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Soccer Team Vectors

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arxiv 1908.00698 v2 pith:WVUGF73A submitted 2019-07-30 cs.LG cs.AIstat.ML

Robert Müller , Stefan Langer , Fabian Ritz , Christoph Roch , Steffen Illium , Claudia Linnhoff-Popien This is my paper · ORCID
classification cs.LGcs.AIstat.ML
keywords soccersteveteamsvectorsteamlearningapproachavailable
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In this work we present STEVE - Soccer TEam VEctors, a principled approach for learning real valued vectors for soccer teams where similar teams are close to each other in the resulting vector space. STEVE only relies on freely available information about the matches teams played in the past. These vectors can serve as input to various machine learning tasks. Evaluating on the task of team market value estimation, STEVE outperforms all its competitors. Moreover, we use STEVE for similarity search and to rank soccer teams.

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