ScoreAxis Logo
Football
Tennis
Widgets
    ITF WomenITF Australia 06A, Women Singles

    En-Shuo Liang - Zara Branković

    Match odds
    1
    1.04
    9
    2
    name
    1
    2
    sets
    En-Shuo Liang
    Zara Branković
    6
    1
    6
    2
    2
    0
    Live Sports Streaming
    6
    2
    15
    0
    15
    15
    30
    15
    40
    15
    5
    2
    15
    0
    30
    0
    40
    0
    40
    15
    4
    2
    15
    0
    15
    15
    15
    30
    15
    40
    30
    40
    4
    1
    0
    15
    0
    30
    15
    30
    30
    30
    30
    40
    40
    40
    A
    40
    3
    1
    0
    15
    15
    15
    15
    30
    30
    30
    30
    40
    40
    40
    A
    40
    2
    1
    15
    0
    15
    15
    30
    15
    40
    15
    1
    1
    15
    0
    15
    15
    30
    15
    30
    30
    30
    40
    40
    40
    A
    40
    40
    40
    A
    40
    40
    40
    40
    A
    1
    0
    15
    0
    15
    15
    30
    15
    30
    30
    40
    30
    1
    Aces
    1
    3
    Double Faults
    10
    15/18 (83%)
    Second Serve
    22/32 (69%)
    23/41 (56%)
    First Serve
    26/58 (45%)
    18/23 (78%)
    First Serve Points
    13/26 (50%)
    12/18 (67%)
    Second Serve Points
    13/32 (41%)
    3/3 (100%)
    Break Points Saved
    3/8 (37%)
    7
    Service games played
    8
    13/26 (50%)
    First serve return points
    5/23 (21%)
    19/32 (59%)
    Second serve return points
    6/18 (33%)
    5
    Break points converted
    0
    8
    Return games played
    7
    30
    Service points won
    26
    32
    Receiver points won
    11
    62
    Total points won
    37
    5
    Max points in a row
    3
    En-Shuo Liang vs Zara Branković Head 2 Head
    1 - 0
    Liang E.
    versus
    Branković Z.
    6
    1
    6
    2
    15 Mar 23
    Finished
    En-Shuo Liang Matches
    Liang E.
    versus
    Falkowska W.
    27 Feb 24
    10:40
    Liang E.
    versus
    Sebestova I.
    6
    2
    6
    2
    26 Feb 24
    Finished
    Liang E.
    versus
    Glushko L.
    7
    5
    1
    6
    65
    77
    03 Feb 24
    Finished
    Liang E.
    versus
    Uchijima M.
    7
    5
    64
    77
    1
    6
    17 Jan 24
    Finished
    Liang E.
    versus
    Hesse A.
    4
    6
    6
    2
    4
    6
    10 Jan 24
    Finished
    Zara Branković Matches
    Branković Z.
    versus
    Micic E.
    3
    6
    1
    6
    29 Oct 23
    Finished
    Narker A.
    versus
    Branković Z.
    4
    1
    18 Mar 23
    Finished
    Liang E.
    versus
    Branković Z.
    6
    1
    6
    2
    15 Mar 23
    Finished
    Mays L.
    versus
    Branković Z.
    3
    6
    0
    6
    12 Mar 23
    Finished
    Pratt N.
    versus
    Branković Z.
    1
    6
    1
    6
    12 Mar 23
    Finished

    You can follow En-Shuo Liang - Zara Branković live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). En-Shuo Liang vs Zara Branković live streaming options are also shown on this page. En-Shuo Liang vs Zara Branković (ITF Australia 06A, Women Singles 2023) will kick off at 05:55 on 15 Mar 23.

    En-Shuo Liang has won 55% of his last matches and managed to hit an average of 1.65 aces per match, while the double faults stand at 1.45 per match. En-Shuo Liang has won 7.4k € so far in the 2023 season, with a total prize money of 349.4k € in her entire career.

    On the other hand, Zara Branković has won 50% of his last matches and managed to hit an average of 1.65 aces per match, while the double faults stand at 2.85 per match. Zara Branković has won Unknown so far in the 2023 season, with a total prize money of 2.3k € in his/her entire career.

    The match will be played on red clay courts in ITF Australia 06A, Women Singles ().

    Based purely on odds, the predicted winner of the match is En-Shuo Liang. 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.