Stephanie Judith Visscher - Yu Shan

    Match odds
    1
    1.03
    10.5
    2

    name
    1
    2
    sets
    Stephanie Judith Visscher
    Yu Shan
    6
    1
    6
    2
    2
    0
    Live Sports Streaming
    6
    2
    15
    0
    30
    0
    40
    0
    5
    2
    15
    0
    15
    15
    30
    15
    40
    15
    4
    2
    15
    0
    30
    0
    30
    15
    30
    30
    40
    30
    3
    2
    15
    0
    30
    0
    40
    0
    40
    15
    40
    30
    40
    40
    40
    A
    40
    40
    40
    A
    40
    40
    40
    A
    40
    40
    A
    40
    2
    2
    15
    0
    15
    15
    30
    15
    30
    30
    40
    30
    1
    2
    0
    15
    15
    15
    30
    15
    30
    30
    40
    30
    40
    40
    40
    A
    1
    1
    0
    15
    15
    15
    30
    15
    40
    15
    0
    1
    0
    15
    15
    15
    15
    30
    15
    40
    30
    40
    40
    40
    A
    40
    40
    40
    A
    40
    40
    40
    40
    A
    6
    Aces
    2
    2
    Double Faults
    7
    18/20 (90%)
    Second Serve
    20/27 (74%)
    30/50 (60%)
    First Serve
    27/54 (50%)
    22/30 (73%)
    First Serve Points
    15/27 (56%)
    12/20 (60%)
    Second Serve Points
    12/27 (44%)
    4/4 (100%)
    Break Points Saved
    9/12 (75%)
    6
    Service games played
    6
    12/27 (44%)
    First serve return points
    8/30 (26%)
    15/27 (55%)
    Second serve return points
    8/20 (40%)
    3
    Break points converted
    0
    6
    Return games played
    6
    34
    Service points won
    27
    27
    Receiver points won
    16
    7
    Max points in a row
    4
    Stephanie Judith Visscher vs Yu Shan Head 2 Head
    1 - 0
    Visscher S.
    versus
    Shan Y.
    6
    1
    6
    2
    13 Feb 24
    Finished
    Stephanie Judith Visscher Matches
    Visscher S.
    versus
    Saner J.
    16 Feb 24
    09:00
    Visscher S.
    versus
    Valentova T.
    1
    6
    3
    6
    16 Feb 24
    Finished
    Visscher S.
    versus
    Nishimura K.
    6
    1
    6
    4
    15 Feb 24
    Finished
    Visscher S.
    versus
    Shan Y.
    6
    1
    6
    2
    13 Feb 24
    Finished
    Visscher S.
    versus
    Dal S.
    4
    6
    1
    6
    08 Feb 24
    Finished
    Yu Shan Matches
    Veldman K.
    versus
    Shan Y.
    6
    3
    6
    0
    18 Feb 24
    Finished
    Visscher S.
    versus
    Shan Y.
    6
    1
    6
    2
    13 Feb 24
    Finished
    Shan Y.
    versus
    Kitahara Y.
    6
    3
    5
    7
    6
    10
    04 Feb 24
    Finished
    Shan Y.
    versus
    Bartha P.
    2
    6
    6
    0
    0
    6
    20 Dec 23
    Finished
    Shan Y.
    versus
    Gemovic E.
    3
    6
    1
    6
    19 Dec 23
    Finished

    You can follow Stephanie Judith Visscher - Yu Shan live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Stephanie Judith Visscher vs Yu Shan live streaming options are also shown on this page. Stephanie Judith Visscher vs Yu Shan (ITF Tunisia 07A, Women Singles 2024) will kick off at 08:30 on 13 Feb 24.

    Stephanie Judith Visscher has won 50% of his last matches and managed to hit an average of 1.95 aces per match, while the double faults stand at 3.7 per match. Stephanie Judith Visscher has won 353 € so far in the 2024 season, with a total prize money of 54.4k € in her entire career.

    On the other hand, Yu Shan has won 25% of his last matches and managed to hit an average of 1.65 aces per match, while the double faults stand at 4.8 per match. Yu Shan has won Unknown so far in the 2024 season, with a total prize money of 9.5k € in his/her entire career.

    The match will be played on hardcourt outdoor courts in ITF Tunisia 07A, Women Singles (Tunisia).

    Based purely on odds, the predicted winner of the match is Stephanie Judith Visscher. 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.