However, they faced a challenge in 2001 after the Yankees signed the A’s star player, Jason Giambi, to a $120 million contract when he became a free agent. How to replace Giambi and two other top players who left the A’s became a primary concern.

One player who left was Jason Isringhausen, a closing pitcher. To the A’s, this loss was “a happy consequence of a money machine known as ‘Selling the Closer’” (125). Unlike other teams, they felt that closers could be made from average pitchers relatively easily. Baseball insiders relied on the main closers’ statistic of saves. Beane and DePodesta, however, didn’t see much value in this, and they picked up cheap pitchers for closers and traded them when their stock rose based on their saves. Isringhausen had netted the A’s both Jeremy Brown and a new pitcher in the 2002 draft.

Another top player to leave the team was center fielder Johnny Damon, who left two holes to fill. Besides his fielding skills, he was the A’s leadoff hitter. DePodesta estimated that Damon’s offensive production could be made up by others. Not long after DePodesta had graduated from Harvard University, he had taken all the statistics from the 20th century for every baseball team and run them through a computer program, looking for those that most closely correlated with winning. One was on-base percentage. Damon’s on-base percentage for his last year with the A’s was .324, and DePodesta was confident others could accomplish that. DePodesta relied on a technique that had been pioneered by Wall Street in the 1980s: derivatives. In the financial world, new markets had been created by options and futures—really just pieces of stocks and bonds that had been divided up. In theory, the pieces put back together should be the same price as the original stock or bond. If they weren’t, it signaled an inefficiency that traders took advantage of to make money. The A’s did a similar thing with players: traded in “pieces.”

This same idea was used in the 1990s by a company called AVM Systems. Its owners analyzed ten years’ worth of games to get an average of what happens every time a ball was put into play. By dividing up the baseball field into a grid, they could determine the average outcome for every location a ball was hit to. Likewise, every play was divided up into its constituent elements. DePodesta used AVM’s method to devise his own system for the A’s. This allowed them to calculate every event’s impact on the team’s likelihood of scoring runs and be able to credit or debit each player for his actions. Damon’s defensive play could thus be assigned a number for how many runs he prevented the other team from scoring. Replacing this would be expensive based on the market, as the league place too high a value on defensive skills. To the A’s, however, it was also unnecessary, as it would simply be easier to make up the difference on offense by scoring more runs.

Chapter 7 Summary: “Giambi’s Hole”

In Chapter 7, Lewis discusses how the A’s attempted to fill the hole left when their best player Jason Giambi left for the Yankees. He does this by describing a game early in 2002 when Giambi’s Yankees were in town to play the A’s. Lewis explains that Beane rarely watched his team’s games. Normally, he would work out in the weight room or drive around, only occasionally stopping into the video room to talk to Paul DePodesta. Thus, DePodesta was the one who guided Lewis through the game.

Already early in the first inning, Yankees were on base at third and first when Jason Giambi steps to the plate. DePodesta explains that Giambi was a master at controlling the strike zone. There was one small sliver inside the zone that was Giambi’s “hole”—a place he didn’t swing at because he couldn’t hit it well. However, that was just a few inches away from the sweet spot where Giambi would knock the ball out of the park. Pitching to him was clearly tricky. On the second pitch, he hits a single that drives the man on third to home.

When the A’s come to bat, DePodesta watches a special video from a camera trained perfectly on the strike zone; that’s all he’s interested in. He tells Lewis that they have analyzed all the team’s hitters and come up with a percentage representing how often each swung at a ball outside the strike zone. They use this to help them drill into the players how important it is not to swing and just try to get walked. This works to a limited degree; Beane is convinced it can’t really be taught.

During this time, outfielder David Justice comes in to check on the video of his time at bat. Justice was hired as one of the pieces of the puzzle to make up for Giambi’s lost offense. He’s the rare exception on the team, as he looks the part of the chiseled ball player the old scouts love, but he’s 36 years old. The previous year he appeared to lose a step and the rest of the league sees him as washed up. That’s the only reason the A’s can now afford him. They saw value in him because he drew a lot of walks and were trying to get another year or two of his good on-base percentage.

By the third inning, the Yankees were leading 5-1. Miguel Tejada hits a home run with another player on base, and the Yankees’ lead is cut to two. A couple of innings later, Justice scores, and the second player hired to make up for Jason Giambi comes to bat: Jeremy Giambi, Jason’s younger brother. Jeremy is not the player Jason is but, like Justice, has a commendable resistance to swinging and a solid on-base percentage. He gets walked, driving in a run, and the game is tied.

In the seventh inning, the Yankees go up again and hang on to win the game. Afterward, Scott Hatteberg enters the video room to see tape of himself. Hatteberg was a catcher who got injured and could no longer throw; like most of his teammates, his stock in the league had fallen so the A’s could afford him. He was the third player hired to replace Jason Giambi’s offense: “He had the same dull virtues as David Justice and Jeremy Giambi: plate discipline and an ability to get on base” (160). The only question left was what position he would play.

Chapter 8 Summary: “Scott Hatteberg, Pickin’ Machine”

This chapter is about catcher Scott Hatteberg, who became a first baseman on the Oakland A’s, and why he was so valuable to his new team. The Boston Red Sox had traded Hatteberg when surgery for a ruptured nerve left him in need of serious rehabilitation. His new team, the Colorado Rockies, gave him free agency since they thought no one else would want him, and offered him only half his old salary. The A’s gave him a better offer, and he signed with them for the 2002 season.

The A’s staff was interested in Hatteberg’s hitting ability, but for him to be in the lineup he had to play a defensive position. Since he could no longer catch, they moved him to first base, replacing Jason Giambi. Hatteberg was nervous about the position change, let alone following in the footsteps of the famous first baseman. The A’s infield coach, Ron Washington, helped him transition until he became an adequate fielder in the summer of 2002, encouraging him by calling him a “pickin’ machine” when he made a good play at first base.

The team’s real interest in Hatteberg, though, was his hitting. He had always been a discerning, thoughtful hitter who was in no hurry to swing. Even if he felt he could hit a pitch, he wouldn’t swing if it wasn’t the right pitch for him. That is, if he thought he might pop up a fly ball or hit a grounder that would be easily fielded, he’d wait and take a strike. He wanted the pitch that was in his zone—one he could actually do something with. This he had patterned after his hero, former Yankee Don Mattingly, who was also patient. As a result, Hatteberg’s on-base percentage was well above the league average, and he helped wear down opposing pitchers from the high number of pitches he took.

Lewis explains that Hatteberg had always been a patient hitter even when teams tried to break him of the habit. On the Red Sox, he was often criticized for not swinging more. The hitting coach was Jim Rice, who had been a big slugger in his playing days and who used his own style as a template for everyone, calling out Hatteberg time and again for his more thoughtful approach. To the A’s, however, Hatteberg was just what they were looking for, and their treatment of him was the opposite of Boston’s. Hatteberg even kept notes of his record against opposing pitchers and watch tape of them to look for patterns, so he fit right in with Beane’s team. By the end of 2002, DePodesta had calculated that if a team were composed entirely of Hattebergs, his hitting statistics would have produced nearly 950 runs. The powerhouse Yankees only had 897 runs that year, leading Lewis to conclude, “Nine Scott Hattebergs are, by some measure, the best offense in baseball” (187).

Chapters 5-8 Analysis

These four chapters cover the A’s 2002 season up through mid-year. We see how the draft (introduced in Chapter 2) turns out and get an explanation of how the A’s made their unique system work. The prevalent themes here are the David versus Goliath parallel and statistical analysis in baseball. The former comes through in Chapter 6 with the blue-ribbon commission set up by the league to investigate the economics of baseball and whether it left rich teams too dominant. Billy Beane was even called to testify when one of the commission members kept asking how the A’s stayed competitive in the face of such inequality. Beane played up the team’s role as an underdog, David competing against Goliath, convincing everyone it was sheer luck. He did this to try to keep his professional secrets from coming to light. Lewis relates all with his usual lively writing style, declaring that Beane’s tactics showed he “could throw the best pity party this side of the Last Supper” (122).

Beane’s secret was, in fact, not very well kept. Sabermetrics, or the statistical analysis of baseball, was widely known—it was just ignored. The ensuing chapters show how the A’s put sabermetrics into practice. They first identified young players within their budget who performed at a high level by their standards. Because they relied on a different kind of evaluation than other teams, these players cost the A’s relatively little. Where others looked at batting average, for example, they focused on on-base percentage, a figure that included not just hits but walks as well. Once on the team, those players often did well, attracting the attention of the rest of the league. When the players reached free agency, the A’s could not compete with the deep pockets of the Yankees and others, so they’d lose that player and have to replace him. Thus, the cycle began all over again. Their statistics told them what specific value the lost player had given them, and they would seek to make that up usually with multiple players rather than just one.

This is the situation when Jason Giambi leaves the team. Lewis describes how the A’s strategy resembles financial derivatives, pieces of the whole that should provide the same total value. Thus, three players’ output might replace that of a single outstanding player. Scott Hatteberg is one player the A’s used to provide some of the offensive output that Giambi had given them. Because an injury left Hatteberg unable to play his original position (catcher), other teams paid him little attention. He fit in well with the A’s, however, who got him for a bargain-rate salary and turned him into a first baseman. It was his offense they were really interested in.

Here again the A’s were at odds with other teams. Hatteberg wasn’t a big hitter or prolific swinger, so he was overlooked. He was very good at getting on base, though, due to walks, something the A’s valued. In every aspect, it seems, the A’s and other terms were comparing apples and oranges, which gave the A’s the advantage when they found a player with traits they knew would help them be successful but that other team’s didn’t realize were valuable.

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