This project applied statistical inference methods to historical data of mixed martial arts (MMA) matches from the Ultimate Fighting Championship (UFC). The goal of the project was to create a model to predict the outcome of Ultimate Fighting Championship matches with the best possible accuracy. The main methods used in the project were logistic regression and Bayesian regression. The data used for said model was taken from matches between early April 2000 and mid April 2024. The predictions made by these models were compared with the predictions of various betting sites as well as with the true outcomes of the matches. The logistic regression model and the Bayesian model predicted the true outcome of the matches 60% and 70% of the time respectively, with both having comparable predictions to those of the betting sites.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-348798 |
| Date | January 2024 |
| Creators | Apelgren, Sebastian, Eklund, Christoffer |
| Publisher | KTH, Skolan för teknikvetenskap (SCI) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | TRITA-SCI-GRU ; 2024:260 |
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