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Kraken vs. Sharks prediction: Close contest projected after new data released for Saturday's NHL matchup [12/20/2025]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Seattle Kraken vs San Jose Sharks predictions for NHL Saturday.
The San Jose Sharks will square off with the Seattle Kraken, in what is expected to be a close NHL game, at SAP Center at San Jose on Saturday, beginning at 10:00 PM ET.
Based on the latest simulations, Dimers' proven NHL model gives an equal chance for both both teams to win the Kraken-Sharks matchup.
This article offers a closer look at Saturday's Kraken vs. Sharks matchup, including projected goal scorers, best bets and player prop picks.
Kraken vs. Sharks prediction: Who will win and cover?
Using trusted machine learning and data, we have simulated the result of Saturday's NHL game between the Kraken and Sharks 10,000 times as part of our NHL predictions coverage.
Our independent predictive model currently can't split the two teams, giving both the Kraken and Sharks a 50% chance of winning the game.
According to our model, the Kraken (+1.5) have a 70% chance of covering the puck line, while the over/under total of six goals has a 51% chance of staying under.
Kraken vs. Sharks odds
We have sourced the best NHL odds in America for this game, which are listed here:
| Bet Type | Kraken | Sharks |
|---|---|---|
| Puck Line | +1.5 (-250) | -1.5 (+215) |
| Moneyline | -102 | -114 |
| Total | o6 (-118) | u6 (-102) |
All odds are correct at the time of publication and are subject to change.
Kraken vs. Sharks picks and best bet
After matching our probabilities 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 | +215 |
| Moneyline | Kraken | -102 |
| Total | Under 6 | -102 |
According to our NHL best bets, the top play to make on this game is Under 6 total goals.
Kraken vs. Sharks player props
Who will score a goal in Kraken vs. Sharks?
According to our model, Macklin Celebrini is most likely to score an anytime goal in Kraken vs. Sharks.
Our projections give Celebrini a 46.1% chance of scoring a goal at SAP Center at San Jose, while the star is a 10.6% chance of netting the first goal the game.
Anytime goal scorer predictions
Seattle Kraken
| Player | Anytime Goal Probability |
|---|---|
| Jordan Eberle | 31.6% |
| Eeli Tolvanen | 30.4% |
| Shane Wright | 26.9% |
| Matty Beniers | 25.4% |
| Kaapo Kakko | 22.7% |
San Jose Sharks
| Player | Anytime Goal Probability |
|---|---|
| Macklin Celebrini | 46.1% |
| Tyler Toffoli | 33.8% |
| William Eklund | 28.9% |
| Adam Gaudette | 21.1% |
| Collin Graf | 20.0% |
First goal scorer predictions
Seattle Kraken
| Player | First Goal Probability |
|---|---|
| Jordan Eberle | 6.2% |
| Eeli Tolvanen | 5.9% |
| Shane Wright | 5.2% |
| Kaapo Kakko | 4.9% |
| Matty Beniers | 4.4% |
San Jose Sharks
| Player | First Goal Probability |
|---|---|
| Macklin Celebrini | 10.6% |
| Tyler Toffoli | 7.2% |
| William Eklund | 5.8% |
| Adam Gaudette | 4.3% |
| Collin Graf | 3.8% |
Kraken vs. Sharks game-day updates and essential details
Saturday's matchup between the Sharks and Kraken at SAP Center at San Jose is scheduled to start at 10:00 PM ET.
- Who: Seattle Kraken vs. San Jose Sharks
- Date: Saturday, December 20, 2025
- Time: 10:00 PM ET/7:00PM PT
- Venue: SAP Center at San Jose
Conclusion
We predict a close game between the Kraken and Sharks on Saturday, with each team having a 50% chance of winning.
AI and automation have enhanced this article to quickly deliver accurate Kraken 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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