Most games encourage the player to acquire certain skills that are necessary to play the game. In order to evaluate whether or not players are mastering these concepts, it is crucial to classify the strategies that players are trying. Furthermore, it is important to examine when and how players become confused. Ideally, when players encounter a new concept, they will struggle with it for a bit before mastering it and moving forwards. Of particular interest to designers of educational games, confusion has been shown to be an important step along the path to deep learning [4]. However, only certain types of confusion are useful for learning. Confusion due to poor game design or un intuitive elements is problematic. Since game designers may not know what patterns to look for, it can be difficult to formulate queries to examine confusion and player strategies.