This work investigates the unexplored potential of data collection in educational games that utilize physical interfaces. By analyzing three educational game proposals published at the Brazilian Congress on Informatics in Education (CBIE) in 2024, we explore how interaction with these devices can generate valuable information beyond their primary educational objectives. We discuss the type of data that could be captured and its potential uses for individualized pedagogical diagnoses, identification of learning difficulties, and the early detection of signs associated with neurodevelopmental and mental health conditions.