Rosa Vicens Mas - Joanna Garland


name
1
2
sets
Rosa Vicens Mas
Joanna Garland
6
4
6
2
2
0
Live Sports Streaming
Rosa Vicens Mas vs Joanna Garland Head 2 Head
Rosa Vicens Mas Matches
Vicens Mas R.
versus
Shymanovich I.
29 Nov 22
02:00
Vicens Mas R.
versus
Öz İ.
2
6
7
5
4
6
24 Nov 22
Finished
Jang S.
versus
Vicens Mas R.
1
6
6
2
66
78
22 Nov 22
Finished
Vicens Mas R.
versus
Rodriguez J.
21 Nov 22
canceled
Vicens Mas R.
versus
Baindl K.
5
7
4
6
07 Nov 22
Finished
Joanna Garland Matches
Garland J.
versus
Lahey A.
29 Nov 22
02:30
Garland J.
versus
Lumsden M.
4
6
6
3
2
6
02 Nov 22
Finished
Garland J.
versus
Prisăcariu A.
6
2
6
1
31 Oct 22
Finished
Garland J.
versus
Stresnakova K.
7
5
6
3
30 Oct 22
Finished
Garland J.
versus
Malõgina E.
5
7
4
6
25 Oct 22
Finished

You can follow Rosa Vicens Mas - Joanna Garland live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Rosa Vicens Mas vs Joanna Garland live streaming options are also shown on this page. Rosa Vicens Mas vs Joanna Garland (2019 ITF Spain 02A, Women Singles) will kick off at 10:20 on 31 Jan 19.

Rosa Vicens Mas has won 70% of his last matches and managed to hit an average of 1 aces per match, while the double faults stand at 3.5 per match. Rosa Vicens Mas has won 7.3k € so far in the 2019 season, with a total prize money of 32.4k € in her entire career.

On the other hand, Joanna Garland has won 50% of his last matches and managed to hit an average of 2.55 aces per match, while the double faults stand at 2.35 per match. Joanna Garland has won 2.1k € so far in the 2019 season, with a total prize money of 22.3k € in his/her entire career.

The match will be played on hardcourt outdoor courts in Manacor (Mallorca), Singles Quali W-WITF-ESP-01A (Spain).

Based purely on odds, the predicted winner of the match is Joanna Garland. 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.