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    ITF WomenITF Argentina 10A, Women Singles

    Victoria Rodriguez - Camila Romero

    Match odds
    1
    1.08
    7
    2
    name
    1
    2
    sets
    Victoria Rodriguez
    Camila Romero
    6
    2
    6
    3
    2
    0
    Live Sports Streaming
    6
    3
    15
    0
    30
    0
    30
    15
    40
    15
    40
    30
    5
    3
    0
    15
    15
    15
    30
    15
    30
    30
    30
    40
    5
    2
    15
    0
    30
    0
    40
    0
    4
    2
    15
    0
    30
    0
    40
    0
    3
    2
    15
    0
    15
    15
    15
    30
    30
    30
    30
    40
    40
    40
    A
    40
    2
    2
    0
    15
    0
    30
    15
    30
    15
    40
    30
    40
    2
    1
    15
    0
    30
    0
    30
    15
    30
    30
    30
    40
    2
    0
    15
    0
    30
    0
    30
    15
    40
    15
    1
    0
    15
    0
    30
    0
    40
    0
    1
    Aces
    1
    1
    Double Faults
    3
    9/10 (90%)
    Second Serve
    22/25 (88%)
    35/45 (78%)
    First Serve
    25/50 (50%)
    22/35 (63%)
    First Serve Points
    10/25 (40%)
    7/10 (70%)
    Second Serve Points
    10/25 (40%)
    3/5 (60%)
    Break Points Saved
    3/9 (33%)
    8
    Service games played
    9
    15/25 (60%)
    First serve return points
    13/35 (37%)
    15/25 (60%)
    Second serve return points
    3/10 (30%)
    6
    Break points converted
    2
    9
    Return games played
    8
    29
    Service points won
    20
    30
    Receiver points won
    16
    11
    Max points in a row
    6
    Victoria Rodriguez vs Camila Romero Head 2 Head
    2 - 0
    Romero C.
    versus
    Rodriguez V.
    4
    6
    6
    3
    1
    6
    25 Aug 22
    Finished
    Rodriguez V.
    versus
    Romero C.
    6
    2
    6
    3
    04 Oct 23
    Finished
    Victoria Rodriguez Matches
    Rodriguez V.
    versus
    Lahey A.
    28 Feb 24
    04:00
    Rodriguez V.
    versus
    Loeb J.
    6
    2
    2
    6
    3
    6
    23 Feb 24
    Finished
    Fung S.
    versus
    Rodriguez V.
    62
    77
    3
    6
    22 Feb 24
    Finished
    Rodriguez V.
    versus
    Sánchez A.
    6
    4
    6
    4
    21 Feb 24
    Finished
    Lodikova D.
    versus
    Rodriguez V.
    3
    6
    3
    6
    20 Feb 24
    Finished
    Camila Romero Matches
    Romero C.
    versus
    Zeballos N.
    27 Feb 24
    03:00
    Romero C.
    versus
    In-Albon Y.
    3
    6
    2
    6
    24 Jan 24
    Finished
    Romero C.
    versus
    Hertel A.
    6
    2
    62
    77
    6
    1
    23 Jan 24
    Finished
    Romero C.
    versus
    Merlo R.
    6
    1
    77
    65
    22 Jan 24
    Finished
    Romero C.
    versus
    BIA Bernardes B.
    6
    2
    6
    2
    21 Jan 24
    Finished

    You can follow Victoria Rodriguez - Camila Romero live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Victoria Rodriguez vs Camila Romero live streaming options are also shown on this page. Victoria Rodriguez vs Camila Romero (ITF Argentina 10A, Women Singles 2023) will kick off at 01:00 on 04 Oct 23.

    Victoria Rodriguez has won 55% of his last matches and managed to hit an average of 0.5 aces per match, while the double faults stand at 1.4 per match. Victoria Rodriguez has won 11.3k € so far in the 2023 season, with a total prize money of 155.5k € in her entire career.

    On the other hand, Camila Romero has won 40% of his last matches and managed to hit an average of 0.9 aces per match, while the double faults stand at 2.65 per match. Camila Romero has won 3.6k € so far in the 2023 season, with a total prize money of 15.3k € in his/her entire career.

    The match will be played on red clay courts in ITF Argentina 10A, Women Singles ().

    Based purely on odds, the predicted winner of the match is Victoria Rodriguez. 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.