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    ITF MenITF China F11, Men Singles

    Niannian Feng - Yi Xin Gao

    name
    1
    2
    sets
    Niannian Feng
    Yi Xin Gao
    0
    6
    1
    6
    0
    2
    Live Sports Streaming
    Niannian Feng vs Yi Xin Gao Head 2 Head
    0 - 1
    Feng N.
    versus
    Gao Y.
    0
    6
    1
    6
    17 Sep 23
    Finished
    Niannian Feng Matches
    Feng N.
    versus
    Gao Y.
    0
    6
    1
    6
    17 Sep 23
    Finished
    Yi Xin Gao Matches
    Tsai C.
    versus
    Gao Y.
    6
    3
    6
    2
    19 Sep 23
    Finished
    Sharma T.
    versus
    Gao Y.
    0
    6
    3
    6
    18 Sep 23
    Finished
    Feng N.
    versus
    Gao Y.
    0
    6
    1
    6
    17 Sep 23
    Finished
    Gao Y.
    versus
    Pengyu Lu.
    3
    6
    2
    6
    13 Aug 23
    Finished
    Gao Y.
    versus
    Huang R.
    2
    6
    3
    6
    30 Jul 23
    Finished

    You can follow Niannian Feng - Yi Xin Gao live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Niannian Feng vs Yi Xin Gao live streaming options are also shown on this page. Niannian Feng vs Yi Xin Gao (ITF China F11, Men Singles 2023) will kick off at 02:00 on 17 Sep 23.

    Niannian Feng 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. Niannian Feng has won Unknown so far in the 2023 season, with a total prize money of Unknown in his entire career.

    On the other hand, Yi Xin Gao 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. Yi Xin Gao has won Unknown so far in the 2023 season, with a total prize money of Unknown in his/her entire career.

    The match will be played on hardcourt outdoor courts in ITF China F11, Men Singles (China).

    Based purely on odds, the predicted winner of the match is Yi Xin Gao. 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.