The Components of Offense: Turning the Lurk into a Feature

One of the challenges in data science within the NBA is diagnosis. Diagnosis is the process of collecting and dissecting data in an effort to reveal and understand the components of such data such that we can extrapolate intelligence. Within many NBA analytics circles, this is done heuristically: discussion of a question, hypothesizing new variables,…

Stochastic Tracking

In the era of tracking data, a need for a new style of analysis has emerged. Long gone are the regularized regression models and the simple counting techniques. Instead, we require leveraging shot-noise distributed systems such as Dan Cervone’s competing risks model, or Matthias Kempe’s self-organizing maps, or Peter Carr’s Imitation Learning. The list is…