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Golden Knights vs. Blues prediction: Vegas favored to win Friday's NHL matchup [1/2/2026]

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Written by Jason Bevilacqua

Get Vegas Golden Knights vs St. Louis Blues predictions for NHL Friday.

Vegas Golden Knights-St. Louis Blues Predictions and Game Preview.
Vegas Golden Knights vs. St. Louis Blues NHL prediction for Friday, January 2, 2026.

The St. Louis Blues and Vegas Golden Knights are scheduled to meet in the NHL at Enterprise Center on Friday, starting at 3:00 PM ET.

Based on updated simulations, Dimers' advanced NHL model predicts the Golden Knights as the most likely winner of the Golden Knights vs. Blues game.

This article offers a closer look at Friday's matchup, including projected goal scorers, best bets and player prop picks.

Golden Knights vs. Blues prediction: Who will win and cover?

Using innovative machine learning and statistical analysis, we have simulated the result of Friday's NHL matchup between the Golden Knights and Blues 10,000 times as part of our NHL predictions coverage.

Our leading predictive model gives the Golden Knights a 56% chance of defeating the Blues.

According to our model, the Blues (+1.5) have a 66% chance of covering the puck line, while the over/under total of 5.5 goals has a 53% chance of going over.

 

Golden Knights vs. Blues odds

We have researched the best NHL odds in America for this game, which are listed here:

Bet Type Golden Knights Blues
Puck Line -1.5 (+164) +1.5 (-185)
Moneyline -155 +135
Total o5.5 (-125) u5.5 (+105)

All odds are correct at the time of publication and are subject to change.

Golden Knights vs. Blues picks and best bet

After matching our predictions against the best current odds, we can reveal our picks for each of the major markets. Plus, find our best bet for the game below:

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Written by
Jason Bevilacqua
Head of Content and Communities

Jason Bevilacqua, an expert in MLB, NHL, NBA, MLS, and NFL, delivers game previews, best bets, and props. Since 2020, as Head of Social and Community at Dimers, he has contributed insightful articles utilizing data-driven models and simulations.

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