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- All Subjects: Baseball
- Creators: Department of Information Systems
- Creators: Department of Marketing
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Member of: Theses and Dissertations
In recent years, advanced metrics have dominated the game of Major League Baseball. One such metric, the Pythagorean Win-Loss Formula, is commonly used by fans, reporters, analysts and teams alike to use a team’s runs scored and runs allowed to estimate their expected winning percentage. However, this method is not perfect, and shows notable room for improvement. One such area that could be improved is its ability to be affected drastically by a single blowout game, a game in which one team significantly outscores their opponent.<br/>We hypothesize that meaningless runs scored in blowouts are harming the predictive power of Pythagorean Win-Loss and similar win expectancy statistics such as the Linear Formula for Baseball and BaseRuns. We developed a win probability-based cutoff approach that tallied the score of each game once a certain win probability threshold was passed, effectively removing those meaningless runs from a team’s season-long runs scored and runs allowed totals. These truncated totals were then inserted into the Pythagorean Win-Loss and Linear Formulas and tested against the base models.<br/>The preliminary results show that, while certain runs are more meaningful than others depending on the situation in which they are scored, the base models more accurately predicted future record than our truncated versions. For now, there is not enough evidence to either confirm or reject our hypothesis. In this paper, we suggest several potential improvement strategies for the results.<br/>At the end, we address how these results speak to the importance of responsibility and restraint when using advanced statistics within reporting.
To see what will influence people who aren’t fans of the Arizona Diamondbacks to start attending games, data was collected from students attending Arizona State University and they were categorized into different clusters based on their fan status. These clusters were analyzed based on the different levels of fandom each student identified as. The analysis found that students who aren’t sports fans are disinterested in purchasing the Student Pass to attend Diamondbacks games. Including Student Pass bundles with either a t-shirt, food credit voucher, or collectible/bobblehead will not influence their decision to attend Arizona Diamondbacks games. Implications of this study provide the next possible steps for the Arizona Diamondbacks and other MLB teams to use alternative measures that could potentially influence non-fans to attend games in hopes of them becoming a fan.
With hopes of increasing attendance rates through college students, a survey was created to target students at Arizona State University to determine how aware students are of the D-Backs Student Pass; and to offer a solution of how to increase attendance by penetrating Generation Z. The results from this study are intended to identify the different fan types at Arizona State University. A summary of key findings says:
1. Including ticket bundles as options for the Student Pass will not influence non-sports or Diamondbacks fans to attend games
2. Diehard Devin are willing to spend more on ticket bundles than the other fan groups that attend Diamondbacks games
3. The most popular ticket option is a $2 ticket to a Friday game