Full metadata
Title
A Player-Based Approach to Predicting March Madness Tournament Outcomes
Description
In the U.S., the annual NCAA college basketball tournament, known as March Madness, draws in millions of people trying to predict who will win. Just one problem: no one has ever created a perfect bracket. By using a player-based rating system that updates throughout the season, a “predictive model” can be created to accurately predict teams with the best shot of winning the championship, and even show which players had the most impact on a single team in college basketball.
Date Created
2023-05
Contributors
- Kearney, Matthew (Author)
- Schneider, Laurence (Thesis director)
- McIntosh, Daniel (Committee member)
- Barrett, The Honors College (Contributor)
- School of Mathematical and Statistical Sciences (Contributor)
Topical Subject
Resource Type
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Series
Academic Year 2022-2023
Handle
https://hdl.handle.net/2286/R.2.N.183807
System Created
- 2023-03-17 04:17:08
System Modified
- 2023-03-17 05:44:37
- 1 year 8 months ago
Additional Formats