DVS Edition Citation

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 (7th ed.) Citation

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 Style (17th ed.) Citation

Merlin, M., A. Pinto, F. A. Moura, R. da Silva Torres, and 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 (9th ed.) Citation

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.