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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Quantifying The Trenches: Machine Learning Applied To Nfl Offensive Lineman Valuation, Sean Pyne
Quantifying The Trenches: Machine Learning Applied To Nfl Offensive Lineman Valuation, Sean Pyne
CMC Senior Theses
There are 32 teams in the National Football League all competing to be the best by creating the strongest roster possible. The problem of evaluating talent has created extreme competition between teams in the form of a rookie draft and a fiercely competitive veteran free agent market. The difficulty with player evaluation is due to the noise associated with measuring a particular player’s value. The intent of this paper is to create an algorithm for identifying the inefficiencies in pricing in these player markets. In particular, this paper focuses on the veteran free agent market for offensive linemen in the …
An Analysis Of Sports Markets: Franchise Relocation, League Expansion, And Fan Bases, Evan Opperman
An Analysis Of Sports Markets: Franchise Relocation, League Expansion, And Fan Bases, Evan Opperman
CMC Senior Theses
Through sports, cities can reach fans from all different walks of life to rally together and support a competitive cause. Each city’s fan base is distinct—with their individual personalities being reflective of the culture and environment of the home city. The intent of this paper is to study the effect of multiple on and off field factors as they relate to attendance across three major professional sports in city markets. This will determine which city markets have the strongest, or weakest, overall fan bases. Ultimately, this study will end with an educated recommendation for professional sports franchise relocation or a …