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Alejandro Tabilo vs. Tomas Martin Etcheverry prediction, odds, picks for ATP Argentina Open (Abierto Argentino) 2026

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Written by Nick Slade

Get Tabilo vs Etcheverry predictions for ATP Argentina Open (Abierto Argentino).

Alejandro Tabilo vs Tomas Etcheverry Tennis Prediction.
Our Alejandro Tabilo and Tomas Etcheverry tennis prediction is based on thousands of simulations of the upcoming match.

Alejandro Tabilo will face Tomas Martin Etcheverry in the quarterfinals at the ATP Buenos Aires event on Friday.

Based on updated simulation results, Dimers' advanced tennis model projects Tomas Etcheverry as the most likely winner of the Tabilo vs. Etcheverry match.

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

Tabilo vs. Etcheverry prediction: Who will win and advance to the semifinals?

Using innovative machine learning and data, we have simulated the result of Friday's Tabilo-Etcheverry men's singles match 10,000 times as part of our tennis predictions coverage.

Our independent predictive model currently gives Etcheverry a 54% chance of beating Tabilo at the ATP Argentina Open (Abierto Argentino) tournament.

Additionally, Etcheverry has a 52% chance of winning the first set. The simulations also show Tabilo (+2.5) has a 53% chance of covering the games spread, while the under 23.5 games has a 55% chance of hitting**, according to our model.

 

Alejandro Tabilo vs. Tomas Martin Etcheverry odds

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

Bet Type Tabilo Etcheverry
Moneyline +138 -164
First Set +120 -152
Game Spread +2.5 (-124) -2.5 (-108)
Total Games o23.5 (+100) u23.5 (-130)

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

Tabilo vs. Etcheverry 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
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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