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    ITF WomenTokyo, Doubles

    Yui Chikaraishi / Honoka Kobayashi - Morisaki K / Yonehara M

    name
    1
    2
    sets
    Yui Chikaraishi / Honoka Kobayashi
    Morisaki K / Yonehara M
    0
    6
    4
    6
    0
    2
    Live Sports Streaming
    Yui Chikaraishi / Honoka Kobayashi vs Morisaki K / Yonehara M Head 2 Head
    0 - 0
    MYO
    Chikaraishi Y / Kobayashi H
    versus
    Morisaki K / Yonehara M
    0
    6
    4
    6
    27 Aug 19
    Finished
    Yui Chikaraishi / Honoka Kobayashi Matches
    Chikaraishi Y / Kobayashi H
    versus
    Morisaki K / Yonehara M
    0
    6
    4
    6
    27 Aug 19
    Finished
    Morisaki K / Yonehara M Matches
    Morisaki K / Yonehara M
    versus
    Choi J-H / Han N-L
    62
    77
    1
    6
    15 Nov 19
    Finished
    Hibino N / Kato M
    versus
    Morisaki K / Yonehara M
    3
    6
    2
    6
    14 Nov 19
    Finished
    Morisaki K / Yonehara M
    versus
    Cheong N / Ushijima R
    6
    1
    6
    4
    12 Nov 19
    Finished
    Hondo S / Ueda R
    versus
    Morisaki K / Yonehara M
    2
    6
    6
    3
    10
    3
    18 Oct 19
    Finished
    Shimoji N / Yoshioka K
    versus
    Morisaki K / Yonehara M
    1
    6
    3
    6
    17 Oct 19
    Finished

    You can follow Yui Chikaraishi / Honoka Kobayashi - Morisaki K / Yonehara M live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Yui Chikaraishi / Honoka Kobayashi vs Morisaki K / Yonehara M live streaming options are also shown on this page. Yui Chikaraishi / Honoka Kobayashi vs Morisaki K / Yonehara M (2019 ITF Japan 14A, Women Doubles) will kick off at 05:35 on 27 Aug 19.

    The match will be played on synthetic outdoor courts in Tokyo, Doubles ().

    Based purely on odds, the predicted winner of the match is Morisaki K / Yonehara M. 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.