Giulia Crescenzi - Emily Seibold


name
1
2
sets
Giulia Crescenzi
Emily Seibold
61
77
4
6
0
2
Live Sports Streaming
Giulia Crescenzi vs Emily Seibold Head 2 Head
Giulia Crescenzi Matches
Valente D.
versus
Crescenzi G.
77
62
6
4
18 Nov 22
Finished
Babikova N.
versus
Crescenzi G.
4
6
0
6
17 Nov 22
Finished
Dessolis M.
versus
Crescenzi G.
64
77
3
6
16 Nov 22
Finished
Crescenzi G.
versus
Parravicini G.
6
4
2
6
2
6
09 Nov 22
Finished
Viviani M.
versus
Crescenzi G.
6
1
6
4
04 Nov 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 Giulia Crescenzi - Emily Seibold live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Giulia Crescenzi vs Emily Seibold live streaming options are also shown on this page. Giulia Crescenzi vs Emily Seibold (2019 ITF Tunisia 04A, Women Singles) will kick off at 12:30 on 30 Jan 19.

Giulia Crescenzi has won 55% of his last matches and managed to hit an average of 1.45 aces per match, while the double faults stand at 4.2 per match. Giulia Crescenzi has won 1.7k € so far in the 2019 season, with a total prize money of 17.6k € 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.