Talia Gibson vs. Amanda Anisimova prediction, odds, picks for WTA Singapore 2026

Using innovative machine learning and data analysis, we have re-simulated the result of Tuesday's Gibson-Anisimova women's singles match, forming part of our tennis predictions coverage.

Our famous predictive model currently gives Anisimova an 80% chance of winning against Gibson at the WTA Singapore tournament. Additionally, Anisimova has a 75% chance of winning the first set, while the over 18.5 games has a 56% chance of hitting, according to our model.

Latest betting odds

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

• Moneyline: Amanda Anisimova -559, Talia Gibson +401
• First Set: Gibson +300, Anisimova -400

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

Model picks and best bet

After matching our probabilities against the best available odds, we can reveal our picks for each of the major markets in this matchup. Plus, find our best bet for the game below:

• Moneyline: Gibson @ +401 via DraftKings
• First Set: Anisimova @ -125 via DraftKings

According to our tennis best bets, the top play to make on this match is Talia Gibson to win the first set.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & first serve details

The WTA Singapore match between Talia Gibson and Amanda Anisimova is scheduled to start on Tuesday at 11:00 PM ET.

• Who: Talia Gibson vs. Amanda Anisimova
• Date: Tuesday, September 22, 2026
• Approx. Time: 11:00 PM ET/8:00PM PT
• Tournament: WTA Singapore, Singapore Women's Singles 2026
• Round: Round of 16

All dates and times mentioned in this article are United States Eastern Time unless otherwise noted.

Conclusion

We predict Amanda Anisimova, with an 80% win probability, will likely beat Talia Gibson at the WTA Singapore tournament.

Additional tools and information for betting safely can be found in our Responsible Gambling hub.

This article's predictions and probabilities are generated by Dimers' proprietary Tennis prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.