website/_posts/research/2020-03-01-soccer-team-vectors.md

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layout	title	categories	excerpt	header
single	Learning Soccer-Team Vecors	research	Team market value estimation, similarity search and rankings.	teaser assets/figures/2_steve_algo.jpg

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. {% cite muller2020soccer %}

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