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Blues vs. Blackhawks prediction: Why St. Louis is favored to win Wednesday's NHL matchup [1/7/2026]

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Written by Jason Bevilacqua

Get St. Louis Blues vs Chicago Blackhawks predictions for NHL Wednesday.

St. Louis Blues-Chicago Blackhawks Predictions and Game Preview.
St. Louis Blues vs. Chicago Blackhawks NHL prediction for Wednesday, January 7, 2026.

The Chicago Blackhawks and St. Louis Blues are scheduled to meet in the NHL at United Center on Wednesday, starting at 9:30 PM ET.

Based on updated simulations, Dimers' proven NHL model gives the Blues a slight edge with a 52% win probability over the Blackhawks.

This article offers further insights into Wednesday's Blues vs. Blackhawks matchup, including projected goal scorers, best bets and player prop picks.

Blues vs. Hawks prediction: Who will win and cover?

Using trusted machine learning and data, we have simulated the outcome of Wednesday's NHL game between the Blues and Blackhawks 10,000 times as part of our NHL predictions coverage.

Our leading predictive model currently gives the Blues a 52% chance of beating the Blackhawks.

According to our model, the Blackhawks (+1.5) have a 70% chance of covering the puck line, while the over/under total of 5.5 goals has a 51% chance of going over.

 

Blues vs. Blackhawks odds

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

Bet Type Blues Blackhawks
Puck Line -1.5 (+220) +1.5 (-250)
Moneyline -118 -102
Total o5.5 (+105) u5.5 (-125)

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

Blues vs. Blackhawks picks and best bet

After matching our predictions against the best available 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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