There are many statistics available to evaluate player quality. From Wins Above Replacement, to Expected Goal Differentials to Corsi, these statistics focus on determining how much a player is worth to a team and evaluating the level at which they contribute. However, there do not appear to be statistics measuring how these players contribute. This … Continue reading Player Archetypes: Using Clustering to Define Skater Types →