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Department of Information Technology

Models valuing actions in football

A key model in evaluating football players is called expected threat. It is a machine learning method, where the value of an action – a pass, a dribble etc. – on the field is assigned a value based on how much it increases the probability of scoring.

In this project, the students will work with company Twelve football to develop a general tool for fitting expected threat models. They will work with data from professional football — both men and women's leagues — and implement regression methods. The students should be willing to learn how to use Streamlit as a tool for producing an interactive ML platform. They will be supervised and work within Twelve football and can, if they want sit at their offices at Snickeriet in Stockholm.

Updated  2022-09-11 15:59:14 by Maya Neytcheva.