• Tennis
• Challenger Women - Singles
• Palermo
• Silvia Ambrosio x Tamara Zidansek Predictions

Silvia Ambrosio vs Tamara Zidansek prediction 24.07.2025

• 24/07/25 13:40
• 

  Silvia Ambrosio
  • 0 : 2
  • Finished
  

  Tamara Zidansek

Match preview

By analyzing collected statistics, our website offers a match prediction in the Challenger Women - Singles category that involves players from both Silvia Ambrosio and Tamara Zidansek. The match is scheduled for 24.07 as part of the Palermo championship, starting at 13:40.

Match prediction

Having conducted a qualitative analysis of the available data on the statistics of the two rivals Silvia Ambrosio and Tamara Zidansek, we can conclude that the best bet for the duel is Winner - Team 2. When placing this bet on this prediction, the winning coefficient will be 1.198.

24/07/2025

Silvia Ambrosio

13:40

Tamara Zidansek

Bet:: Winner - Team 2

Odds: 1.20

Coefficients at the time of publication of the forecast 24.07.2025 13:40

Who will win?

• Silvia Ambrosio
• Tamara Zidansek

Trends

8 / 10 of the last matches Silvia Ambrosio in all tournaments ended with a victory in the 2nd set

8 / 10 of the last matches Silvia Ambrosio in all tournaments ended with a victory in the 1st set

6 / 10 of last matches Silvia Ambrosio in all tournaments ended with her victory

1 / 10 of her last matches Tamara Zidansek in all competitions ended in defeat

6 / 10 of the last matches Tamara Zidansek in all tournaments ended with a victory in the 1st set

6 / 10 of the last matches Tamara Zidansek in all tournaments ended with a victory in the 2nd set

Silvia Ambrosio review

In 10 of Silvia Ambrosio matches for which statistics are available, the player won 6 and lost 4 times. In 10 match played, Silvia Ambrosio won a 14 sets and 122 games, while losing a 9 sets and 99 games.

Tamara Zidansek review

Out of the matches with available statistics, Tamara Zidansek managed to win 18 sets and 119 games, leading to 9 victories. However, the player also lost 3 sets and 76 games, resulting in 1 losses.