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    ITF WomenITF China 01A, Women Singles

    Liang Sun - Michelle Yeo

    name
    1
    2
    sets
    Liang Sun
    Michelle Yeo
    6
    4
    6
    4
    2
    0
    Live Sports Streaming
    6
    4
    15
    0
    15
    15
    15
    30
    15
    40
    30
    40
    40
    40
    A
    40
    40
    40
    40
    A
    40
    40
    A
    40
    5
    4
    0
    15
    15
    15
    30
    15
    40
    15
    4
    4
    0
    15
    0
    30
    0
    40
    4
    3
    15
    0
    30
    0
    30
    15
    30
    30
    30
    40
    40
    40
    40
    A
    40
    40
    A
    40
    3
    3
    15
    0
    15
    15
    30
    15
    30
    30
    30
    40
    3
    2
    0
    15
    15
    15
    15
    30
    15
    40
    30
    40
    3
    1
    15
    0
    15
    15
    15
    30
    30
    30
    30
    40
    40
    40
    A
    40
    2
    1
    0
    15
    15
    15
    30
    15
    30
    30
    40
    30
    1
    1
    15
    0
    15
    15
    15
    30
    30
    30
    30
    40
    1
    0
    15
    0
    30
    0
    40
    0
    40
    15
    40
    30
    0
    Aces
    0
    3
    Double Faults
    2
    19/22 (86%)
    Second Serve
    23/25 (92%)
    40/62 (65%)
    First Serve
    34/59 (58%)
    21/40 (53%)
    First Serve Points
    13/34 (38%)
    8/22 (36%)
    Second Serve Points
    9/25 (36%)
    5/11 (45%)
    Break Points Saved
    3/11 (27%)
    10
    Service games played
    10
    21/34 (61%)
    First serve return points
    19/40 (47%)
    16/25 (64%)
    Second serve return points
    14/22 (63%)
    8
    Break points converted
    6
    10
    Return games played
    10
    29
    Service points won
    22
    37
    Receiver points won
    33
    8
    Max points in a row
    5
    Liang Sun vs Michelle Yeo Head 2 Head
    1 - 0
    Sun L.
    versus
    Yeo M.
    6
    4
    6
    4
    04 Jun 23
    Finished
    Liang Sun Matches
    Sun J.
    versus
    Sun L.
    7
    5
    3
    0
    04 Sep 23
    Finished
    Liu Y.
    versus
    Sun L.
    6
    0
    6
    2
    04 Jul 23
    Finished
    Zheng W.
    versus
    Sun L.
    2
    6
    2
    6
    03 Jul 23
    Finished
    Stallworthy M.
    versus
    Sun L.
    0
    6
    6
    4
    10
    7
    25 Jun 23
    Finished
    Sun L.
    versus
    Wenfei Yu.
    1
    6
    3
    6
    18 Jun 23
    Finished
    Michelle Yeo Matches
    Chan H.
    versus
    Yeo M.
    6
    2
    6
    0
    24 Jul 23
    Finished
    Sun L.
    versus
    Yeo M.
    6
    4
    6
    4
    04 Jun 23
    Finished
    Yeo M.
    versus
    Lin L.
    2
    6
    0
    6
    05 Apr 23
    Finished
    Atfi N.
    versus
    Yeo M.
    5
    7
    4
    6
    13 Aug 22
    Finished
    Yeo M.
    versus
    Chanta A.
    2
    6
    1
    6
    10 Aug 22
    Finished

    You can follow Liang Sun - Michelle Yeo live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Liang Sun vs Michelle Yeo live streaming options are also shown on this page. Liang Sun vs Michelle Yeo (ITF China 01A, Women Singles 2023) will kick off at 09:55 on 04 Jun 23.

    Liang Sun 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. Liang Sun has won Unknown so far in the 2023 season, with a total prize money of Unknown in her entire career.

    On the other hand, Michelle Yeo 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. Michelle Yeo 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 ITF China 01A, Women Singles ().

    Based purely on odds, the predicted winner of the match is Michelle Yeo. 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.