Improving the Characterization and Comparison of Football Players with Spatial Flow Motifs
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21131-7_45
Reference16 articles.
1. Barbosa, A., Ribeiro, P., Dutra, I.: Similarity of football players using passing sequences. In: Brefeld, U., Davis, J., Van Haaren, J., Zimmermann, A. (eds.) Machine Learning and Data Mining for Sports Analytics, pp. 51–61. Springer International Publishing, Cham (2022)
2. Bekkers, J., Dabadghao, S.: Flow motifs in soccer: what can passing behavior tell us? J. Sports Anal. 5(4), 299–311 (2019)
3. Fenner, J.S., Iga, J., Unnithan, V.: The evaluation of small-sided games as a talent identification tool in highly trained prepubertal soccer players. J. Sports Sci. 34(20), 1983–1990 (2016)
4. Gyarmati, L., Kwak, H., Rodriguez, P.: Searching for a unique style in soccer (2014). arXiv:1409.0308
5. Håland, E.M., Wiig, A.S., Hvattum, L.M., Stålhane, M.: Evaluating the effectiveness of different network flow motifs in association football. J. Quant. Anal. Sports 16, 311–323 (2020)
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