This project analyzes existing basketball player performance metrics, and generates new metrics providing context behind player statistics. Using these metrics, we create a chart quantifying the value of each pick in the NBA Draft. Finally, we create machine learning models that predict the likelihood of NBA success for NCAA student-athletes.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Krebs, Michael James
• Scheide, Jake Connor

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-032119-101617

Advisor

• Wills, Craig E.

Year

• 2019

Date created

• 2019-03-21

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright