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    ITF WomenLexington

    Jones M. - Gianna Pielet

    Live Sports Streaming
    Jones M. vs Gianna Pielet Head 2 Head
    0 - 0
    Jones M.
    versus
    Pielet G.
    25 Jun 22
    canceled
    Jones M. Matches
    Jones M.
    versus
    Pielet G.
    25 Jun 22
    canceled
    Jones M.
    versus
    Bruu-Syversen F.
    4
    6
    3
    6
    22 Jun 22
    Finished
    Gianna Pielet Matches
    Okalova M.
    versus
    Pielet G.
    6
    2
    6
    2
    14 Nov 22
    Finished
    Evans T.
    versus
    Pielet G.
    6
    0
    6
    0
    28 Jun 22
    Finished
    Jones M.
    versus
    Pielet G.
    25 Jun 22
    canceled
    Pielet G.
    versus
    Kozarov K.
    1
    6
    5
    7
    25 Jun 22
    Finished
    Hsu C.
    versus
    Pielet G.
    3
    6
    1
    6
    24 Jun 22
    Finished

    You can follow Jones M. - Gianna Pielet live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Jones M. vs Gianna Pielet live streaming options are also shown on this page. Jones M. vs Gianna Pielet (ITF USA 23A, Women Singles 2022) will kick off at 04:00 on 25 Jun 22.

    Jones M. 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. Jones M. has won Unknown so far in the 2022 season, with a total prize money of Unknown in their entire career.

    On the other hand, Gianna Pielet has won 57.89% of his last matches and managed to hit an average of 2.16 aces per match, while the double faults stand at 1.95 per match. Gianna Pielet has won 1.3k € so far in the 2022 season, with a total prize money of 5.1k € in his/her entire career.

    The match will be played on hardcourt outdoor courts in Lexington ().

    Based purely on odds, the predicted winner of the match is Gianna Pielet. 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.