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

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

Our independent predictive model currently gives Anisimova an 81% chance of defeating Gibson at the WTA Singapore tournament. Additionally, Anisimova has a 76% chance of winning the first set, while the **over/under of 19.5 games also has an equal 50-50 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 -518, Talia Gibson +400
• 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 predictions against the best current 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 @ +400 via DraftKings
• First Set: Anisimova @ -105 via DraftKings

According to our tennis best bets, the top play to make on this match is over 19.5 total games.

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 81% 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.