Devils vs. Stars prediction, odds and best bet for Oct. 27, 2026

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Written by Dimers Data

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

Get our Devils vs. Stars prediction for October 27, 2026, including win probabilities, the latest odds, our best bet, and goal-scorer projections.
Devils vs. Stars prediction and betting analysis for Tuesday, October 27, 2026.

The Dallas Stars are favored to beat the New Jersey Devils on Tuesday, according to Dimers' NHL pregame model.

Our Devils vs. Stars prediction gives Dallas a 55.6% chance of winning at American Airlines Center, with the latest odds also suggesting value in betting on the Stars to win.

Devils vs. Stars: Key predictions

  • Stars win probability: 55.6%
  • Devils win probability: 44.3%
  • Devils +1.5 puck line: 67.0% cover probability
  • Over 5.5 goals: 52.5% probability
 

Dimers' NHL pregame model estimates how many goals each team is likely to score, accounting for factors such as recent form, shooting and save percentages, home-ice advantage, and rest.

These projections power our NHL predictions, which show the probability of each team winning, covering the puck line, and the total goals going over or under the betting line.

Devils vs. Stars odds

Here are the best available odds across the moneyline, puck line, and total goals markets monitored by Dimers.

  • Devils moneyline: 47¢ (Novig)
  • Stars moneyline: -114 (FanDuel)
  • Devils +1.5: 70¢ (Novig)
  • Stars -1.5: 31¢ (Novig)
  • Over 5.5 goals: 51¢ (Novig)
  • Under 5.5 goals: 50¢ (Novig)

Odds are subject to change and may vary by location.

Best value bet: Stars moneyline (-114)

With Dallas favored to beat New Jersey, Dimers' top value bet is the Stars moneyline at -114, available at FanDuel.

Those odds imply the Stars have a 53.3% chance of winning, while our model puts that probability at 55.6%.

That's a 2.4% edge (accounting for rounding) in the Stars' favor, the largest across the moneyline, puck line, and total goals markets based on Dimers' probabilities and the best available odds.

Devils vs. Stars goal-scorer predictions

Unlike our NHL pregame model, Dimers' NHL player props model simulates each matchup 10,000 times to estimate goal-scoring probabilities, factoring in expected player usage, lineup changes, the opposing team, and projected team goals.

Jason Robertson of the Stars leads Tuesday's anytime goal-scorer projections at 42.9%, ahead of teammate Wyatt Johnston (39.5%). New Jersey's most likely goal-scorer, Jack Hughes, is further back at 29.1%. Robertson also leads the first goal-scorer projections at 9.1%.

Most likely anytime goal-scorers

  • Jason Robertson (Stars): 42.9%
  • Wyatt Johnston (Stars): 39.5%
  • Mikko Rantanen (Stars): 32.5%
  • Jack Hughes (Devils): 29.1%
  • Roope Hintz (Stars): 27.5%

First goal-scorer predictions

  • Jason Robertson (Stars): 9.1%
  • Wyatt Johnston (Stars): 8.8%
  • Mikko Rantanen (Stars): 6.8%
  • Jack Hughes (Devils): 5.6%
  • Anthony Mantha (Devils): 4.9%

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

Unlock all Devils vs. Stars predictions with Dimers Pro

Dimers Pro users get full access to our Devils vs. Stars predictions, including:

  • Best bets for the moneyline, puck line, and total goals markets.
  • Full anytime and first goal-scorer probabilities for players on both teams.
  • High-value player props across anytime goal-scorer, first goal-scorer, shots on goal, points, and assists markets.

Devils vs. Stars game details

About this prediction

This preview uses predictions from Dimers' proprietary NHL models, presented through a human-written template. Matchup-specific information is populated automatically.

Predictions are estimates, not guarantees, and may change as new information becomes available. Learn more about how Dimers 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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