Improving The Evaluation of Defensive Player Values with Advanced Machine Learning Techniques

Author:

Zaręba Michał1,Piłka Tomasz1,Górecki Tomasz1,Grzelak Bartłomiej2,Dyczkowski Krzysztof1

Affiliation:

1. Adam Mickiewicz University, Poland

2. Adam Mickiewicz University & KKS Lech Poznań, Poland

Publisher

University of Gdańsk

Reference17 articles.

1. 1. Chen, T., Guestrin, C.: XGBoost: A scalable tree boosting system. In: Proceedings of the KDD (2016)

2. 2. Chollet, F. et al.: Keras. https://keras.io (2015)

3. 3. Decroos, T., Bransen, L., Van Haaren, J., Davis, J.: Actions speak louder than goals: valuing player actions in soccer. In: Proceedings of the KDD (2019)

4. 4. Grinsztajn, L., Oyallon, E., Varoquaux, G.: Why do tree-based models still outperform deep learning on typical tabular data? In: Proceedings of the NeurIPS (2022)

5. Tactical pattern recognition in soccer games by means of special self-organizing maps;Grunz;Human Movement Science,2012

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