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St George Illawarra Dragons vs. North QLD Cowboys prediction: Cowboys favored to win Saturday's NRL Round 5 matchup [4/4/2026]

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Written by Jason Bevilacqua

Get St George Illawarra Dragons vs North QLD Cowboys predictions for NRL Saturday.

St George Illawarra Dragons-North QLD Cowboys Predictions and Game Preview.
St George Illawarra Dragons vs. North QLD Cowboys NRL prediction for Saturday, April 4, 2026.

The St George Illawarra Dragons will square off with the North QLD Cowboys in National Rugby League (NRL) action at Jubilee Park on Saturday, commencing at 2:30 AM ET.

Based on the latest simulation results, Dimers' advanced NRL model projects the Cowboys as the most likely winner of the Cowboys vs. Dragons game.

This article offers a closer look at Saturday's matchup, including best bets and picks.

Dragons vs. Cowboys prediction: Who will win Round 5 game?

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

Our independent predictive model gives the Cowboys a 60% chance of defeating the Dragons.

According to our model, the Cowboys (-2.5) have a 55% chance of covering the spread, while the 49.5-point over/under has a 57% chance of staying under.

 

Cowboys vs. St George odds

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

Bet Type Cowboys Dragons
H2H (Moneyline) -143 +112
Line (Spread) -2.5 (-105) +2.5 (-120)
Total o49.5 (-115) u49.5 (-110)

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

Cowboys vs. Dragons 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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