Momo Arishika - Nana Kusumoto


    name
    1
    2
    sets
    Momo Arishika
    Nana Kusumoto
    6
    4
    6
    4
    2
    0
    Live Sports Streaming
    Momo Arishika vs Nana Kusumoto Head 2 Head
    1 - 0
    Arishika M.
    versus
    Kusumoto N.
    6
    4
    6
    4
    09 Oct 22
    Finished
    Momo Arishika Matches
    Morisaki K.
    versus
    Arishika M.
    6
    2
    6
    0
    09 Oct 22
    Finished
    Arishika M.
    versus
    Kusumoto N.
    6
    4
    6
    4
    09 Oct 22
    Finished
    Nana Kusumoto Matches
    Kaneyama S.
    versus
    Kusumoto N.
    6
    2
    6
    1
    20 Mar 23
    Finished
    Arishika M.
    versus
    Kusumoto N.
    6
    4
    6
    4
    09 Oct 22
    Finished
    Kusumoto N.
    versus
    Kato T.
    1
    6
    1
    6
    25 Sep 22
    Finished

    You can follow Momo Arishika - Nana Kusumoto live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Momo Arishika vs Nana Kusumoto live streaming options are also shown on this page. Momo Arishika vs Nana Kusumoto (ITF Japan 03A, Women Singles 2022) will kick off at 12:00 on 09 Oct 22.

    Momo Arishika has won 0% of his last matches and managed to hit an average of 0 aces per match, while the double faults stand at 0 per match. Momo Arishika has won Unknown so far in the 2022 season, with a total prize money of Unknown in her entire career.

    On the other hand, Nana Kusumoto has won 0% of his last matches and managed to hit an average of 0 aces per match, while the double faults stand at 0 per match. Nana Kusumoto has won Unknown so far in the 2022 season, with a total prize money of Unknown in his/her entire career.

    The match will be played on hardcourt outdoor courts in ITF Japan 03A, Women Singles (Japan).

    Based purely on odds, the predicted winner of the match is Nana Kusumoto. 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.