As I said previously, I wanted to take a look and see which of the fancystats sites I should use going forward in the 2026-27 NHL season. The last time I looked at Pearson Correlation Coefficients to compare the R-value of different Expected Goals models with actual goals I looked at the NHL team level data and the goaltending data over the past three seasons 2023-24 through 2025-26. So this time we are going to see how they compare when looking at skaters, both individually and on-ice, and will split up up between forwards and defensemen. Modern analytics has come a long way from the early days when puck possession was the be all end all of player evaluation and now the shot quality is far more important. So we are going to look at xG from six popular sources: the two long running sites Natural Stat Trick and Evolving Hockey, my usual preference MoneyPuck, David Johnson’s Puckalytics, Patrick Bacon’s HockeyStats, and now I was asked to include BenchRates as well.
Continue reading “Unconventional Wisdom – Expected Goal Models part 2”