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    ATPNewport, Doubles

    Austin Krajicek / Vasek Pospisil - João Sousa / Jordan Thompson

    Live Sports Streaming
    Austin Krajicek / Vasek Pospisil Matches
    Krajicek A / Pospisil V
    versus
    Blumberg W / Sock J
    2
    6
    63
    77
    18 Jul 21
    Finished
    Krajicek A / Pospisil V
    versus
    Sousa J / Thompson J
    17 Jul 21
    Walkover
    Krajicek A / Pospisil V
    versus
    Reese H / Verbeek S
    6
    3
    714
    612
    15 Jul 21
    Finished
    Daniell M / Mclachlan B
    versus
    Krajicek A / Pospisil V
    5
    7
    3
    6
    13 Jul 21
    Finished
    João Sousa / Jordan Thompson Matches
    Sousa J / Thompson J
    versus
    Peers J / Polasek F
    62
    77
    5
    7
    4
    6
    02 Jul 22
    Finished
    Sousa J / Thompson J
    versus
    Middlekoop M / Saville L
    2
    6
    4
    6
    77
    64
    6
    3
    6
    3
    29 Jun 22
    Finished
    Krajicek A / Pospisil V
    versus
    Sousa J / Thompson J
    17 Jul 21
    Walkover
    Nishioka Y / Uchiyama Y
    versus
    Sousa J / Thompson J
    3
    6
    65
    77
    15 Jul 21
    Finished
    Sousa J / Thompson J
    versus
    Doumbia S / Reboul F
    6
    4
    6
    2
    14 Jul 21
    Finished

    You can follow Austin Krajicek / Vasek Pospisil - João Sousa / Jordan Thompson live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Austin Krajicek / Vasek Pospisil vs João Sousa / Jordan Thompson live streaming options are also shown on this page. Austin Krajicek / Vasek Pospisil vs João Sousa / Jordan Thompson (2021 ATP Newport, USA Men Doubles) will kick off at 03:00 on 17 Jul 21.

    The match will be played on grass courts in Newport, Doubles (USA).

    Based purely on odds, the predicted winner of the match is João Sousa / Jordan Thompson. 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.