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Rangers vs. Golden Knights prediction: Vegas favored to win Tuesday's NHL matchup [11/18/2025]
Updated: | First published:
Written by Jason Bevilacqua, Head of Content and Communities
Get NY Rangers vs Vegas Golden Knights predictions for NHL Tuesday.
The Vegas Golden Knights will take on the NY Rangers in NHL action at T-Mobile Arena on Tuesday, starting at 10:00PM ET.
Based on updated simulation results, Dimers' advanced NHL model predicts the Golden Knights as the most likely winner of the Rangers vs. Golden Knights game.
This article offers further insights into Tuesday's matchup, including projected goal scorers, best bets and player prop picks.
Rangers vs. Golden Knights prediction: Who will win and cover?
Using innovative machine learning and data analysis, we have simulated the outcome of Tuesday's NHL game between the Rangers and Golden Knights 10,000 times as part of our NHL predictions coverage.
Our independent predictive model gives the Golden Knights a 55% chance of beating the Rangers.
According to our model, the Rangers (+1.5) have a 66% chance of covering the puck line, while the 5.5-goal over/under has a 52% chance of going over.
Rangers vs. Golden Knights odds
We have sourced the best NHL odds in America for this game, which are listed here:
| Bet Type | Rangers | Golden Knights |
|---|---|---|
| Puck Line | +1.5 (-210) | -1.5 (+176) |
| Moneyline | +115 | -138 |
| Total | o5.5 (-118) | u5.5 (-102) |
All odds are correct at the time of publication and are subject to change.
Rangers vs. Golden Knights picks and best bet
After matching our predictions against the best current odds, we can reveal our picks for each of the major markets. Plus, find our best bet for the game below:
| Bet Type | Pick | Bet Now |
|---|---|---|
| Puck Line | Golden Knights -1.5 | +176 |
| Moneyline | Rangers | +115 |
| Total | Over 5.5 | -118 |
According to our NHL best bets, the top play to make on this game is Golden Knights -1.5 at the spread.
Rangers vs. Golden Knights player props
Who will score a goal in Rangers vs. Golden Knights?
According to our model, Pavel Dorofeyev is most likely to score an anytime goal in Rangers vs. Golden Knights.
Our projections give Dorofeyev a 37.8% chance of scoring a goal at T-Mobile Arena, while the star is a 7.7% chance of netting the first goal the game.
Anytime goal scorer predictions
NY Rangers
| Player | Anytime Goal Probability |
|---|---|
| Artemi Panarin | 32.0% |
| J.T. Miller | 26.6% |
| Mika Zibanejad | 25.2% |
| Will Cuylle | 24.6% |
| Vincent Trocheck | 21.9% |
Vegas Golden Knights
| Player | Anytime Goal Probability |
|---|---|
| Pavel Dorofeyev | 37.8% |
| Jack Eichel | 35.1% |
| Tomas Hertl | 34.2% |
| Ivan Barbashev | 26.2% |
| Mitch Marner | 25.6% |
First goal scorer predictions
NY Rangers
| Player | First Goal Probability |
|---|---|
| Artemi Panarin | 6.7% |
| J.T. Miller | 5.1% |
| Mika Zibanejad | 5.0% |
| Will Cuylle | 4.2% |
| Vincent Trocheck | 3.9% |
Vegas Golden Knights
| Player | First Goal Probability |
|---|---|
| Pavel Dorofeyev | 7.7% |
| Jack Eichel | 7.1% |
| Tomas Hertl | 6.4% |
| Mitch Marner | 5.2% |
| Ivan Barbashev | 5.1% |
Rangers vs. Golden Knights game-day updates and essential details
Tuesday's action between the Golden Knights and Rangers at T-Mobile Arena is scheduled to commence at 10:00PM ET.
- Who: NY Rangers vs. Vegas Golden Knights
- Date: Tuesday, November 18, 2025
- Time: 10:00PM ET/7:00PM PT
- Venue: T-Mobile Arena
Conclusion
We predict the Golden Knights, with a 55% win probability, will likely beat the Rangers on Tuesday.
AI and automation have enhanced this article to quickly deliver accurate Rangers vs. Golden Knights insights, with human oversight ensuring high editorial quality. Our predictions are based on the latest data to help you make informed decisions. For additional resources and advice on responsible gambling, please call 1-800-GAMBLER.
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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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