Carol Zhao - Kayla Day

    Match odds
    1
    4
    1.22
    2

    name
    1
    2
    sets
    Carol Zhao
    Kayla Day
    2
    6
    4
    6
    0
    2
    Live Sports Streaming
    4
    6
    0
    15
    15
    15
    30
    15
    40
    15
    40
    30
    40
    40
    A
    40
    40
    40
    40
    A
    4
    5
    0
    15
    15
    15
    30
    15
    30
    30
    30
    40
    40
    40
    A
    40
    3
    5
    0
    15
    15
    15
    15
    30
    15
    40
    3
    4
    15
    0
    15
    15
    30
    15
    40
    15
    2
    4
    0
    15
    0
    30
    0
    40
    2
    3
    0
    15
    0
    30
    0
    40
    15
    40
    30
    40
    40
    40
    A
    40
    1
    3
    0
    15
    0
    30
    0
    40
    1
    2
    0
    15
    0
    30
    15
    30
    15
    40
    1
    1
    15
    0
    15
    15
    30
    15
    40
    15
    40
    30
    40
    40
    40
    A
    1
    0
    15
    0
    30
    0
    40
    0
    40
    15
    1
    Aces
    2
    2
    Double Faults
    1
    11/13 (85%)
    Second Serve
    11/12 (92%)
    38/51 (75%)
    First Serve
    35/47 (74%)
    24/38 (63%)
    First Serve Points
    30/35 (86%)
    4/13 (31%)
    Second Serve Points
    8/12 (67%)
    4/8 (50%)
    Break Points Saved
    5/6 (83%)
    9
    Service games played
    9
    5/35 (14%)
    First serve return points
    14/38 (36%)
    4/12 (33%)
    Second serve return points
    9/13 (69%)
    1
    Break points converted
    4
    9
    Return games played
    9
    28
    Service points won
    38
    16
    Receiver points won
    27
    5
    Max points in a row
    11
    Carol Zhao vs Kayla Day Head 2 Head
    0 - 2
    Day K.
    versus
    Zhao C.
    6
    4
    3
    6
    7
    6
    30 Jul 22
    Finished
    Zhao C.
    versus
    Day K.
    2
    6
    4
    6
    15 Aug 23
    Finished
    Carol Zhao Matches
    Vickery S.
    versus
    Zhao C.
    5
    7
    77
    64
    6
    1
    24 Feb 24
    Finished
    Zhao C.
    versus
    Lepchenko V.
    2
    6
    4
    6
    19 Feb 24
    Finished
    Zhao C.
    versus
    Strakhova V.
    19 Feb 24
    canceled
    Failla J.
    versus
    Zhao C.
    6
    3
    0
    6
    6
    2
    13 Feb 24
    Finished
    Niemeier J.
    versus
    Zhao C.
    78
    66
    64
    77
    6
    2
    10 Feb 24
    Finished
    Kayla Day Matches
    Day K.
    versus
    Li A.
    3
    6
    0
    6
    25 Feb 24
    Finished
    Day K.
    versus
    Sieg M.
    6
    3
    6
    3
    24 Feb 24
    Finished
    Day K.
    versus
    Yamalapalli S.
    4
    6
    6
    1
    4
    6
    05 Feb 24
    Finished
    Day K.
    versus
    Tomova V.
    4
    6
    2
    6
    15 Jan 24
    Finished
    Day K.
    versus
    Tomova V.
    6
    3
    0
    6
    3
    6
    06 Jan 24
    Finished

    You can follow Carol Zhao - Kayla Day live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Carol Zhao vs Kayla Day live streaming options are also shown on this page. Carol Zhao vs Kayla Day (2023 WTA 125K Stanford, USA Women Singles) will kick off at 03:15 on 15 Aug 23.

    Carol Zhao has won 40% of his last matches and managed to hit an average of 1.65 aces per match, while the double faults stand at 3.3 per match. Carol Zhao has won 130.1k € so far in the 2023 season, with a total prize money of 474.4k € in her entire career.

    On the other hand, Kayla Day has won 70% of his last matches and managed to hit an average of 2.3 aces per match, while the double faults stand at 2.8 per match. Kayla Day has won 214.7k € so far in the 2023 season, with a total prize money of 620.8k € in his/her entire career.

    The match will be played on hardcourt outdoor courts in WTA 125K Stanford, USA Women Singles ().

    Based purely on odds, the predicted winner of the match is Kayla Day. 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.