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Penguins vs. Golden Knights prediction: Vegas favored to win Thursday's NHL matchup [3/12/2026]

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Written by Jason Bevilacqua

Get Pittsburgh Penguins vs Vegas Golden Knights predictions for NHL Thursday.

Pittsburgh Penguins-Vegas Golden Knights Predictions and Game Preview.
Pittsburgh Penguins vs. Vegas Golden Knights NHL prediction for Thursday, March 12, 2026.

NHL action continues on Thursday at 10:00 PM ET as the Pittsburgh Penguins take on the Vegas Golden Knights at T-Mobile Arena.

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

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

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

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

Our famous predictive model currently gives the Golden Knights a 57% chance of beating the Penguins.

According to our model, the Penguins (+1.5) have a 64% chance of covering the puck line, while the 6-goal over/under has a 51% chance of going over.

 

Penguins vs. Golden Knights odds

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

Bet Type Penguins Golden Knights
Puck Line +1.5 (-165) -1.5 (+145)
Moneyline +150 -170
Total o6 (-130) u6 (+100)

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

Penguins 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:

Bet Type Pick Bet Now
Puck Line Penguins +1.5 -165
Moneyline Penguins +150
Total Under 6 +100

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

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

 

Penguins vs. Golden Knights player props

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

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

Our projections give Dorofeyev a 39.2% chance of scoring a goal at T-Mobile Arena, while the star is a 7.8% chance of netting the first goal the game.

Anytime goal scorer predictions

Pittsburgh Penguins

Player Anytime Goal Probability
Bryan Rust 31.3%
Rickard Rakell 28.5%
Yegor Chinakhov 28.1%
Anthony Mantha 27.2%
Thomas Novak 24.3%

Vegas Golden Knights

Player Anytime Goal Probability
Pavel Dorofeyev 39.2%
Jack Eichel 36.5%
Tomas Hertl 29.3%
Mitch Marner 27.9%
Ivan Barbashev 26.2%

First goal scorer predictions

Pittsburgh Penguins

Player First Goal Probability
Bryan Rust 6.0%
Rickard Rakell 5.7%
Anthony Mantha 5.1%
Yegor Chinakhov 4.8%
Thomas Novak 4.5%

Vegas Golden Knights

Player First Goal Probability
Pavel Dorofeyev 7.8%
Jack Eichel 7.4%
Tomas Hertl 5.8%
Mitch Marner 5.2%
Ivan Barbashev 5.0%

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

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

Conclusion

We predict the Golden Knights, with a 57% win probability, will likely beat the Penguins on Thursday.

AI and automation have enhanced this article to quickly deliver accurate Penguins vs. Golden Knights 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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