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Manly Sea Eagles vs. Sydney Roosters prediction: Why Roosters are favored to win Thursday's NRL Round 4 matchup [3/26/2026]

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Written by Jason Bevilacqua

Get Manly Sea Eagles vs Sydney Roosters predictions for NRL Thursday.

Manly Sea Eagles-Sydney Roosters Predictions and Game Preview.
Manly Sea Eagles vs. Sydney Roosters NRL prediction for Thursday, March 26, 2026.

The Manly Sea Eagles will square off with the favored Sydney Roosters in National Rugby League (NRL) action at Brookvale Oval on Thursday, starting at 5:00 AM ET.

Based on updated simulation results, Dimers' advanced NRL model projects the Roosters as the most likely winner of the Roosters vs. Sea Eagles game.

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

Sea Eagles vs. Roosters prediction: Who will win Round 4 game?

Using powerful machine learning and data analysis, we have simulated the result of Thursday's NRL matchup between the Roosters and Sea Eagles, forming part of our NRL predictions coverage.

Our independent predictive model currently gives the Roosters a 69% chance of beating the Sea Eagles.

According to our model, the Roosters (-6.5) have a 55% chance of covering the spread, while the 43.5-point over/under has a 59% chance of going over.

 

Roosters vs. Manly odds

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

Bet Type Roosters Sea Eagles
H2H (Moneyline) -208 +160
Line (Spread) -6.5 (-105) +6.5 (-120)
Total o43.5 (-105) u43.5 (-120)

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

Roosters vs. Sea Eagles picks and best bet

After matching our predictions against the best available 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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