Actions Speak Louder than Goals: Valuing Player Actions in Soccer

被引:129
作者
Decroos, Tom [1 ]
Bransen, Lotte [2 ]
Van Haaren, Jan [2 ]
Davis, Jesse [1 ]
机构
[1] Katholieke Univ Leuven, Leuven, Belgium
[2] SciSports, Amersfoort, Netherlands
来源
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING | 2019年
关键词
sports analytics; event stream data; soccer match data; valuing actions; probabilistic classification;
D O I
10.1145/3292500.3330758
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Assessing the impact of the individual actions performed by soccer players during games is a crucial aspect of the player recruitment process. Unfortunately, most traditional metrics fall short in addressing this task as they either focus on rare actions like shots and goals alone or fail to account for the context in which the actions occurred. This paper introduces (1) a new language for describing individual player actions on the pitch and (2) a framework for valuing any type of player action based on its impact on the game outcome while accounting for the context in which the action happened. By aggregating soccer players' action values, their total offensive and defensive contributions to their team can be quantified. We show how our approach considers relevant contextual information that traditional player evaluation metrics ignore and present a number of use cases related to scouting and playing style characterization in the 2016/2017 and 2017/2018 seasons in Europe's top competitions.
引用
收藏
页码:1851 / 1861
页数:11
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