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Oilers vs. Sharks prediction: Edmonton favored to win Saturday's NHL matchup [2/28/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Edmonton Oilers vs San Jose Sharks predictions for NHL Saturday.
The San Jose Sharks will take on the Edmonton Oilers in NHL action at SAP Center at San Jose on Saturday, commencing at 4:00 PM ET.
Based on the latest simulation results, Dimers' proven NHL model predicts the Oilers as the most likely winner of the Oilers vs. Sharks game.
This article offers further insights into Saturday's matchup, including projected goal scorers, best bets and player prop picks.
Oilers vs. Sharks prediction: Who will win and cover?
Using innovative machine learning and statistical analysis, we have simulated the result of Saturday's NHL game between the Oilers and Sharks 10,000 times as part of our NHL predictions coverage.
Our famous predictive model gives the Oilers a 59% chance of defeating the Sharks.
According to our model, the Sharks (+1.5) have a 63% chance of covering the puck line, while the 6.5-goal over/under has a 53% chance of going over.
Oilers vs. Sharks odds
We have sourced the best NHL odds in America for this game, which are listed here:
| Bet Type | Oilers | Sharks |
|---|---|---|
| Puck Line | -1.5 (+160) | +1.5 (-180) |
| Moneyline | -160 | +136 |
| Total | o6.5 (-148) | u6.5 (+134) |
All odds are correct at the time of publication and are subject to change.
Oilers 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 | -180 |
| Moneyline | Sharks | +136 |
| Total | Under 6.5 | +134 |
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.
Oilers vs. Sharks player props
Who will score a goal in Oilers vs. Sharks?
According to our model, Leon Draisaitl is most likely to score an anytime goal in Oilers vs. Sharks.
Our projections give Draisaitl a 46.5% chance of scoring a goal at SAP Center at San Jose, while the star is a 9.7% chance of netting the first goal the game.
Anytime goal scorer predictions
Edmonton Oilers
| Player | Anytime Goal Probability |
|---|---|
| Leon Draisaitl | 46.5% |
| Zach Hyman | 42.9% |
| Connor McDavid | 39.2% |
| Jack Roslovic | 23.6% |
| Ryan Nugent-Hopkins | 22.8% |
San Jose Sharks
| Player | Anytime Goal Probability |
|---|---|
| Macklin Celebrini | 40.7% |
| Will Smith | 34.8% |
| Tyler Toffoli | 32.5% |
| Kiefer Sherwood | 21.3% |
| William Eklund | 19.7% |
First goal scorer predictions
Edmonton Oilers
| Player | First Goal Probability |
|---|---|
| Leon Draisaitl | 9.7% |
| Zach Hyman | 8.8% |
| Connor McDavid | 7.4% |
| Jack Roslovic | 4.0% |
| Ryan Nugent-Hopkins | 3.9% |
San Jose Sharks
| Player | First Goal Probability |
|---|---|
| Macklin Celebrini | 7.3% |
| Tyler Toffoli | 6.2% |
| Will Smith | 6.1% |
| Kiefer Sherwood | 3.7% |
| William Eklund | 3.3% |
Oilers vs. Sharks game-day updates and essential details
Saturday's action between the Sharks and Oilers at SAP Center at San Jose is scheduled to begin at 4:00 PM ET.
- Who: Edmonton Oilers vs. San Jose Sharks
- Date: Saturday, February 28, 2026
- Time: 4:00 PM ET/1:00PM PT
- Venue: SAP Center at San Jose
Conclusion
We predict the Oilers, with a 59% win probability, will likely beat the Sharks on Saturday.
AI and automation have enhanced this article to quickly deliver accurate Oilers 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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