Published on: Sep 26, 2019 3:13 am IST|Updated on: Sep 26, 2019 1:43 pm IST
South Africa – Women vs India – Women Match Preview:
Indian Women will take on South African women in the 2nd game of the ongoing T20 series. Indian eves won the first game comfortably on the back of their spin-bowling. The hosts will once again bank on their spin resources to take an unassailable lead in the series.
South African eves, on the other hand, will look to improve their batting quality in this match. They will try to give a much-improved performance to pull one game back to take this series to the final T20.
Match: South Africa Women Tour of India – 2nd T20
Date: Thursday, 26th September 2019
Venue: Lalabhai Contractor Stadium, Surat
Time: 7:00 PM IST
The rain is forecasted for Thursday, and Rain Gods might decide to hinder the game.
South Africa Women- 01
India Women- 03
No Result- 01
South Africa Women
India Women
IN-W Squad
Harmanpreet Kaur (c), Harleen Deol, Anuja Patil, Pooja Vastrakar, Radha Yadav, Smriti Mandhana, Taniya Bhatia, Poonam Yadav, Veda Krishnamurthy, Shikha Pandey, Deepti Sharma, Arundhati Reddy, Jemimah Rodrigues, Mansi Joshi, and Shafali Verma.
SA-W Squad
Sune Luus (c), Tumi Sekhukhune, Tasmin Brits, Mignon du Preez, Shabnim Ismail, Sinalo Jafta, Lara Goodall, Anneke Bosch, Ayabonga Khaka, Nadine de Klerk, Laura Wolvaardt, Lizelle Lee, Nonkululeko Mlaba, and Nondumiso Shangase.
South Africa Women Playing 11-
Lizelle Lee (wk), Tazmin Brits, Laura Wolvaardt, Nadine de Klerk, Mignon du Preez, Sune Luus (c), Nondumiso Shangase, Nonkululeko Mlaba, Shabnim Ismail, Ayabonga Khaka, and Tumi Sekhukhune.
India Women Playing 11-
Smriti Mandhana, Shafali Verma, Jemimah Rodrigues, Harmanpreet Kaur (c), Veda Krishnamurthy, Poonam Yadav, Deepti Sharma, Pooja Vastrakar, Taniya Bhatia (wk), Radha Yadav, and Shikha Pandey.
Disclaimer: Team Management could take late decisions depending on the match situation and team strategy. The fantasy teams we have provided at the platform is the best of our interest. Also, we form the teams based on the credit scores of the players.