Research
Projects
Big Data analytics in Sports (BDSports). Scientific coordinators of the project: Marica Manisera and Paola Zuccolotto.
Publications
T. Willems, E. Goetghebeur, D. Theisen, L. Malisoux and C. Ley (2020) Can motion control shoes reduce the risk of pronation-related pathologies in recreational runners? Journal of Orthopaedic & Sports Physical Therapy, in press
C.T. Ekstrom, H. Van Eetvelde, C. Ley and U. Brefeld (2020) Evaluating one-shot tournament predictions, Journal of Sports Analytics, in press
T. Tischer, B. Grimm, M. W. Hoppe, J. Freiwald, L. Weisskopf and C. Ley (2020) Bedeutung neuer Technologien in der Prävention, In Primärprävention von Sportverletzungen und -schäden, R. Seil and T. Tischer (eds.), VOPELIUS Jena, ISBN: 978-3-947303-22-9, 141--150 (2020)
Groll, A., C. Ley, H. Van Eetvelde and G. Schauberger (2019): A hybrid random forest to predict soccer matches in international tournaments, Journal of Quantitative Analysis in Sports, 15(4): 271-287.
Groll, A., Manisera, M., Schauberger, G., & Zuccolotto, P. (2019). Guest Editorial ‘Statistical Modelling for Sports Analytics’.
Groll, A., C. Ley, G. Schauberger, H. Van Eetvelde and A. Zeileis (2019): Hybrid Machine Learning Forecasts for the FIFA Women’s World Cup 2019, arXiv preprint arXiv:1906.01131.