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    WTAUS Open

    Ann Li - María Camila Osorio Serrano

    Match odds
    1
    2.02
    1.82
    2
    name
    1
    2
    3
    sets
    Ann Li
    María Camila Osorio Serrano
    6
    1
    3
    6
    1
    6
    1
    2
    Live Sports Streaming
    1
    6
    15
    0
    15
    15
    30
    15
    30
    30
    30
    40
    1
    5
    0
    15
    0
    30
    0
    40
    15
    40
    30
    40
    1
    4
    15
    0
    30
    0
    30
    15
    30
    30
    30
    40
    1
    3
    15
    0
    30
    0
    30
    15
    30
    30
    30
    40
    1
    2
    15
    0
    30
    0
    40
    0
    40
    15
    40
    30
    40
    40
    A
    40
    40
    40
    A
    40
    0
    2
    15
    0
    15
    15
    15
    30
    15
    40
    30
    40
    0
    1
    0
    15
    0
    30
    15
    30
    15
    40
    2
    Aces
    2
    2
    Double Faults
    4
    36/38 (95%)
    Second Serve
    12/16 (75%)
    51/89 (57%)
    First Serve
    53/69 (77%)
    27/51 (53%)
    First Serve Points
    32/53 (60%)
    16/38 (42%)
    Second Serve Points
    5/16 (31%)
    4/10 (40%)
    Break Points Saved
    2/6 (33%)
    12
    Service games played
    11
    21/53 (39%)
    First serve return points
    24/51 (47%)
    11/16 (68%)
    Second serve return points
    22/38 (57%)
    4
    Break points converted
    6
    11
    Return games played
    12
    43
    Service points won
    37
    32
    Receiver points won
    46
    75
    Total points won
    83
    9
    Max points in a row
    7
    Ann Li vs María Camila Osorio Serrano Head 2 Head
    1 - 1
    Osorio C.
    versus
    Li A.
    1
    6
    4
    6
    24 Oct 21
    Finished
    Li A.
    versus
    Osorio C.
    6
    1
    3
    6
    1
    6
    29 Aug 22
    Finished
    Ann Li Matches
    Li A.
    versus
    Kostyuk M.
    4
    6
    6
    4
    2
    6
    27 Feb 24
    Finished
    Day K.
    versus
    Li A.
    3
    6
    0
    6
    25 Feb 24
    Finished
    Ahn A.
    versus
    Li A.
    5
    7
    5
    7
    24 Feb 24
    Finished
    Li A.
    versus
    Riera J.
    6
    3
    5
    7
    0
    1
    19 Feb 24
    Finished
    Li A.
    versus
    Burillo Escorihuela I.
    4
    6
    6
    1
    3
    6
    13 Feb 24
    Finished
    María Camila Osorio Serrano Matches
    Osorio C.
    versus
    Cornet A.
    6
    3
    6
    2
    27 Feb 24
    Finished
    Osorio C.
    versus
    Plíšková Ka.
    2
    6
    1
    6
    08 Feb 24
    Finished
    Tomova V.
    versus
    Osorio C.
    2
    6
    4
    6
    05 Feb 24
    Finished
    Maria T.
    versus
    Osorio C.
    7
    5
    64
    77
    6
    4
    15 Jan 24
    Finished
    Schmiedlová A.
    versus
    Osorio C.
    1
    6
    77
    64
    7
    5
    08 Jan 24
    Finished

    You can follow Ann Li - María Camila Osorio Serrano live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Ann Li vs María Camila Osorio Serrano live streaming options are also shown on this page. Ann Li vs María Camila Osorio Serrano (US Open Women Singles 2022) will kick off at 03:00 on 29 Aug 22.

    Ann Li has won 35% of his last matches and managed to hit an average of 2.05 aces per match, while the double faults stand at 2.9 per match. Ann Li has won 326.7k € so far in the 2022 season, with a total prize money of 1.1M € in her entire career.

    On the other hand, María Camila Osorio Serrano has won 36.84% of his last matches and managed to hit an average of 0.95 aces per match, while the double faults stand at 4.21 per match. María Camila Osorio Serrano has won 303.3k € so far in the 2022 season, with a total prize money of 797.9k € in his/her entire career.

    The match will be played on hardcourt outdoor courts in US Open (USA).

    Based purely on odds, the predicted winner of the match is María Camila Osorio Serrano. 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.