Mammoth vs. Penguins prediction, odds, pick for Oct. 29, 2026

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Written by Dimers Data

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

Get our Mammoth vs. Penguins prediction for October 29, 2026, including win probabilities, the latest odds, our pick, and goal-scorer projections.
Mammoth vs. Penguins prediction and odds for Thursday, October 29, 2026.

The Utah Mammoth are favored to beat the Pittsburgh Penguins at PPG Paints Arena on Thursday (7:00 PM ET), according to Dimers' NHL model.

Our Mammoth vs. Penguins prediction gives Utah a 52.6% chance of winning, while the latest odds suggest the best betting value is on the under 6.5 goals.

Mammoth vs. Penguins key predictions

  • Mammoth win probability: 52.6%
  • Penguins win probability: 47.3%
  • Penguins +1.5 puck line: 68.2% cover probability
  • Over 6.5 goals: 50.7% 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.

Mammoth vs. Penguins odds

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

  • Mammoth moneyline: 55¢ (Novig)
  • Penguins moneyline: 46¢ (Novig)
  • Mammoth -1.5: 34¢ (Novig)
  • Penguins +1.5: 66¢ (Novig)
  • Over 6.5 goals: 57¢ (Novig)
  • Under 6.5 goals: 44¢ (Novig)

Odds are subject to change and may vary by location.

Mammoth vs. Penguins pick: Under 6.5 (44¢)

Our model makes the Mammoth the likelier winner, but our best value bet is the under 6.5 total goals at 44¢ on Novig.

Those odds give the under an implied probability of 44.0%, while our model puts it at 49.3%.

That's a 5.3% edge, the largest across the moneyline, puck line, and total goals markets for this game.

Mammoth vs. Penguins 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.

Dylan Guenther of the Mammoth leads the anytime goal-scorer projections for Thursday's game at 37.5%, followed by Pittsburgh's Sidney Crosby (33.6%). Guenther also leads the first goal-scorer projections at 7.0%.

Most likely anytime goal-scorers

  1. Dylan Guenther (Mammoth): 37.5%
  2. Sidney Crosby (Penguins): 33.6%
  3. Rickard Rakell (Penguins): 31.2%
  4. Logan Cooley (Mammoth): 30.8%
  5. Nick Schmaltz (Mammoth): 28.8%

First goal-scorer predictions

  1. Dylan Guenther (Mammoth): 7.0%
  2. Sidney Crosby (Penguins): 6.6%
  3. Logan Cooley (Mammoth): 5.6%
  4. Rickard Rakell (Penguins): 5.3%
  5. Clayton Keller (Mammoth): 5.2%

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

Get every Mammoth vs. Penguins prediction with Dimers Pro

Dimers Pro members get full access to our Mammoth vs. Penguins 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

Mammoth vs. Penguins 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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