In this research paper, the discussion is targeted towards understanding the statistical analyses associated with the determining of draft pick success in the National Basketball Association. The three methodologies in question are Player Efficiency Rating and standard statistical categories, Roland Beech’s Rating System, and Win Shares. Through the discussion of these three separate methods, the research aims to give a holistic assessment of which study is the most likely to predict a player’s success post-draft. Through the paper, the ideas presented before, during, and after research are discussed with an emphasis on educating the reader on the field of predictive analytics and the role it plays in sports business. In its conclusion, the...
This paper demonstrates the ranking of players for fantasy basketball using one of the platforms of ...
New data is available for college basketball since 2009-10. However, when adding interactions, there...
In the National Football League (NFL), teams with the worst record in the previous season are given ...
In this research paper, the discussion is targeted towards understanding the statistical analyses as...
In this paper, we present a machine learning based approach to projecting the success of National Ba...
This paper investigates how well the NBA (National Basketball Association) does at drafting talent t...
Thesis advisor: Richard McGowanCan statistical analysis of professional basketball players lead to a...
This paper examines whether teams with winning records that employ analytic decision makers see a hi...
129 pages. A thesis presented to the Lundquist College of Business and the Clark Honors College of t...
For NBA organizations, it can be argued that success is measured in terms of wins and championships....
Even with the recent influx of available data with regards to draft-eligible players and NBA teams i...
The National Basketball Association (NBA) is a multi-million dollar industry in the United States. S...
Many NCAA teams take many traditional approaches to recruiting collegiate basketball prospects, i.e....
abstract: The NBA Draft has become one of the most exciting and unique events in sports. Draft decis...
In this thesis, we will look to predict the performance of a basketball player coming into the NBA d...
This paper demonstrates the ranking of players for fantasy basketball using one of the platforms of ...
New data is available for college basketball since 2009-10. However, when adding interactions, there...
In the National Football League (NFL), teams with the worst record in the previous season are given ...
In this research paper, the discussion is targeted towards understanding the statistical analyses as...
In this paper, we present a machine learning based approach to projecting the success of National Ba...
This paper investigates how well the NBA (National Basketball Association) does at drafting talent t...
Thesis advisor: Richard McGowanCan statistical analysis of professional basketball players lead to a...
This paper examines whether teams with winning records that employ analytic decision makers see a hi...
129 pages. A thesis presented to the Lundquist College of Business and the Clark Honors College of t...
For NBA organizations, it can be argued that success is measured in terms of wins and championships....
Even with the recent influx of available data with regards to draft-eligible players and NBA teams i...
The National Basketball Association (NBA) is a multi-million dollar industry in the United States. S...
Many NCAA teams take many traditional approaches to recruiting collegiate basketball prospects, i.e....
abstract: The NBA Draft has become one of the most exciting and unique events in sports. Draft decis...
In this thesis, we will look to predict the performance of a basketball player coming into the NBA d...
This paper demonstrates the ranking of players for fantasy basketball using one of the platforms of ...
New data is available for college basketball since 2009-10. However, when adding interactions, there...
In the National Football League (NFL), teams with the worst record in the previous season are given ...