Canadiens vs. Jets prediction, odds and best bet for Oct. 25, 2026

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Written by Dimers Data

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

Get our Canadiens vs. Jets prediction for October 25, 2026, including win probabilities, the latest odds, our best bet, and goal-scorer projections.
Canadiens vs. Jets prediction and betting analysis for Sunday, October 25, 2026.

The Montreal Canadiens are favored to beat the Winnipeg Jets on Sunday, according to Dimers' NHL pregame model.

Our Canadiens vs. Jets prediction gives Montreal a 52.0% chance of winning at Princess Auto Stadium, while the latest odds suggest the best betting value lies in under 5.5 goals.

Canadiens vs. Jets: Key predictions

  • Canadiens win probability: 52.0%
  • Jets win probability: 48.0%
  • Jets +1.5 puck line: 69.8% cover probability
  • Over 5.5 goals: 52.9% 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.

Canadiens vs. Jets odds

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

  • Canadiens moneyline: 53¢ (Novig)
  • Jets moneyline: 48¢ (Novig)
  • Canadiens -1.5: 31¢ (Novig)
  • Jets +1.5: 70¢ (Novig)
  • Over 5.5 goals: 54¢ (Novig)
  • Under 5.5 goals: 46¢ (Novig)

Odds are subject to change and may vary by location.

Best value bet: Under 5.5 (46¢)

The Canadiens may be more likely to win, but Dimers' top value bet is under 5.5 total goals at 46¢, available at Novig.

Those odds imply a 46.5% chance of the game finishing under 5.5 goals, while our model puts that probability at 47.1%.

That's a 0.6% edge on the under, the largest across the moneyline, puck line, and total goals markets based on Dimers' probabilities and the best available odds.

Canadiens vs. Jets 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.

Cole Caufield of the Canadiens leads Sunday's anytime goal-scorer projections at 43.5%, followed by Winnipeg's Kyle Connor (41.1%). Caufield also leads the first goal-scorer projections at 9.8%.

Most likely anytime goal-scorers

  • Cole Caufield (Canadiens): 43.5%
  • Kyle Connor (Jets): 41.1%
  • Mark Scheifele (Jets): 33.6%
  • Gabriel Vilardi (Jets): 30.8%
  • Juraj Slafkovsky (Canadiens): 27.1%

First goal-scorer predictions

  • Cole Caufield (Canadiens): 9.8%
  • Kyle Connor (Jets): 8.7%
  • Mark Scheifele (Jets): 6.8%
  • Gabriel Vilardi (Jets): 6.0%
  • Cole Perfetti (Jets): 5.1%

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

Unlock all Canadiens vs. Jets predictions with Dimers Pro

Get the complete picture for Sunday's matchup with Dimers Pro, 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.

See our full range of Canadiens vs. Jets predictions.

Canadiens vs. Jets 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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