TY - CHAP

T1 - Graph-based Approaches for Analyzing Team Interaction on the Example of Soccer

AU - Brandt, Markus

AU - Brefeld, Ulf

PY - 2015

Y1 - 2015

N2 - We present a graph-based approach to analyzing player interactionin team sports. A simple pass-based representation is presentedthat 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.

AB - We present a graph-based approach to analyzing player interactionin team sports. A simple pass-based representation is presentedthat 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.

KW - Informatics

KW - Business informatics

UR - http://www.scopus.com/inward/record.url?scp=85034998605&partnerID=8YFLogxK

M3 - Article in conference proceedings

T3 - CEUR Workshop Proceedings

SP - 10

EP - 17

BT - Proceedings of the 2th Workshop on Machine Learning and Data Mining for Sports Analytics - MLSA 2015

A2 - Davis, Jesse

A2 - Haaren, Jan Van

PB - Sun Site Central Europe (RWTH Aachen University)

CY - Achen

T2 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML/PKDD 2015

Y2 - 7 September 2015 through 11 September 2015

ER -