A brief explainer about what goes into each projection.
My projections are built using the last three seasons of each player’s career on a per-minute basis, weighted by recency using a multi-variate regression, regressed to the mean based on sample size, and age adjusted. To account for the sudden increase in scoring last season, point projections were also adjusted to last season’s goals-per-game level.
Those per-minute projections for each stat are then applied to a time-on-ice projection based on each player’s ice-time last season, adjusted for their likely place on the depth chart this season. That means that a player moving from the second line to the first line would see a bump in ice-time equal to the difference between a first and second line player. The adjustments were based on expected depth charts that were derived from conversations with a beat writer from each team.