Lilli Tagger vs. Venus Williams prediction, odds, picks for WTA Guangzhou Open 2026
Get Tagger vs Williams predictions for WTA Guangzhou Open.

Lilli Tagger will square off with Venus Williams in the round of 32 at the WTA Guangzhou event on Sunday.
Dimers' advanced tennis model projects Lilli Tagger as the most likely winner in this Tagger vs. Williams prediction.
This article offers further insights into Sunday's match, including best bets and picks.
Tagger vs. Williams prediction and odds
Our famous predictive model gives Tagger a 90% chance of beating Williams at the WTA Guangzhou Open tournament.
Latest betting odds
We have sourced the most up-to-date betting odds in America for this match, which are listed here:
- Moneyline: Venus Williams +1080, Lilli Tagger -1667
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 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: Williams @ +1080 via DraftKings
- First Set: Williams @ +110 via DraftKings
According to our best tennis bets, the top play to make on this match is Venus Williams 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 Guangzhou Open match between Lilli Tagger and Venus Williams is scheduled to begin on Sunday at 11:00 PM ET.
- Who: Lilli Tagger vs. Venus Williams
- Date: Sunday, October 25, 2026
- Approx. Time: 11:00 PM ET/8:00 PM PT
- Tournament: WTA Guangzhou, China Women's Singles 2026
- Round: Round of 32
All dates and times mentioned in this article are United States Eastern Time unless otherwise stated.
Conclusion
We predict Lilli Tagger, with a 90% win probability, will likely beat Venus Williams at the WTA Guangzhou Open 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.



