This paper proposes and compares a set of models of college football team rosters for teams in major conferences during the years of 2018-2019. A cluster analysis was performed to classify groups of teams, using the number of scholarship players at various position groups, the class years of those players, other physical attributes such as height and weight, as well as the players’ recruiting rankings on www.247sports.com. Once the clusters were determined, we examinedthe clusters for a relationship between the clusters and team
Despite the financial and cultural importance of intercollegiate athletics in the United States, the...
The main topic of this independent study is to find ways to predict NCAA Division 1 FBS football All...
This paper uses machine learning and data mining techniques to explore most of the performance measu...
This paper proposes and compares a set of models of college football team performance for teams in m...
This study explored the retention of football players among the Power Five conference universities b...
A critical yet understudied element in recruiting success is understanding an athletic program’s str...
There is a substantial and highly significant correlation between the performance of widely followed...
This research uses a linear regression model to investigate the relationship between prospective NFL...
This study focuses on NFL teams that have made the NFL playoffs following the 2007-2011 seasons. The...
This is the publisher's version, also available electronically from http://www.degruyter.com.The pur...
This study seeks to answer if academic clustering occurs in the SEC and if race and field value are ...
As NCAA Division I coaches feel greater pressure to produce winning teams while ensuring that athlet...
In this article, we analyse the impact of school, head coach and conference characteristics on a col...
How important is recruiting to a football program’s success? While prior research has attempted to a...
College football programs devote an enormous amount of resources in efforts to persuade high school ...
Despite the financial and cultural importance of intercollegiate athletics in the United States, the...
The main topic of this independent study is to find ways to predict NCAA Division 1 FBS football All...
This paper uses machine learning and data mining techniques to explore most of the performance measu...
This paper proposes and compares a set of models of college football team performance for teams in m...
This study explored the retention of football players among the Power Five conference universities b...
A critical yet understudied element in recruiting success is understanding an athletic program’s str...
There is a substantial and highly significant correlation between the performance of widely followed...
This research uses a linear regression model to investigate the relationship between prospective NFL...
This study focuses on NFL teams that have made the NFL playoffs following the 2007-2011 seasons. The...
This is the publisher's version, also available electronically from http://www.degruyter.com.The pur...
This study seeks to answer if academic clustering occurs in the SEC and if race and field value are ...
As NCAA Division I coaches feel greater pressure to produce winning teams while ensuring that athlet...
In this article, we analyse the impact of school, head coach and conference characteristics on a col...
How important is recruiting to a football program’s success? While prior research has attempted to a...
College football programs devote an enormous amount of resources in efforts to persuade high school ...
Despite the financial and cultural importance of intercollegiate athletics in the United States, the...
The main topic of this independent study is to find ways to predict NCAA Division 1 FBS football All...
This paper uses machine learning and data mining techniques to explore most of the performance measu...