Machine learning methods in sport injury prediction and prevention: a systematic review H Van Eetvelde, LD Mendonça, C Ley, R Seil, T Tischer Journal of experimental orthopaedics 8, 1-15, 2021 | 139 | 2021 |
A hybrid random forest to predict soccer matches in international tournaments A Groll, C Ley, G Schauberger, H Van Eetvelde Journal of quantitative analysis in sports 15 (4), 271-287, 2019 | 74* | 2019 |
Ranking soccer teams on the basis of their current strength: A comparison of maximum likelihood approaches C Ley, TV Wiele, HV Eetvelde Statistical Modelling 19 (1), 55-73, 2019 | 64 | 2019 |
Ranking methods in soccer H Van Eetvelde, C Ley Wiley StatsRef: Statistics Reference Online, 2019 | 22 | 2019 |
Hybrid machine learning forecasts for the FIFA Women's World Cup 2019 A Groll, C Ley, G Schauberger, H Van Eetvelde, A Zeileis arXiv preprint arXiv:1906.01131, 2019 | 11 | 2019 |
The Probabilistic Final Standing Calculator: a fair stochastic tool to handle abruptly stopped football seasons H Van Eetvelde, LM Hvattum, C Ley AStA Advances in Statistical Analysis, 2021 | 10 | 2021 |
Hybrid machine learning forecasts for the UEFA EURO 2020 A Groll, LM Hvattum, C Ley, F Popp, G Schauberger, H Van Eetvelde, ... arXiv preprint arXiv:2106.05799, 2021 | 8 | 2021 |
Evaluating one-shot tournament predictions CT Ekstrøm, H Van Eetvelde, C Ley, U Brefeld Journal of Sports Analytics 7 (1), 37-46, 2021 | 6 | 2021 |
Ranking and Prediction Models for Football Data A Groll, G Schauberger, H Van Eetvelde Science Meets Sports: When Statistics Are More than Numbers, 2020 | 4 | 2020 |
Data-Based Ranking and Prediction in Football H Van Eetvelde Ghent University, 2023 | | 2023 |