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    ITF WomenCaslano, Doubles

    Marie Benoit / Angelica Moratelli - Nina Stadler / Joanne Zuger

    name
    1
    2
    sets
    Marie Benoit / Angelica Moratelli
    Nina Stadler / Joanne Zuger
    6
    4
    6
    4
    2
    0
    Live Sports Streaming
    Marie Benoit / Angelica Moratelli vs Nina Stadler / Joanne Zuger Head 2 Head
    0 - 0
    Benoit M / Moratelli A
    versus
    Stadler N / Zuger J
    6
    4
    6
    4
    27 Aug 19
    Finished
    Marie Benoit / Angelica Moratelli Matches
    Salden L / Tauson C
    versus
    Benoit M / Moratelli A
    6
    4
    3
    6
    11
    9
    21 Feb 20
    Finished
    Benoit M / Moratelli A
    versus
    Brouleau L / Rosca I L
    5
    7
    6
    2
    10
    8
    20 Feb 20
    Finished
    Christie F / Murray Sharan S
    versus
    Benoit M / Moratelli A
    3
    6
    3
    6
    18 Feb 20
    Finished
    Benoit M / Moratelli A
    versus
    Soylu I / Von Deichmann K
    4
    6
    6
    0
    7
    10
    28 Aug 19
    Finished
    Benoit M / Moratelli A
    versus
    Stadler N / Zuger J
    6
    4
    6
    4
    27 Aug 19
    Finished
    Nina Stadler / Joanne Zuger Matches
    Benoit M / Moratelli A
    versus
    Stadler N / Zuger J
    6
    4
    6
    4
    27 Aug 19
    Finished

    You can follow Marie Benoit / Angelica Moratelli - Nina Stadler / Joanne Zuger live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Marie Benoit / Angelica Moratelli vs Nina Stadler / Joanne Zuger live streaming options are also shown on this page. Marie Benoit / Angelica Moratelli vs Nina Stadler / Joanne Zuger (2019 ITF Switzerland 04A, Women Doubles) will kick off at 12:05 on 27 Aug 19.

    The match will be played on clay courts in Caslano, Doubles ().

    Based purely on odds, the predicted winner of the match is Nina Stadler / Joanne Zuger. 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.