Sharks vs. Stars prediction, odds, pick for Nov. 7, 2026

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Written by Dimers Data

Our Sharks vs. Stars predictions include win probabilities, the latest odds, and goal-scorer projections.

Get our Sharks vs. Stars prediction for November 7, 2026, including win probabilities, the latest odds, our pick, and goal-scorer projections.
Sharks vs. Stars prediction and odds for Saturday, November 7, 2026.

The Dallas Stars are favored to beat the San Jose Sharks at American Airlines Center on Saturday (8:00 PM ET), according to Dimers' NHL model.

Our Sharks vs. Stars prediction gives Dallas a 69.1% chance of winning, but the latest odds suggest there's betting value on the Sharks to cover at +1.5.

Sharks vs. Stars key predictions

  • Stars win probability: 69.1%
  • Sharks win probability: 30.9%
  • Sharks +1.5 puck line: 52.8% cover probability
  • Under 6 goals: 50.8% probability
 

Our NHL predictions estimate how many goals each team is likely to score, accounting for factors such as recent performance, shooting and save percentages, home-ice advantage, and rest.

We then calculate the probability of each team winning and covering the puck line, plus the chance the game goes over or under the total, and compare those probabilities with the latest odds to find betting value.

Sharks vs. Stars odds

Here are the best available odds across the moneyline, puck line, and total goals markets we track.

  • Sharks moneyline: 28¢ (Novig)
  • Stars moneyline: 73¢ (Novig)
  • Sharks +1.5: 48¢ (Novig)
  • Stars -1.5: 53¢ (Novig)
  • Over 6 goals: -125 (Caesars Sportsbook)
  • Under 6 goals: +103 (Caesars Sportsbook)

Odds are subject to change and may vary by location.

Sharks vs. Stars pick: Sharks +1.5 (48¢)

Our model makes the Stars the likelier winner, but our best value bet is the Sharks to cover the +1.5 puck line at 48¢ on Novig.

Those odds give the Sharks an implied cover probability of 48.5%, while our model puts it at 52.8%.

That's a 4.3% edge, the largest across the moneyline, puck line, and total goals markets for this game.

 

Sharks vs. Stars goal-scorer predictions

Our NHL player props model simulates each matchup 10,000 times to estimate goal-scoring probabilities, factoring in expected player usage, lineup changes, opponent strength, and projected team goals.

Jason Robertson of the Stars leads the anytime goal-scorer projections for Saturday's game at 42.6%, ahead of teammate Wyatt Johnston (40.4%). San Jose's most likely goal-scorer, Macklin Celebrini, is further back at 35.7%. Robertson also leads the first goal-scorer projections at 9.3%.

Most likely anytime goal-scorers

  1. Jason Robertson (Stars): 42.6%
  2. Wyatt Johnston (Stars): 40.4%
  3. Macklin Celebrini (Sharks): 35.7%
  4. Mikko Rantanen (Stars): 34.6%
  5. Roope Hintz (Stars): 26.8%

First goal-scorer predictions

  1. Jason Robertson (Stars): 9.3%
  2. Wyatt Johnston (Stars): 8.2%
  3. Macklin Celebrini (Sharks): 7.4%
  4. Mikko Rantanen (Stars): 6.8%
  5. Roope Hintz (Stars): 5.7%

These are model probabilities, not betting recommendations. Compare projections with available odds to assess potential value.

Get every Sharks vs. Stars prediction with Dimers Pro

Dimers Pro members get full access to our Sharks vs. Stars predictions, including:

  • Best bets across the moneyline, puck line, and total goals markets
  • Full anytime and first goal-scorer probabilities for players on both teams
  • Player prop edges for anytime goal-scorer, first goal-scorer, shots on goal, points, and assists markets

Sharks vs. Stars game details

About this prediction

This preview uses predictions from our NHL models, presented through a template written by our editorial team. Matchup details fill in automatically.

Predictions are estimates, not guarantees, and can change as new information comes in, such as injury news or starting goaltender confirmations. Learn how our predictions work.

Dimers encourages responsible gambling.

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Written by
Dimers Data

Dimers Data publishes sports predictions and betting insights powered by Dimers' proprietary predictive models. The team develops and maintains the automated publishing systems used to deliver consistent, data-driven coverage across major sports.

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