Miyabi Inoue - Emily Webley-Smith


name
1
2
3
sets
Miyabi Inoue
Emily Webley-Smith
6
0
4
6
6
2
2
1
Live Sports Streaming
Miyabi Inoue vs Emily Webley-Smith Head 2 Head
Miyabi Inoue Matches
Kingsley R.
versus
Inoue M.
6
2
6
1
11 Aug 21
Finished
Rey Garcia A.
versus
Inoue M.
6
3
6
3
04 Aug 21
Finished
Vanlangendonck E.
versus
Inoue M.
77
63
6
3
30 Jul 21
Finished
Bechri C.
versus
Inoue M.
3
6
3
6
29 Jul 21
Finished
Villet M.
versus
Inoue M.
4
6
1
6
28 Jul 21
Finished
Emily Webley-Smith Matches
Webley-Smith E.
versus
Di Giuseppe M.
3
6
1
6
14 Nov 22
Finished
Ibbou I.
versus
Webley-Smith E.
6
1
6
1
30 Oct 22
Finished
Perrin C.
versus
Webley-Smith E.
6
2
6
0
23 Oct 22
Finished
Ristic M.
versus
Webley-Smith E.
6
2
6
1
10 Oct 22
Finished
Velikova D.
versus
Webley-Smith E.
1
6
63
77
09 Oct 22
Finished

You can follow Miyabi Inoue - Emily Webley-Smith live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Miyabi Inoue vs Emily Webley-Smith live streaming options are also shown on this page. Miyabi Inoue vs Emily Webley-Smith (2019 ITF India 01A, Women Singles) will kick off at 07:35 on 30 Jan 19.

Miyabi Inoue has won 45% of his last matches and managed to hit an average of 1.65 aces per match, while the double faults stand at 3.35 per match. Miyabi Inoue has won 3.5k € so far in the 2019 season, with a total prize money of 117.7k € in her entire career.

On the other hand, Emily Webley-Smith has won 20% of his last matches and managed to hit an average of 0.95 aces per match, while the double faults stand at 2.6 per match. Emily Webley-Smith has won 558 € so far in the 2019 season, with a total prize money of 339k € 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 Emily Webley-Smith. 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.