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Essendon Bombers vs. Collingwood Magpies prediction: Why Magpies are favored to win Saturday's AFL Round 7 matchup [4/25/2026]

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Written by Jason Bevilacqua

Get Essendon Bombers vs Collingwood Magpies predictions for AFL Saturday.

Essendon Bombers-Collingwood Magpies Predictions and Game Preview.
Essendon Bombers vs. Collingwood Magpies AFL prediction for Saturday, April 25, 2026.

The Essendon Bombers and Collingwood Magpies will lock horns in the Australian Football League (AFL) at Marvel Stadium on Saturday, starting at 1:20 AM ET.

Based on updated simulations, Dimers' proven AFL model predicts the Magpies as the most likely winner of the Magpies vs. Bombers game.

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

Bombers vs. Magpies prediction: Who will win Round 7 game?

Using powerful machine learning and data, we have simulated the outcome of Saturday's AFL matchup between the Magpies and Bombers, forming part of our AFL predictions coverage.

Our famous predictive model currently gives the Magpies a 71% chance of beating the Bombers.

According to our model, the Magpies (-16.5) have a 53% chance of covering the spread, while the 178.5-point over/under has a 51% chance of staying under.

 

Collingwood vs. Essendon odds

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

Bet Type Magpies Bombers
H2H (Moneyline) -244 +190
Line (Spread) -16.5 (-115) +16.5 (-115)
Total o178.5 (-115) u178.5 (-115)

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

Magpies vs. Bombers 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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