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Melbourne Storm vs. New Zealand Warriors prediction: Storm favored to win Saturday's NRL Round 6 matchup [4/11/2026]

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Written by Jason Bevilacqua

Get Melbourne Storm vs New Zealand Warriors predictions for NRL Saturday.

Melbourne Storm-New Zealand Warriors Predictions and Game Preview.
Melbourne Storm vs. New Zealand Warriors NRL prediction for Saturday, April 11, 2026.

The Melbourne Storm will square off with the New Zealand Warriors in National Rugby League (NRL) action at AAMI Park on Saturday, starting at 5:35 AM ET.

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

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

Storm vs. Warriors prediction: Who will win Round 6 game?

Using innovative machine learning and statistical analysis, we have simulated the outcome of Saturday's NRL matchup between the Warriors and Storm, forming part of our NRL predictions coverage.

Our leading predictive model currently gives the Storm a 76% chance of beating the Warriors.

According to our model, the bookmakers have got it right, and the Warriors and Storm each have a 50% chance of covering the spread, while the over/under total of 46.5 points has a 53% chance of going over.

 

Warriors vs. Storm odds

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

Bet Type Warriors Storm
H2H (Moneyline) +235 -312
Line (Spread) +10.5 (-115) -10.5 (-115)
Total o46.5 (-115) u46.5 (-110)

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

Warriors vs. Storm picks and best bet

After matching our probabilities 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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