Using powerful machine learning and data, we have simulated the outcome of Friday’s Noskova-Badosa women’s singles match, forming part of our tennis predictions coverage.
Our famous predictive model currently gives Noskova a 63% chance of beating Badosa at Berlin.
Additionally, Noskova has a 61% chance of winning the first set. The simulations also show Badosa (+3.5) has a 53% chance of covering the games spread, while the under 22.5 games has a 54% chance of hitting, according to our model.
Linda Noskova vs. Paula Badosa odds
We have sourced the most up-to-date betting odds in America for this match, which are listed here:
Bet Type
Noskova
Badosa
Moneyline
-215
+180
First Set
-189
+150
Game Spread
-3.5 (-110)
+3.5 (-126)
Total Games
o22.5 (-105)
u22.5 (-130)
All odds are correct at the time of publication and are subject to change.
Noskova vs. Badosa picks and best bet
After matching our predictions against the best current odds, we can reveal our picks for each of the major markets. Plus, find our best bet for the game below:
Bet Type
Pick
Bet Now
Moneyline
Badosa
+180
First Set
Badosa
-130
According to our tennis best bets, the top play to make on this match is Paula Badosa to win.
Although Badosa is less than likely to win, she provides the best value at the current available odds.
These picks are based on our probabilities matched against the implied probabilities from the sportsbook odds.
Noskova vs. Badosa updates and essential details
The German Open match between Linda Noskova and Paula Badosa is scheduled to commence on Friday at 7:05 AM ET.
Who: Linda Noskova vs. Paula Badosa
Date: Friday, June 19, 2026
Approx. Time: 7:05 AM ET/4:05AM PT
Tournament: Berlin, Germany Women’s Singles 2026
Round: Quarterfinals
All dates and times mentioned in this article are United States Eastern Time unless otherwise stated.
Conclusion
We predict Linda Noskova, with a 63% win probability, will likely beat Paula Badosa at Berlin.
Additional tools and information for betting safely can be found in our Responsible Gambling hub.