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Andrey Rublev vs. Nuno Borges prediction, odds, picks for ATP Hong Kong 2026

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Written by Nick Slade

Get Rublev vs Borges predictions for ATP Hong Kong.

Andrey Rublev vs Nuno Borges Tennis Prediction.
Our Andrey Rublev and Nuno Borges tennis prediction is based on thousands of simulations of the upcoming match.

Andrey Rublev and Nuno Borges will meet in the quarterfinals of the ATP Hong Kong event on Friday.

Based on the latest simulations, Dimers' advanced tennis model projects Andrey Rublev as the most likely winner of the Rublev vs. Borges match.

This article offers further insights into Friday's match, including best bets and picks.

Rublev vs. Borges prediction: Who will win and advance to the semifinals?

Using trusted machine learning and data analysis, we have simulated the outcome of Friday's Rublev-Borges men's singles match 10,000 times as part of our tennis predictions coverage.

Our independent predictive model gives Rublev a 63% chance of defeating Borges at the ATP Hong Kong tournament.

Additionally, Rublev has a 62% chance of winning the first set. The simulations also show Rublev (-2.5) has a 53% chance of covering the games spread, while the under 22.5 games has a 51% chance of hitting, according to our model.

 

Andrey Rublev vs. Nuno Borges odds

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

Bet Type Rublev Borges
Moneyline -190 +175
First Set -189 +150
Game Spread +2.5 (-110) -2.5 (-120)
Total Games o22.5 (-126) u22.5 (-106)

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

Rublev vs. Borges 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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