Using clustering algorithms to group players by offensive role based on Synergy play-type data.
Optimizing lineup fit based on combinations of the players’ skill sets and sizes.
Finding better strategies for offensive rebounding.
Looking at trends in shot selection using charts, interactive dashboards, and animation.
Sampling from distributions of play- and possession-outcomes to create probability-based simulations of basketball games.
Tracing the path of assists to highlight passing tendencies.
Thinking about how rest days and injuries can impact a player’s energy level and performance.
Evaluating how things like a team’s pace of play, talent distribution, and roster continuity impact the odds of postseason success.
Inferring changes in players’ confidence after sequences of made or missed shots.
Substitution patterns from play-by-play data.