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Fremantle Dockers vs. Richmond Tigers prediction: Dockers favored to win Saturday's AFL Round 3 matchup [3/28/2026]

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Written by Jason Bevilacqua

Get Fremantle Dockers vs Richmond Tigers predictions for AFL Saturday.

Fremantle Dockers-Richmond Tigers Predictions and Game Preview.
Fremantle Dockers vs. Richmond Tigers AFL prediction for Saturday, March 28, 2026.

The Fremantle Dockers will take on the Richmond Tigers in Australian Football League (AFL) action at Optus Stadium on Saturday, commencing at 1:15 AM ET.

Based on updated simulation results, Dimers' advanced AFL model projects the Dockers as the most likely winner of the Tigers vs. Dockers game.

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

Dockers vs. Tigers prediction: Who will win Round 3 game?

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

Our independent predictive model currently gives the Dockers a 95% chance of defeating the Tigers.

According to our model, the Dockers (-53.5) have a 55% chance of covering the spread, while the over/under total of 165.5 points has a 52% chance of going over.

 

Richmond vs. Fremantle odds

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

Bet Type Tigers Dockers
H2H (Moneyline) +1200 -5000
Line (Spread) +53.5 (-115) -53.5 (-115)
Total o165.5 (-115) u165.5 (-115)

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

Tigers vs. Dockers 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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