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Senators vs. Oilers prediction: Why Edmonton is favored to win Tuesday's NHL matchup [3/3/2026]

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Written by Jason Bevilacqua

Get Ottawa Senators vs Edmonton Oilers predictions for NHL Tuesday.

Ottawa Senators-Edmonton Oilers Predictions and Game Preview.
Ottawa Senators vs. Edmonton Oilers NHL prediction for Tuesday, March 3, 2026.

The Edmonton Oilers will square off with the Ottawa Senators, in what is expected to be a tight NHL game, at Rogers Place on Tuesday, starting at 9:00 PM ET.

Based on the latest simulation results, Dimers' advanced NHL model gives the Oilers a slight edge with a 53% win probability over the Senators.

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

Senators vs. Oilers prediction: Who will win and cover?

Using innovative machine learning and data, we have simulated the result of Tuesday's NHL matchup between the Senators and Oilers 10,000 times as part of our NHL predictions coverage.

Our independent predictive model currently gives the Oilers a 53% chance of beating the Senators.

According to our model, the Senators (+1.5) have a 67% chance of covering the puck line, while the 6.5-goal over/under has an equal 50-50 chance of hitting.

 

Senators vs. Oilers odds

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

Bet Type Senators Oilers
Puck Line +1.5 (-220) -1.5 (+194)
Moneyline +105 -122
Total o6.5 (-125) u6.5 (+105)

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

Senators vs. Oilers 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:

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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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