Earlier this summer, I broke down the NHL’s top 10 breakout candidates and top 10 regression candidates for the 2019-20 season, which led to some great discussion. This week, we’re going to look at regression from a positive perspective: Which players are most likely to bounce back from their disappointing seasons in 2018-19?



Much like last week’s article on regression candidates, the best thing to look for in this regard is a player whose shooting percentage was drastically different from his career average last season. The difference is instead of looking for players who unsustainably outperformed their true talent, we’re going to break down the players who produced significantly worse than usual (but showed signs they’re due for a bounce back). This is where regression to the mean can work the other way — you can regress upward to your career average after an outlier of a down year.



I tried my best to find players who met...