Abstract

The objective of this project is to predict matches at the Premier League level based on rest and scheduling. By collecting large data sets and using specific models, we can see the impact rest has within bookmakers' odds and how much rest impacts predictive match outcomes using an Elo rating system.

Advisor

Pasteur, Drew

Department

Mathematics

Disciplines

Categorical Data Analysis | Probability | Statistical Models

Publication Date

2021

Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis

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