Choosing a Project

When choosing a project, members are encouraged to explore subjects they are passionate about. For those who are interested in the field but do not know specifically what they want to research, here are some ideas to use as inspiration:

  • Creating a Machine Learning model to predict the March Madness Bracket
  • Analyzing how certain tennis players perform on different court surfaces
  • Investigating the effectiveness of lineup platoons in baseball
  • Investigating the 2017 Astros sign-stealing scandal
  • Creating defensive metrics for NBA players

Past Projects

The following projects are examples of the types of projects Cornell Sports Analytics Members make each semester.

How has basketball changed during the Stephen Curry era?

By Kevin Shang (xs235), Qwahn Kent (qdk2), Niraj Jinan (nj288), Roberto Palacino (rap325)

Which players will perform the best in the 2022 Fantasy Football Playoffs?

By Peter Claro (pjc262)

How do external factors influence a baseball game?

By Josh De Leeuw (jmd496), Michael Raybetz (mar444), and Dezmon Nash (djn63)