How Statistics Redefined Baseball

Billy Beane (left) and Paul DePodesta (right) at the 2011 Toronto International Film Festival | September 2011 | Courtesy of Wikimedia Commons

What if I told you that in 2002, baseball was revolutionized by mathematics? Would you believe me? Well, nobody at that time believed that Billie Beane’s statistical methods would change the way player acquisition works in the MLB. And nobody imagined the success that this statistic-minded system would generate for the Oakland Athletics in the historic 2002 season. Billie Beane managed, against all odds, to beat the money-driven system that reined in the Major League Baseball and proved the world wrong.

Billie Beane grew up playing and learning about baseball. He was a big prospect during his youth and by the time he was in college, he received an offer from the New York Mets to play in the big leagues. He chose baseball and money over his studies, and that is how he entered the MLB. Many years later, Beane said that this decision was the only one he would do just for the money.1 And even though he didn’t have a successful career as a player, he did shine as a general manager.

Image 1. MLB payrolls for the “Moneyball” 2002 season | October 2011 | Darryl Leewood | Courtesy of Wikimedia Commons

In his fifth year as a general manager for the Oakland Athletics, Beane decided he had had enough. The team had really been struggling; free agents were leaving and the results were discouraging season after season. The Athletics were one of the poorest teams in the league, so they did not have the budget to acquire the top free agents in the market (see image 1). And right before the beginning of the 2002 season, Beane and his assistant, Paul DePodesta, sat down and found a way to create a playoff contender team with the small budget they had available.

DePodesta wasn’t the usual general manager’s assistant. And that is one of the reasons why Beane was so successful when implementing his new approach to the game. But why did Beane have an Economics graduate from Harvard as his assistant? He did know a lot about baseball, but what made him different from other assistants was his analytical approach to the game. He saw the baseball-player market from a different perspective, and that is why he could see what other scouts couldn’t. That is why he was able to find the players Beane needed, in order to show the world that money wasn’t everything. But, why did people think that having a huge payroll was the key to winning baseball games?2

The Major League Baseball at the time was thought to be money-driven. Many argue that every sport is so driven in the modern era. And during the final years of the twentieth century, MLB salaries were increasing rapidly.3 Big teams, like the New York Yankees and the Boston Red Sox, had the budget to buy the top free agents of the league. That is why Beane wanted his team to stop trying to do what the big teams were doing. They simply didn’t have the same kind of money. In fact, the Oakland Athletics had almost the lowest payroll in the league. This is why Beane focused on finding players that had not yet been noticed but were consistent and cheap. So, how did Beane and DePodesta make this system work?

As the 2002 MLB draft was approaching, Beane and DePodesta started analyzing players. Instead of focusing on judgments from experts, like scouts and coaches, they focused on undervalued players that showed potential on unexplored areas of the game (overlooked and undervalued stats). This lead to skepticism from the organization and from the fans around the world. However, Beane’s determination, which jeopardized his job, proved to be stronger than all the criticism he had to face at the beginning of the season.4

Billy Beane in 2010 | October 7, 2010 | Courtesy of Wikimedia Commons

Baseball is a statistical sport, and it regularly generates statistical information about players. There are several ways to measure a player’s offensive productivity in baseball. The most common measure of productivity at the bat is called the batting average. This average is simply the ratio of hits to the amount of times a player is at-bat. This measurement, along with the slugging percentage (total bases divided by at-bats) were regularly used by coaching staffs around the league to determine the value of a player. However, these measurements don’t take into consideration the sacrifices and walks a player gets. By ignoring these other statistics, coaches and managers often missed a lot of information about the players they were acquiring. Beane, instead of focusing on the popular measurements, focused on acquiring players with a high on-base percentage (how often a player receives a walk). This was crucial for the system to work, given that on-base percentage was greatly undervalued at the time. It allowed Beane to create a team with disciplined hitters without spending too much money, which proved to be key for the Athletics’ success.5

One of the first moves Beane made before the 2002 season was drafting David Beck, a low-key player that went unnoticed by most of the teams. He was the first draft pick that came out of Beane’s new system. He then fired his head scout and used the amateur draft to acquire cheap players. Before the 2002 draft, Beane’s scouts were ordered to not even consider acquiring high school players, because there were few statistics about their game. Beane told everyone to stop focusing on the strong hitters and asked for consistency. An example of this approach is Mark Teahen, a player DePodesta liked due to his consistency to get on base. And so, Beane created a shortlist of players who were not seen as MLB material. Some of them were overweight, others were slow. And every time the scouts thought they had found a good candidate, their GM didn’t agree.6

After the 2002 draft was over, Beane managed to acquire most of the players on his wish list. Why? Because no other team wanted them. And as the season progressed, the Athletics used the same approach to trade players. This caused Beane to loose the organization’s trust and support. There were even times when he was questioned by DePodesta. However, he was a man with a mission; and for the first time, he knew exactly how to accomplish it.7

How did the new system impact the team? At first, morale was low and the team wasn’t getting the results Beane expected. However, as the season progressed and trades were made, good news started to happen. The true success came in the second half of the 2002 season. The trade for John Mabry, which was seen as irrational, really had a positive impact on the team’s results. Not long after acquiring him, Oakland passed from having a record of 20-25 to an astonishing record of 60-46.8 This 2002 season, the Oakland Athletics set a record for consecutive wins in the American League history (20 games). And they ended up the season with a remarkable 103-59 record.9

Bill James | November 2010 | Colette Morton and Dan Holden | Courtesy of Wikimedia Commons

It is important to know that even though Beane and DePodesta were the first ones to implement this strategy in the world of baseball, their work was based on Bill James’ proposition. Bill James is known as “the father of sabermetrics.” He started writing about baseball statistics in the late 70s and he was the one who initially realized that GMs in the MLB weren’t using and interpreting statistic correctly. He even started a business with the sole purpose of measuring and publishing baseball statistics. Failing to create awareness on the subject, James had to wait until Billy Beane put his work in action.10

Even though the Oakland Athletics failed to win it all that season, Beane achieved his goal and created a playoff team. He demonstrated to the world and to himself that money wasn’t the only thing that mattered when it came to winning. This team gave a historic season to the city of Oakland and they set an example for teams around the league.

This style of management and scouting affected the league in several ways. The use of sabermetrics has increased over the years and now every team relies on it for their decision-making process. Thanks to technology, more statistics can be measured and managers and scouts have more input on a player’s value. When asked if the analysis of statistics and sabermetrics has improved the management of baseball, Bill James said: “I don’t know that it has, but we produce information, and information ties the fans to the game. People in a culture with no information about baseball have no interest in baseball.”11

Talking about Bean himself, the introduction of this method to the league and the 2002 season in general made him one of the most famous general managers in history. Even though some people said that the results were a matter of luck, Beane and DePodesta showed through their success that the decision-making process in the MLB needed to change. Beane was even offered the General Manager position for the Boston Red Sox, an offer that would have made him the highest paid general manager in history.12 However, as tempting as it sounded, Beane wasn’t able to sign the contract and leave his team behind. He continued to work with DePodesta in the city he loved and found joy in his work again, all this while redefining management in baseball.

  1. Michael Lewis, Moneyball: the art of winning an unfair game (New York: W.W. Norton, 2003), 15.
  2. Michael Lewis, Moneyball: the art of winning an unfair game (New York: W.W. Norton, 2003), 18.
  3. Jahn Hakes and Raymond D Sauer, “An Economic Evaluation of the Moneyball Hypothesis,” Journal of Economic Perspectives 20, no. 3 (2006): 180.
  4. Jahn Hakes and Raymond D, “An Economic Evaluation of the Moneyball Hypothesis,” Journal of Economic Perspectives 20, no. 3 (2006): 180-182.
  5. Jahn Hakes and Raymond D, “An Economic Evaluation of the Moneyball Hypothesis,” Journal of Economic Perspectives 20, no. 3 (2006): 174-175.
  6. Michael Lewis, Moneyball: the art of winning an unfair game (New York: W.W. Norton, 2003), 25-35.
  7. Michael Lewis, Moneyball: the art of winning an unfair game (New York: W.W. Norton, 2003), 25-35.
  8. Michael Lewis, Moneyball: the art of winning an unfair game (New York: W.W. Norton, 2003), 166.
  9. Sandy Mochamad and Utami Ami, “Analysis of Decision Making Process in Moneyball: The Art of Winning an Unfair Game,” Journal The Winners: Economics, Business, Management, And Information System Journal 16, no. 1 (2015): 59.
  10. Michael Lewis, Moneyball: the art of winning an unfair game (New York: W.W. Norton, 2003), Chap 4.
  11. Brian Costa, “Bill James and Billy Beane Discuss Big Data in Baseball,” Wall Street Journal (Online) 1 (September 2015): 15-17.
  12. Michael Lewis, Moneyball: the art of winning an unfair game (New York: W.W. Norton, 2003), 230.
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28 Comments

  • I had never heard about his before reading this article. Statistics do play a large role in analyzing players and seeing which team will sign them. This truly changed the way people see the sport and had a great impact. This article was extremely interesting to read and very well written. It gave me many facts I did not know.

  • I am a big fan of baseball and was unaware of this way of management. I was under the impression that scouts picked only the best of the best. I understood that each team had a budget, some larger than others, but that it was mostly up to the scouts to find the right players. I think it is awesome that Beane made a whole team of players who many over looked. I feel like this happens a lot at the next level. Scouts and managers believe they have the best of the best but many players are overlooked. I think unfortunately its part of it but this idea to take a closer look at stats helps to eliminate it a bit more.

  • Baseball and mathematics, count me in! It is amazing how people can accomplish things with so much knowledge of a subject. I enjoyed how this story show the talents that the team had and accomplished a common goal with the statistical analysis of mathematics. I also really enjoyed the format of this article which was interactive and a good read!

  • This article was interesting to read. I didn’t know that baseball stats were introduced just over a decade ago in 2002. The way that Beane changed the MLB was interesting to read. Statistics of players are important when it comes to signing players. They are important in other leagues such as the NBA and NFL. I enjoyed this article.

  • All throughout sports today, it’s being analyzed by statistics. Which basketball player has the better shooting percentage or which pitcher has the better ERA (Earned Run Average)? Billy Beane changed the way players are being looked at in different sports. I have never heard of Billy but he revolutionized the use of statistics and sabermetrics to build a well balanced playoff team. This was a very well written article that I enjoyed reading and learning new information on.

  • Reading about Billy Beane was really interesting since I had seen Moneyball before. I think the author did a great job in explaining baseball concepts, while also narrating the story of how Beane and DePodesta used statistics to take the Oakland Athletics to the top. I enjoyed reading the article because I feel that I learned valuable information about baseball and about this manager who focused on consistency, rather than talent. Good article!

  • Nice article. Does seem that today statistics does play a more important role in analyzing players of all different sports. What the Athletics’ team did was quite extraordinary. Not only did they turn their season around, but they also invented a whole new way of looking at the game. Many very large and popular franchises followed in their wake. They were a true trend setter. Even in the NBA, for instance, one finds that the evaluation of a player is based on analytics. True shooting percentage is more important now than ever

  • Your article was very intersting and enjoyable to read. I never knew how much of an impact statistics had on baseball. It is an awesome sport to play and watch, but most people don’t really care about the statistics of the sport. The statistics in baseball have to be much more important than in other other sports. Yet, basketball and other sports do also have very important statistics that need to be taken into account. I think that the most interesting thing about this article was your use of detail.

  • Your article was very interesting to read. It had a very nice tone and rising points. It definitely is amazing the accomplishment people can get with have a very firm knowledge of a subject. This story shows that talent isn’t everything but real hard work does pay off. The power of statistical analysis really helped out this team to reach their goal.

  • This was a very interesting article. I had heard of this story before, because Moneyball is one of my favorite movies. The way that Beane was able to transform a part of baseball is a great thing to read about. The article does a great job of formatting all of the information in a way that is both fun and interesting to read.

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