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Golden Knights vs. Jets prediction: Why Vegas is favored to win Tuesday's NHL matchup [3/24/2026]

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Written by Jason Bevilacqua

Get Vegas Golden Knights vs Winnipeg Jets predictions for NHL Tuesday.

Vegas Golden Knights-Winnipeg Jets Predictions and Game Preview.
Vegas Golden Knights vs. Winnipeg Jets NHL prediction for Tuesday, March 24, 2026.

The Winnipeg Jets will square off with the Vegas Golden Knights, in what is expected to be a tight NHL game, at Canada Life Centre on Tuesday, commencing at 8:00 PM ET.

Based on updated simulation results, Dimers' proven NHL model gives the Golden Knights a slight edge with a 52% win probability over the Jets.

This article offers further insights into Tuesday's Golden Knights vs. Jets matchup, including projected goal scorers, best bets and player prop picks.

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

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

Our independent predictive model currently gives the Golden Knights a 52% chance of defeating the Jets.

According to our model, the Jets (+1.5) have a 69% chance of covering the puck line, while the over/under total of six goals has a 52% chance of staying under.

 

Golden Knights vs. Jets odds

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

Bet Type Golden Knights Jets
Puck Line -1.5 (+195) +1.5 (-230)
Moneyline -128 +110
Total o6 (-105) u6 (-115)

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

Golden Knights vs. Jets picks and best bet

After matching our probabilities 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:

Bet Type Pick Bet Now
Puck Line Jets +1.5 -230
Moneyline Jets +110
Total Under 6 -115

According to our NHL best bets, the top play to make on this game is Jets to win.

These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.

 

Golden Knights vs. Jets player props

Who will score a goal in Golden Knights vs. Jets?

According to our model, Kyle Connor is most likely to score an anytime goal in Golden Knights vs. Jets.

Our projections give Connor a 38.9% chance of scoring a goal at Canada Life Centre, while the star is an 8.2% chance of netting the first goal the game.

Anytime goal scorer predictions

Vegas Golden Knights

Player Anytime Goal Probability
Pavel Dorofeyev 38.5%
Jack Eichel 32.9%
Mitch Marner 28.9%
Tomas Hertl 27.4%
Ivan Barbashev 23.5%

Winnipeg Jets

Player Anytime Goal Probability
Kyle Connor 38.9%
Mark Scheifele 35.3%
Gabriel Vilardi 28.0%
Cole Perfetti 26.6%
Josh Morrissey 17.8%

First goal scorer predictions

Vegas Golden Knights

Player First Goal Probability
Pavel Dorofeyev 8.7%
Jack Eichel 6.3%
Mitch Marner 5.8%
Tomas Hertl 5.3%
Ivan Barbashev 4.2%

Winnipeg Jets

Player First Goal Probability
Kyle Connor 8.2%
Mark Scheifele 6.8%
Cole Perfetti 5.5%
Gabriel Vilardi 4.9%
Josh Morrissey 3.2%

Golden Knights vs. Jets game-day updates and essential details

Tuesday's matchup between the Jets and Golden Knights at Canada Life Centre is scheduled to commence at 8:00 PM ET.

Conclusion

We predict the Golden Knights, with a 52% win probability, will likely beat the Jets on Tuesday.

AI and automation have enhanced this article to quickly deliver accurate Golden Knights vs. Jets insights, with human oversight ensuring high editorial quality. Our predictions are sourced from the latest data to help you make informed decisions. For additional resources and advice on responsible gambling, please call 1-800-GAMBLER.

Note: Clicking links to our partners may earn us a referral fee. Learn about how we review products and services.

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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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