What is the DIPS baseball statistic? What does it have to do with Moneyball? The DIPS baseball statistic, or defense independent pitching statistic, is a statistical measurement developed by a paralegal named Voros McCracken. The DIPS baseball statistic offers a way to measure pitching more effectively, and it was adopted by Billy Beane and the Oakland A’s.
Baseball Sabermetrics: Can Data Create a Winning Team?
What are baseball sabermetrics? Did the theory of sabermetrics work for the Oakland A’s when they implemented the strategy in Moneyball? By the 2002 season, Oakland A’s General Manager Billy Beane adopted the idea of baseball sabermetrics. Sabermetrics helped the A’s redefine their team and season, and ultimately get to the playoffs. But baseball sabermetrics were not without controversy. Read about sabermetrics’ definition and Beane’s strategy for the A’s.
How the 2002 Oakland A’s Season Changed Baseball
What did the 2002 Oakland A’s do? What made this team unique? The 2002 Oakland A’s did go to the playoffs, but that’s only part of what makes this season so interesting. The 2002 Oakland Athletics redefined how to build a strong baseball team, and introduced the idea of Sabermetrics to the mainstream baseball world.
Cliff Floyd: A Failed Trade Reveals Billy Beane’s Plans
Who is Cliff Floyd? Was Cliff Floyd a baseball player, and what role did he play in Moneyball? Cliff Floyd was a player whom Athletics GM Billy Beane tried to acquire through trades. The Cliff Floyd trade was a failure, but it shows Billy Beane’s shrewdness in acquiring players that fit his plan.
The Oakland A’s Playoff Games, 2002: Win Some, Lose Some
What happened in the Oakland A’s playoff run in 2002? Did the Oakland A’s Moneyball strategy pay off? The Oakland A’s playoffs were a chance for them to show what their team, put together by data, could do. The Oakland A’s playoffs were also a critical test for Billy Beane and Sabermetrics; with baseball insiders saying they’d never work, the playoffs were the A’s chance to prove everybody wrong.
Data Analytics in Baseball: A Game Becomes Business
Are there data analytics in baseball? What kind of baseball data do teams use to evaluate players and competition? Data analytics in baseball is a long-standing practice. However, the type of analytics in baseball is changing rapidly as baseball adjusts to the changing business. Here’s how data analytics in baseball were changed by Moneyball and sabermetrics.
Ricardo Rincon—The Relief Pitcher’s Moneyball Trade Deal
Who is Ricardo Rincon? What was his role in Moneyball? Ricardo Rincon is a reliever that A’s GM Billy Beane has been eyeing the whole season. Now, Billy Beane spots the opportunity to get Ricardo Rincon on his roster. Read about how Moneyball‘s Rincon trade relied on Sabermetrics, and Billy’s dealmaking ability.
Art Howe: A Record Season + Clashes With Billy Beane
Who was Art Howe, and what did he do in Moneyball? How did Art Howe contribute to the A’s season, and what was his relationship like with Billy Beane? Art Howe, Oakland A’s Manager, clashed with Billy Beane over the idea of sabermetrics and Beane’s over-management of the team. Art Howe was eventually hired by another ball club, but Howe’s Oakland management was both contentious and successful.
Scott Hatteberg: Moneyball’s Most Valuable Player
Who is Scott Hatteberg in Moneyball? What did Scott Hatteberg do in Moneyball, and why was he important to the Oakland A’s winning strategy? Scott Hatteberg was a Moneyball character and real-life professional baseball player. He was recruited by Billy Beane and the Oakland A’s as a part of their data-driven strategy.
Bill James Baseball Abstracts: Reimagining Stats
What are the Bill James Baseball Abstracts? How did the Bill James Baseball Abstracts change how teams looked at data? The Bill James Baseball Abstracts came from Bill James’s writings on baseball and data. James eventually published an annual baseball abstract to highlight the gaps in traditional baseball data, a publication sought after by proponents of Sabermetrics.