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

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