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    ITF WomenBurnie

    Melisa Ercan - Mio Mushika

    Match odds
    1
    1.29
    3.5
    2
    name
    1
    2
    sets
    Melisa Ercan
    Mio Mushika
    6
    4
    6
    4
    2
    0
    Live Sports Streaming
    6
    4
    15
    0
    15
    15
    30
    15
    40
    15
    40
    30
    40
    40
    A
    40
    40
    40
    A
    40
    40
    40
    A
    40
    5
    4
    15
    0
    15
    15
    15
    30
    15
    40
    30
    40
    5
    3
    0
    15
    15
    15
    30
    15
    40
    15
    4
    3
    0
    15
    15
    15
    15
    30
    15
    40
    30
    40
    40
    40
    A
    40
    40
    40
    40
    A
    4
    2
    0
    15
    15
    15
    30
    15
    30
    30
    30
    40
    40
    40
    A
    40
    3
    2
    0
    15
    0
    30
    15
    30
    15
    40
    3
    1
    15
    0
    30
    0
    30
    15
    30
    30
    40
    30
    2
    1
    15
    0
    15
    15
    30
    15
    30
    30
    40
    30
    1
    1
    15
    0
    30
    0
    30
    15
    30
    30
    40
    30
    0
    1
    0
    15
    15
    15
    15
    30
    15
    40
    0
    Aces
    0
    5
    Double Faults
    6
    21/26 (81%)
    Second Serve
    19/25 (76%)
    34/60 (57%)
    First Serve
    36/61 (59%)
    25/34 (74%)
    First Serve Points
    22/36 (61%)
    11/26 (42%)
    Second Serve Points
    10/25 (40%)
    1/3 (33%)
    Break Points Saved
    1/5 (20%)
    10
    Service games played
    10
    14/36 (38%)
    First serve return points
    9/34 (26%)
    15/25 (60%)
    Second serve return points
    15/26 (57%)
    4
    Break points converted
    2
    10
    Return games played
    10
    36
    Service points won
    32
    29
    Receiver points won
    24
    6
    Max points in a row
    4
    Melisa Ercan vs Mio Mushika Head 2 Head
    1 - 0
    Ercan M.
    versus
    Mushika M.
    6
    4
    6
    4
    07 Feb 24
    Finished
    Melisa Ercan Matches
    Swan K.
    versus
    Ercan M.
    3
    6
    2
    6
    27 Feb 24
    Finished
    Tararudee L.
    versus
    Ercan M.
    6
    3
    6
    1
    21 Feb 24
    Finished
    Ercan M.
    versus
    Ruhrig G.
    6
    2
    6
    2
    21 Feb 24
    Finished
    Ercan M.
    versus
    Swan K.
    3
    6
    2
    6
    08 Feb 24
    Finished
    Ercan M.
    versus
    Mushika M.
    6
    4
    6
    4
    07 Feb 24
    Finished
    Mio Mushika Matches
    Kinoshita H.
    versus
    Mushika M.
    29 Feb 24
    02:00
    Matsumura H.
    versus
    Mushika M.
    28 Feb 24
    04:30
    Ercan M.
    versus
    Mushika M.
    6
    4
    6
    4
    07 Feb 24
    Finished
    Y. Ku
    versus
    Mushika M.
    62
    77
    4
    6
    05 Feb 24
    Finished
    Graovac A.
    versus
    Mushika M.
    0
    6
    1
    6
    04 Feb 24
    Finished

    You can follow Melisa Ercan - Mio Mushika live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Melisa Ercan vs Mio Mushika live streaming options are also shown on this page. Melisa Ercan vs Mio Mushika (ITF Australia 02A, Women Singles 2024) will kick off at 12:35 on 07 Feb 24.

    Melisa Ercan has won 63.16% of his last matches and managed to hit an average of 1.89 aces per match, while the double faults stand at 3.42 per match. Melisa Ercan has won 26.3k € so far in the 2024 season, with a total prize money of 41.3k € in her entire career.

    On the other hand, Mio Mushika has won 50% of his last matches and managed to hit an average of 0.6 aces per match, while the double faults stand at 2.85 per match. Mio Mushika has won 288 € so far in the 2024 season, with a total prize money of 10.8k € in his/her entire career.

    The match will be played on hardcourt outdoor courts in Burnie (Australia).

    Based purely on odds, the predicted winner of the match is Melisa Ercan. 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.