Player Vectors: Characterizing Soccer Players' Playing Style from Match Event Streams

Tom Decroos, Jesse Davis. Player Vectors: Characterizing Soccer Players' Playing Style from Match Event Streams. In Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III. Volume 11908 of Lecture Notes in Computer Science, pages 569-584, Springer, 2019. [doi]

@inproceedings{DecroosD19,
  title = {Player Vectors: Characterizing Soccer Players' Playing Style from Match Event Streams},
  author = {Tom Decroos and Jesse Davis},
  year = {2019},
  doi = {10.1007/978-3-030-46133-1_34},
  url = {https://doi.org/10.1007/978-3-030-46133-1_34},
  researchr = {https://researchr.org/publication/DecroosD19},
  cites = {0},
  citedby = {0},
  pages = {569-584},
  booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III},
  editor = {Ulf Brefeld and Élisa Fromont and Andreas Hotho and Arno J. Knobbe and Marloes H. Maathuis and Céline Robardet},
  volume = {11908},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-46133-1},
}