Sabine Lisicki - Yumi Miyazaki


    Live Sports Streaming
    Sabine Lisicki Matches
    Lisicki S.
    versus
    Abduraimova N.
    3
    6
    4
    6
    04 Dec 23
    Finished
    Lisicki S.
    versus
    Fung S.
    77
    62
    65
    77
    6
    3
    12 Nov 23
    Finished
    Loeb J.
    versus
    Lisicki S.
    1
    6
    2
    6
    11 Nov 23
    Finished
    Lisicki S.
    versus
    Hovde L.
    6
    3
    63
    77
    6
    3
    11 Nov 23
    Finished
    Pattinama Kerkhove L.
    versus
    Lisicki S.
    3
    6
    6
    3
    2
    6
    10 Nov 23
    Finished
    Yumi Miyazaki Matches
    Minnen G.
    versus
    Miyazaki Y.
    09 Oct 23
    canceled
    Lisicki S.
    versus
    Miyazaki Y.
    01 Apr 23
    04:30
    Silva E.
    versus
    Miyazaki Y.
    13 Aug 22
    canceled

    You can follow Sabine Lisicki - Yumi Miyazaki live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Sabine Lisicki vs Yumi Miyazaki live streaming options are also shown on this page. Sabine Lisicki vs Yumi Miyazaki (WTA Charleston, USA Women Singles 2023) will kick off at 04:30 on 01 Apr 23.

    Sabine Lisicki has won 65% of his last matches and managed to hit an average of 7.9 aces per match, while the double faults stand at 6.1 per match. Sabine Lisicki has won 3.1k € so far in the 2023 season, with a total prize money of 6M € in her entire career.

    On the other hand, Yumi Miyazaki has won 0% of his last matches and managed to hit an average of 0 aces per match, while the double faults stand at 0 per match. Yumi Miyazaki has won Unknown so far in the 2023 season, with a total prize money of Unknown in his/her entire career.

    The match will be played on clay courts in Charleston (USA).

    Based purely on odds, the predicted winner of the match is Yumi Miyazaki. 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.