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Canadiens vs. Sharks prediction: Montreal favored to win Tuesday's NHL matchup [3/3/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Montreal Canadiens vs San Jose Sharks predictions for NHL Tuesday.
NHL action continues on Tuesday at 10:00 PM ET as the Montreal Canadiens take on the San Jose Sharks at SAP Center at San Jose.
Based on updated simulation results, Dimers' advanced NHL model predicts the Canadiens as the most likely winner of the Canadiens vs. Sharks game.
This article offers a closer look at Tuesday's matchup, including projected goal scorers, best bets and player prop picks.
Habs vs. Sharks prediction: Who will win and cover?
Using trusted machine learning and data, we have simulated the result of Tuesday's NHL game between the Canadiens and Sharks 10,000 times as part of our NHL predictions coverage.
Our leading predictive model gives the Canadiens a 55% chance of beating the Sharks.
According to our model, the Sharks (+1.5) have a 66% chance of covering the puck line, while the 6.5-goal over/under has a 51% chance of staying under.
Canadiens vs. Sharks odds
We have sourced the best NHL odds in America for this game, which are listed here:
| Bet Type | Canadiens | Sharks |
|---|---|---|
| Puck Line | -1.5 (+185) | +1.5 (-210) |
| Moneyline | -130 | +112 |
| Total | o6.5 (-115) | u6.5 (-105) |
All odds are correct at the time of publication and are subject to change.
Canadiens vs. Sharks 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 | Canadiens -1.5 | +185 |
| Moneyline | Canadiens | -130 |
| Total | Under 6.5 | -105 |
According to our NHL best 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.
Canadiens vs. Sharks player props
Who will score a goal in Canadiens vs. Sharks?
According to our model, Cole Caufield is most likely to score an anytime goal in Canadiens vs. Sharks.
Our projections give Caufield a 43.7% chance of scoring a goal at SAP Center at San Jose, while the star is an 8.8% chance of netting the first goal the game.
Anytime goal scorer predictions
Montreal Canadiens
| Player | Anytime Goal Probability |
|---|---|
| Cole Caufield | 43.7% |
| Nick Suzuki | 30.3% |
| Ivan Demidov | 26.4% |
| Alex Newhook | 23.1% |
| Juraj Slafkovsky | 23.0% |
San Jose Sharks
| Player | Anytime Goal Probability |
|---|---|
| Macklin Celebrini | 40.1% |
| Will Smith | 31.9% |
| Tyler Toffoli | 29.3% |
| Kiefer Sherwood | 22.6% |
| William Eklund | 19.3% |
First goal scorer predictions
Montreal Canadiens
| Player | First Goal Probability |
|---|---|
| Cole Caufield | 8.8% |
| Nick Suzuki | 5.6% |
| Alex Newhook | 4.6% |
| Ivan Demidov | 4.2% |
| Juraj Slafkovsky | 3.8% |
San Jose Sharks
| Player | First Goal Probability |
|---|---|
| Macklin Celebrini | 8.1% |
| Will Smith | 5.9% |
| Tyler Toffoli | 4.7% |
| Kiefer Sherwood | 4.2% |
| Michael Misa | 3.2% |
Habs vs. Sharks game-day updates and essential details
Tuesday's game between the Sharks and Canadiens at SAP Center at San Jose is scheduled to begin at 10:00 PM ET.
- Who: Montreal Canadiens vs. San Jose Sharks
- Date: Tuesday, March 3, 2026
- Time: 10:00 PM ET/7:00PM PT
- Venue: SAP Center at San Jose
Conclusion
We predict the Canadiens, with a 55% win probability, will likely beat the Sharks on Tuesday.
AI and automation have enhanced this article to quickly deliver accurate Canadiens vs. Sharks 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.
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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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