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    ITF WomenITF Czech Republic 03A, Women Singles

    Katherine Barnes - Silvia Ambrosio

    Match odds
    1
    8
    1.06
    2
    name
    1
    2
    sets
    Katherine Barnes
    Silvia Ambrosio
    1
    6
    2
    6
    0
    2
    Live Sports Streaming
    2
    6
    0
    15
    0
    30
    0
    40
    2
    5
    0
    15
    0
    30
    0
    40
    2
    4
    15
    0
    15
    15
    30
    15
    30
    30
    40
    30
    1
    4
    0
    15
    0
    30
    15
    30
    15
    40
    1
    3
    15
    0
    15
    15
    15
    30
    15
    40
    30
    40
    1
    2
    15
    0
    30
    0
    30
    15
    40
    15
    40
    30
    0
    2
    15
    0
    15
    15
    15
    30
    15
    40
    30
    40
    0
    1
    0
    15
    15
    15
    15
    30
    30
    30
    30
    40
    40
    40
    40
    A
    40
    40
    A
    40
    40
    40
    A
    40
    40
    40
    40
    A
    40
    40
    40
    A
    40
    40
    40
    A
    0
    Aces
    3
    2
    Double Faults
    4
    23/25 (92%)
    Second Serve
    19/23 (83%)
    24/49 (49%)
    First Serve
    27/50 (54%)
    7/24 (29%)
    First Serve Points
    17/27 (63%)
    10/25 (40%)
    Second Serve Points
    13/23 (57%)
    4/11 (36%)
    Break Points Saved
    3/5 (60%)
    8
    Service games played
    7
    10/27 (37%)
    First serve return points
    17/24 (70%)
    10/23 (43%)
    Second serve return points
    15/25 (60%)
    2
    Break points converted
    7
    7
    Return games played
    8
    17
    Service points won
    30
    20
    Receiver points won
    32
    6
    Max points in a row
    8
    Katherine Barnes vs Silvia Ambrosio Head 2 Head
    0 - 1
    Barnes K.
    versus
    Ambrosio S.
    1
    6
    2
    6
    06 Sep 23
    Finished
    Katherine Barnes Matches
    Barnes K.
    versus
    Safiullina M.
    19 Dec 23
    Walkover
    Barnes K.
    versus
    Aragosa A.
    64
    77
    6
    3
    10
    8
    18 Dec 23
    Finished
    Barnes K.
    versus
    Nikolenko T.
    2
    6
    4
    6
    10 Dec 23
    Finished
    Toth A.
    versus
    Barnes K.
    6
    1
    2
    6
    6
    1
    09 Dec 23
    Finished
    Mettraux M.
    versus
    Barnes K.
    0
    6
    2
    6
    08 Dec 23
    Finished
    Silvia Ambrosio Matches
    Mitu A.
    versus
    Ambrosio S.
    27 Feb 24
    11:00
    Ambrosio S.
    versus
    Von Deichmann K.
    63
    77
    0
    6
    14 Feb 24
    Finished
    Falei A.
    versus
    Ambrosio S.
    6
    0
    6
    4
    06 Feb 24
    Finished
    Ambrosio S.
    versus
    Šrámková R.
    5
    7
    2
    6
    23 Jan 24
    Finished
    Ambrosio S.
    versus
    Oliynykova O.
    77
    64
    6
    4
    22 Jan 24
    Finished

    You can follow Katherine Barnes - Silvia Ambrosio live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Katherine Barnes vs Silvia Ambrosio live streaming options are also shown on this page. Katherine Barnes vs Silvia Ambrosio (ITF Czech Republic 03A, Women Singles 2023) will kick off at 01:05 on 06 Sep 23.

    Katherine Barnes 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. Katherine Barnes has won Unknown so far in the 2023 season, with a total prize money of Unknown in her entire career.

    On the other hand, Silvia Ambrosio has won 65% of his last matches and managed to hit an average of 1.15 aces per match, while the double faults stand at 4 per match. Silvia Ambrosio has won 10.3k € so far in the 2023 season, with a total prize money of 31.2k € in his/her entire career.

    The match will be played on red clay courts in ITF Czech Republic 03A, Women Singles ().

    Based purely on odds, the predicted winner of the match is Silvia Ambrosio. 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.