Merlin, M, Pinto, A, Moura, F. A., da Silva Torres, R. & Cunha, S. A. (2024). Who are the best passing players in professional soccer? A machine learning approach for classifying passes with different levels of difficulty and discriminating the best passing players. PLOS ONE, 19 (5), e0304139. Zugriff am 22.06.2024 unter https://doi.org/10.1371/journal.pone.0304139
APA-Zitierstil (7. Ausg.)Merlin, M., Pinto, A., Moura, F. A., da Silva Torres, R., & Cunha, S. A. (2024). Who are the best passing players in professional soccer? A machine learning approach for classifying passes with different levels of difficulty and discriminating the best passing players. PLOS ONE, 19(5), e0304139.
Chicago-Zitierstil (17. Ausg.)Merlin, M., A. Pinto, F. A. Moura, R. da Silva Torres, und S. A. Cunha. "Who Are the Best Passing Players in Professional Soccer? A Machine Learning Approach for Classifying Passes with Different Levels of Difficulty and Discriminating the Best Passing Players." PLOS ONE 19, no. 5 (2024): e0304139.
MLA-Zitierstil (9. Ausg.)Merlin, M., et al. "Who Are the Best Passing Players in Professional Soccer? A Machine Learning Approach for Classifying Passes with Different Levels of Difficulty and Discriminating the Best Passing Players." PLOS ONE, vol. 19, no. 5, 2024, p. e0304139.