A look at how regression in shot-making and shot quality is likely to push teams up or down the standings as the season goes on.
MORE ANDREW JOHNSON - Page 1 of 3
Who would projections of incoming NBA rookies change if we incorporated their draft slot as a variable accounting for what teams know that we don't?
Examining the importance of age in a college prospect by looking into the descriptive statistics of how college players perform at different ages.
How does missing an entire rookie season, as Harry Giles and Markelle Fultz appear likely to do, affect a young player's development?
We don’t need just-so theories about why big men struggle at the free throw line or other skill areas. It’s plausibly an NBA Draft selection process issue,
It's still early in the season. Looking at outliers in the Four Factors can help identify teams that are headed for regression or progression.
How does data from rookie seasons, combined with pre-draft projections, change our outlook on Jamal Murray, Joel Embiid and the 2016 draft class.
Injury risk is hard to assess because of private medical data and imprecise diagnosis. But who would have the biggest impact if they suffered injuries?
Andrew Johnson shares his Highly Plausible Win Projections for the 2017-18 NBA season, with big surprises in both conferences.
Using player clustering and other individual player metrics to build projections for the best NBA offenses for next season.
Danny Ainge and the Celtics traded down to the No. 3 pick. What are they odds that they find a player there who wins up better than Markelle Fultz?
The 2017 NBA Draft class is loaded with elite talent. But how do some of the top prospects project as NBA 3-point shooters?
Exploring the relationship between skill and height and why the selective process of the NBA skews our understanding of the two.
Since the All-Star Break, whenever Isaiah Thomas has gone to the bench, the Boston Celtics' offense has been an absolute tire-fire.
We know both shooting and shot-creation are valuable offensive skills. But given the variance in each skill, which is more valuable?
A quick look at the NBA's hustle stats, converting total deflections into per 40 minute numbers to get a sense of the biggest defensive pests.
Final player numbers from the 2015-16 NBA season for Andrew Johnson's Player Tracking Plus-Minus individual player metric.
Examining how the predictive ability of our offensive metrics compares with the predictive ability of defense metrics? Spoiler: defense is messy.
Modeling how much we can expect each NBA free agent to receive on the open market this summer.
Andrew Johnson examines numerical & scouting-informed draft models to consider who the Boston Celtics should select with the 3rd pick in the 2016 NBA Draft.