A Statistical Model to Predict the 2018-19 NHL Season
Last year around this time, I wrote about Player Overall Value , a stat I derived to try and estimate the value an individual hockey player adds to his team. This was based upon a number of stats that you would generally find on a box score, and regressions to determine how much each of these contributed to winning games. Then, I used this to run a projection for the 2017-18 season , which you can read about there (shoutout Vegas for messing things up). This year, forget everything you read about that. I am only partially kidding. This year, I wanted to take a different look at things, primarily to add a different dimension to the projection. That added dimension took the form of point projections for each individual skater that I expect to form the normal lineup for each team in the NHL. To get these, two different methods were taken, one to project goals and one to project assists. Goals To determine how many goals each player was expected to score, I took a loo...