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    ITF MenMonastir, Singles Qualifying M-ITF-TUN-02A

    Sebastian Gima - Federico Iannaccone

    name
    1
    2
    sets
    Sebastian Gima
    Federico Iannaccone
    3
    6
    2
    6
    0
    2
    Live Sports Streaming
    2
    6
    0
    15
    15
    15
    15
    30
    30
    30
    30
    40
    40
    40
    40
    A
    40
    40
    40
    A
    2
    5
    0
    15
    0
    30
    15
    30
    15
    40
    2
    4
    0
    15
    15
    15
    15
    30
    30
    30
    40
    30
    40
    40
    A
    40
    1
    4
    0
    15
    0
    30
    15
    30
    30
    30
    40
    30
    40
    40
    40
    A
    1
    3
    15
    0
    30
    0
    40
    0
    0
    3
    15
    0
    15
    15
    15
    30
    15
    40
    0
    2
    0
    15
    0
    30
    15
    30
    15
    40
    0
    1
    0
    15
    15
    15
    15
    30
    15
    40
    2
    Aces
    0
    4
    Double Faults
    1
    25/29 (86%)
    Second Serve
    4/5 (80%)
    26/55 (47%)
    First Serve
    39/44 (89%)
    17/26 (65%)
    First Serve Points
    28/39 (72%)
    10/29 (34%)
    Second Serve Points
    3/5 (60%)
    4/9 (44%)
    Break Points Saved
    2/3 (66%)
    9
    Service games played
    8
    11/39 (28%)
    First serve return points
    9/26 (34%)
    2/5 (40%)
    Second serve return points
    19/29 (65%)
    1
    Break points converted
    5
    8
    Return games played
    9
    27
    Service points won
    31
    13
    Receiver points won
    28
    40
    Total points won
    59
    4
    Max points in a row
    5
    Sebastian Gima vs Federico Iannaccone Head 2 Head
    0 - 1
    Gima S.
    versus
    Iannaccone F.
    3
    6
    2
    6
    13 Jan 23
    Finished
    Sebastian Gima Matches
    Gima S.
    versus
    Clarke J.
    2
    6
    3
    6
    24 Feb 24
    Finished
    Ouakaa A.
    versus
    Gima S.
    2
    6
    3
    6
    24 Feb 24
    Finished
    Perfetti N.
    versus
    Gima S.
    1
    6
    4
    6
    23 Feb 24
    Finished
    Gima S.
    versus
    Borg L.
    6
    2
    6
    0
    21 Feb 24
    Finished
    Gima S.
    versus
    Cretu C.
    1
    6
    3
    6
    16 Feb 24
    Finished
    Federico Iannaccone Matches
    Bertrand R.
    versus
    Iannaccone F.
    6
    1
    6
    3
    11 Feb 24
    Finished
    Tiurnev E.
    versus
    Iannaccone F.
    6
    1
    3
    6
    2
    6
    10 Feb 24
    Finished
    Iannaccone F.
    versus
    Blanch D.
    4
    6
    6
    1
    6
    3
    09 Feb 24
    Finished
    Iannaccone F.
    versus
    Flores J.
    3
    6
    6
    2
    6
    0
    08 Feb 24
    Finished
    Iannaccone F.
    versus
    Fernandez Flores D.
    3
    6
    6
    1
    6
    1
    07 Feb 24
    Finished

    You can follow Sebastian Gima - Federico Iannaccone live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Sebastian Gima vs Federico Iannaccone live streaming options are also shown on this page. Sebastian Gima vs Federico Iannaccone (ITF Tunisia F2, Men Singles 2023) will kick off at 08:30 on 13 Jan 23.

    Sebastian Gima has won 70% of his last matches and managed to hit an average of 2.05 aces per match, while the double faults stand at 2.7 per match. Sebastian Gima has won 215 € so far in the 2023 season, with a total prize money of 22.8k € in his entire career.

    On the other hand, Federico Iannaccone has won 47.37% of his last matches and managed to hit an average of 0.42 aces per match, while the double faults stand at 1.21 per match. Federico Iannaccone has won Unknown so far in the 2023 season, with a total prize money of 29.1k € in his/her entire career.

    The match will be played on hardcourt outdoor courts in Monastir, Singles Qualifying M-ITF-TUN-02A (Tunisia).

    Based purely on odds, the predicted winner of the match is Federico Iannaccone. 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.