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    ITF WomenBrisbane

    Anja Nayar - Madison Schwarz

    name
    1
    2
    sets
    Anja Nayar
    Madison Schwarz
    6
    3
    6
    4
    2
    0
    Live Sports Streaming
    6
    4
    0
    15
    15
    15
    30
    15
    40
    15
    5
    4
    0
    15
    15
    15
    30
    15
    40
    15
    4
    4
    15
    0
    15
    15
    15
    30
    30
    30
    30
    40
    40
    40
    40
    A
    4
    3
    15
    0
    15
    15
    30
    15
    30
    30
    40
    30
    3
    3
    0
    15
    0
    30
    15
    30
    15
    40
    3
    2
    0
    15
    0
    30
    15
    30
    30
    30
    30
    40
    40
    40
    A
    40
    40
    40
    40
    A
    3
    1
    0
    15
    0
    30
    15
    30
    15
    40
    30
    40
    40
    40
    A
    40
    40
    40
    40
    A
    40
    40
    A
    40
    2
    1
    15
    0
    30
    0
    40
    0
    1
    1
    0
    15
    0
    30
    15
    30
    30
    30
    30
    40
    1
    0
    15
    0
    30
    0
    40
    0
    0
    Aces
    0
    2
    Double Faults
    4
    15/17 (88%)
    Second Serve
    30/34 (88%)
    36/53 (68%)
    First Serve
    36/70 (51%)
    28/36 (78%)
    First Serve Points
    19/36 (53%)
    9/17 (53%)
    Second Serve Points
    17/34 (50%)
    1/2 (50%)
    Break Points Saved
    2/6 (33%)
    9
    Service games played
    10
    17/36 (47%)
    First serve return points
    8/36 (22%)
    17/34 (50%)
    Second serve return points
    8/17 (47%)
    4
    Break points converted
    1
    10
    Return games played
    9
    37
    Service points won
    36
    34
    Receiver points won
    16
    71
    Total points won
    52
    9
    Max points in a row
    5
    Anja Nayar vs Madison Schwarz Head 2 Head
    1 - 0
    Nayar A.
    versus
    Schwarz M.
    6
    3
    6
    4
    28 Jul 22
    Finished
    Anja Nayar Matches
    Muramatsu C.
    versus
    Nayar A.
    6
    1
    6
    0
    28 Oct 23
    Finished
    Walker L.
    versus
    Nayar A.
    4
    6
    6
    3
    6
    2
    04 Oct 23
    Finished
    Thompson B.
    versus
    Nayar A.
    5
    7
    0
    6
    03 Oct 23
    Finished
    Santitto J.
    versus
    Nayar A.
    4
    6
    2
    6
    02 Oct 23
    Finished
    Nayar A.
    versus
    Jones E.
    2
    6
    67
    79
    02 Aug 23
    Finished
    Madison Schwarz Matches
    Schwarz M.
    versus
    Compuesto B.
    7
    5
    64
    77
    13
    15
    01 Aug 23
    Finished
    Pratt N.
    versus
    Schwarz M.
    0
    6
    1
    6
    31 Jul 23
    Finished
    Schwarz M.
    versus
    Gaft N.
    5
    7
    6
    4
    10
    5
    30 Jul 23
    Finished
    Leahy R.
    versus
    Schwarz M.
    6
    4
    6
    2
    25 Jul 23
    Finished
    Schwarz M.
    versus
    Ricardo M.
    3
    6
    6
    3
    10
    8
    24 Jul 23
    Finished

    You can follow Anja Nayar - Madison Schwarz live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Anja Nayar vs Madison Schwarz live streaming options are also shown on this page. Anja Nayar vs Madison Schwarz (ITF Australia 10A, Women Singles 2022) will kick off at 12:00 on 28 Jul 22.

    Anja Nayar 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. Anja Nayar has won Unknown so far in the 2022 season, with a total prize money of Unknown in her entire career.

    On the other hand, Madison Schwarz 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. Madison Schwarz has won Unknown so far in the 2022 season, with a total prize money of Unknown in his/her entire career.

    The match will be played on hardcourt outdoor courts in Brisbane (Australia).

    Based purely on odds, the predicted winner of the match is Madison Schwarz. 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.