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    ITF WomenWirral, Doubles

    Francisca Jorge / Maia Lumsden - Emily Appleton / Samantha Murray Sharan

    Match odds
    1
    1.4
    2.75
    2
    name
    1
    2
    sets
    Francisca Jorge / Maia Lumsden
    Emily Appleton / Samantha Murray Sharan
    6
    2
    7
    5
    2
    0
    Live Sports Streaming
    7
    5
    15
    0
    15
    15
    15
    30
    30
    30
    30
    40
    40
    40
    6
    5
    0
    15
    15
    15
    30
    15
    40
    15
    40
    30
    40
    40
    5
    5
    15
    0
    30
    0
    30
    15
    30
    30
    30
    40
    5
    4
    0
    15
    0
    30
    15
    30
    15
    40
    30
    40
    5
    3
    0
    15
    0
    30
    0
    40
    5
    2
    15
    0
    30
    0
    40
    0
    40
    15
    4
    2
    0
    15
    0
    30
    0
    40
    15
    40
    4
    1
    15
    0
    15
    15
    30
    15
    30
    30
    30
    40
    40
    40
    3
    1
    15
    0
    15
    15
    30
    15
    30
    30
    30
    40
    40
    40
    2
    1
    15
    0
    15
    15
    15
    30
    30
    30
    40
    30
    40
    40
    1
    1
    0
    15
    15
    15
    15
    30
    30
    30
    30
    40
    1
    0
    15
    0
    30
    0
    40
    0
    1
    Aces
    4
    1
    Double Faults
    1
    13/14 (93%)
    Second Serve
    12/13 (92%)
    44/58 (76%)
    First Serve
    44/57 (77%)
    31/44 (70%)
    First Serve Points
    26/44 (59%)
    7/14 (50%)
    Second Serve Points
    7/13 (54%)
    9/10 (90%)
    Break Points Saved
    0/4 (0%)
    10
    Service games played
    10
    18/44 (40%)
    First serve return points
    13/44 (29%)
    6/13 (46%)
    Second serve return points
    7/14 (50%)
    4
    Break points converted
    1
    10
    Return games played
    10
    38
    Service points won
    33
    24
    Receiver points won
    20
    10
    Max points in a row
    6
    Francisca Jorge / Maia Lumsden vs Emily Appleton / Samantha Murray Sharan Head 2 Head
    0 - 0
    Jorge F / Lumsden M
    versus
    Appleton E / Murray Sharan S
    6
    2
    7
    5
    27 Oct 23
    Finished
    Francisca Jorge / Maia Lumsden Matches
    Jorge F / Lumsden M
    versus
    Christie F / Gadecki O
    6
    3
    6
    1
    28 Oct 23
    Finished
    Jorge F / Lumsden M
    versus
    Appleton E / Murray Sharan S
    6
    2
    7
    5
    27 Oct 23
    Finished
    Jorge F / Lumsden M
    versus
    Rinaldo Persson K / Siskova A
    6
    4
    6
    4
    26 Oct 23
    Finished
    Jorge F / Lumsden M
    versus
    Oluwadare H / Stojsavljevic M
    6
    0
    6
    3
    24 Oct 23
    Finished
    Emily Appleton / Samantha Murray Sharan Matches
    Jorge F / Lumsden M
    versus
    Appleton E / Murray Sharan S
    6
    2
    7
    5
    27 Oct 23
    Finished
    Cascino E / Lamens S
    versus
    Appleton E / Murray Sharan S
    65
    77
    6
    3
    3
    10
    26 Oct 23
    Finished
    Brooks M / Hutchinson H
    versus
    Appleton E / Murray Sharan S
    2
    6
    2
    6
    24 Oct 23
    Finished
    Appleton E / Murray Sharan S
    versus
    Jiang X / Tang Q
    3
    6
    4
    6
    14 Jun 19
    Finished
    Brengle M / Loeb J
    versus
    Appleton E / Murray Sharan S
    4
    6
    6
    2
    8
    10
    13 Jun 19
    Finished

    You can follow Francisca Jorge / Maia Lumsden - Emily Appleton / Samantha Murray Sharan live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Francisca Jorge / Maia Lumsden vs Emily Appleton / Samantha Murray Sharan live streaming options are also shown on this page. Francisca Jorge / Maia Lumsden vs Emily Appleton / Samantha Murray Sharan (ITF Great Britain 14A, Women Doubles 2023) will kick off at 02:05 on 27 Oct 23.

    The match will be played on hardcourt indoor courts in Wirral, Doubles ().

    Based purely on odds, the predicted winner of the match is Francisca Jorge / Maia Lumsden. 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.