Flyers vs. Rangers prediction, odds, pick for Nov. 5, 2026

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Written by Dimers Data

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

Get our Flyers vs. Rangers prediction for November 5, 2026, including win probabilities, the latest odds, our pick, and goal-scorer projections.
Flyers vs. Rangers prediction and odds for Thursday, November 5, 2026.

The New York Rangers are favored to beat the Philadelphia Flyers at Madison Square Garden on Thursday (7:00 PM ET), according to Dimers' NHL model.

Our Flyers vs. Rangers prediction gives New York a 57.7% chance of winning, but the latest odds suggest there's betting value on the Flyers as the underdog.

Flyers vs. Rangers key predictions

  • Rangers win probability: 57.7%
  • Flyers win probability: 42.3%
  • Flyers +1.5 puck line: 65.2% cover probability
  • Over 5.5 goals: 53.0% 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.

Flyers vs. Rangers odds

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

  • Flyers moneyline: 42¢ (Novig)
  • Rangers moneyline: 59¢ (Novig)
  • Flyers +1.5: 65¢ (Novig)
  • Rangers -1.5: 36¢ (Novig)
  • Over 5.5 goals: -122 (FanDuel)
  • Under 5.5 goals: +110 (DraftKings)

Odds are subject to change and may vary by location.

Flyers vs. Rangers pick: Flyers moneyline (42¢)

Our model makes the Rangers the likelier winner, but our best value bet is the Flyers moneyline at 42¢ on Novig.

Those odds give the Flyers an implied win probability of 42.0%, while our model puts it at 42.3%.

That's a 0.3% edge, the largest across the moneyline, puck line, and total goals markets for this game.

 

Flyers vs. Rangers 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.

Pavel Dorofeyev of the Rangers leads the anytime goal-scorer projections for Thursday's game at 33.5%, ahead of teammate Mika Zibanejad (32.5%). Philadelphia's most likely goal-scorer, Matvei Michkov, is further back at 26.8%. Dorofeyev also leads the first goal-scorer projections at 6.9%.

Most likely anytime goal-scorers

  1. Pavel Dorofeyev (Rangers): 33.5%
  2. Mika Zibanejad (Rangers): 32.5%
  3. Alexis Lafreniere (Rangers): 31.0%
  4. Matvei Michkov (Flyers): 26.8%
  5. J.T. Miller (Rangers): 23.9%

First goal-scorer predictions

  1. Pavel Dorofeyev (Rangers): 6.9%
  2. Mika Zibanejad (Rangers): 6.8%
  3. Alexis Lafreniere (Rangers): 6.5%
  4. Matvei Michkov (Flyers): 5.3%
  5. Trevor Zegras (Flyers): 4.5%

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

Get every Flyers vs. Rangers prediction with Dimers Pro

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

Flyers vs. Rangers 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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