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    ITF WomenTucson, Singles Qualifying W-ITF-USA-46A

    Stacey Fung - Eryn Cayetano

    Match odds
    1
    1.1
    6.5
    2
    name
    1
    2
    sets
    Stacey Fung
    Eryn Cayetano
    4
    6
    1
    6
    0
    2
    Live Sports Streaming
    1
    6
    0
    15
    0
    30
    0
    40
    1
    5
    15
    0
    15
    15
    30
    15
    30
    30
    40
    30
    40
    40
    40
    A
    40
    40
    A
    40
    40
    40
    A
    40
    40
    40
    A
    40
    40
    40
    A
    40
    40
    40
    40
    A
    1
    4
    0
    15
    15
    15
    15
    30
    15
    40
    30
    40
    40
    40
    40
    A
    1
    3
    0
    15
    0
    30
    0
    40
    1
    2
    0
    15
    15
    15
    15
    30
    15
    40
    1
    1
    15
    0
    15
    15
    30
    15
    30
    30
    30
    40
    40
    40
    40
    A
    40
    40
    A
    40
    40
    40
    A
    40
    40
    40
    A
    40
    0
    1
    0
    15
    15
    15
    15
    30
    30
    30
    30
    40
    40
    40
    40
    A
    2
    Aces
    3
    0
    Double Faults
    2
    27/27 (100%)
    Second Serve
    24/26 (92%)
    37/64 (58%)
    First Serve
    31/57 (54%)
    19/37 (51%)
    First Serve Points
    20/31 (65%)
    8/27 (30%)
    Second Serve Points
    16/26 (62%)
    4/9 (44%)
    Break Points Saved
    3/5 (60%)
    8
    Service games played
    9
    11/31 (35%)
    First serve return points
    18/37 (48%)
    10/26 (38%)
    Second serve return points
    19/27 (70%)
    2
    Break points converted
    5
    9
    Return games played
    8
    27
    Service points won
    36
    21
    Receiver points won
    37
    3
    Max points in a row
    8
    Stacey Fung vs Eryn Cayetano Head 2 Head
    0 - 1
    Fung S.
    versus
    Cayetano E.
    4
    6
    1
    6
    12 Oct 23
    Finished
    Stacey Fung Matches
    Liu C.
    versus
    Fung S.
    6
    3
    6
    4
    25 Feb 24
    Finished
    Fung S.
    versus
    Rodriguez V.
    62
    77
    3
    6
    22 Feb 24
    Finished
    Fung S.
    versus
    Aney J.
    6
    2
    5
    7
    6
    4
    21 Feb 24
    Finished
    Fung S.
    versus
    Mcadoo R.
    6
    3
    6
    3
    20 Feb 24
    Finished
    Reami A.
    versus
    Fung S.
    6
    3
    1
    6
    7
    5
    13 Feb 24
    Finished
    Eryn Cayetano Matches
    Cayetano E.
    versus
    Hui K.
    3
    6
    3
    6
    25 Oct 23
    Finished
    Cayetano E.
    versus
    Rapolu M.
    7
    5
    77
    65
    24 Oct 23
    Finished
    Cayetano E.
    versus
    Colling S.
    6
    2
    6
    1
    23 Oct 23
    Finished
    Cayetano E.
    versus
    Han J.
    5
    7
    3
    6
    13 Oct 23
    Finished
    Fung S.
    versus
    Cayetano E.
    4
    6
    1
    6
    12 Oct 23
    Finished

    You can follow Stacey Fung - Eryn Cayetano live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Stacey Fung vs Eryn Cayetano live streaming options are also shown on this page. Stacey Fung vs Eryn Cayetano (ITF USA 46A, Women Singles 2023) will kick off at 09:40 on 12 Oct 23.

    Stacey Fung has won 55% of his last matches and managed to hit an average of 1.55 aces per match, while the double faults stand at 1.3 per match. Stacey Fung has won 32.2k € so far in the 2023 season, with a total prize money of 65.2k € in her entire career.

    On the other hand, Eryn Cayetano has won 65% of his last matches and managed to hit an average of 1.6 aces per match, while the double faults stand at 4 per match. Eryn Cayetano has won 8.3k € so far in the 2023 season, with a total prize money of 14.6k € in his/her entire career.

    The match will be played on hardcourt outdoor courts in Tucson, Singles Qualifying W-ITF-USA-46A ().

    Based purely on odds, the predicted winner of the match is Stacey Fung. 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.