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    ITF WomenCancun, Singles W-ITF-MEX-17A

    Mao Mushika - Melissa Morales

    name
    1
    2
    sets
    Mao Mushika
    Melissa Morales
    6
    2
    6
    1
    2
    0
    Live Sports Streaming
    6
    1
    15
    0
    30
    0
    30
    15
    40
    15
    5
    1
    0
    15
    15
    15
    30
    15
    30
    30
    40
    30
    4
    1
    0
    15
    15
    15
    30
    15
    40
    15
    3
    1
    15
    0
    15
    15
    15
    30
    15
    40
    30
    40
    40
    40
    A
    40
    40
    40
    40
    A
    3
    0
    15
    0
    15
    15
    30
    15
    40
    15
    40
    30
    40
    40
    40
    A
    40
    40
    A
    40
    2
    0
    15
    0
    15
    15
    15
    30
    30
    30
    30
    40
    40
    40
    A
    40
    1
    0
    0
    15
    0
    30
    15
    0
    30
    0
    40
    0
    40
    15
    40
    30
    40
    40
    A
    40
    1
    Aces
    1
    0
    Double Faults
    2
    17/17 (100%)
    Second Serve
    17/19 (89%)
    32/49 (65%)
    First Serve
    28/47 (60%)
    22/32 (69%)
    First Serve Points
    14/28 (50%)
    10/17 (59%)
    Second Serve Points
    6/19 (32%)
    2/3 (66%)
    Break Points Saved
    2/7 (28%)
    8
    Service games played
    7
    14/28 (50%)
    First serve return points
    10/32 (31%)
    13/19 (68%)
    Second serve return points
    7/17 (41%)
    5
    Break points converted
    1
    7
    Return games played
    8
    32
    Service points won
    20
    27
    Receiver points won
    17
    59
    Total points won
    37
    5
    Max points in a row
    4
    Mao Mushika vs Melissa Morales Head 2 Head
    1 - 0
    Mushika M.
    versus
    Morales M.
    6
    2
    6
    1
    16 Aug 22
    Finished
    Mao Mushika Matches
    Mushika M.
    versus
    Joint M.
    4
    6
    77
    65
    3
    6
    18 Dec 23
    Finished
    Mushika M.
    versus
    Aristegui M.
    6
    2
    6
    1
    15 Dec 23
    Finished
    Bayerlová M.
    versus
    Mushika M.
    1
    6
    5
    7
    14 Dec 23
    Finished
    Ogata H.
    versus
    Mushika M.
    5
    7
    61
    77
    13 Dec 23
    Finished
    Thompson B.
    versus
    Mushika M.
    6
    77
    2
    6
    13 Dec 23
    Finished
    Melissa Morales Matches
    Morales M.
    versus
    Savanna LY.
    7
    5
    5
    7
    2
    6
    20 Jun 23
    Finished
    Morales M.
    versus
    Seha YU.
    7
    5
    5
    7
    7
    10
    12 Jun 23
    Finished
    Morales M.
    versus
    Kosan K.
    1
    6
    5
    7
    05 Jun 23
    Finished
    Padilla Udaeta C.
    versus
    Morales M.
    66
    78
    2
    6
    14 Apr 23
    Finished
    Herazo González M.
    versus
    Morales M.
    6
    1
    6
    3
    13 Apr 23
    Finished

    You can follow Mao Mushika - Melissa Morales live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Mao Mushika vs Melissa Morales live streaming options are also shown on this page. Mao Mushika vs Melissa Morales (ITF Mexico 17A, Women Singles 2022) will kick off at 03:30 on 16 Aug 22.

    Mao Mushika has won 40% of his last matches and managed to hit an average of 1.45 aces per match, while the double faults stand at 2.35 per match. Mao Mushika has won Unknown so far in the 2022 season, with a total prize money of Unknown in her entire career.

    On the other hand, Melissa Morales has won 45% of his last matches and managed to hit an average of 1.15 aces per match, while the double faults stand at 5.75 per match. Melissa Morales has won Unknown so far in the 2022 season, with a total prize money of 18.9k € in his/her entire career.

    The match will be played on hardcourt outdoor courts in Cancun, Singles W-ITF-MEX-17A ().

    Based purely on odds, the predicted winner of the match is Melissa Morales. 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.