Estelle Cascino - Emily Seibold


name
1
2
sets
Estelle Cascino
Emily Seibold
6
2
6
1
2
0
Live Sports Streaming
Estelle Cascino vs Emily Seibold Head 2 Head
Estelle Cascino Matches
Cascino E.
versus
Papamichail D.
1
6
3
6
12 Oct 22
Finished
Cascino E.
versus
Paszek T.
2
6
3
6
12 Sep 22
Finished
Cascino E.
versus
Petretic L.
6
1
6
0
11 Sep 22
Finished
Cascino E.
versus
Evtimova D.
6
2
4
6
9
11
06 Sep 22
Finished
Cascino E.
versus
Borges M.
6
0
6
0
05 Sep 22
Finished
Emily Seibold Matches
Seibold E.
versus
Iordache A.
6
4
5
7
4
6
25 Nov 22
Finished
Seibold E.
versus
Kalluri L.
6
0
6
0
24 Nov 22
Finished
Seibold E.
versus
Okutoyi A.
6
3
4
6
77
64
24 Nov 22
Finished
Seibold E.
versus
Okutoyi A.
6
3
6
2
20 Nov 22
Finished
Seibold E.
versus
Leon S.
6
2
6
2
19 Nov 22
Finished

You can follow Estelle Cascino - Emily Seibold live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Estelle Cascino vs Emily Seibold live streaming options are also shown on this page. Estelle Cascino vs Emily Seibold (2019 ITF Tunisia 04A, Women Singles) will kick off at 09:00 on 01 Feb 19.

Estelle Cascino has won 55% of his last matches and managed to hit an average of 0.9 aces per match, while the double faults stand at 1.35 per match. Estelle Cascino has won 14.8k € so far in the 2019 season, with a total prize money of 93.1k € in her entire career.

On the other hand, Emily Seibold has won 55% of his last matches and managed to hit an average of 1.85 aces per match, while the double faults stand at 3.45 per match. Emily Seibold has won 4.9k € so far in the 2019 season, with a total prize money of 15k € in his/her entire career.

The match will be played on hardcourt outdoor courts in Monastir, Singles Qualifying W-ITF-TUN-04A (Tunisia).

Based purely on odds, the predicted winner of the match is Emily Seibold. 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.