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    Xu Yifan / Zhaoxuan Yang - Maddison Inglis / Olivia Tjandramulia

    Live Sports Streaming
    Xu Yifan / Zhaoxuan Yang Matches
    Xu Y / Yang Z
    versus
    Melichar N / Perez E
    0
    6
    3
    6
    04 Jun 23
    Finished
    Xu Y / Yang Z
    versus
    Bonaventure Y / Udvardy P
    4
    6
    77
    63
    711
    69
    02 Jun 23
    Finished
    Xu Y / Yang Z
    versus
    Marino R / Zhu L
    7
    5
    7
    5
    01 Jun 23
    Finished
    Xu Y / Yang Z
    versus
    Krawczyk D / Olmos G
    6
    3
    6
    2
    27 May 23
    Finished
    Chan H / Chan L
    versus
    Xu Y / Yang Z
    77
    65
    0
    6
    6
    10
    25 May 23
    Finished
    Maddison Inglis / Olivia Tjandramulia Matches
    Golubić V / Teichmann J
    versus
    Stephens S / Townsend T
    09 Nov 23
    canceled
    Golubić V / Teichmann J
    versus
    Krejcikova B / Siniakova K
    63
    77
    2
    6
    07 Nov 23
    Finished
    Xu Y / Yang Z
    versus
    Golubić V / Teichmann J
    28 May 22
    Walkover
    Kichenok N / Olaru R
    versus
    Golubić V / Teichmann J
    711
    69
    4
    6
    67
    710
    26 May 22
    Finished
    Melichar N / Perez E
    versus
    Golubić V / Teichmann J
    10 May 22
    Finished

    You can follow Xu Yifan / Zhaoxuan Yang - Maddison Inglis / Olivia Tjandramulia live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Xu Yifan / Zhaoxuan Yang vs Maddison Inglis / Olivia Tjandramulia live streaming options are also shown on this page. Xu Yifan / Zhaoxuan Yang vs Maddison Inglis / Olivia Tjandramulia (2022 French Open Women Doubles) will kick off at 11:35 on 28 May 22.

    The match will be played on clay courts in Roland Garros, Doubles (France).

    Based purely on odds, the predicted winner of the match is Maddison Inglis / Olivia Tjandramulia. 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.