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    WTAWTA Ningbo, China Women Singles

    Diana Shnaider - Petra Kvitová

    Match odds
    1
    4.5
    1.2
    2
    name
    1
    2
    3
    sets
    Diana Shnaider
    Petra Kvitová
    6
    1
    4
    6
    6
    3
    2
    1
    Live Sports Streaming
    6
    3
    15
    0
    15
    15
    30
    15
    40
    15
    5
    3
    15
    0
    30
    0
    40
    0
    4
    3
    15
    0
    30
    0
    40
    0
    3
    3
    15
    0
    15
    15
    30
    15
    30
    30
    30
    40
    40
    40
    A
    40
    40
    40
    A
    40
    2
    3
    0
    15
    0
    30
    0
    40
    2
    2
    0
    15
    0
    30
    15
    30
    30
    30
    40
    30
    1
    2
    15
    0
    15
    15
    15
    30
    30
    30
    30
    40
    1
    1
    0
    15
    0
    30
    15
    30
    15
    40
    30
    40
    40
    40
    40
    A
    40
    40
    A
    40
    40
    40
    A
    40
    0
    1
    0
    15
    0
    30
    0
    40
    3
    Aces
    6
    1
    Double Faults
    8
    31/32 (97%)
    Second Serve
    18/26 (69%)
    53/85 (62%)
    First Serve
    45/71 (63%)
    32/53 (60%)
    First Serve Points
    25/45 (56%)
    19/32 (59%)
    Second Serve Points
    12/26 (46%)
    7/10 (70%)
    Break Points Saved
    3/9 (33%)
    13
    Service games played
    13
    20/45 (44%)
    First serve return points
    21/53 (39%)
    14/26 (53%)
    Second serve return points
    13/32 (40%)
    6
    Break points converted
    3
    13
    Return games played
    13
    51
    Service points won
    37
    34
    Receiver points won
    34
    11
    Max points in a row
    10
    Diana Shnaider vs Petra Kvitová Head 2 Head
    1 - 0
    Shnaider D.
    versus
    Kvitová P.
    6
    1
    4
    6
    6
    3
    28 Sep 23
    Finished
    Diana Shnaider Matches
    Andreeva E.
    versus
    Shnaider D.
    77
    62
    6
    4
    11 Feb 24
    Finished
    Sasnovich A.
    versus
    Shnaider D.
    1
    6
    2
    6
    10 Feb 24
    Finished
    Rodionova Ar.
    versus
    Shnaider D.
    6
    3
    4
    6
    2
    6
    09 Feb 24
    Finished
    Shnaider D.
    versus
    Zhu L.
    6
    3
    2
    6
    6
    1
    04 Feb 24
    Finished
    Shnaider D.
    versus
    Wang Xin.
    6
    2
    77
    65
    03 Feb 24
    Finished
    Petra Kvitová Matches
    Kvitová P.
    versus
    Samsonova L.
    4
    6
    5
    7
    02 Oct 23
    Finished
    Kvitová P.
    versus
    Wang Xiy.
    66
    78
    7
    5
    6
    3
    01 Oct 23
    Finished
    Shnaider D.
    versus
    Kvitová P.
    6
    1
    4
    6
    6
    3
    28 Sep 23
    Finished
    Putintseva Y.
    versus
    Kvitová P.
    27 Sep 23
    Walkover
    Friedsam A.
    versus
    Kvitová P.
    62
    77
    1
    6
    25 Sep 23
    Finished

    You can follow Diana Shnaider - Petra Kvitová live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Diana Shnaider vs Petra Kvitová live streaming options are also shown on this page. Diana Shnaider vs Petra Kvitová (WTA Ningbo, China Women Singles 2023) will kick off at 12:00 on 28 Sep 23.

    Diana Shnaider has won 55% of his last matches and managed to hit an average of 2.05 aces per match, while the double faults stand at 2.15 per match. Diana Shnaider has won 274.7k € so far in the 2023 season, with a total prize money of 336.3k € in her entire career.

    On the other hand, Petra Kvitová has won 68.42% of his last matches and managed to hit an average of 5.63 aces per match, while the double faults stand at 6.05 per match. Petra Kvitová has won 2M € so far in the 2023 season, with a total prize money of 31M € in his/her entire career.

    The match will be played on hardcourt outdoor courts in WTA Ningbo, China Women Singles ().

    Based purely on odds, the predicted winner of the match is Petra Kvitová. 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.