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Islanders vs. Sharks prediction: Islanders favored to win Saturday's NHL matchup [3/7/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get NY Islanders vs San Jose Sharks predictions for NHL Saturday.
The San Jose Sharks and NY Islanders are scheduled to meet in the NHL at SAP Center at San Jose on Saturday, starting at 10:00 PM ET.
Based on updated simulations, Dimers' proven NHL model gives the Islanders a slight edge with a 54% win probability over the Sharks.
This article offers further insights into Saturday's Islanders vs. Sharks matchup, including projected goal scorers, best bets and player prop picks.
Isles vs. Sharks prediction: Who will win and cover?
Using innovative machine learning and data, we have simulated the outcome of Saturday's NHL game between the Islanders and Sharks 10,000 times as part of our NHL predictions coverage.
Our famous predictive model gives the Islanders a 54% chance of defeating the Sharks.
According to our model, the Sharks (+1.5) have a 68% chance of covering the puck line, while the 6.5-goal over/under has a 56% chance of staying under.
Islanders vs. Sharks odds
We have sourced the best NHL odds in America for this game, which are listed here:
| Bet Type | Islanders | Sharks |
|---|---|---|
| Puck Line | -1.5 (+172) | +1.5 (-205) |
| Moneyline | -140 | +124 |
| Total | o6.5 (+110) | u6.5 (-130) |
All odds are correct at the time of publication and are subject to change.
Islanders vs. Sharks 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 | Sharks +1.5 | -205 |
| Moneyline | Sharks | +124 |
| Total | Under 6.5 | -130 |
According to our NHL best bets, the top play to make on this game is Sharks to win.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Islanders vs. Sharks player props
Who will score a goal in Islanders vs. Sharks?
According to our model, Macklin Celebrini is most likely to score an anytime goal in Islanders vs. Sharks.
Our projections give Celebrini a 39.6% chance of scoring a goal at SAP Center at San Jose, while the star is an 8.1% chance of netting the first goal the game.
Anytime goal scorer predictions
NY Islanders
| Player | Anytime Goal Probability |
|---|---|
| Bo Horvat | 38.1% |
| Mathew Barzal | 27.1% |
| Anders Lee | 26.6% |
| Simon Holmstrom | 25.4% |
| Jean-Gabriel Pageau | 23.3% |
San Jose Sharks
| Player | Anytime Goal Probability |
|---|---|
| Macklin Celebrini | 39.6% |
| Will Smith | 32.5% |
| Tyler Toffoli | 26.0% |
| Kiefer Sherwood | 25.1% |
| Adam Gaudette | 22.1% |
First goal scorer predictions
NY Islanders
| Player | First Goal Probability |
|---|---|
| Bo Horvat | 7.9% |
| Anders Lee | 5.3% |
| Mathew Barzal | 5.3% |
| Simon Holmstrom | 4.6% |
| Jean-Gabriel Pageau | 4.2% |
San Jose Sharks
| Player | First Goal Probability |
|---|---|
| Macklin Celebrini | 8.1% |
| Will Smith | 6.5% |
| Tyler Toffoli | 5.3% |
| Kiefer Sherwood | 4.5% |
| Adam Gaudette | 3.9% |
Isles vs. Sharks game-day updates and essential details
Saturday's game between the Sharks and Islanders at SAP Center at San Jose is scheduled to begin at 10:00 PM ET.
- Who: NY Islanders vs. San Jose Sharks
- Date: Saturday, March 7, 2026
- Time: 10:00 PM ET/7:00PM PT
- Venue: SAP Center at San Jose
Conclusion
We predict the Islanders, with a 54% win probability, will likely beat the Sharks on Saturday.
AI and automation have enhanced this article to quickly deliver accurate Islanders vs. Sharks insights, with human oversight ensuring high editorial quality. Our predictions are based on 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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