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Blues vs. Golden Knights prediction: Vegas favored to win Saturday's NHL matchup [1/10/2026]

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Written by Jason Bevilacqua

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

St. Louis Blues-Vegas Golden Knights Predictions and Game Preview.
St. Louis Blues vs. Vegas Golden Knights NHL prediction for Saturday, January 10, 2026.

The Vegas Golden Knights and St. Louis Blues will meet in the NHL at T-Mobile Arena on Saturday, starting at 10:00 PM ET.

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

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

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

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

Our leading predictive model currently gives the Golden Knights a 66% chance of defeating the Blues.

According to our model, the Blues (+1.5) have a 56% chance of covering the puck line, while the over/under total of 5.5 goals has a 58% chance of going over.

 

Blues vs. Golden Knights odds

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

Bet Type Blues Golden Knights
Puck Line +1.5 (-110) -1.5 (-105)
Moneyline +225 -270
Total o5.5 (-130) u5.5 (+104)

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

Blues vs. Golden Knights 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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