Player vectors: Characterizing soccer players' playing style from match event streams

T Decroos, J Davis - Machine Learning and Knowledge Discovery in …, 2020 - Springer
Transfer fees for soccer players are at an all-time high. To make the most of their budget,
soccer clubs need to understand the type of players they have and the type of players that …

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

T Decroos, J Davis - tomdecroos.github.io
Transfer fees for soccer players are at an all-time high. To make the most of their budget,
soccer clubs need to understand the type of players they have and the type of players that …

[PDF][PDF] Characterizing Soccer Players' Playing Style from Match Event Streams

A Geerts, T Decroos, J Davis - dtai.cs.kuleuven.be
Transfer fees for soccer players are at an all-time high. To make the most of their budget,
soccer clubs need to understand the type of players they have and the type of players that …

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

T Decroos, J Davis - lirias.kuleuven.be
Transfer fees for soccer players are at an all-time high. To make the most of their budget,
soccer clubs need to understand the type of players they have and the type of players that …

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

T Decroos, J Davis - ecmlpkdd2019.org
Transfer fees for soccer players are at an all-time high. To make the most of their budget,
soccer clubs need to understand the type of players they have and the type of players that …

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

T Decroos, J Davis - ecmlpkdd2019.org
Transfer fees for soccer players are at an all-time high. To make the most of their budget,
soccer clubs need to understand the type of players they have and the type of players that …

[引用][C] Player Vectors: Characterizing Soccer Players' Playing Style from Match Event Streams

T Decroos, J Davis - Machine Learning and Knowledge Discovery in …, 2020 - cir.nii.ac.jp
Player Vectors: Characterizing Soccer Players’ Playing Style from Match Event Streams |
CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォーム …

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

T Decroos, J Davis - Joint European Conference on Machine Learning …, 2019 - dl.acm.org
Transfer fees for soccer players are at an all-time high. To make the most of their budget,
soccer clubs need to understand the type of players they have and the type of players that …

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

T Decroos, J Davis - lirias.kuleuven.be
Transfer fees for soccer players are at an all-time high. To make the most of their budget,
soccer clubs need to understand the type of players they have and the type of players that …