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    ITF WomenITF Tunisia 09A, Women Singles

    Samira de Stefano - Mei Xu Wu

    Match odds
    1
    2.5
    1.5
    2
    name
    1
    2
    sets
    Samira de Stefano
    Mei Xu Wu
    1
    6
    4
    6
    0
    2
    Live Sports Streaming
    4
    6
    0
    15
    0
    30
    15
    30
    15
    40
    4
    5
    0
    15
    15
    15
    15
    30
    15
    40
    30
    40
    40
    40
    40
    A
    40
    40
    40
    A
    40
    40
    40
    A
    4
    4
    0
    15
    0
    30
    0
    40
    4
    3
    15
    0
    30
    0
    30
    15
    30
    30
    40
    30
    3
    3
    0
    15
    15
    15
    15
    30
    30
    30
    40
    30
    2
    3
    0
    15
    15
    15
    30
    15
    40
    15
    1
    3
    15
    0
    15
    15
    15
    30
    30
    30
    30
    40
    1
    2
    15
    0
    15
    15
    15
    30
    30
    30
    40
    30
    40
    40
    A
    40
    0
    2
    15
    0
    15
    15
    15
    30
    30
    30
    30
    40
    0
    1
    15
    0
    15
    15
    15
    30
    15
    40
    0
    Aces
    3
    5
    Double Faults
    1
    18/23 (78%)
    Second Serve
    19/20 (95%)
    38/61 (62%)
    First Serve
    30/50 (60%)
    18/38 (47%)
    First Serve Points
    21/30 (70%)
    10/23 (43%)
    Second Serve Points
    11/20 (55%)
    8/13 (61%)
    Break Points Saved
    0/2 (0%)
    8
    Service games played
    9
    9/30 (30%)
    First serve return points
    20/38 (52%)
    9/20 (45%)
    Second serve return points
    13/23 (56%)
    2
    Break points converted
    5
    9
    Return games played
    8
    28
    Service points won
    32
    18
    Receiver points won
    33
    46
    Total points won
    65
    5
    Max points in a row
    5
    Samira de Stefano vs Mei Xu Wu Head 2 Head
    0 - 1
    de Stefano S.
    versus
    Wu, M.
    1
    6
    4
    6
    04 Mar 23
    Finished
    Samira de Stefano Matches
    de Stefano S.
    versus
    Laki M.
    23 Feb 24
    09:00
    de Stefano S.
    versus
    Sugnaux T.
    0
    3
    21 Feb 24
    Finished
    Saigo R.
    versus
    de Stefano S.
    6
    4
    6
    3
    14 Feb 24
    Finished
    Di Sarra F.
    versus
    de Stefano S.
    6
    1
    6
    3
    28 Nov 23
    Finished
    Abbagnato A.
    versus
    de Stefano S.
    6
    4
    6
    2
    20 Nov 23
    Finished
    Mei Xu Wu Matches
    Sun Y.
    versus
    Wu, M.
    6
    4
    2
    1
    13 Sep 23
    Finished
    Kulambayeva Z.
    versus
    Wu, M.
    6
    0
    6
    1
    09 Aug 23
    Finished
    Wu, M.
    versus
    Tian N.
    6
    1
    6
    0
    07 Aug 23
    Finished
    Wu, M.
    versus
    Zhang J.
    07 Aug 23
    canceled
    Yao X.
    versus
    Wu, M.
    6
    4
    6
    2
    14 Jul 23
    Finished

    You can follow Samira de Stefano - Mei Xu Wu live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Samira de Stefano vs Mei Xu Wu live streaming options are also shown on this page. Samira de Stefano vs Mei Xu Wu (ITF Tunisia 09A, Women Singles 2023) will kick off at 09:00 on 04 Mar 23.

    Samira de Stefano has won 52.63% of his last matches and managed to hit an average of 0.47 aces per match, while the double faults stand at 1.95 per match. Samira de Stefano has won Unknown so far in the 2023 season, with a total prize money of Unknown in her entire career.

    On the other hand, Mei Xu Wu 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. Mei Xu Wu has won Unknown so far in the 2023 season, with a total prize money of 12.5k € in his/her entire career.

    The match will be played on hardcourt outdoor courts in ITF Tunisia 09A, Women Singles ().

    Based purely on odds, the predicted winner of the match is Mei Xu Wu. 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.