Search Results - Pašic, A.
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Football movement profile-based creatine-kinase prediction performs similarly to global positioning system-derived machine learning models in national-team soccer players
Schuth, G., Szigeti, G., Dobreff, G., Pašic, A., Gabbett, T., Szilas, A., Pavlik, G.Published in International Journal of Sports Physiology and Performance (2024)“…Pašic, A.…”
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Individual-specific relationship between external training and match load and creatine-kinase response in youth national team soccer players
Schuth, G., Szigeti, G., Dobreff, G., Pasic, A., Gabbett, T., Szilas, A., Pavlik, G.Published in Sports Health: A Multidisciplinary Approach (2023)“…Pasic, A.…”
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Physical performance optimization in football
Dobreff, G., Revisnyei, P., Schuth, G., Szigeti, G., Toka, L., Pašic, A.Published in Machine Learning and Data Mining for Sports Analytics (2020)“…Pašic, A.…”
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Low-cost optical tracking of soccer players
Csanalosi, G., Dobreff, G., Pasic, A., Molnar, M., Toka, L.Published in Machine Learning and Data Mining for Sports Analytics (2020)“…Pasic, A.…”
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soccer
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