Browsing by Subject "basketball"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Madness in the NCAA
    (2018-03-30) Marshall, Jeffrey
  • Thumbnail Image
    Item
    Shooting for Success: an Analysis of Predictive Basketball Analytics
    (2023-05) Geelhoed, Devin
    Basketball has changed greatly over recent years, thanks to the data-driven revolution in the way the game is played. Models to predict player and team performance are increasingly popular for team personnel to focus on what they are most successful at, for analysts to break down where advantages and disadvantages are had for different players or teams, and for viewers to create their own opinions on the players or teams they want to succeed or fail and inform betting decisions. This thesis seeks to define where current predictive analytics are lacking with a multimodal examination of three ways we analyze the game: equation-based prediction, machine learning prediction, and human prediction. The thesis focuses on each of these three methods of forecasting in turn, noting their strengths and weaknesses. Additionally, with equation-based prediction, the thesis provides an example model of Expected Points to project the outcome of a certain shot from a certain player. Lastly, the thesis focuses on future developments in predictive analytics and the ways they are shaping the basketball viewing experience.