Exercising Error: Quantifying Statistical Tests Under RAPM (Part IV)

In the Regularized Adjusted Plus-Minus (RAPM) model, one of the perceived challenges is understanding the error associated with the resulting posterior RAPM value a player receives. In a previous post, we noted that RAPM is a Bayesian model in which we assume that “player contribution” can be estimated through weighted offensive ratings conditioned on the…

Warping Play Registration

Synergy: Breaking Down Field Goal Types With the creation of Synergy, the basketball world gained valuable access to previously hard-to-obtain data on all field goal events in the league. One of the biggest introductions was the “primary defender” tag on field goal events. With play-by-play data, when a player drives to the basket or attempts…

Transitioning Turnovers: Case Study of Golden State and Toronto

In Dean Oliver’s Four Factors, we are interested in effective field goal percentage, offensive rebounding percentage, free-throw rate, and turnover percentage. If a team cannot dominate a couple of these categories, then it will be unlikely for that team to win. For instance, let’s consider effective field goal percentage. The Golden State Warriors have posted a .558 eFG% while limiting their…

True 2019 NBA Lottery Odds

Every year the NBA draft lottery takes place in May and every year websites race to get up probabilities of which team has the probability to get a certain spot within the lottery. Many times, unfortunately, these sites forget about trades and instead of conveying the probabilities to the truth, the trades are instead wasted…