Loading...
Journal Title
Readers/Advisors
Abdul-Quader, Athar
Journal Title
Term and Year
Spring 2023
Publication Date
2023
Book Title
Publication Volume
Publication Issue
Publication Begin
Publication End
Number of pages
Collections
Files
6462_Muhammed_Hanan.pdf
Adobe PDF, 288.41 KB
- Embargoed until 2028-05-09
Research Projects
Organizational Units
Journal Issue
Abstract
This paper looks to see if specific soccer statistics can accurately predict the results of future matches. This research shows what soccer statistics or prediction methods are the most reliable in predicting future soccer matches. The methods used in this research involve using three different models, model one uses home and away statistics, model two uses expected goals, and model three uses machine learning. The research concluded that machine learning is the most accurate in predicting the results of future soccer matches. Along with this, the paper touches on the history and future of soccer analytics, the collection and use of soccer data, and the limitations of statistics.
Citation
DOI
Description
Accessibility Statement
Purchase College - State University of New York (PC) is committed to ensuring that people with disabilities have an opportunity equal to that of their nondisabled peers to participate in the College’s programs, benefits, and services, including those delivered through electronic and information technology. If you encounter an access barrier with a specific item and have a remediation request, please contact lib.ir@purchase.edu.