Once of the core applications for tracking data is the ability to apply machine learning to gain insight into player tendencies. Unfortunately, due to small samples, we cannot simply measure a particular player’s track paths and say “this player tends to do x.” Instead, we must adopt methods that lift information off a player and…
In possession models and analytics such as RAPM, the ability to count free throws is crucial. Any miscalculation in computing free throws can result in an unintended dire consequence. In the case of a possession, a team’s possession may be calculated with bias and therefore comparing two teams using per possession stats becomes a flawed…
In continuation of our Markov simulation of the NBA Playoffs, we take a look at the updated probabilities for each team remaining. In this article, we take a cursory look at each second round match up and see how the first round panned out compared to the probabilistic predictions. So Far So Good: All rounds…
With the NBA Playoffs set to get underway, we take a quick look at the probabilities for each team becoming the NBA Champions. Common consensus would place any combination of the five strongest teams: Golden State – Houston – San Antonio versus Cleveland – Boston. But the question is how likely? To answer that, we…