26 citations · 32 across the 4 of their papers we have counts for
4 papers
Modeling and Prediction of the UEFA EURO 2024 via Combined Statistical Learning Approaches
Andreas Groll, Lars M. Hvattum, Christophe Ley +3
In this work, three fundamentally different machine learning models are combined to create a new, joint model for forecasting the UEFA EURO 2024. Therefore, a generalized linear mo…
Hybrid Machine Learning Forecasts for the UEFA EURO 2020
Andreas Groll, Lars Magnus Hvattum, Christophe Ley +4
Three state-of-the-art statistical ranking methods for forecasting football matches are combined with several other predictors in a hybrid machine learning model. Namely an ability…
The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons
Hans Van Eetvelde, Lars Magnus Hvattum, Christophe Ley
The COVID-19 pandemic has left its marks in the sports world, forcing the full-stop of all sports-related activities in the first half of 2020. Football leagues were suddenly stopp…
Maximizing performance with an eye on the finances: a chance-constrained model for football transfer market decisions
Giovanni Pantuso, Lars Magnus Hvattum
Composing a team of professional players is among the most crucial decisions in association football. Nevertheless, transfer market decisions are often based on myopic objectives a…