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    WTAWTA Merida, Mexico Women Doubles

    Xinyu Wang / Fang-Hsien Wu - Natela Dzalamidze / Kamilla Rakhimova

    Live Sports Streaming
    Xinyu Wang / Fang-Hsien Wu Matches
    Mcnally C / Parry D
    versus
    Wang Xin / Wu F
    6
    0
    7
    5
    26 Feb 23
    Finished
    Wang Xin / Wu F
    versus
    Dzalamidze N / Rakhimova K
    25 Feb 23
    Walkover
    Wang Xin / Wu F
    versus
    Detiuc A / Hozumi E
    6
    3
    6
    4
    23 Feb 23
    Finished
    Wang Xin / Wu F
    versus
    Parks A / Stephens S
    77
    63
    77
    62
    20 Feb 23
    Finished
    Natela Dzalamidze / Kamilla Rakhimova Matches
    Dzalamidze N / Rakhimova K
    versus
    Jakupovic D / Papamichail D
    3
    6
    5
    7
    03 Apr 23
    Finished
    Marozava L / Zarazua R
    versus
    Dzalamidze N / Rakhimova K
    6
    2
    6
    3
    29 Mar 23
    Finished
    Wang Xin / Wu F
    versus
    Dzalamidze N / Rakhimova K
    25 Feb 23
    Walkover
    Dzalamidze N / Rakhimova K
    versus
    Christian K / Santamaria S
    6
    3
    6
    0
    23 Feb 23
    Finished
    Bronzetti L / Sherif M
    versus
    Dzalamidze N / Rakhimova K
    1
    6
    3
    6
    22 Feb 23
    Finished

    You can follow Xinyu Wang / Fang-Hsien Wu - Natela Dzalamidze / Kamilla Rakhimova live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Xinyu Wang / Fang-Hsien Wu vs Natela Dzalamidze / Kamilla Rakhimova live streaming options are also shown on this page. Xinyu Wang / Fang-Hsien Wu vs Natela Dzalamidze / Kamilla Rakhimova (WTA Guadalajara, Mexico Women Doubles 2023) will kick off at 04:00 on 25 Feb 23.

    The match will be played on hardcourt outdoor courts in WTA Merida, Mexico Women Doubles ().

    Based purely on odds, the predicted winner of the match is Natela Dzalamidze / Kamilla Rakhimova. 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.