de Sá-Freire, L. M. & Vaz-de-Melo, P. O. S. (2024). Field depth matters: Comparing the valuation of passes in football. In U. Brefeld, J. Davis, J. Van Haaren & A. Zimmermann (Hrsg.), Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science (Communications in Computer and Information Science, 2035, S. 64-73). Cham: Springer.
APA (7th ed.) Citationde Sá-Freire, L. M., & Vaz-de-Melo, P. O. S. (2024). Field depth matters: Comparing the valuation of passes in football. Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science, 64-73.
Chicago Style (17th ed.) Citationde Sá-Freire, L. M., and P. O. S. Vaz-de-Melo. "Field Depth Matters: Comparing the Valuation of Passes in Football." Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science 2024: 64-73.
MLA (9th ed.) Citationde Sá-Freire, L. M., and P. O. S. Vaz-de-Melo. "Field Depth Matters: Comparing the Valuation of Passes in Football." Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science, 2024, pp. 64-73.