Graph-based Approaches for Analyzing Team Interaction on the Example of Soccer
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
We present a graph-based approach to analyzing player interaction
in team sports. A simple pass-based representation is presented
that is subsequently used together with the PageRank algorithm to identify the importance of the players. Aggregating player scores to team values allows for turning our approach into a predictor of the winning team. We report on empirical results on five German Bundesliga seasons.
in team sports. A simple pass-based representation is presented
that is subsequently used together with the PageRank algorithm to identify the importance of the players. Aggregating player scores to team values allows for turning our approach into a predictor of the winning team. We report on empirical results on five German Bundesliga seasons.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2th Workshop on Machine Learning and Data Mining for Sports Analytics - MLSA 2015 |
| Editors | Jesse Davis, Jan Van Haaren |
| Number of pages | 8 |
| Place of Publication | Achen |
| Publisher | Sun Site Central Europe (RWTH Aachen University) |
| Publication date | 2015 |
| Pages | 10-17 |
| Publication status | Published - 2015 |
| Externally published | Yes |
| Event | European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML/PKDD 2015 - Porto, Germany Duration: 07.09.2015 → 11.09.2015 http://www.ecmlpkdd2018.org/ http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=40580©ownerid=30660 |
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