One can easily tell about an ongoing squash game whether it is played as a leisure activity or a tournament is going on. Although it seems trivial by the look of it, it is hard to quantify the differences between the two ways of playing squash. In this paper we present our preliminary findings on squash analytics that we performed on large-scale data obtained from a smart squash court. Our results show that indeed one can distinguish leisure and competitive squash based on the positions and speed of the players, the location of front-wall ball impacts, etc. In this paper we present our data collection framework, the applied data analytics methodology and our results.