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    ChallengerATP Challenger Rome, USA Men Double

    Draxl L / Nanda G - Yu Hsiou Hsu / Rinky Hijikata

    name
    1
    2
    3
    sets
    Draxl L / Nanda G
    Yu Hsiou Hsu / Rinky Hijikata
    4
    6
    6
    3
    5
    10
    1
    2
    Live Sports Streaming
    Draxl L / Nanda G vs Yu Hsiou Hsu / Rinky Hijikata Head 2 Head
    DNA
    0 - 1
    Draxl L / Nanda G
    versus
    Hijikata R / Hsu Y H
    4
    6
    6
    3
    5
    10
    12 Jul 22
    Finished
    Draxl L / Nanda G Matches
    Draxl L / Nanda G
    versus
    Hijikata R / Hsu Y H
    4
    6
    6
    3
    5
    10
    12 Jul 22
    Finished
    Yu Hsiou Hsu / Rinky Hijikata Matches
    Hijikata R / Hsu Y H
    versus
    Chung Y / Uchida K
    3
    6
    1
    6
    16 Nov 22
    Finished
    Hijikata R / Hsu Y H
    versus
    Gonzales R / Rungkat C
    4
    6
    6
    3
    9
    11
    09 Nov 22
    Finished
    Hijikata R / Hsu Y H
    versus
    Gonzales R / Stalder R
    6
    7
    5
    7
    15 Jul 22
    Finished
    Shelton B / Smith K
    versus
    Hijikata R / Hsu Y H
    1
    6
    4
    6
    14 Jul 22
    Finished
    Draxl L / Nanda G
    versus
    Hijikata R / Hsu Y H
    4
    6
    6
    3
    5
    10
    12 Jul 22
    Finished

    You can follow Draxl L / Nanda G - Yu Hsiou Hsu / Rinky Hijikata live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Draxl L / Nanda G vs Yu Hsiou Hsu / Rinky Hijikata live streaming options are also shown on this page. Draxl L / Nanda G vs Yu Hsiou Hsu / Rinky Hijikata (2022 ATP Challenger Rome, USA Men Doubles) will kick off at 10:55 on 12 Jul 22.

    The match will be played on hardcourt indoor courts in ATP Challenger Rome, USA Men Double ().

    Based purely on odds, the predicted winner of the match is Yu Hsiou Hsu / Rinky Hijikata. 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.