I-Hsuan Cho - Ashmitha Easwaramurthi


name
1
2
sets
I-Hsuan Cho
Ashmitha Easwaramurthi
6
0
6
1
2
0
Live Sports Streaming
I-Hsuan Cho vs Ashmitha Easwaramurthi Head 2 Head
I-Hsuan Cho Matches
Chen M.
versus
Cho I.
6
4
6
4
13 Jul 22
Finished
Cho I.
versus
Tothova E.
09 Jul 22
09:00
Cho I.
versus
Safarova Z.
4
6
79
67
62
77
08 Jul 22
Finished
Cho I.
versus
Kalva B.
6
0
0
1
07 Jul 22
Finished
Cirotte A.
versus
Cho I.
1
6
1
6
05 Jul 22
Finished
Ashmitha Easwaramurthi Matches
Easwaramurthi A.
versus
Bains R.
1
6
6
3
2
6
14 Sep 22
Finished
Mansouri Y.
versus
Easwaramurthi A.
24 Aug 22
canceled
Wei S.
versus
Easwaramurthi A.
17 Aug 22
canceled
Iamachkine A.
versus
Easwaramurthi A.
2
0
17 Aug 22
Finished
Easwaramurthi A.
versus
Ainitdinova G.
1
5
12 Aug 22
Finished

You can follow I-Hsuan Cho - Ashmitha Easwaramurthi live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). I-Hsuan Cho vs Ashmitha Easwaramurthi live streaming options are also shown on this page. I-Hsuan Cho vs Ashmitha Easwaramurthi (2019 ITF South Korea 07A, Women Singles) will kick off at 04:00 on 27 Aug 19.

I-Hsuan Cho has won 0% of his last matches and managed to hit an average of 0 aces per match, while the double faults stand at 0 per match. I-Hsuan Cho has won Unknown so far in the 2019 season, with a total prize money of 14.8k € in her entire career.

On the other hand, Ashmitha Easwaramurthi has won 10% of his last matches and managed to hit an average of 0.75 aces per match, while the double faults stand at 2.9 per match. Ashmitha Easwaramurthi has won 1.9k € so far in the 2019 season, with a total prize money of 21.8k € in his/her entire career.

The match will be played on hardcourt outdoor courts in ITF South Korea 07A, Women Singles ().

Based purely on odds, the predicted winner of the match is Ashmitha Easwaramurthi. Our predictions should not be used for betting or gambling on sports and scoreaxis.com accepts no responsibility or liability for any (direct or indirect) financial or other loss that may result from using our statistical data, predictions or any other content present on this website.