Tatiana Prozorova vs. Alexandra Eala prediction, odds, picks for WTA Singapore 2026

Using innovative machine learning and statistical analysis, we have re-simulated the result of Wednesday's Prozorova-Eala women's singles match, forming part of our tennis predictions coverage.

Our leading predictive model gives Eala an 82% chance of beating Prozorova at the WTA Singapore tournament. Additionally, Eala has a 76% 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: Alexandra Eala -552, Tatiana Prozorova +460
• First Set: Prozorova +300, Eala -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: Prozorova @ +460 via DraftKings
• First Set: Eala @ -125 via DraftKings

According to our tennis best bets, the top play to make on this match is Tatiana Prozorova 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 Tatiana Prozorova and Alexandra Eala is scheduled to commence on Wednesday at 11:00 PM ET.

• Who: Tatiana Prozorova vs. Alexandra Eala
• Date: Wednesday, September 23, 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 stated.

Conclusion

We predict Alexandra Eala, with an 82% win probability, will likely beat Tatiana Prozorova 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.