Schuth, G, Szigeti, G, Dobreff, G, Pašic, A, Gabbett, T, Szilas, A & Pavlik, G. (2024). Football movement profile-based creatine-kinase prediction performs similarly to global positioning system-derived machine learning models in national-team soccer players. International Journal of Sports Physiology and Performance, 19 (9), 874-881. Zugriff am 12.07.2024 unter https://doi.org/10.1123/ijspp.2024-0077
APA-Zitierstil (7. Ausg.)Schuth, G., Szigeti, G., Dobreff, G., Pašic, A., Gabbett, T., Szilas, A., & Pavlik, G. (2024). Football movement profile-based creatine-kinase prediction performs similarly to global positioning system-derived machine learning models in national-team soccer players. International Journal of Sports Physiology and Performance, 19(9), 874-881.
Chicago-Zitierstil (17. Ausg.)Schuth, G., G. Szigeti, G. Dobreff, A. Pašic, T. Gabbett, A. Szilas, und G. Pavlik. "Football Movement Profile-based Creatine-kinase Prediction Performs Similarly to Global Positioning System-derived Machine Learning Models in National-team Soccer Players." International Journal of Sports Physiology and Performance 19, no. 9 (2024): 874-881.
MLA-Zitierstil (9. Ausg.)Schuth, G., et al. "Football Movement Profile-based Creatine-kinase Prediction Performs Similarly to Global Positioning System-derived Machine Learning Models in National-team Soccer Players." International Journal of Sports Physiology and Performance, vol. 19, no. 9, 2024, pp. 874-881.