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    ITF WomenLisbon

    Anna Kubareva - Giulia Pereira De Aguiar

    Match odds
    1
    1
    21
    2
    name
    1
    2
    sets
    Anna Kubareva
    Giulia Pereira De Aguiar
    6
    3
    6
    1
    2
    0
    Live Sports Streaming
    6
    1
    15
    0
    30
    0
    40
    0
    40
    15
    5
    1
    0
    15
    0
    30
    15
    30
    15
    40
    30
    40
    40
    40
    A
    40
    40
    40
    A
    40
    40
    40
    A
    40
    4
    1
    15
    0
    15
    15
    30
    15
    40
    15
    3
    1
    0
    15
    15
    15
    30
    15
    40
    15
    2
    1
    15
    0
    15
    15
    30
    15
    40
    15
    1
    1
    15
    0
    15
    15
    15
    30
    30
    30
    30
    40
    40
    40
    40
    A
    1
    0
    15
    0
    30
    0
    30
    15
    30
    30
    40
    30
    40
    40
    A
    40
    3
    Aces
    1
    1
    Double Faults
    7
    15/16 (94%)
    Second Serve
    18/25 (72%)
    28/44 (64%)
    First Serve
    26/51 (51%)
    22/28 (79%)
    First Serve Points
    17/26 (65%)
    10/16 (63%)
    Second Serve Points
    5/25 (20%)
    3/4 (75%)
    Break Points Saved
    2/7 (28%)
    8
    Service games played
    8
    9/26 (34%)
    First serve return points
    6/28 (21%)
    20/25 (80%)
    Second serve return points
    6/16 (37%)
    5
    Break points converted
    1
    8
    Return games played
    8
    32
    Service points won
    22
    29
    Receiver points won
    12
    6
    Max points in a row
    3
    Anna Kubareva vs Giulia Pereira De Aguiar Head 2 Head
    1 - 0
    Kubareva A.
    versus
    Pereira De Aguiar G.
    6
    3
    6
    1
    25 Sep 23
    Finished
    Anna Kubareva Matches
    Kubareva A.
    versus
    Kolb N.
    4
    6
    4
    6
    17 Oct 23
    Finished
    Kanev K.
    versus
    Kubareva A.
    6
    4
    4
    6
    6
    3
    27 Sep 23
    Finished
    Kubareva A.
    versus
    Hewitt D.
    2
    6
    77
    64
    10
    2
    26 Sep 23
    Finished
    Kubareva A.
    versus
    Pereira De Aguiar G.
    6
    3
    6
    1
    25 Sep 23
    Finished
    Stakusic M.
    versus
    Kubareva A.
    3
    6
    7
    5
    6
    3
    03 Sep 23
    Finished
    Giulia Pereira De Aguiar Matches
    Pereira De Aguiar G.
    versus
    Silva J.
    1
    6
    1
    6
    26 Nov 23
    Finished
    Pereira De Aguiar G.
    versus
    Mesquita C.
    2
    6
    2
    6
    23 Oct 23
    Finished
    Pereira De Aguiar G.
    versus
    Teixeira M.
    0
    6
    6
    4
    9
    11
    15 Oct 23
    Finished
    Pereira De Aguiar G.
    versus
    Bartlett A.
    15 Oct 23
    canceled
    Andrianjafitrimo T.
    versus
    Pereira De Aguiar G.
    6
    2
    6
    1
    08 Oct 23
    Finished

    You can follow Anna Kubareva - Giulia Pereira De Aguiar live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Anna Kubareva vs Giulia Pereira De Aguiar live streaming options are also shown on this page. Anna Kubareva vs Giulia Pereira De Aguiar (ITF Portugal 15A, Women Singles 2023) will kick off at 08:30 on 25 Sep 23.

    Anna Kubareva has won 60% of his last matches and managed to hit an average of 1 aces per match, while the double faults stand at 3.85 per match. Anna Kubareva has won 6.6k € so far in the 2023 season, with a total prize money of 69k € in her entire career.

    On the other hand, Giulia Pereira De Aguiar has won 0% of his last matches and managed to hit an average of 0.16 aces per match, while the double faults stand at 1.42 per match. Giulia Pereira De Aguiar has won Unknown so far in the 2023 season, with a total prize money of Unknown in his/her entire career.

    The match will be played on hardcourt outdoor courts in Lisbon (Portugal).

    Based purely on odds, the predicted winner of the match is Anna Kubareva. 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.