• Tennis
• ITF Women - Singles
• W15 Nakhon Si Thammarat 3
• Sara Nayar x Smriti Bhasin Predictions

Sara Nayar vs Smriti Bhasin prediction 10.07.2023

• 10/07/23 22:00
• 

  Sara Nayar
  • 2 : 1
  • Finished
  

  Smriti Bhasin

Match preview

By analyzing collected statistics, our website offers a match prediction in the ITF Women - Singles category that involves players from both Sara Nayar and Smriti Bhasin. The match is scheduled for 10.07 as part of the W15 Nakhon Si Thammarat 3 championship, starting at 22:00.

Match prediction

Having conducted a qualitative analysis of the available data on the statistics of the two rivals Sara Nayar and Smriti Bhasin, we can conclude that the best bet for the duel is Winner - Team 1. When placing this bet on this prediction, the winning coefficient will be 1.43.

10/07/2023

Sara Nayar

22:00

Smriti Bhasin

Bet:: Winner - Team 1

Odds: 1.43

Coefficients at the time of publication of the forecast 10.07.2023 21:40

Who will win?

• Sara Nayar
• Smriti Bhasin

Trends

4 / 10 of the last matches Smriti Bhasin in all tournaments ended with a victory in the 2nd set

7 / 10 of her last matches Sara Nayar in all competitions ended in defeat

5 / 10 of last matches Smriti Bhasin in all tournaments ended with her victory

4 / 10 of the last matches Smriti Bhasin in all tournaments ended with a victory in the 1st set

3 / 10 of last matches Sara Nayar in all tournaments ended with her victory

5 / 10 of her last matches Smriti Bhasin in all competitions ended in defeat

1 / 10 of the last matches Sara Nayar in all tournaments ended with a victory in the 2nd set

Sara Nayar review

Sara Nayar has played 10 matches for which statistics are available, winning 3 times and losing 7 times. Among these matches, Sara Nayar won 7 sets and 85 games while lost 15 sets and 115 games.

Smriti Bhasin review

Out of the matches with available statistics, Smriti Bhasin managed to win 11 sets and 97 games, leading to 5 victories. However, the player also lost 10 sets and 87 games, resulting in 5 losses.