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    ITF WomenHamilton, Singles Qualifying W-ITF-NZL-01A

    Mercedes Aristegui - Renee Zhang

    Match odds
    1
    1.25
    3.75
    2
    name
    1
    2
    3
    sets
    Mercedes Aristegui
    Renee Zhang
    6
    3
    63
    77
    6
    3
    2
    1
    Live Sports Streaming
    6
    3
    15
    0
    30
    0
    30
    15
    40
    15
    5
    3
    15
    0
    15
    15
    15
    30
    30
    30
    40
    30
    40
    40
    40
    A
    5
    2
    0
    15
    0
    30
    0
    40
    5
    1
    0
    15
    0
    30
    0
    40
    5
    0
    15
    0
    15
    15
    30
    15
    40
    15
    4
    0
    0
    15
    0
    30
    15
    30
    30
    30
    30
    40
    40
    40
    A
    40
    3
    0
    0
    15
    15
    15
    30
    15
    40
    15
    40
    30
    2
    0
    0
    15
    15
    15
    15
    30
    30
    30
    40
    30
    1
    0
    0
    15
    15
    15
    30
    15
    40
    15
    0
    Aces
    0
    3
    Double Faults
    2
    19/22 (86%)
    Second Serve
    32/34 (94%)
    81/103 (79%)
    First Serve
    51/85 (60%)
    45/81 (56%)
    First Serve Points
    25/51 (49%)
    10/22 (45%)
    Second Serve Points
    19/34 (56%)
    4/9 (44%)
    Break Points Saved
    2/9 (22%)
    16
    Service games played
    14
    26/51 (50%)
    First serve return points
    36/81 (44%)
    15/34 (44%)
    Second serve return points
    12/22 (54%)
    7
    Break points converted
    5
    14
    Return games played
    16
    55
    Service points won
    44
    41
    Receiver points won
    48
    7
    Max points in a row
    8
    Mercedes Aristegui vs Renee Zhang Head 2 Head
    1 - 0
    Aristegui M.
    versus
    Zhang R.
    6
    3
    63
    77
    6
    3
    13 Dec 23
    Finished
    Mercedes Aristegui Matches
    Aristegui M.
    versus
    Sato H.
    3
    6
    2
    6
    19 Dec 23
    Finished
    Mushika M.
    versus
    Aristegui M.
    6
    2
    6
    1
    15 Dec 23
    Finished
    Aristegui M.
    versus
    Sato H.
    6
    4
    6
    3
    14 Dec 23
    Finished
    Aristegui M.
    versus
    Zhang R.
    6
    3
    63
    77
    6
    3
    13 Dec 23
    Finished
    Smith A.
    versus
    Aristegui M.
    3
    6
    6
    4
    1
    6
    13 Dec 23
    Finished
    Renee Zhang Matches
    Ho Ching Wu.
    versus
    Zhang R.
    6
    2
    6
    1
    17 Dec 23
    Finished
    Aristegui M.
    versus
    Zhang R.
    6
    3
    63
    77
    6
    3
    13 Dec 23
    Finished
    Zhang R.
    versus
    Mushika M.
    6
    4
    6
    2
    13 Dec 23
    Finished
    Zhang R.
    versus
    Ipunesso L.
    6
    2
    6
    1
    11 Dec 23
    Finished
    Zhang R.
    versus
    Danilina A.
    2
    6
    0
    6
    20 Dec 22
    Finished

    You can follow Mercedes Aristegui - Renee Zhang live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Mercedes Aristegui vs Renee Zhang live streaming options are also shown on this page. Mercedes Aristegui vs Renee Zhang (ITF New Zealand 01A, Women Singles 2023) will kick off at 11:00 on 13 Dec 23.

    Mercedes Aristegui has won 50% of his last matches and managed to hit an average of 0.4 aces per match, while the double faults stand at 1.75 per match. Mercedes Aristegui has won 3.2k € so far in the 2023 season, with a total prize money of 8.8k € in her entire career.

    On the other hand, Renee Zhang 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. Renee Zhang has won Unknown so far in the 2023 season, with a total prize money of Unknown in his/her entire career.

    The match will be played on hardcourt outdoor courts in Hamilton, Singles Qualifying W-ITF-NZL-01A (New Zealand).

    Based purely on odds, the predicted winner of the match is Mercedes Aristegui. 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.