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Oilers vs. Sharks prediction: Edmonton favored to win Wednesday's NHL matchup [4/8/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Edmonton Oilers vs San Jose Sharks predictions for NHL Wednesday.
The San Jose Sharks and Edmonton Oilers will lock horns in the NHL at SAP Center at San Jose on Wednesday, with puck drop at 10:00 PM ET.
Based on the latest simulations, Dimers' proven NHL model gives the Oilers a slight edge with a 53% win probability over the Sharks.
This article offers further insights into Wednesday's Oilers vs. Sharks matchup, including projected goal scorers, best bets and player prop picks.
Oilers vs. Sharks prediction: Who will win and cover?
Using powerful machine learning and data analysis, we have simulated the outcome of Wednesday's NHL game between the Oilers and Sharks, forming part of our NHL predictions coverage.
Our famous predictive model currently gives the Oilers a 53% chance of beating the Sharks.
According to our model, the Sharks (+1.5) have a 67% chance of covering the puck line, while the 6.5-goal over/under has a 52% 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 (+215) | +1.5 (-265) |
| Moneyline | -102 | -110 |
| Total | o6.5 (-130) | u6.5 (+114) |
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 | Oilers -1.5 | +215 |
| Moneyline | Oilers | -102 |
| Total | Under 6.5 | +114 |
According to our NHL best bets, the top play to make on this game is Oilers to win.
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, Connor McDavid is most likely to score an anytime goal in Oilers vs. Sharks.
Our projections give McDavid a 44.4% chance of scoring a goal at SAP Center at San Jose, while the star is a 9.8% chance of netting the first goal the game.
Anytime goal scorer predictions
Edmonton Oilers
| Player | Anytime Goal Probability |
|---|---|
| Connor McDavid | 44.4% |
| Ryan Nugent-Hopkins | 29.4% |
| Jack Roslovic | 28.1% |
| Matt Savoie | 24.5% |
| Evan Bouchard | 21.4% |
San Jose Sharks
| Player | Anytime Goal Probability |
|---|---|
| Macklin Celebrini | 41.9% |
| Will Smith | 30.2% |
| Tyler Toffoli | 25.8% |
| Kiefer Sherwood | 23.1% |
| William Eklund | 20.5% |
First goal scorer predictions
Edmonton Oilers
| Player | First Goal Probability |
|---|---|
| Connor McDavid | 9.8% |
| Ryan Nugent-Hopkins | 5.2% |
| Jack Roslovic | 4.3% |
| Matt Savoie | 3.5% |
| Evan Bouchard | 3.4% |
San Jose Sharks
| Player | First Goal Probability |
|---|---|
| Macklin Celebrini | 8.4% |
| Will Smith | 5.0% |
| Tyler Toffoli | 4.4% |
| Kiefer Sherwood | 3.7% |
| Michael Misa | 3.5% |
Oilers vs. Sharks game-day updates and essential details
Wednesday's matchup between the Sharks and Oilers at SAP Center at San Jose is scheduled to begin at 10:00 PM ET.
- Who: Edmonton Oilers vs. San Jose Sharks
- Date: Wednesday, April 8, 2026
- Time: 10:00 PM ET/7:00PM PT
- Venue: SAP Center at San Jose
Conclusion
We predict the Oilers, with a 53% win probability, will likely beat the Sharks on Wednesday.
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 up-to-date data to help you make informed decisions. For additional resources and advice, head to our responsible gambling hub.
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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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