Predators vs. Penguins prediction, odds and best bet for Oct. 24, 2026

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Written by Dimers Data

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

Get our Predators vs. Penguins prediction for October 24, 2026, including win probabilities, the latest odds, our best bet, and goal-scorer projections.
Predators vs. Penguins prediction and betting analysis for Saturday, October 24, 2026.

The Pittsburgh Penguins are favored to beat the Nashville Predators on Saturday, according to Dimers' NHL pregame model.

Our Predators vs. Penguins prediction gives Pittsburgh a 54.8% chance of winning at PPG Paints Arena, with the latest odds also suggesting value in betting on the Penguins to win.

Predators vs. Penguins: Key predictions

  • Penguins win probability: 54.8%
  • Predators win probability: 45.2%
  • Under 6.5 goals: 52.2% 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.

Predators vs. Penguins odds

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

  • Predators moneyline: 47¢ (Novig)
  • Penguins moneyline: 53¢ (Novig)
  • Over 6.5 goals: 50¢ (Novig)
  • Under 6.5 goals: 51¢ (Novig)

Odds are subject to change and may vary by location.

Best value bet: Penguins moneyline (53¢)

With Pittsburgh favored to beat Nashville, Dimers' top value bet is the Penguins moneyline at 53¢, available at Novig.

Those odds imply the Penguins have a 53.5% chance of winning, while our model puts that probability at 54.8%.

That's a 1.3% edge in the Penguins' favor, the largest across the moneyline, puck line, and total goals markets based on Dimers' probabilities and the best available odds.

Predators vs. Penguins 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.

Sidney Crosby of the Penguins leads Saturday's anytime goal-scorer projections at 37.2%, followed by Nashville's Filip Forsberg (36.1%). Crosby also leads the first goal-scorer projections at 7.2%.

Most likely anytime goal-scorers

  • Sidney Crosby (Penguins): 37.2%
  • Filip Forsberg (Predators): 36.1%
  • Steven Stamkos (Predators): 36.0%
  • Rickard Rakell (Penguins): 35.7%
  • Avery Hayes (Penguins): 33.4%

First goal-scorer predictions

  • Sidney Crosby (Penguins): 7.2%
  • Rickard Rakell (Penguins): 7.1%
  • Filip Forsberg (Predators): 6.7%
  • Steven Stamkos (Predators): 6.5%
  • Avery Hayes (Penguins): 6.4%

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

Unlock all Predators vs. Penguins predictions with Dimers Pro

Get the complete picture for Saturday'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 Predators vs. Penguins predictions.

Predators vs. Penguins 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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