  Sports recommender systems receive an increasing attention due to their
potential of fostering healthy living, improving personal well-being, and
increasing performances in sport. These systems support people in sports, for
example, by the recommendation of healthy and performance boosting food items,
the recommendation of training practices, talent and team recommendation, and
the recommendation of specific tactics in competitions. With applications in
the virtual world, for example, the recommendation of maps or opponents in
e-sports, these systems already transcend conventional sports scenarios where
physical presence is needed. On the basis of different working examples, we
present an overview of sports recommender systems applications and techniques.
Overall, we analyze the related state-of-the-art and discuss open research
issues.
