Na Ri Kim - Yu Jin Ahn


    Live Sports Streaming
    Na Ri Kim Matches
    Back D.
    versus
    Kim N.
    4
    1
    08 Sep 23
    Finished
    Kim N.
    versus
    Jeong B.
    6
    1
    7
    5
    07 Sep 23
    Finished
    Kim Y.
    versus
    Kim N.
    4
    6
    0
    6
    06 Sep 23
    Finished
    Kim E.
    versus
    Kim N.
    1
    6
    2
    6
    05 Sep 23
    Finished
    Hee Won Ju.
    versus
    Kim N.
    0
    6
    0
    6
    04 Sep 23
    Finished
    Yu Jin Ahn Matches
    Kim N.
    versus
    Ahn Y.
    08 Jun 22
    01:00
    Ahn Y.
    versus
    Kawagishi N.
    3
    6
    5
    7
    07 Jun 22
    Finished
    Ahn Y.
    versus
    Jang G.
    6
    1
    6
    3
    06 Jun 22
    Finished
    Kim C.
    versus
    Ahn Y.
    2
    6
    4
    6
    05 Jun 22
    Finished
    Lee G.
    versus
    Ahn Y.
    29 May 22
    02:30

    You can follow Na Ri Kim - Yu Jin Ahn live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Na Ri Kim vs Yu Jin Ahn live streaming options are also shown on this page. Na Ri Kim vs Yu Jin Ahn () will kick off at 01:00 on 08 Jun 22.

    Na Ri Kim has won 57.89% of his last matches and managed to hit an average of 0 aces per match, while the double faults stand at 0.26 per match. Na Ri Kim has won Unknown so far in the season, with a total prize money of 56.1k € in her entire career.

    On the other hand, Yu Jin Ahn 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. Yu Jin Ahn has won Unknown so far in the season, with a total prize money of Unknown in his/her entire career.

    The match will be played on hardcourt outdoor courts in ITF South Korea 04A, Women Singles ().

    Based purely on odds, the predicted winner of the match is Yu Jin Ahn. 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.