The summer of analytics has turned into the winter of discontent. Several NHL teams hired data-oriented people in the off-season and some have struggled so far. The list includes the Carolina Hurricanes, Edmonton Oilers, New Jersey Devils and Toronto Maple Leafs – four of the bottom seven teams in the league standings.
“Those teams haven’t magically transformed overnight into good teams, and people will jump on and say, ‘I told you that analytics [stuff] didn’t work. Those teams are no good,’ ” said Toronto assistant general manager Kyle Dubas, the summer’s highest-profile hire. “You go on my Twitter timeline after any game the Maple Leafs lose and see that firsthand.”
Here's the thing, though.
“It’s not magic,” Dubas said. “It’s not really magic. It’s a process, and it’s hard work, and it’s difficult, and you have to push your way through it.”
To have the best chance of success, no matter the philosophy, you need buy-in throughout the organization and time for the parts to align. You need management to draft, develop and acquire players that fit. You need the coaches to use the players in a way that fits.
Some teams have been using analytics for years, like the Chicago Blackhawks and Los Angeles Kings – winners of four of the last five Stanley Cups. Other teams are just getting started. There are different levels of buy-in from team to team.