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Flames vs. Golden Knights prediction: Vegas favored to win Thursday's NHL matchup [4/2/2026]

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Written by Jason Bevilacqua

Get Calgary Flames vs Vegas Golden Knights predictions for NHL Thursday.

Calgary Flames-Vegas Golden Knights Predictions and Game Preview.
Calgary Flames vs. Vegas Golden Knights NHL prediction for Thursday, April 2, 2026.

The Vegas Golden Knights and Calgary Flames are scheduled to meet in the NHL at T-Mobile Arena on Thursday, with puck drop at 10:00 PM ET.

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

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

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

Using innovative machine learning and data, we have simulated the outcome of Thursday's NHL matchup between the Flames and Golden Knights, forming part of our NHL predictions coverage.

Our leading predictive model currently gives the Golden Knights a 64% chance of defeating the Flames.

According to our model, the Flames (+1.5) have a 58% chance of covering the puck line, while the 6.5-goal over/under has a 57% chance of staying under.

 

Flames vs. Golden Knights odds

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

Bet Type Flames Golden Knights
Puck Line +1.5 (-125) -1.5 (+114)
Moneyline +200 -230
Total o6.5 (+114) u6.5 (-130)

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

Flames vs. Golden Knights 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:

Bet Type Pick Bet Now
Puck Line Flames +1.5 -125
Moneyline Flames +200
Total Under 6.5 -130

According to our NHL best bets, the top play to make on this game is Flames +1.5 at the spread.

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

 

Flames vs. Golden Knights player props

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

According to our model, Pavel Dorofeyev is most likely to score an anytime goal in Flames vs. Golden Knights.

Our projections give Dorofeyev a 40.1% chance of scoring a goal at T-Mobile Arena, while the star is an 8.7% chance of registering the first goal the game.

Anytime goal scorer predictions

Calgary Flames

Player Anytime Goal Probability
Matthew Coronato 22.0%
Yegor Sharangovich 21.7%
Victor Olofsson 21.2%
Morgan Frost 20.3%
Joel Farabee 18.7%

Vegas Golden Knights

Player Anytime Goal Probability
Pavel Dorofeyev 40.1%
Jack Eichel 35.9%
Tomas Hertl 29.2%
Mitch Marner 28.9%
Mark Stone 27.2%

First goal scorer predictions

Calgary Flames

Player First Goal Probability
Yegor Sharangovich 4.6%
Matthew Coronato 4.4%
Victor Olofsson 3.9%
Joel Farabee 3.8%
Morgan Frost 3.7%

Vegas Golden Knights

Player First Goal Probability
Pavel Dorofeyev 8.7%
Jack Eichel 7.3%
Mitch Marner 6.2%
Tomas Hertl 5.6%
Mark Stone 4.9%

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

Thursday's matchup between the Golden Knights and Flames at T-Mobile Arena is scheduled to begin at 10:00 PM ET.

Conclusion

We predict the Golden Knights, with a 64% win probability, will likely beat the Flames on Thursday.

AI and automation have enhanced this article to quickly deliver accurate Flames vs. Golden Knights insights, with human oversight ensuring high editorial quality. Our predictions are based on up-to-date data to help you make informed decisions. For additional resources and advice, head to our responsible gambling hub.

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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