Quantitative methods for sports prediction and their relation to gambling harm

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Lunch will be provided 

Abstract: Quantitative methods (such as AI, machine learning, and statistical models) are paramount to the sports betting industry. They are used by bookmakers to formulate odds, by sports integrity services to detect match fixing, and by professional gamblers to amass large fortunes. But despite the size of the gambling industry, very few people are aware of the techniques used by those who are making most of the money. In this seminar, I will provide an overview of sports prediction and the models that are used. I will also discuss my own research, including my findings from replicating a recent model that uses Wikipedia page views as source of crowd-wisdom. Whilst doing so, I will discuss how my research relates to gambling harms.

Speaker: Lawrence is studying a Computer Science PhD at the University of Bristol, specializing in the prediction of sport event outcomes using quantitative methods (AI, machine learning, and statistics).

Please note, this is an in-person only event.  There will not be an option to join online.

Lawrence Clegg, PhD Student a the School of Computer Science, University of Bristol