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Blue Jackets vs. Sharks prediction: Columbus favored to win Tuesday's NHL matchup [1/6/2026]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get Columbus Blue Jackets vs San Jose Sharks predictions for NHL Tuesday.
The San Jose Sharks and Columbus bluejackets will meet in the NHL at SAP Center at San Jose on Tuesday, with puck drop at 10:00 PM ET.
Based on updated simulation results, Dimers' advanced NHL model predicts the Blue Jackets as the most likely winner of the Blue Jackets vs. Sharks game.
This article offers further insights into Tuesday's matchup, including projected goal scorers, best bets and player prop picks.
Blue Jackets vs. Sharks prediction: Who will win and cover?
Using powerful machine learning and data, we have simulated the outcome of Tuesday's NHL game between the Blue Jackets and Sharks 10,000 times as part of our NHL predictions coverage.
Our leading predictive model gives the Blue Jackets a 56% chance of beating the Sharks.
According to our model, the Sharks (+1.5) have a 66% chance of covering the puck line, while the over/under total of 6.5 goals has an equal 50-50 chance of hitting.
Blue Jackets vs. Sharks odds
We have researched the best NHL odds in America for this game, which are listed here:
| Bet Type | Blue Jackets | Sharks |
|---|---|---|
| Puck Line | -1.5 (+170) | +1.5 (-200) |
| Moneyline | -140 | +120 |
| Total | o6.5 (-130) | u6.5 (+110) |
All odds are correct at the time of publication and are subject to change.
Blue Jackets 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 | -200 |
| Moneyline | Sharks | +120 |
| Total | Under 6.5 | +110 |
According to our NHL best bets, the top play to make on this game is Under 6.5 total goals.
Blue Jackets vs. Sharks player props
Who will score a goal in Blue Jackets vs. Sharks?
According to our model, Pavol Regenda is most likely to score an anytime goal in Blue Jackets vs. Sharks.
Our projections give Regenda a 42.5% chance of scoring a goal at SAP Center at San Jose, while the star is a 9.5% chance of netting the first goal the game.
Anytime goal scorer predictions
Columbus Blue Jackets
| Player | Anytime Goal Probability |
|---|---|
| Adam Fantilli | 35.6% |
| Kirill Marchenko | 35.5% |
| Zach Werenski | 28.4% |
| Dmitri Voronkov | 26.3% |
| Boone Jenner | 25.6% |
San Jose Sharks
| Player | Anytime Goal Probability |
|---|---|
| Pavol Regenda | 42.5% |
| Macklin Celebrini | 39.3% |
| Tyler Toffoli | 27.5% |
| William Eklund | 24.5% |
| Collin Graf | 23.7% |
First goal scorer predictions
Columbus Blue Jackets
| Player | First Goal Probability |
|---|---|
| Kirill Marchenko | 7.1% |
| Adam Fantilli | 6.9% |
| Zach Werenski | 4.9% |
| Boone Jenner | 4.8% |
| Dmitri Voronkov | 4.4% |
San Jose Sharks
| Player | First Goal Probability |
|---|---|
| Pavol Regenda | 9.5% |
| Macklin Celebrini | 8.3% |
| Tyler Toffoli | 5.1% |
| William Eklund | 4.6% |
| Collin Graf | 4.5% |
Blue Jackets vs. Sharks game-day updates and essential details
Tuesday's matchup between the Sharks and Blue Jackets at SAP Center at San Jose is scheduled to start at 10:00 PM ET.
- Who: Columbus Blue Jackets vs. San Jose Sharks
- Date: Tuesday, January 6, 2026
- Time: 10:00 PM ET/7:00PM PT
- Venue: SAP Center at San Jose
Conclusion
We predict the Blue Jackets, with a 56% win probability, will likely beat the Sharks on Tuesday.
AI and automation have enhanced this article to quickly deliver accurate Blue Jackets vs. Sharks insights, with human oversight ensuring high editorial quality. Our predictions are drawn from 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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