  In this paper we examine the claims made by Bullock et. al. on the
applicability of black-box injury risk approaches in the sports injury domain.
Overall, we agree that transparency is necessary for Machine Learning models to
be useful in this field. However, there are areas of research that address
precisely the concerns of the authors and strongly temper their conclusions. In
the following we look at how these issues are being tackled by the Machine
Learning community.
