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    ITF WomenVilla Del Dique

    Martina Belen Roldan Santander - Jasmin Jebawy

    Match odds
    1
    5
    1.14
    2
    name
    1
    2
    sets
    Martina Belen Roldan Santander
    Jasmin Jebawy
    3
    6
    2
    6
    0
    2
    Live Sports Streaming
    2
    6
    15
    0
    15
    15
    15
    30
    15
    40
    2
    5
    15
    0
    15
    15
    30
    15
    30
    30
    30
    40
    40
    40
    A
    40
    1
    5
    0
    15
    15
    15
    15
    30
    30
    30
    30
    40
    1
    4
    0
    15
    0
    30
    15
    30
    15
    40
    1
    3
    0
    15
    15
    15
    30
    15
    30
    30
    30
    40
    1
    2
    15
    0
    30
    0
    30
    15
    30
    30
    40
    30
    0
    2
    0
    15
    0
    30
    0
    40
    0
    1
    15
    0
    15
    15
    15
    30
    15
    40
    0
    Aces
    1
    1
    Double Faults
    2
    15/16 (94%)
    Second Serve
    18/20 (90%)
    29/45 (64%)
    First Serve
    33/53 (62%)
    13/29 (45%)
    First Serve Points
    20/33 (61%)
    6/16 (38%)
    Second Serve Points
    14/20 (70%)
    2/7 (28%)
    Break Points Saved
    3/5 (60%)
    8
    Service games played
    9
    13/33 (39%)
    First serve return points
    16/29 (55%)
    6/20 (30%)
    Second serve return points
    10/16 (62%)
    2
    Break points converted
    5
    9
    Return games played
    8
    19
    Service points won
    34
    19
    Receiver points won
    26
    38
    Total points won
    60
    5
    Max points in a row
    9
    Martina Belen Roldan Santander vs Jasmin Jebawy Head 2 Head
    0 - 1
    Roldan Santander M.
    versus
    Jebawy J.
    3
    6
    2
    6
    28 Feb 23
    Finished
    Martina Belen Roldan Santander Matches
    Castro Zunino M.
    versus
    Roldan Santander M.
    5
    3
    21 Jun 23
    Finished
    Roldan Santander M.
    versus
    Costa C.
    64
    77
    65
    77
    23 May 23
    Finished
    Roldan Santander M.
    versus
    Xavier Laydner C.
    63
    77
    3
    6
    16 May 23
    Finished
    Roldan Santander M.
    versus
    Jebawy J.
    3
    6
    2
    6
    28 Feb 23
    Finished
    Bueno H.
    versus
    Roldan Santander M.
    1
    6
    1
    6
    27 Feb 23
    Finished
    Jasmin Jebawy Matches
    Sánchez A.
    versus
    Jebawy J.
    25 Jan 24
    Walkover
    Larraya Guidi S.
    versus
    Jebawy J.
    0
    6
    77
    64
    5
    7
    24 Jan 24
    Finished
    Navarro Oliva M.
    versus
    Jebawy J.
    6
    2
    6
    0
    17 Jan 24
    Finished
    Jebawy J.
    versus
    Alves C.
    1
    6
    2
    6
    12 Dec 23
    Finished
    Jebawy J.
    versus
    Silvestre L.
    6
    3
    6
    2
    11 Dec 23
    Finished

    You can follow Martina Belen Roldan Santander - Jasmin Jebawy live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Martina Belen Roldan Santander vs Jasmin Jebawy live streaming options are also shown on this page. Martina Belen Roldan Santander vs Jasmin Jebawy (ITF Argentina 04A, Women Singles 2023) will kick off at 04:35 on 28 Feb 23.

    Martina Belen Roldan Santander has won 55% of his last matches and managed to hit an average of 0.05 aces per match, while the double faults stand at 1.3 per match. Martina Belen Roldan Santander has won Unknown so far in the 2023 season, with a total prize money of Unknown in her entire career.

    On the other hand, Jasmin Jebawy has won 25% of his last matches and managed to hit an average of 0.7 aces per match, while the double faults stand at 3.6 per match. Jasmin Jebawy has won 4.9k € so far in the 2023 season, with a total prize money of 26.7k € in his/her entire career.

    The match will be played on red clay courts in Villa Del Dique ().

    Based purely on odds, the predicted winner of the match is Jasmin Jebawy. 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.