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    ITF WomenITF Germany 09A, Women Singles

    Martha Matoula - Vlada Ekshibarova

    name
    1
    2
    sets
    Martha Matoula
    Vlada Ekshibarova
    6
    3
    6
    2
    2
    0
    Live Sports Streaming
    6
    2
    0
    15
    0
    30
    15
    30
    30
    30
    30
    40
    40
    40
    A
    40
    5
    2
    0
    15
    0
    30
    0
    40
    15
    40
    30
    40
    40
    40
    A
    40
    4
    2
    15
    0
    30
    0
    40
    0
    3
    2
    15
    0
    15
    15
    15
    30
    15
    40
    30
    40
    40
    40
    A
    40
    2
    2
    15
    0
    30
    0
    30
    15
    40
    15
    1
    2
    15
    0
    15
    15
    15
    30
    30
    30
    30
    40
    1
    1
    15
    0
    15
    15
    30
    15
    40
    15
    0
    1
    0
    15
    15
    15
    15
    30
    15
    40
    2
    Aces
    2
    6
    Double Faults
    4
    29/35 (83%)
    Second Serve
    24/28 (86%)
    27/62 (44%)
    First Serve
    25/53 (47%)
    22/27 (81%)
    First Serve Points
    18/25 (72%)
    19/35 (54%)
    Second Serve Points
    10/28 (36%)
    3/4 (75%)
    Break Points Saved
    2/6 (33%)
    9
    Service games played
    8
    7/25 (28%)
    First serve return points
    5/27 (18%)
    18/28 (64%)
    Second serve return points
    16/35 (45%)
    4
    Break points converted
    1
    8
    Return games played
    9
    41
    Service points won
    28
    25
    Receiver points won
    21
    66
    Total points won
    49
    8
    Max points in a row
    5
    Martha Matoula vs Vlada Ekshibarova Head 2 Head
    1 - 0
    Matoula M.
    versus
    Ekshibarova V.
    6
    3
    6
    2
    17 Aug 22
    Finished
    Martha Matoula Matches
    Vargová N.
    versus
    Matoula M.
    6
    2
    6
    3
    21 Feb 24
    Finished
    Matoula M.
    versus
    Struplova J.
    1
    6
    3
    6
    15 Feb 24
    Finished
    Shinikova I.
    versus
    Matoula M.
    6
    3
    4
    6
    6
    3
    07 Feb 24
    Finished
    Matoula M.
    versus
    Martynov D.
    0
    6
    6
    2
    3
    6
    30 Jan 24
    Finished
    Matoula M.
    versus
    Jiménez Kasintseva V.
    2
    6
    1
    6
    24 Jan 24
    Finished
    Vlada Ekshibarova Matches
    Bolkvadze M.
    versus
    Ekshibarova V.
    6
    1
    6
    4
    27 Feb 24
    Finished
    Xiangruyi Ji.
    versus
    Ekshibarova V.
    1
    6
    3
    6
    26 Feb 24
    Finished
    Salden L.
    versus
    Ekshibarova V.
    6
    4
    4
    6
    6
    4
    04 Feb 24
    Finished
    Ekshibarova V.
    versus
    Anderson R.
    6
    4
    1
    6
    4
    6
    01 Dec 23
    Finished
    Bošković L.
    versus
    Ekshibarova V.
    2
    6
    1
    6
    30 Nov 23
    Finished

    You can follow Martha Matoula - Vlada Ekshibarova live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Martha Matoula vs Vlada Ekshibarova live streaming options are also shown on this page. Martha Matoula vs Vlada Ekshibarova (ITF Germany 09A, Women Singles 2022) will kick off at 02:25 on 17 Aug 22.

    Martha Matoula has won 75% of his last matches and managed to hit an average of 1.05 aces per match, while the double faults stand at 2.85 per match. Martha Matoula has won 1.2k € so far in the 2022 season, with a total prize money of 4.6k € in her entire career.

    On the other hand, Vlada Ekshibarova has won 35% of his last matches and managed to hit an average of 1.2 aces per match, while the double faults stand at 2.55 per match. Vlada Ekshibarova has won 721 € so far in the 2022 season, with a total prize money of 104.8k € in his/her entire career.

    The match will be played on clay courts in ITF Germany 09A, Women Singles ().

    Based purely on odds, the predicted winner of the match is Vlada Ekshibarova. 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.