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    ITF WomenNorman, Singles Qualifying W-ITF-USA-52A

    Jessica Failla - Jada Robinson

    Match odds
    1
    1.3
    3.4
    2
    Live Sports Streaming
    6
    3
    15
    0
    15
    15
    15
    30
    30
    30
    40
    30
    5
    3
    0
    15
    0
    30
    0
    40
    15
    40
    30
    40
    40
    40
    A
    40
    40
    40
    A
    40
    4
    3
    15
    0
    30
    0
    30
    15
    40
    15
    3
    3
    0
    15
    0
    30
    15
    30
    15
    40
    30
    40
    3
    2
    0
    15
    15
    15
    30
    15
    30
    30
    30
    40
    40
    40
    40
    A
    3
    1
    15
    0
    30
    0
    40
    0
    2
    1
    15
    0
    15
    15
    30
    15
    30
    30
    30
    40
    40
    40
    A
    40
    40
    40
    A
    40
    1
    1
    15
    0
    15
    15
    15
    30
    15
    40
    1
    0
    15
    0
    15
    15
    15
    30
    30
    30
    40
    30
    0
    Aces
    2
    8
    Double Faults
    1
    11/19 (58%)
    Second Serve
    20/21 (95%)
    43/62 (69%)
    First Serve
    27/48 (56%)
    29/43 (67%)
    First Serve Points
    13/27 (48%)
    9/19 (47%)
    Second Serve Points
    7/21 (33%)
    5/6 (83%)
    Break Points Saved
    4/9 (44%)
    8
    Service games played
    8
    14/27 (51%)
    First serve return points
    14/43 (32%)
    14/21 (66%)
    Second serve return points
    10/19 (52%)
    5
    Break points converted
    1
    8
    Return games played
    8
    38
    Service points won
    20
    28
    Receiver points won
    24
    9
    Max points in a row
    5
    Jessica Failla vs Jada Robinson Head 2 Head
    1 - 0
    Failla J.
    versus
    Robinson J.
    6
    1
    6
    3
    02 Nov 23
    Finished
    Jessica Failla Matches
    Koike E.
    versus
    Failla J.
    28 Feb 24
    04:00
    Failla J.
    versus
    Alves C.
    1
    6
    3
    6
    20 Feb 24
    Finished
    Failla J.
    versus
    Newborn R.
    6
    1
    4
    6
    6
    3
    19 Feb 24
    Finished
    Baptiste H.
    versus
    Failla J.
    6
    3
    2
    6
    6
    4
    14 Feb 24
    Finished
    Failla J.
    versus
    Zhao C.
    6
    3
    0
    6
    6
    2
    13 Feb 24
    Finished
    Jada Robinson Matches
    Partaud M.
    versus
    Robinson J.
    4
    6
    7
    6
    10
    2
    26 Feb 24
    Finished
    Zamarripa M.
    versus
    Robinson J.
    77
    63
    2
    6
    10
    5
    06 Feb 24
    Finished
    Robinson J.
    versus
    Evtimova D.
    4
    6
    6
    2
    10
    1
    05 Feb 24
    Finished
    Robinson J.
    versus
    Herrmann S.
    6
    2
    5
    7
    1
    6
    25 Jan 24
    Finished
    Svendsen J.
    versus
    Robinson J.
    6
    4
    5
    7
    5
    7
    24 Jan 24
    Finished

    You can follow Jessica Failla - Jada Robinson live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Jessica Failla vs Jada Robinson live streaming options are also shown on this page. Jessica Failla vs Jada Robinson (ITF USA 52A, Women Singles 2023) will kick off at 03:00 on 02 Nov 23.

    Jessica Failla has won 55% of his last matches and managed to hit an average of 0.35 aces per match, while the double faults stand at 3.95 per match. Jessica Failla has won 13.7k € so far in the 2023 season, with a total prize money of 42.6k € in her entire career.

    On the other hand, Jada Robinson has won 0% of his last matches and managed to hit an average of 0 aces per match, while the double faults stand at 0 per match. Jada Robinson has won Unknown so far in the 2023 season, with a total prize money of 11.7k € in his/her entire career.

    The match will be played on hardcourt indoor courts in Norman, Singles Qualifying W-ITF-USA-52A ().

    Based purely on odds, the predicted winner of the match is Jessica Failla. 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.