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    ITF WomenITF Kenya 01A, Women Singles

    Celine Simunyu - Caroline Romeo

    name
    1
    2
    sets
    Celine Simunyu
    Caroline Romeo
    2
    6
    3
    6
    0
    2
    Live Sports Streaming
    3
    6
    15
    0
    15
    15
    15
    30
    30
    30
    30
    40
    3
    5
    0
    15
    15
    15
    15
    30
    30
    30
    30
    40
    3
    4
    15
    0
    30
    0
    30
    15
    30
    30
    30
    40
    3
    3
    0
    15
    15
    15
    30
    15
    30
    30
    30
    40
    3
    2
    15
    0
    30
    0
    30
    15
    30
    30
    40
    30
    2
    2
    0
    15
    0
    30
    15
    30
    30
    30
    40
    30
    40
    40
    40
    A
    40
    40
    A
    40
    40
    40
    40
    A
    2
    1
    15
    0
    30
    0
    30
    15
    30
    30
    40
    30
    1
    1
    0
    15
    15
    15
    15
    30
    15
    40
    1
    0
    15
    0
    30
    0
    40
    0
    40
    15
    40
    30
    0
    Aces
    1
    3
    Double Faults
    7
    18/21 (86%)
    Second Serve
    16/23 (70%)
    39/60 (65%)
    First Serve
    36/59 (61%)
    21/39 (54%)
    First Serve Points
    28/36 (78%)
    9/21 (43%)
    Second Serve Points
    10/23 (43%)
    2/6 (33%)
    Break Points Saved
    4/4 (100%)
    9
    Service games played
    8
    8/36 (22%)
    First serve return points
    18/39 (46%)
    13/23 (56%)
    Second serve return points
    12/21 (57%)
    0
    Break points converted
    4
    8
    Return games played
    9
    30
    Service points won
    38
    21
    Receiver points won
    30
    51
    Total points won
    68
    3
    Max points in a row
    6
    Celine Simunyu vs Caroline Romeo Head 2 Head
    0 - 1
    Simunyu C.
    versus
    Romeo C.
    2
    6
    3
    6
    18 Nov 22
    Finished
    Celine Simunyu Matches
    Simunyu C.
    versus
    Bucsa C.
    0
    6
    3
    6
    16 Feb 24
    Finished
    Simunyu C.
    versus
    Jones F.
    1
    6
    0
    6
    14 Feb 24
    Finished
    Glushkova D.
    versus
    Simunyu C.
    2
    6
    6
    3
    7
    10
    13 Feb 24
    Finished
    Paterno G.
    versus
    Simunyu C.
    0
    6
    3
    6
    12 Feb 24
    Finished
    Simunyu C.
    versus
    Hageman M.
    6
    3
    3
    6
    4
    10
    23 Jan 24
    Finished
    Caroline Romeo Matches
    Romeo C.
    versus
    Sugnaux T.
    28 Feb 24
    09:00
    Romeo C.
    versus
    Villet M.
    6
    3
    3
    6
    8
    10
    12 Dec 23
    Finished
    Romeo C.
    versus
    Giraldi Requena A.
    4
    6
    6
    4
    10
    5
    11 Dec 23
    Finished
    Romeo C.
    versus
    Večić A.
    3
    6
    1
    6
    06 Dec 23
    Finished
    Fung S.
    versus
    Romeo C.
    6
    4
    6
    1
    07 Nov 23
    Finished

    You can follow Celine Simunyu - Caroline Romeo live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Celine Simunyu vs Caroline Romeo live streaming options are also shown on this page. Celine Simunyu vs Caroline Romeo (ITF Kenya 01A, Women Singles 2022) will kick off at 06:00 on 18 Nov 22.

    Celine Simunyu has won 60% of his last matches and managed to hit an average of 1 aces per match, while the double faults stand at 2.55 per match. Celine Simunyu has won Unknown so far in the 2022 season, with a total prize money of Unknown in her entire career.

    On the other hand, Caroline Romeo has won 50% of his last matches and managed to hit an average of 1.2 aces per match, while the double faults stand at 3.85 per match. Caroline Romeo has won 571 € so far in the 2022 season, with a total prize money of 58.2k € in his/her entire career.

    The match will be played on red clay courts in ITF Kenya 01A, Women Singles ().

    Based purely on odds, the predicted winner of the match is Caroline Romeo. 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.