Baseball is dying. This thesis set out to determine the best ways to go about engaging baseball fans of all age groups, and more specifically younger fans in the age range of 18-22. Through the conducting of primary research, several takeaways came to light. Engaging younger fans needs to be a priority moving forward for Major League Baseball, otherwise the sport is going to keep dying.

An examination upon the historical evolution of the quarterback reveals that there were three foundational cycles leading up to 2007 which established the model for the mobile quarterback in the NFL. These were especially marked by exceptional quarterbacks breaking molds and pioneering African American quarterbacks overcoming racial stigma. Since 2007, there has been a steady trend of mobile quarterbacks replacing pocket passers, especially among playoff teams. Using k-means clustering, three different categories of quarterbacks were established: pocket passers, scramblers, and dual-threats. After evaluating various player metrics describing quarterback mobility, using yards per game, run-to-pass ratio, scramble rate, and designed run rate on third down produced the best model. This yielded an accurate prediction of covariance and a good overall fit. Teams with dual-threat quarterbacks had more success than other quarterback types on third-and-medium for dropbacks, third-and-long for designed runs, and explosive plays (plays which gain 20+ yards) on designed runs, passes, and quarterback scrambles. An examination into the schematic tendencies using film reveals that mobile quarterbacks allow the offense to have more freedom in its play calling and reduces the margin of error for defenses. Alongside the NFL’s increased focus on the concept of positionless football, this provides the framework for what this thesis calls the “Slashback Offense,” in which the offense utilizes a young, athletic quarterback in multiple positions in conjunction with a mobile starting quarterback. This can enhance option plays, establish the threat of another passer, and reduce the physical burden on the starting quarterback.

This paper analyzes different issues within collegiate athletics. Further, it provides a roadmap for how leaders in collegiate athletics can better make decisions involving conference membership and media rights decisions that directly serve the interests of student-athletes, the athletic department, and the entire university community. Relevant literature is addressed in the literature review section regarding the financial components of college athletics and how conference realignment impacts different financial elements of the athletic department and university. Also, the literature review section focuses on how conference realignment decisions impact rivalries. The last part of the literature review focuses on a more contemporary analysis involving conference realignment and how changing some of the financial structures within college athletics would result in a more equitable and fair landscape regarding gender equity. Using data from the Knight-Newhouse College Athletics Database, financial data related to Texas A&M University, the University of Nebraska-Lincoln, and the University of Maryland-College Park were analyzed to determine how these three institutions were affected by their decisions to change conferences within the Power V. Each of these institutions athletic departments finances, including specific revenue and expense categories, were affected differently by their decision to change conferences, but this data can serve as an important indicator for how universities that are currently choosing to change conferences will be affected. Then the next portion of this paper involved primary data collection, where the sample consisted of Arizona State University Introduction to Marketing students. This survey focused on measuring the opinions of college sports fans regarding various issues and topics related to college athletics, including the role of college athletics within the university, conference realignment, the importance of rivalries, and media rights. Lastly, this paper includes an analysis and comparison of survey data from the University of California Office of the President, where UCLA student-athletes comprised the survey population. This survey focused on UCLA student-athletes’ opinions regarding UCLA’s decision to join the Big Ten conference.

Student sections at college sporting events are an integral part of the collegiate experience. They provide a heightened atmosphere and passion that professional teams can not always attract. They are an exciting social event for students to be a part of a larger community. The student section also represents a new potential market base for athletic departments. If students don't go to games, they have less of an emotional attachment when it comes to giving back to their alma mater in their peak earning years. (Dodd, 2022). Therefore, it is vital to understand the factors that influence a student’s intention to return to future games and, in recent years, the decline in student attendance. There are many variables that contribute to student attendance, so a study was developed to attempt to predict a student’s intention to return to future Arizona State University basketball games. There are multiple factors that are considered when determining the attendance such as the demographics of the student or their level of fandom. In addition, other factors such as social media use can influence a student’s intention to return. A statistical analysis was performed to determine which of these factors are most important in order to build a model to predict intention to return. An exploratory factor analysis will be used to determine which variables of the survey are correlated and measure similar factors. Then regression techniques will help analyze each independent variable to determine their importance and relevance. Through these techniques, it was found that satisfaction of stadium factors, sport club participation, on-campus housing, athlete’s social media, and total attendance positively impact attendance while importance of stadium factors, interest in fan loyalty programs, and employment status negatively impact attendance. The following report will include details of the analysis. The model that was developed will help universities narrow the potential variables that impact student attendance to assist in future research.