Learning and Data Mining for Sports

This document contains the papers presented at MLSA13, the first workshop on Machine Learning and Data Mining for Sports Analytics, organized at ECML/PKDD 2013, held in Prague. The application of analytic techniques is rapidly gaining trac-tion in both professional and amateur sports circles. The majority of techniques used in the field so far are statistical. While there has been some interest in the Machine Learning and Data Mining community, it has been somewhat muted so far. The goal of this workshop has therefore been two-fold. The first is to raise aware-ness about this emerging application area. The second is to bring members of the sport analytics community into contact with typical ECML/PKDD contributors, and to highlight what the community has done and can do in the field