Individual Offensive Efficiency Ratings Extracted from Play-by-Play Data
I’m unsatisfied with the usefulness of individual efficiency ratings that estimate the offensive and defensive impact of a player on a lineup’s efficiency by simply controlling for the strength of teammates and opponents. This is because these ratings don’t really give any insight into what the individual players are actually doing. These ratings are simply […]
Is One Lineup Better Than Another?
One part of Wayne Winston’s new book Mathletics that I didn’t really like was the way he compared raw lineup data to determine if one lineup is better than another. After thinking about it more, I think the real reason I don’t like his method is because he compares the lineups’ net points per minute […]
A Basic Hierarchical Model of Efficiency
In my last post on retrodicting team efficiency, I set a general baseline that can be used help determine if a new model of team efficiency makes better predictions than a naive model. This is important, as we want to know if added model complexity is worth the hassle. This post will present a basic […]
Retrodicting Team Efficiency
Regardless of the many models we may examine, we are ultimately looking to predict team efficiency. To move in this direction, we have to know how well the most basic methods predict team efficiency in order to determine if more complex methods are actually better than a simpler model. Retrodiction versus Prediction To best assess […]
Predicting Team Rebounding Rates
As we saw in my post on ranking net efficiency ratings, we don’t gain a lot of information by ranking NBA efficiency ratings at the team level. In other words, finding each team’s rating does not affect their overall ranking very much. The same holds true for offensive and defensive rebounding rates, and I suspect […]