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Karolina Pliskova vs. Maria Sakkari prediction, odds, picks for WTA Madrid Open 2026

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Written by Nick Slade

Get Pliskova vs Sakkari predictions for WTA Madrid Open.

Karolina Pliskova vs Maria Sakkari Tennis Prediction.
Our Karolina Pliskova and Maria Sakkari tennis prediction is based on thousands of simulations of the upcoming match.

Karolina Pliskova and Maria Sakkari will meet in the round of 64 of the WTA Madrid Open event on Friday.

Based on the latest simulations, Dimers' proven tennis model projects Maria Sakkari as the most likely winner of the Pliskova vs. Sakkari match.

This article offers an expanded analysis of Friday's match, including best bets and picks.

Pliskova vs. Sakkari prediction: Who will win and advance to the round of 32?

Using powerful machine learning and data, we have simulated the outcome of Friday's Pliskova-Sakkari women's singles match, forming part of our tennis predictions coverage.

Our famous predictive model currently gives Sakkari a 55% chance of defeating Pliskova at the WTA Madrid Open tournament.

Additionally, Sakkari has a 54% chance of winning the first set. The simulations also show Pliskova (+2.5) has a 53% chance of covering the games spread, while the over 21.5 games has a 51% chance of hitting, according to our model.

 

Karolina Pliskova vs. Maria Sakkari odds

We have sourced the most up-to-date betting odds in America for this match, which are listed here:

Bet Type Pliskova Sakkari
Moneyline +123 -145
First Set +110 -139
Game Spread +2.5 (-122) -2.5 (-110)
Total Games o21.5 (-110) u21.5 (-110)

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

Pliskova vs. Sakkari 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
Nick Slade
Chief Content Officer

Nick Slade, with nearly two decades of experience, is the Chief Content Officer at Cipher Sports Technology Group, overseeing content for Dimers. He specializes in soccer, NBA, and NHL betting, leveraging predictive analytics and machine learning to provide accurate betting insights.

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