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    WTAUS Open

    Lin Zhu - Sachia Vickery

    Match odds
    1
    1.38
    3.02
    2
    name
    1
    2
    sets
    Lin Zhu
    Sachia Vickery
    3
    6
    4
    6
    0
    2
    Live Sports Streaming
    4
    6
    15
    0
    30
    0
    40
    0
    40
    15
    40
    30
    40
    40
    40
    A
    4
    5
    15
    0
    30
    0
    40
    0
    3
    5
    0
    15
    0
    30
    0
    40
    3
    4
    0
    15
    15
    15
    30
    15
    30
    30
    30
    40
    40
    40
    A
    40
    2
    4
    15
    0
    15
    15
    15
    30
    30
    30
    30
    40
    2
    3
    15
    0
    30
    0
    30
    15
    30
    30
    30
    40
    40
    40
    40
    A
    40
    40
    A
    40
    1
    3
    0
    15
    15
    15
    15
    30
    30
    30
    30
    40
    1
    2
    15
    0
    15
    15
    15
    30
    30
    30
    40
    30
    40
    40
    A
    40
    0
    2
    0
    15
    0
    30
    0
    40
    15
    40
    0
    1
    0
    15
    15
    15
    30
    15
    40
    15
    40
    30
    40
    40
    40
    A
    1
    Aces
    6
    2
    Double Faults
    0
    17/19 (89%)
    Second Serve
    32/32 (100%)
    42/61 (69%)
    First Serve
    36/68 (53%)
    26/42 (62%)
    First Serve Points
    26/36 (72%)
    11/19 (58%)
    Second Serve Points
    21/32 (66%)
    3/5 (60%)
    Break Points Saved
    6/6 (100%)
    9
    Service games played
    10
    10/36 (27%)
    First serve return points
    16/42 (38%)
    11/32 (34%)
    Second serve return points
    8/19 (42%)
    0
    Break points converted
    2
    10
    Return games played
    9
    37
    Service points won
    47
    21
    Receiver points won
    24
    58
    Total points won
    71
    7
    Max points in a row
    7
    Lin Zhu vs Sachia Vickery Head 2 Head
    0 - 1
    Zhu L.
    versus
    Vickery S.
    3
    6
    4
    6
    25 Aug 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
    Sachia Vickery Matches
    Marino R.
    versus
    Vickery S.
    27 Feb 24
    07:00
    Vickery S.
    versus
    Kalieva E.
    6
    3
    3
    6
    6
    4
    25 Feb 24
    Finished
    Vickery S.
    versus
    Zhao C.
    5
    7
    77
    64
    6
    1
    24 Feb 24
    Finished
    Vickery S.
    versus
    Starodubtsewa Y.
    3
    6
    5
    7
    21 Feb 24
    Finished
    Schmiedlová A.
    versus
    Vickery S.
    2
    6
    0
    6
    19 Feb 24
    Finished

    You can follow Lin Zhu - Sachia Vickery live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Lin Zhu vs Sachia Vickery live streaming options are also shown on this page. Lin Zhu vs Sachia Vickery (US Open Women Singles 2022) will kick off at 07:30 on 25 Aug 22.

    Lin Zhu has won 63.16% of his last matches and managed to hit an average of 1.79 aces per match, while the double faults stand at 1.68 per match. Lin Zhu has won 207.4k € so far in the 2022 season, with a total prize money of 1.5M € in her entire career.

    On the other hand, Sachia Vickery has won 60% of his last matches and managed to hit an average of 3 aces per match, while the double faults stand at 1.95 per match. Sachia Vickery has won 78.1k € so far in the 2022 season, with a total prize money of 1.3M € in his/her entire career.

    The match will be played on hardcourt outdoor courts in US Open (USA).

    Based purely on odds, the predicted winner of the match is Lin Zhu. 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.