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Canterbury Bulldogs vs. Newcastle Knights prediction: Bulldogs favored to win Saturday's NRL Round 4 matchup [3/28/2026]

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Written by Jason Bevilacqua

Get Canterbury Bulldogs vs Newcastle Knights predictions for NRL Saturday.

Canterbury Bulldogs-Newcastle Knights Predictions and Game Preview.
Canterbury Bulldogs vs. Newcastle Knights NRL prediction for Saturday, March 28, 2026.

The Canterbury Bulldogs and Newcastle Knights will meet in the National Rugby League (NRL) at Stadium Australia on Saturday, starting at 12:00 AM ET.

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

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

Bulldogs vs. Knights prediction: Who will win Round 4 game?

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

Our famous predictive model gives the Bulldogs an 82% chance of defeating the Knights.

According to our model, the Bulldogs (-12.5) have a 55% chance of covering the spread, while the 46.5-point over/under has a 52% chance of staying under.

 

Knights vs. Bulldogs odds

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

Bet Type Knights Bulldogs
H2H (Moneyline) +300 -435
Line (Spread) +12.5 (-115) -12.5 (-115)
Total o46.5 (-108) u46.5 (-120)

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

Knights vs. Bulldogs 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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