Advanced Computational Ratings for College Football Teams
| dc.contributor.author | Hensley, Joel Michael | |
| dc.date.accessioned | 2024-03-04T20:19:35Z | |
| dc.date.available | 2024-03-04T20:19:35Z | |
| dc.date.issued | 2010 | |
| dc.description.abstract | This paper explores the subject of rating systems applied to the world of college football. Current rating system methodologies are examined, and four rating systems are developed and evaluated in a program. The Hensley Rating system is introduced as a new method. The details of each of these systems are discussed, and the results are analyzed and evaluated using data from the college football seasons of 2000 - 2009. | en_US |
| dc.identifier.uri | https://hdl.handle.net/10365/33706 | |
| dc.publisher | North Dakota State University | en_US |
| dc.rights | NDSU policy 190.6.2 | en_US |
| dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | en_US |
| dc.subject.lcsh | Football teams -- Statistics. | en_US |
| dc.subject.lcsh | College sports -- Statistics. | en_US |
| dc.subject.lcsh | Computational complexity. | en_US |
| dc.title | Advanced Computational Ratings for College Football Teams | en_US |
| dc.type | Master's Paper | en_US |
| ndsu.advisor | Nygard, Kendall | |
| ndsu.college | Engineering | en_US |
| ndsu.degree | Master of Science (MS) | en_US |
| ndsu.department | Computer Science | en_US |
| ndsu.program | Computer Science | en_US |
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