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    ATPAustralian Open, Mixed Doubles

    Su-Wei Hsieh / Jan Zielinski - Kevin Krawietz / Nicole Melichar-Martinez

    Match odds
    1
    1.73
    2
    2
    name
    1
    2
    sets
    Su-Wei Hsieh / Jan Zielinski
    Kevin Krawietz / Nicole Melichar-Martinez
    6
    2
    6
    3
    2
    0
    Live Sports Streaming
    6
    3
    15
    0
    30
    0
    30
    15
    40
    15
    40
    30
    5
    3
    15
    0
    30
    0
    40
    0
    40
    15
    4
    3
    15
    0
    30
    0
    30
    15
    40
    15
    40
    30
    3
    3
    15
    0
    30
    0
    40
    0
    2
    3
    0
    15
    15
    15
    30
    15
    30
    30
    40
    30
    40
    40
    2
    2
    0
    15
    15
    15
    30
    15
    40
    15
    40
    30
    1
    2
    0
    15
    15
    15
    15
    30
    30
    30
    40
    30
    40
    40
    1
    1
    0
    15
    0
    30
    15
    30
    30
    30
    40
    30
    40
    40
    0
    1
    0
    15
    0
    30
    0
    40
    7
    Aces
    2
    1
    Double Faults
    2
    12/12 (100%)
    Second Serve
    18/20 (90%)
    32/44 (73%)
    First Serve
    32/52 (62%)
    25/32 (78%)
    First Serve Points
    22/32 (69%)
    7/12 (58%)
    Second Serve Points
    5/20 (25%)
    2/2 (100%)
    Break Points Saved
    7/11 (63%)
    8
    Service games played
    9
    10/32 (31%)
    First serve return points
    7/32 (21%)
    15/20 (75%)
    Second serve return points
    5/12 (41%)
    4
    Break points converted
    0
    9
    Return games played
    8
    32
    Service points won
    27
    25
    Receiver points won
    12
    7
    Max points in a row
    6
    Su-Wei Hsieh / Jan Zielinski vs Kevin Krawietz / Nicole Melichar-Martinez Head 2 Head
    0 - 0
    Zielinski J / Hsieh S-W
    versus
    Krawietz K / Melichar-Martinez N
    6
    2
    6
    3
    23 Jan 24
    Finished
    Su-Wei Hsieh / Jan Zielinski Matches
    Zielinski J / Hsieh S-W
    versus
    Skupski N / Krawczyk D
    65
    77
    6
    4
    11
    9
    26 Jan 24
    Finished
    Harris A / Fourlis J
    versus
    Zielinski J / Hsieh S-W
    68
    710
    2
    6
    24 Jan 24
    Finished
    Zielinski J / Hsieh S-W
    versus
    Krawietz K / Melichar-Martinez N
    6
    2
    6
    3
    23 Jan 24
    Finished
    Zielinski J / Hsieh S-W
    versus
    Nys H / Schuurs D
    6
    3
    6
    2
    22 Jan 24
    Finished
    Zielinski J / Hsieh S-W
    versus
    Peers J / Birrell K
    6
    2
    6
    2
    20 Jan 24
    Finished
    Kevin Krawietz / Nicole Melichar-Martinez Matches
    Zielinski J / Hsieh S-W
    versus
    Krawietz K / Melichar-Martinez N
    6
    2
    6
    3
    23 Jan 24
    Finished
    Vavassori A / Samsonova L
    versus
    Krawietz K / Melichar-Martinez N
    68
    710
    2
    6
    21 Jan 24
    Finished
    Sweeny D / Joint M
    versus
    Krawietz K / Melichar-Martinez N
    2
    6
    4
    6
    19 Jan 24
    Finished
    Krawietz K / Melichar-Martinez N
    versus
    Andreescu B / Venus M
    6
    2
    1
    6
    8
    10
    02 Jun 23
    Finished
    Krawietz K / Melichar-Martinez N
    versus
    Bouquier A / Radovanovic N
    31 May 23
    canceled

    You can follow Su-Wei Hsieh / Jan Zielinski - Kevin Krawietz / Nicole Melichar-Martinez live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Su-Wei Hsieh / Jan Zielinski vs Kevin Krawietz / Nicole Melichar-Martinez live streaming options are also shown on this page. Su-Wei Hsieh / Jan Zielinski vs Kevin Krawietz / Nicole Melichar-Martinez (Australian Open Mixed Doubles 2024) will kick off at 04:20 on 23 Jan 24.

    The match will be played on hardcourt outdoor courts in Australian Open, Mixed Doubles (Australia).

    Based purely on odds, the predicted winner of the match is Su-Wei Hsieh / Jan Zielinski. 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.