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    ITF WomenITF Portugal 08A, Women Singles

    Lin Zhu - Justina Mikulskytė

    name
    1
    2
    sets
    Lin Zhu
    Justina Mikulskytė
    6
    0
    6
    3
    2
    0
    Live Sports Streaming
    6
    3
    15
    0
    30
    0
    40
    0
    40
    15
    5
    3
    0
    15
    0
    30
    15
    30
    15
    40
    5
    2
    15
    0
    15
    15
    15
    30
    15
    40
    30
    40
    40
    40
    A
    40
    40
    40
    A
    40
    4
    2
    15
    0
    15
    15
    30
    15
    40
    15
    3
    2
    15
    0
    15
    15
    15
    30
    30
    30
    30
    40
    3
    1
    15
    0
    30
    0
    40
    0
    40
    15
    2
    1
    15
    0
    30
    0
    40
    0
    40
    15
    40
    30
    40
    40
    40
    A
    40
    40
    A
    40
    40
    40
    A
    40
    1
    1
    15
    0
    30
    0
    40
    0
    40
    15
    0
    1
    15
    0
    15
    15
    15
    30
    15
    40
    2
    Aces
    1
    3
    Double Faults
    4
    12/15 (80%)
    Second Serve
    16/20 (80%)
    25/40 (63%)
    First Serve
    34/54 (63%)
    19/25 (76%)
    First Serve Points
    17/34 (50%)
    8/15 (53%)
    Second Serve Points
    5/20 (25%)
    1/2 (50%)
    Break Points Saved
    6/12 (50%)
    7
    Service games played
    8
    17/34 (50%)
    First serve return points
    6/25 (24%)
    15/20 (75%)
    Second serve return points
    7/15 (46%)
    6
    Break points converted
    1
    8
    Return games played
    7
    27
    Service points won
    22
    32
    Receiver points won
    13
    59
    Total points won
    35
    7
    Max points in a row
    4
    Lin Zhu vs Justina Mikulskytė Head 2 Head
    1 - 0
    Zhu L.
    versus
    Mikulskytė J.
    6
    0
    6
    3
    08 Jul 22
    Finished
    Lin Zhu Matches
    Saville D.
    versus
    Zhu L.
    6
    3
    6
    3
    27 Feb 24
    Finished
    Zhu L.
    versus
    Potapova A.
    6
    4
    2
    6
    4
    6
    19 Feb 24
    Finished
    Zhu L.
    versus
    Rybakina E.
    2
    6
    1
    6
    13 Feb 24
    Finished
    Gracheva V.
    versus
    Zhu L.
    1
    6
    1
    6
    11 Feb 24
    Finished
    Wang Xin.
    versus
    Zhu L.
    06 Feb 24
    canceled
    Justina Mikulskytė Matches
    Mikulskytė J.
    versus
    Kudashova D.
    4
    6
    6
    2
    6
    3
    27 Feb 24
    Finished
    Ružić A.
    versus
    Mikulskytė J.
    6
    4
    6
    2
    15 Feb 24
    Finished
    Hietaranta L.
    versus
    Mikulskytė J.
    2
    6
    6
    2
    3
    6
    13 Feb 24
    Finished
    Mikulskytė J.
    versus
    Maloney E.
    4
    6
    4
    6
    06 Feb 24
    Finished
    Mikulskytė J.
    versus
    Fett J.
    63
    77
    1
    6
    31 Jan 24
    Finished

    You can follow Lin Zhu - Justina Mikulskytė live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Lin Zhu vs Justina Mikulskytė live streaming options are also shown on this page. Lin Zhu vs Justina Mikulskytė (2022 ITF Portugal 08A, Women Singles) will kick off at 10:00 on 08 Jul 22.

    Lin Zhu has won 57.89% of his last matches and managed to hit an average of 0.79 aces per match, while the double faults stand at 1.37 per match. Lin Zhu has won 118.2k € so far in the 2022 season, with a total prize money of 1.4M € in her entire career.

    On the other hand, Justina Mikulskytė has won 45% of his last matches and managed to hit an average of 1.35 aces per match, while the double faults stand at 3.95 per match. Justina Mikulskytė has won 12k € so far in the 2022 season, with a total prize money of 31.9k € in his/her entire career.

    The match will be played on hardcourt outdoor courts in ITF Portugal 08A, Women Singles ().

    Based purely on odds, the predicted winner of the match is Justina Mikulskytė. 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.