Blues vs. Stars prediction favors Dallas to win Friday's NHL matchup [10/2/2026]

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Written by Jason Bevilacqua

Dimers' simulation model projects a 59.1% win probability for the Stars at American Airlines Center.

The St. Louis Blues take on the Dallas Stars in NHL action.
St. Louis Blues vs. Dallas Stars NHL prediction for Friday, October 2, 2026.

The Dallas Stars will square off with the St. Louis Blues in NHL action at American Airlines Center on Friday, starting at 9:00 PM ET.

Dimers' advanced NHL model projects the Stars as the most likely winner in this Blues vs. Stars prediction.

This article offers a closer look at Friday's matchup, including projected goal scorers, best bets and player prop picks.

Blues vs. Stars prediction and odds

Using trusted machine learning and statistical analysis, we have re-simulated the outcome of Friday's NHL matchup between the Blues and Stars, forming part of our NHL predictions coverage.

Our famous predictive model gives the Stars a 59.1% chance of defeating the Blues. According to our model, the Blues (+1.5) have a 63.1% chance of covering the puck line, while the over/under total of 5.5 goals has a 53.9% chance of going over.

 

Latest betting odds

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

  • Puck Line: Blues +1.5 (-155) / Stars -1.5 (+150)
  • Moneyline: Blues +163, Stars -175
  • Total: Over/Under 5.5 (-125/+114)

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 available 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 @ -155 via BetMGM
  • Moneyline: Blues @ +163 via BetRivers
  • Total: Under 5.5 @ +114 via DraftKings

According to our NHL best bets, the top play to make on this game is Blues to win.

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

Blues vs. Stars player props

Who will score a goal in Blues vs. Stars?

According to our model, Wyatt Johnston is most likely to score an anytime goal in Blues vs. Stars.

Our projections give Johnston a 40.3% chance of scoring a goal at American Airlines Center, while the star is an 8.5% chance of netting the first goal the game.

Anytime goal scorer predictions

St. Louis Blues

  • Dylan Holloway: 31.3% probability
  • Robert Thomas: 29.9% probability
  • Jimmy Snuggerud: 23.2% probability
  • Pavel Buchnevich: 21.4% probability
  • Mason McTavish: 19.6% probability

Dallas Stars

  • Wyatt Johnston: 40.3% probability
  • Jason Robertson: 38.8% probability
  • Mikko Rantanen: 30.3% probability
  • Roope Hintz: 23.8% probability
  • Tyler Seguin: 22.6% probability

First goal scorer predictions

St. Louis Blues

  • Dylan Holloway: 5.9% probability
  • Robert Thomas: 5.4% probability
  • Jimmy Snuggerud: 4.6% probability
  • Pavel Buchnevich: 3.9% probability
  • Mason McTavish: 3.5% probability

Dallas Stars

  • Wyatt Johnston: 8.5% probability
  • Jason Robertson: 8.1% probability
  • Mikko Rantanen: 6.1% probability
  • Roope Hintz: 4.4% probability
  • Tyler Seguin: 4.2% probability

Game info & puck drop details

Friday's matchup between the Stars and Blues at American Airlines Center is scheduled to begin at 9:00 PM ET.

Conclusion

We predict the Stars, with a 59.1% win probability, will likely beat the Blues in Friday'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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