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Sabres vs. Golden Knights prediction: Vegas favored to win Tuesday's NHL matchup [3/17/2026]

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Written by Jason Bevilacqua

Get Buffalo Sabres vs Vegas Golden Knights predictions for NHL Tuesday.

Buffalo Sabres-Vegas Golden Knights Predictions and Game Preview.
Buffalo Sabres vs. Vegas Golden Knights NHL prediction for Tuesday, March 17, 2026.

The Vegas Golden Knights will face the Buffalo Sabres, in what is expected to be a tight NHL game, at T-Mobile Arena on Tuesday, starting at 10:00 PM ET.

Based on updated simulation results, Dimers' proven NHL model gives the Golden Knights a slight edge with a 54% win probability over the Sabres.

This article offers an expanded analysis of Tuesday's Sabres vs. Golden Knights matchup, including projected goal scorers, best bets and player prop picks.

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

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

Our famous predictive model currently gives the Golden Knights a 54% chance of defeating the Sabres.

According to our model, the Sabres (+1.5) have a 67% chance of covering the puck line, while the 6.5-goal over/under has a 52% chance of staying under.

 

Sabres vs. Golden Knights odds

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

Bet Type Sabres Golden Knights
Puck Line +1.5 (-215) -1.5 (+185)
Moneyline +116 -130
Total o6.5 (-105) u6.5 (-105)

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

Sabres 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 Sabres +1.5 -215
Moneyline Sabres +116
Total Under 6.5 -105

According to our best NHL bets, the top play to make on this game is Under 6.5 total goals.

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

 

Sabres vs. Golden Knights player props

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

According to our model, Tage Thompson is most likely to score an anytime goal in Sabres vs. Golden Knights.

Our projections give Thompson a 42.6% chance of scoring a goal at T-Mobile Arena, while the star is an 8.5% chance of netting the first goal the game.

Anytime goal scorer predictions

Buffalo Sabres

Player Anytime Goal Probability
Tage Thompson 42.6%
Josh Norris 29.0%
Jason Zucker 26.9%
Jack Quinn 21.9%
Rasmus Dahlin 21.9%

Vegas Golden Knights

Player Anytime Goal Probability
Pavel Dorofeyev 39.7%
Jack Eichel 36.5%
Mitch Marner 28.6%
Tomas Hertl 28.1%
Ivan Barbashev 26.6%

First goal scorer predictions

Buffalo Sabres

Player First Goal Probability
Tage Thompson 8.5%
Josh Norris 5.3%
Jason Zucker 4.6%
Rasmus Dahlin 3.9%
Jack Quinn 3.6%

Vegas Golden Knights

Player First Goal Probability
Pavel Dorofeyev 7.6%
Jack Eichel 7.1%
Mitch Marner 5.5%
Tomas Hertl 5.4%
Ivan Barbashev 4.7%

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

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

Conclusion

We predict the Golden Knights, with a 54% win probability, will likely beat the Sabres on Tuesday.

AI and automation have enhanced this article to quickly deliver accurate Sabres vs. Golden Knights insights, with human oversight ensuring high editorial quality. Our predictions are drawn from up-to-date 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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