Federica Di Sarra - Emily Appleton

    Match odds
    1
    1.67
    2.1
    2

    name
    1
    2
    3
    sets
    Federica Di Sarra
    Emily Appleton
    0
    6
    6
    1
    2
    6
    1
    2
    Live Sports Streaming
    2
    6
    0
    15
    15
    15
    15
    30
    15
    40
    2
    5
    0
    15
    0
    30
    0
    40
    15
    40
    2
    4
    0
    15
    15
    15
    15
    30
    15
    40
    30
    40
    2
    3
    0
    15
    15
    15
    15
    30
    30
    30
    30
    40
    40
    40
    A
    40
    1
    3
    15
    0
    15
    15
    15
    30
    15
    40
    1
    2
    0
    15
    0
    30
    15
    30
    15
    40
    30
    40
    40
    40
    40
    A
    1
    1
    15
    0
    15
    15
    30
    15
    40
    15
    0
    1
    15
    0
    15
    15
    30
    15
    30
    30
    30
    40
    1
    Aces
    3
    4
    Double Faults
    4
    21/25 (84%)
    Second Serve
    24/28 (86%)
    37/62 (60%)
    First Serve
    36/64 (56%)
    21/37 (57%)
    First Serve Points
    24/36 (67%)
    9/25 (36%)
    Second Serve Points
    13/28 (46%)
    2/8 (25%)
    Break Points Saved
    2/5 (40%)
    11
    Service games played
    10
    12/36 (33%)
    First serve return points
    16/37 (43%)
    15/28 (53%)
    Second serve return points
    16/25 (64%)
    3
    Break points converted
    6
    10
    Return games played
    11
    30
    Service points won
    37
    27
    Receiver points won
    32
    5
    Max points in a row
    5
    Federica Di Sarra vs Emily Appleton Head 2 Head
    0 - 2
    Di Sarra F.
    versus
    Appleton E.
    2
    6
    1
    6
    25 Oct 22
    Finished
    Di Sarra F.
    versus
    Appleton E.
    0
    6
    6
    1
    2
    6
    01 Aug 23
    Finished
    Federica Di Sarra Matches
    Di Sarra F.
    versus
    Ren Y.
    6
    2
    3
    6
    2
    6
    26 Feb 24
    Finished
    Ibragimova A.
    versus
    Di Sarra F.
    6
    2
    6
    0
    05 Feb 24
    Finished
    Tubello A.
    versus
    Di Sarra F.
    4
    6
    6
    4
    610
    712
    04 Feb 24
    Finished
    Di Sarra F.
    versus
    Bolkvadze M.
    1
    6
    6
    3
    1
    6
    31 Jan 24
    Finished
    Romero Gormaz L.
    versus
    Di Sarra F.
    77
    62
    6
    2
    25 Jan 24
    Finished
    Emily Appleton Matches
    Tikhonova A.
    versus
    Appleton E.
    28 Feb 24
    09:00
    Appleton E.
    versus
    Desperrier G.
    6
    4
    63
    77
    7
    5
    26 Feb 24
    Finished
    Appleton E.
    versus
    Schunk N.
    4
    6
    2
    6
    14 Feb 24
    Finished
    Appleton E.
    versus
    Van Impe A.
    6
    4
    6
    2
    12 Feb 24
    Finished
    Appleton E.
    versus
    Seidel E.
    3
    6
    1
    6
    06 Feb 24
    Finished

    You can follow Federica Di Sarra - Emily Appleton live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Federica Di Sarra vs Emily Appleton live streaming options are also shown on this page. Federica Di Sarra vs Emily Appleton (ITF Italy 11A, Women Singles 2023) will kick off at 11:40 on 01 Aug 23.

    Federica Di Sarra has won 63.16% of his last matches and managed to hit an average of 0.95 aces per match, while the double faults stand at 5.11 per match. Federica Di Sarra has won 3.3k € so far in the 2023 season, with a total prize money of 212.6k € in her entire career.

    On the other hand, Emily Appleton has won 45% of his last matches and managed to hit an average of 3.2 aces per match, while the double faults stand at 4.55 per match. Emily Appleton has won 2.2k € so far in the 2023 season, with a total prize money of 46.9k € in his/her entire career.

    The match will be played on red clay courts in ITF Italy 11A, Women Singles ().

    Based purely on odds, the predicted winner of the match is Federica Di Sarra. 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.