Vaidehi Chaudhari - Mihaela Đaković


name
1
2
sets
Vaidehi Chaudhari
Mihaela Đaković
3
6
3
6
0
2
Live Sports Streaming
Vaidehi Chaudhari vs Mihaela Đaković Head 2 Head
Vaidehi Chaudhari Matches
Barkova T.
versus
Chaudhari V.
2
1
17 Nov 22
Finished
Chaudhari V.
versus
Andrianjafitrimo T.
7
5
6
3
16 Nov 22
Finished
Chaudhari V.
versus
Berecoechea N.
7
5
6
4
15 Nov 22
Finished
Chaudhari V.
versus
Dong N.
6
0
6
1
14 Nov 22
Finished
Jia-Jing Lu.
versus
Chaudhari V.
6
1
66
78
77
64
09 Nov 22
Finished
Mihaela Đaković Matches
Bouzo Zanotti N.
versus
Đaković M.
6
1
6
1
19 Nov 22
Finished
Đaković M.
versus
Mazzola A.
6
1
6
4
18 Nov 22
Finished
Chiesa E.
versus
Đaković M.
6
2
1
6
1
6
17 Nov 22
Finished
Piangerelli A.
versus
Đaković M.
3
6
0
6
15 Nov 22
Finished
Murta I.
versus
Đaković M.
6
2
6
2
02 Nov 22
Finished

You can follow Vaidehi Chaudhari - Mihaela Đaković live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Vaidehi Chaudhari vs Mihaela Đaković live streaming options are also shown on this page. Vaidehi Chaudhari vs Mihaela Đaković (2019 ITF India 01A, Women Singles) will kick off at 11:05 on 30 Jan 19.

Vaidehi Chaudhari has won 68.42% of his last matches and managed to hit an average of 1.32 aces per match, while the double faults stand at 3 per match. Vaidehi Chaudhari has won 1.3k € so far in the 2019 season, with a total prize money of 3.9k € in her entire career.

On the other hand, Mihaela Đaković has won 44.44% of his last matches and managed to hit an average of 1.39 aces per match, while the double faults stand at 3.56 per match. Mihaela Đaković has won 2.2k € so far in the 2019 season, with a total prize money of 13.8k € in his/her entire career.

The match will be played on clay courts in Gwalior, Singles W-WITF-IND-01A (India).

Based purely on odds, the predicted winner of the match is Mihaela Đaković . 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.