Rangers vs. Canucks prediction, odds, pick for Nov. 13, 2026

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Written by Dimers Data

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

Get our Rangers vs. Canucks prediction for November 13, 2026, including win probabilities, the latest odds, our pick, and goal-scorer projections.
Rangers vs. Canucks prediction and odds for Friday, November 13, 2026.

The New York Rangers are favored to beat the Vancouver Canucks at Rogers Arena on Friday (9:00 PM ET), according to Dimers' NHL model.

Our Rangers vs. Canucks prediction gives New York a 64.1% chance of getting the W, but the latest odds suggest there's betting value on Canucks to cover at +1.5.

Rangers vs. Canucks key predictions

  • Rangers win probability: 64.1%
  • Canucks win probability: 35.9%
  • Canucks +1.5 puck line: 58.1% cover probability
  • Under 6.5 goals: 53.7% 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.

Rangers vs. Canucks odds

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

  • Rangers moneyline: 66¢ (Novig)
  • Canucks moneyline: +190 (Caesars Sportsbook)
  • Rangers -1.5: 45¢ (Novig)
  • Canucks +1.5: 56¢ (Novig)
  • Over 6.5 goals: 48¢ (Novig)
  • Under 6.5 goals: 53¢ (Novig)

Odds are subject to change and may vary by location.

Rangers vs. Canucks pick: Canucks +1.5 (56¢)

Our model makes the Rangers the likelier winner, but our best value bet is the Canucks to cover the +1.5 puck line at 56¢ on Novig.

Those odds give Canucks an implied cover probability of 56.0%, while our model rates it at 58.1%.

That's a 2.1% edge, the largest across the moneyline, puck line, and total goals markets.

 

Rangers vs. Canucks goal-scorer predictions

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

Pavel Dorofeyev of the Rangers leads the anytime goal-scorer projections for Friday's game at 35.6%, ahead of teammate Mika Zibanejad (34.9%). Vancouver's most likely goal-scorer, Brock Boeser, follows at 32.3%. Dorofeyev also leads the first goal-scorer projections at 7.0%.

Most likely anytime goal-scorers

  1. Pavel Dorofeyev (Rangers): 35.6%
  2. Mika Zibanejad (Rangers): 34.9%
  3. Brock Boeser (Canucks): 32.3%
  4. Alexis Lafreniere (Rangers): 31.0%
  5. Jake DeBrusk (Canucks): 28.2%

First goal-scorer predictions

  1. Pavel Dorofeyev (Rangers): 7.0%
  2. Mika Zibanejad (Rangers): 6.6%
  3. Brock Boeser (Canucks): 6.5%
  4. Alexis Lafreniere (Rangers): 6.4%
  5. Jake DeBrusk (Canucks): 5.1%

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

Get every Rangers vs. Canucks prediction with Dimers Pro

Dimers Pro members get full access to our Rangers vs. Canucks 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

Rangers vs. Canucks 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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