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Oilers vs. Jets prediction: Close contest projected after new data released for Thursday's NHL matchup [1/8/2026]

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Written by Jason Bevilacqua

Get Edmonton Oilers vs Winnipeg Jets predictions for NHL Thursday.

Edmonton Oilers-Winnipeg Jets Predictions and Game Preview.
Edmonton Oilers vs. Winnipeg Jets NHL prediction for Thursday, January 8, 2026.

The Winnipeg Jets will take on the Edmonton Oilers, in what is expected to be a close NHL game, at Canada Life Centre on Thursday, commencing at 8:00 PM ET.

Based on updated simulation results, Dimers' advanced NHL model gives an equal chance for both both teams to win the Oilers-Jets matchup.

This article offers an expanded analysis of Thursday's Oilers vs. Jets matchup, including projected goal scorers, best bets and player prop picks.

Oilers vs. Jets prediction: Who will win and cover?

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

Our leading predictive model can't split the two teams, giving both the Oilers and Jets a 50% chance of winning the game.

According to our model, the Jets (+1.5) have a 70% chance of covering the puck line, while the 6-goal over/under has an equal 50-50 chance of hitting.

 

Oilers vs. Jets odds

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

Bet Type Oilers Jets
Puck Line -1.5 (+215) +1.5 (-250)
Moneyline -115 -105
Total o6 (-118) u6 (-102)

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

Oilers vs. Jets 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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