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    ITF WomenLima, Singles W-ITF-PER-01A

    Gabriela Rivera - Noelia Zeballos

    name
    1
    2
    sets
    Gabriela Rivera
    Noelia Zeballos
    3
    6
    2
    6
    0
    2
    Live Sports Streaming
    2
    6
    15
    0
    15
    15
    15
    30
    15
    40
    30
    40
    2
    5
    0
    15
    15
    15
    15
    30
    30
    30
    30
    40
    2
    4
    15
    0
    15
    15
    15
    30
    30
    30
    30
    40
    2
    3
    0
    15
    15
    15
    15
    30
    30
    30
    40
    30
    1
    3
    0
    15
    15
    15
    30
    15
    30
    30
    40
    30
    40
    40
    40
    A
    40
    40
    40
    A
    40
    40
    40
    A
    1
    2
    15
    0
    15
    15
    15
    30
    15
    40
    1
    1
    0
    15
    15
    15
    15
    30
    15
    40
    1
    0
    15
    0
    30
    0
    40
    0
    1
    Aces
    0
    1
    Double Faults
    4
    21/22 (95%)
    Second Serve
    3/7 (43%)
    43/65 (66%)
    First Serve
    36/43 (84%)
    20/43 (47%)
    First Serve Points
    18/36 (50%)
    5/22 (23%)
    Second Serve Points
    2/7 (29%)
    5/13 (38%)
    Break Points Saved
    2/6 (33%)
    9
    Service games played
    8
    18/36 (50%)
    First serve return points
    23/43 (53%)
    5/7 (71%)
    Second serve return points
    17/22 (77%)
    4
    Break points converted
    8
    8
    Return games played
    9
    25
    Service points won
    20
    23
    Receiver points won
    40
    48
    Total points won
    60
    6
    Max points in a row
    6
    Gabriela Rivera vs Noelia Zeballos Head 2 Head
    0 - 2
    Rivera G.
    versus
    Zeballos N.
    2
    6
    6
    3
    5
    10
    18 Mar 19
    Finished
    Rivera G.
    versus
    Zeballos N.
    3
    6
    2
    6
    11 Nov 22
    Finished
    Gabriela Rivera Matches
    Iamachkine A.
    versus
    Rivera G.
    6
    1
    2
    6
    65
    77
    15 Apr 23
    Finished
    Rivera G.
    versus
    Sewing S.
    6
    2
    2
    6
    3
    6
    18 Nov 22
    Finished
    Rivera G.
    versus
    Vangelova A.
    6
    3
    6
    3
    17 Nov 22
    Finished
    Rivera G.
    versus
    Caceres A.
    6
    1
    6
    1
    16 Nov 22
    Finished
    Rivera G.
    versus
    Zeballos N.
    3
    6
    2
    6
    11 Nov 22
    Finished
    Noelia Zeballos Matches
    Romero C.
    versus
    Zeballos N.
    27 Feb 24
    03:00
    Zeballos N.
    versus
    Bosio V.
    1
    6
    64
    77
    23 Jan 24
    Finished
    Fossa Huergo N.
    versus
    Zeballos N.
    78
    66
    6
    2
    15 Jan 24
    Finished
    Zeballos N.
    versus
    Estable J.
    2
    6
    0
    6
    16 Aug 23
    Finished
    Candiotto A.
    versus
    Zeballos N.
    6
    3
    6
    2
    08 Aug 23
    Finished

    You can follow Gabriela Rivera - Noelia Zeballos live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Gabriela Rivera vs Noelia Zeballos live streaming options are also shown on this page. Gabriela Rivera vs Noelia Zeballos (ITF Peru 01A, Women Singles 2022) will kick off at 03:00 on 11 Nov 22.

    Gabriela Rivera has won 78.95% of his last matches and managed to hit an average of 2.05 aces per match, while the double faults stand at 2.26 per match. Gabriela Rivera has won Unknown so far in the 2022 season, with a total prize money of Unknown in her entire career.

    On the other hand, Noelia Zeballos has won 55% of his last matches and managed to hit an average of 0.7 aces per match, while the double faults stand at 2.7 per match. Noelia Zeballos has won 3.1k € so far in the 2022 season, with a total prize money of 46.8k € in his/her entire career.

    The match will be played on red clay courts in Lima, Singles W-ITF-PER-01A ().

    Based purely on odds, the predicted winner of the match is Noelia Zeballos. 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.