Canadiens vs. Bruins prediction, odds, pick for Nov. 12, 2026

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Written by Dimers Data

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

Get our Canadiens vs. Bruins prediction for November 12, 2026, including win probabilities, the latest odds, our pick, and goal-scorer projections.
Canadiens vs. Bruins prediction and odds for Thursday, November 12, 2026.

The Boston Bruins are favored to beat the Montreal Canadiens at TD Garden on Thursday (7:00 PM ET), according to Dimers' NHL model.

Our Canadiens vs. Bruins prediction gives Boston a 53.2% chance of winning, while the latest odds suggest there's betting value on the under 6.5 goals.

Canadiens vs. Bruins key predictions

  • Bruins win probability: 53.2%
  • Canadiens win probability: 46.8%
  • Canadiens +1.5 puck line: 68.3% cover probability
  • Under 6.5 goals: 55.6% 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.

Canadiens vs. Bruins odds

These are the best available odds across the moneyline, puck line, and total goals markets. Novig has the best price in every market for this game.

  • Canadiens moneyline: 48¢ (Novig)
  • Bruins moneyline: 53¢ (Novig)
  • Canadiens +1.5: 68¢ (Novig)
  • Bruins -1.5: 33¢ (Novig)
  • Over 6.5 goals: 46¢ (Novig)
  • Under 6.5 goals: 54¢ (Novig)

Odds are subject to change and may vary by location.

Canadiens vs. Bruins pick: Under 6.5 (54¢)

Our model makes the Bruins the more likely winner, but our best value bet is the under 6.5 total goals at 54¢ on Novig.

Those odds give the under an implied probability of 54.0%, while our model puts it at 55.6%.

That's a 1.6% edge, the largest across the moneyline, puck line, and total goals markets.

 

Canadiens vs. Bruins 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.

Cole Caufield of the Canadiens leads the anytime goal-scorer projections for Thursday's game at 38.8%, followed by Boston's David Pastrnak (34.2%). Caufield also leads the first goal-scorer projections at 7.9%.

Most likely anytime goal-scorers

  1. Cole Caufield (Canadiens): 38.8%
  2. David Pastrnak (Bruins): 34.2%
  3. Morgan Geekie (Bruins): 31.3%
  4. Pavel Zacha (Bruins): 30.4%
  5. JJ Peterka (Bruins): 29.2%

First goal-scorer predictions

  1. Cole Caufield (Canadiens): 7.9%
  2. David Pastrnak (Bruins): 6.7%
  3. Pavel Zacha (Bruins): 6.1%
  4. Morgan Geekie (Bruins): 6.0%
  5. JJ Peterka (Bruins): 5.7%

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

Get every Canadiens vs. Bruins prediction with Dimers Pro

Dimers Pro members get full access to our Canadiens vs. Bruins 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

Canadiens vs. Bruins 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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