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    ITF WomenStare Splavy, Singles Qualifying W-WITF-CZE-01A

    Maia Lumsden - Sofya Lansere

    Match odds
    1
    2.25
    1.57
    2
    name
    1
    2
    sets
    Maia Lumsden
    Sofya Lansere
    2
    6
    2
    6
    0
    2
    Live Sports Streaming
    2
    6
    0
    15
    0
    30
    0
    40
    15
    40
    30
    40
    40
    40
    40
    A
    2
    5
    0
    15
    15
    15
    15
    30
    15
    40
    2
    4
    15
    0
    30
    0
    30
    15
    30
    30
    30
    40
    2
    3
    0
    15
    15
    15
    30
    15
    30
    30
    30
    40
    2
    2
    15
    0
    30
    0
    30
    15
    40
    15
    1
    2
    15
    0
    30
    0
    40
    0
    40
    15
    40
    30
    40
    40
    A
    40
    0
    2
    0
    15
    15
    15
    30
    15
    30
    30
    30
    40
    0
    1
    0
    15
    15
    15
    15
    30
    30
    30
    40
    30
    40
    40
    40
    A
    1
    Aces
    5
    7
    Double Faults
    6
    28/35 (80%)
    Second Serve
    12/18 (67%)
    28/63 (44%)
    First Serve
    45/63 (71%)
    17/28 (61%)
    First Serve Points
    31/45 (69%)
    11/35 (31%)
    Second Serve Points
    5/18 (28%)
    7/13 (53%)
    Break Points Saved
    7/9 (77%)
    8
    Service games played
    8
    14/45 (31%)
    First serve return points
    11/28 (39%)
    13/18 (72%)
    Second serve return points
    24/35 (68%)
    2
    Break points converted
    6
    8
    Return games played
    8
    28
    Service points won
    36
    27
    Receiver points won
    35
    55
    Total points won
    71
    4
    Max points in a row
    6
    Maia Lumsden vs Sofya Lansere Head 2 Head
    0 - 1
    Lumsden M.
    versus
    Lansere S.
    2
    6
    2
    6
    15 Mar 23
    Finished
    Maia Lumsden Matches
    Lumsden M.
    versus
    Papamichail D.
    6
    7
    1
    6
    16 Sep 23
    Finished
    Lumsden M.
    versus
    Lisicki S.
    6
    7
    4
    6
    06 Aug 23
    Finished
    Lumsden M.
    versus
    Inglis M.
    3
    6
    3
    6
    18 Jun 23
    Finished
    Lumsden M.
    versus
    Dodin O.
    5
    7
    6
    3
    3
    6
    07 Jun 23
    Finished
    Lumsden M.
    versus
    Daley D.
    6
    3
    77
    65
    05 Jun 23
    Finished
    Sofya Lansere Matches
    Yamaguchi M.
    versus
    Lansere S.
    6
    2
    6
    2
    17 Jan 24
    Finished
    Lansere S.
    versus
    Gálfi D.
    6
    3
    4
    6
    2
    6
    08 Jan 24
    Finished
    Baptiste H.
    versus
    Lansere S.
    6
    3
    7
    5
    30 Dec 23
    Finished
    Lansere S.
    versus
    Capurro Taborda M.
    6
    2
    6
    1
    29 Dec 23
    Finished
    Seidel E.
    versus
    Lansere S.
    6
    4
    77
    64
    04 Nov 23
    Finished

    You can follow Maia Lumsden - Sofya Lansere live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Maia Lumsden vs Sofya Lansere live streaming options are also shown on this page. Maia Lumsden vs Sofya Lansere (ITF Czech Republic 01A, Women Singles 2023) will kick off at 04:05 on 15 Mar 23.

    Maia Lumsden has won 55% of his last matches and managed to hit an average of 2.3 aces per match, while the double faults stand at 4.95 per match. Maia Lumsden has won 2.6k € so far in the 2023 season, with a total prize money of 104.8k € in her entire career.

    On the other hand, Sofya Lansere has won 65% of his last matches and managed to hit an average of 3.35 aces per match, while the double faults stand at 5.15 per match. Sofya Lansere has won 8k € so far in the 2023 season, with a total prize money of 59.2k € in his/her entire career.

    The match will be played on hardcourt indoor courts in Stare Splavy, Singles Qualifying W-WITF-CZE-01A ().

    Based purely on odds, the predicted winner of the match is Sofya Lansere. 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.