Piotr Pawlak - Christian Gonzalez


    Live Sports Streaming
    Piotr Pawlak vs Christian Gonzalez Head 2 Head
    0 - 0
    Pawlak P.
    versus
    Gonzalez C.
    24 Oct 22
    canceled
    Piotr Pawlak Matches
    Pawlak P.
    versus
    Thayne W.
    6
    2
    4
    6
    7
    10
    14 Nov 23
    Finished
    Pawlak P.
    versus
    Dillon J.
    6
    0
    6
    0
    13 Nov 23
    Finished
    Van Emburgh J.
    versus
    Pawlak P.
    6
    2
    6
    3
    30 Oct 23
    Finished
    Pawlak P.
    versus
    Kamrowski M.
    0
    6
    67
    79
    24 Oct 23
    Finished
    Pawlak P.
    versus
    Groenewold R.
    6
    1
    6
    0
    23 Oct 23
    Finished
    Christian Gonzalez Matches
    Pawlak P.
    versus
    Gonzalez C.
    24 Oct 22
    canceled

    You can follow Piotr Pawlak - Christian Gonzalez live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Piotr Pawlak vs Christian Gonzalez live streaming options are also shown on this page. Piotr Pawlak vs Christian Gonzalez (ITF USA F37, Men Singles 2022) will kick off at 06:00 on 24 Oct 22.

    Piotr Pawlak has won 55% of his last matches and managed to hit an average of 0.45 aces per match, while the double faults stand at 2.25 per match. Piotr Pawlak has won Unknown so far in the 2022 season, with a total prize money of Unknown in his entire career.

    On the other hand, Christian Gonzalez 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. Christian Gonzalez 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 indoor courts in USA F30 ().

    Based purely on odds, the predicted winner of the match is Christian Gonzalez. 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.