The 61% Correct NHL Algorithm With Data Since 2005 That Targets Home Favorites Early in Season
Len Redkoles/NHLI via Getty Images. Pictured: Minnesota Wild player Kirill Kaprizov
There's a 61% correct NHL algorithm with data since 2005 that targets home underdogs early in the season.
Under specific parameters proprietary to the Action Network, certain types of home underdogs have done fantastic via the moneyline over a very lengthy sample size.
Teams of this sort have gone 377-237 since 2005, good for the aforementioned 61.4% winning clip.
If you had bet $100 on each game since the Bush administration, you'd be up $3,328.
There are two games on the docket for Thursday night that fit the algorithm's parameters.