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Sharks vs. Golden Knights prediction: Vegas favored to win Tuesday's NHL matchup [12/23/2025]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get San Jose Sharks vs Vegas Golden Knights predictions for NHL Tuesday.
NHL action continues on Tuesday at 10:00 PM ET as the San Jose Sharks lock horns with the Vegas Golden Knights at T-Mobile Arena.
Based on updated simulation results, Dimers' proven NHL model predicts the Golden Knights as the most likely winner of the Sharks vs. Golden Knights game.
This article offers a closer look at Tuesday's matchup, including projected goal scorers, best bets and player prop picks.
Sharks vs. Golden Knights prediction: Who will win and cover?
Using powerful machine learning and statistical analysis, we have simulated the result of Tuesday's NHL game between the Sharks and Golden Knights 10,000 times as part of our NHL predictions coverage.
Our independent predictive model currently gives the Golden Knights a 65% chance of beating the Sharks.
According to our model, the Sharks (+1.5) have a 57% chance of covering the puck line, while the over/under total of 6.5 goals has a 54% chance of staying under.
Sharks vs. Golden Knights odds
We have sourced the best NHL odds in America for this game, which are listed here:
| Bet Type | Sharks | Golden Knights |
|---|---|---|
| Puck Line | +1.5 (-144) | -1.5 (+124) |
| Moneyline | +168 | -198 |
| Total | o6.5 (+102) | u6.5 (-122) |
All odds are correct at the time of publication and are subject to change.
Sharks vs. Golden Knights 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 | Golden Knights -1.5 | +124 |
| Moneyline | Golden Knights | -198 |
| Total | Under 6.5 | -122 |
According to our NHL best bets, the top play to make on this game is Under 6.5 total goals.
Sharks vs. Golden Knights player props
Who will score a goal in Sharks vs. Golden Knights?
According to our model, Tomas Hertl is most likely to score an anytime goal in Sharks vs. Golden Knights.
Our projections give Hertl a 39.7% chance of scoring a goal at T-Mobile Arena, while the star is an 8.2% chance of netting the first goal the game.
Anytime goal scorer predictions
San Jose Sharks
| Player | Anytime Goal Probability |
|---|---|
| Macklin Celebrini | 38.4% |
| Tyler Toffoli | 29.4% |
| William Eklund | 23.1% |
| Collin Graf | 19.5% |
| Adam Gaudette | 19.1% |
Vegas Golden Knights
| Player | Anytime Goal Probability |
|---|---|
| Tomas Hertl | 39.7% |
| Pavel Dorofeyev | 39.0% |
| Mark Stone | 31.5% |
| Ivan Barbashev | 28.3% |
| Mitch Marner | 27.4% |
First goal scorer predictions
San Jose Sharks
| Player | First Goal Probability |
|---|---|
| Macklin Celebrini | 8.1% |
| Tyler Toffoli | 5.5% |
| William Eklund | 4.2% |
| Collin Graf | 3.8% |
| Adam Gaudette | 3.5% |
Vegas Golden Knights
| Player | First Goal Probability |
|---|---|
| Pavel Dorofeyev | 8.3% |
| Tomas Hertl | 8.2% |
| Mark Stone | 6.0% |
| Mitch Marner | 5.6% |
| Ivan Barbashev | 5.3% |
Sharks vs. Golden Knights game-day updates and essential details
Tuesday's game between the Golden Knights and Sharks at T-Mobile Arena is scheduled to commence at 10:00 PM ET.
- Who: San Jose Sharks vs. Vegas Golden Knights
- Date: Tuesday, December 23, 2025
- Time: 10:00 PM ET/7:00PM PT
- Venue: T-Mobile Arena
Conclusion
We predict the Golden Knights, with a 65% win probability, will likely beat the Sharks on Tuesday.
AI and automation have enhanced this article to quickly deliver accurate Sharks vs. Golden Knights insights, with human oversight ensuring high editorial quality. Our predictions are based on up-to-date 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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