Janice Tjen vs. Joanna Garland prediction, odds, picks for WTA Chennai Open 2026

Using powerful machine learning and data, we have re-simulated the outcome of Wednesday's Tjen-Garland women's singles match, forming part of our tennis predictions coverage.

Our famous predictive model gives Tjen a 67% chance of winning against Garland at the WTA Chennai Open tournament. Additionally, Tjen has a 64% chance of winning the first set. The simulations also show Tjen (-3.5) has a 53% chance of covering the games spread, while the over 20.5 games has a 55% chance of hitting, according to our model.

Latest betting odds

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

• Moneyline: Joanna Garland +200, Janice Tjen -240
• First Set: Tjen -227, Garland +175

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 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: Tjen @ -240 via DraftKings
• First Set: Garland @ -125 via DraftKings

According to our tennis best bets, the top play to make on this match is Janice Tjen to win.

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

Game info & first serve details

The WTA Chennai Open match between Janice Tjen and Joanna Garland is scheduled to commence on Wednesday at 5:40 AM ET.

• Who: Janice Tjen vs. Joanna Garland
• Date: Wednesday, November 4, 2026
• Approx. Time: 5:40 AM ET/2:40 AM PT
• Tournament: WTA Chennai, India, Women's Singles 2026
• Round: Round of 16

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

Conclusion

We predict Janice Tjen, with a 67% win probability, will likely beat Joanna Garland at the WTA Chennai 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.