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North QLD Cowboys vs. Melbourne Storm prediction: Why Storm are favored to win Saturday's NRL Round 4 matchup [3/28/2026]

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Written by Jason Bevilacqua

Get North QLD Cowboys vs Melbourne Storm predictions for NRL Saturday.

North QLD Cowboys-Melbourne Storm Predictions and Game Preview.
North QLD Cowboys vs. Melbourne Storm NRL prediction for Saturday, March 28, 2026.

The North QLD Cowboys and Melbourne Storm are scheduled to meet in the National Rugby League (NRL) at Queensland Country Bank Stadium on Saturday, starting at 4:35 AM ET.

Based on the latest simulation results, Dimers' proven NRL model predicts the Storm as the most likely winner of the Storm vs. Cowboys game.

This article offers further insights into Saturday's matchup, including best bets and picks.

Cowboys vs. Storm prediction: Who will win Round 4 game?

Using powerful machine learning and statistical analysis, we have simulated the result of Saturday's NRL game between the Storm and Cowboys, forming part of our NRL predictions coverage.

Our famous predictive model currently gives the Storm an 81% chance of beating the Cowboys.

According to our model, the bookmakers have got it right, and the Storm and Cowboys each have a 50% chance of covering the spread, while the over/under total of 52.5 points has a 61% chance of staying under.

 

Storm vs. Cowboys odds

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

Bet Type Storm Cowboys
H2H (Moneyline) -417 +300
Line (Spread) -13.5 (-120) +13.5 (-105)
Total o52.5 (-120) u52.5 (-105)

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

Storm vs. Cowboys picks and best bet

After matching our probabilities 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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