Is it possible to predict the motivation of players just by observing their gameplay data? Even if so, how should we measure motivation in the first place? In a collaboration with Ubisoft, a large dataset of gameplay data from players of the game Tom Clancy's The Division and their self-reported levels of competence, autonomy, relatedness and presence (via the Ubisoft Perceived Experience Questionnaire) are used as inputs and outputs respectively to a number of machine-learning models. Results show that it is possible to predict players' motivation factors from gameplay statistics alone with high accuracy.