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Kayla Day vs. Nadia Podoroska Prediction, Odds, Picks for WTA Indian Wells 2024
Kayla Day and Nadia Podoroska are scheduled to meet in the round of 64 of the WTA Indian Wells event on Friday.
Dimers.com's full preview for Friday's Day vs. Podoroska match includes the latest betting odds, as well as our predictions and picks for the match.
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Day vs. Podoroska Prediction: Who Will Win
We have used powerful machine learning and statistical analysis to simulate the result of Friday's Day-Podoroska women's singles match 10,000 times, in keeping with our coverage of tennis picks.
Our popular predictive analytics model gives Podoroska a 57% chance of beating Day at the WTA Indian Wells tournament.
Kayla Day vs. Nadia Podoroska Odds
We have researched the best betting odds in America for this match, which are listed here:
Bet Type | Day | Podoroska |
---|---|---|
Moneyline | +120 | -152 |
First Set | +110 | -139 |
All odds are correct at the time of publication and are subject to change.
Day vs. Podoroska Picks
Our predictions, matched with the available odds, reveal the top betting picks to make on this match, detailed in Dimers' tennis best bets, crafted from expert modeling and analysis:
Bet Type | Our Pick | Best Odds |
---|---|---|
Moneyline | Day | +120 |
First Set | Podoroska | -139 |
Although Podoroska is more likely to win the match, betting on Day moneyline is the best option due to the edge found when comparing our data-led probabilities to the betting odds currently available.
Day vs. Podoroska Game Information
The WTA Indian Wells match between Kayla Day and Nadia Podoroska is scheduled to begin on Friday at 11:00PM ET.
- Who: Kayla Day vs. Nadia Podoroska
- Date: Friday March 8, 2024
- Approx. Time: 11:00PM ET / 8:00PM PT
- Tournament: WTA Indian Wells, USA Women's Singles 2024
- Round: Round of 64
All dates and times mentioned in this article are United States Eastern Time unless otherwise stated.
Our full betting coverage of Kayla Day vs. Nadia Podoroska includes pre-match predictions, betting picks, and live in-play probabilities.
Conclusion
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