Blues vs. Predators prediction favors St. Louis to win Saturday's NHL matchup [10/17/2026]

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Written by Jason Bevilacqua

Dimers' simulation model projects a 51.1% win probability for the Blues at Bridgestone Arena.

The St. Louis Blues take on the Nashville Predators in NHL action.
St. Louis Blues vs. Nashville Predators NHL prediction for Saturday, October 17, 2026.

NHL action continues on Saturday at 8:00 PM ET as the St. Louis Blues square off with the Nashville Predators at Bridgestone Arena.

Dimers' proven NHL model gives the Blues a slight edge with a 51.1% win probability over the Predators.

This article offers a complete Blues vs. Predators prediction, including projected goal scorers, best bets and player prop picks.

Blues vs. Predators prediction and odds

Using trusted machine learning and data, we have re-simulated the outcome of Saturday's NHL matchup between the Blues and Predators, forming part of our NHL predictions coverage.

Our leading predictive model currently gives the Blues a 51.1% chance of defeating the Predators. According to our model, the Predators (+1.5) have a 70.3% chance of covering the puck line, while the 6.5-goal over/under has a 56.0% chance of staying under.

 

Latest betting odds

We have researched the best NHL odds in America for this game, which are listed here:

  • Puck Line: Blues -1.5 (+245) / Predators +1.5 (-251)
  • Moneyline: Blues -104, Predators +100
  • Total: Over/Under 6.5 (+120/-125)

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our predictions against the best current odds, we can reveal our picks for each of the major markets in this matchup. Plus, find our best bet for the game below:

  • Puck line: Blues -1.5 @ 29¢ via Novig
  • Moneyline: Blues @ 51¢ via Novig
  • Total: Under 6.5 @ 56¢ via Novig

According to our NHL best bets, the top play to make on this game is Blues -1.5 at the spread.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Blues vs. Predators player props

Who will score a goal in Blues vs. Predators?

According to our model, Steven Stamkos is most likely to score an anytime goal in Blues vs. Predators.

Our projections give Stamkos a 39.0% chance of scoring a goal at Bridgestone Arena, while the star is an 8.3% chance of registering the first goal the game.

Anytime goal scorer predictions

St. Louis Blues

  • Robert Thomas: 33.3% probability
  • Dylan Holloway: 30.2% probability
  • Jimmy Snuggerud: 27.8% probability
  • Mason McTavish: 25.9% probability
  • Pavel Buchnevich: 23.6% probability

Nashville Predators

  • Steven Stamkos: 39.0% probability
  • Filip Forsberg: 35.1% probability
  • Ryan O'Reilly: 25.9% probability
  • Vitali Pinchuk: 23.5% probability
  • Matthew Wood: 20.3% probability

First goal scorer predictions

St. Louis Blues

  • Robert Thomas: 6.5% probability
  • Dylan Holloway: 6.1% probability
  • Jimmy Snuggerud: 5.3% probability
  • Mason McTavish: 5.2% probability
  • Pavel Buchnevich: 4.5% probability

Nashville Predators

  • Steven Stamkos: 8.3% probability
  • Filip Forsberg: 7.1% probability
  • Ryan O'Reilly: 4.8% probability
  • Vitali Pinchuk: 4.8% probability
  • Matthew Wood: 3.6% probability

Game info & puck drop details

Saturday's action between the Predators and Blues at Bridgestone Arena is scheduled to start at 8:00 PM ET.

Conclusion

We predict the Blues, with a 51.1% win probability, will likely beat the Predators in Saturday's NHL matchup.

Additional tools and information for betting safely can be found in our Responsible Gambling hub.

This article's predictions and probabilities are generated by Dimers' proprietary NHL prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.

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Written by
Jason Bevilacqua
Head of Content and Communities

Jason Bevilacqua, an expert in MLB, NHL, NBA, MLS, and NFL, delivers game previews, best bets, and props. Since 2020, as Head of Social and Community at Dimers, he has contributed insightful articles utilizing data-driven models and simulations.

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