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Melbourne Storm vs. South Sydney Rabbitohs prediction: Storm favored to win Saturday's NRL Round 8 matchup [4/25/2026]

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Written by Jason Bevilacqua

Get Melbourne Storm vs South Sydney Rabbitohs predictions for NRL Saturday.

Melbourne Storm-South Sydney Rabbitohs Predictions and Game Preview.
Melbourne Storm vs. South Sydney Rabbitohs NRL prediction for Saturday, April 25, 2026.

The Melbourne Storm and South Sydney Rabbitohs are scheduled to meet in the National Rugby League (NRL) at AAMI Park on Saturday, starting at 6:10 AM ET.

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

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

Storm vs. Rabbitohs prediction: Who will win Round 8 game?

Using trusted machine learning and data, we have simulated the result of Saturday's NRL game between the Rabbitohs and Storm, forming part of our NRL predictions coverage.

Our famous predictive model currently gives the Storm a 68% chance of defeating the Rabbitohs.

According to our model, the Storm (-4.5) have a 56% chance of covering the spread, while the over/under total of 50.5 points has a 55% chance of staying under.

 

Souths vs. Storm odds

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

Bet Type Rabbitohs Storm
H2H (Moneyline) +133 -175
Line (Spread) +4.5 (-115) -4.5 (-115)
Total o50.5 (-112) u50.5 (-114)

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

Rabbitohs vs. Storm 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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