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St George Illawarra Dragons vs. Sydney Roosters prediction: Roosters favored to win Saturday's NRL Round 8 matchup [4/25/2026]

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Written by Jason Bevilacqua

Get St George Illawarra Dragons vs Sydney Roosters predictions for NRL Saturday.

St George Illawarra Dragons-Sydney Roosters Predictions and Game Preview.
St George Illawarra Dragons vs. Sydney Roosters NRL prediction for Saturday, April 25, 2026.

The St George Illawarra Dragons and Sydney Roosters will lock horns in the National Rugby League (NRL) at Allianz Stadium on Saturday, starting at 2:00 AM ET.

Based on updated simulations, Dimers' proven NRL model projects the Roosters as the most likely winner of the Roosters vs. Dragons game.

This article offers an expanded analysis of Saturday's matchup, including best bets and picks.

Dragons vs. Roosters prediction: Who will win Round 8 game?

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

Our independent predictive model currently gives the Roosters an 84% chance of beating the Dragons.

According to our model, the Dragons (+16.5) have a 51% chance of covering the spread, while the over/under total of 52.5 points has a 54% chance of staying under.

 

Roosters vs. St George odds

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

Bet Type Roosters Dragons
H2H (Moneyline) -714 +450
Line (Spread) -16.5 (-110) +16.5 (-120)
Total o52.5 (-109) u52.5 (-115)

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

Roosters 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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