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.
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Details
Title
- A Player-Based Approach to Predicting March Madness Tournament Outcomes
Contributors
- Kearney, Matthew (Author)
- Schneider, Laurence (Thesis director)
- McIntosh, Daniel (Committee member)
- Barrett, The Honors College (Contributor)
- School of Mathematical and Statistical Sciences (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2023-05
Resource Type
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