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Beginning with the publication of Moneyball by Michael Lewis in 2003, the use of sabermetrics \u2014 the application of statistical analysis to baseball records - has exploded in major league front offices. Executives Billy Beane, Paul DePoedesta, and Theo Epstein are notable figures that have been successful in incorporating sabermetrics

Beginning with the publication of Moneyball by Michael Lewis in 2003, the use of sabermetrics \u2014 the application of statistical analysis to baseball records - has exploded in major league front offices. Executives Billy Beane, Paul DePoedesta, and Theo Epstein are notable figures that have been successful in incorporating sabermetrics to their team's philosophy, resulting in playoff appearances and championship success. The competitive market of baseball, once dominated by the collusion of owners, now promotes innovative thought to analytically develop competitive advantages. The tiered economic payrolls of Major League Baseball (MLB) has created an environment in which large-market teams are capable of "buying" championships through the acquisition of the best available talent in free agency, and small-market teams are pushed to "build" championships through the drafting and systematic farming of high-school and college level players. The use of sabermetrics promotes both models of success \u2014 buying and building \u2014 by unbiasedly determining a player's productivity. The objective of this paper is to develop a regression-based predictive model that can be used by Majors League Baseball teams to forecast the MLB career average offensive performance of college baseball players from specific conferences. The development of this model required multiple tasks: I. Data was obtained from The Baseball Cube, a baseball records database providing both College and MLB data. II. Modifications to the data were applied to adjust for year-to-year formatting, a missing variable for seasons played, the presence of missing values, and to correct league identifiers. III. Evaluation of multiple offensive productivity models capable of handling the obtained dataset and regression forecasting technique. IV. SAS software was used to create the regression models and analyze the residuals for any irregularities or normality violations. The results of this paper find that there is a relationship between Division 1 collegiate baseball conferences and average career offensive productivity in Major Leagues Baseball, with the SEC having the most accurate reflection of performance.
ContributorsBadger, Mathew Bernard (Author) / Goegan, Brian (Thesis director) / Eaton, John (Committee member) / Department of Economics (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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For this project, I analyzed both the amount of overuse injuries or repetitive stress injuries occurring in college baseball and tried to understand why they were happening so frequently. I interviewed over a dozen people to get thoughts and messages on the subject from a variety of people from current

For this project, I analyzed both the amount of overuse injuries or repetitive stress injuries occurring in college baseball and tried to understand why they were happening so frequently. I interviewed over a dozen people to get thoughts and messages on the subject from a variety of people from current college players, to Major League players, to current college coaches. While I spent the majority of the project working on the research and interviews of how these injuries effect college athletes, I always spent time speaking with journalists about the proper ways they go about reporting on injuries, especially those within college athletes. I found data that showed that the average rate of fastballs in Major League Baseball is going up and that is indirectly affecting the way in which players and specifically pitchers are learning to play as they go through college baseball. I got valuable perspective on how the game changing is affecting the injuries that are so common today. The most common occurring repetitive stress issue in baseball has been happening most with pitchers so much of the project is tailored toward the views of some of the best pitchers in college baseball. I found out how college pitchers are taking care of their bodies and using the offseason to help regain strength. Why do some pitchers not take as long an offseason as others? How intense is the pressure to stay healthy in college, as many of these athletes are pursuing professional baseball? What is the mental toll these student-athletes have on a day-to-day basis? All these questions and more are answered in the paper. Included in the long-form paper are all of the full transcripts from the interviews with players, coaches, trainers, doctors, and reporters.
ContributorsWerner, Robert Joseph (Author) / Kurland, Brett (Thesis director) / Dieffenbach, Paola (Committee member) / College of Integrative Sciences and Arts (Contributor) / Walter Cronkite School of Journalism & Mass Comm (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12