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    ITF MenUSA F7, Doubles

    Igor Marcondes / Evan Zhu - Nicaise Muamba / Jordan Parker

    name
    1
    2
    sets
    Igor Marcondes / Evan Zhu
    Nicaise Muamba / Jordan Parker
    6
    4
    6
    4
    2
    0
    Live Sports Streaming
    6
    Aces
    2
    1
    Double Faults
    3
    16/17 (94%)
    Second Serve
    21/24 (88%)
    35/52 (67%)
    First Serve
    31/55 (56%)
    29/35 (83%)
    First Serve Points
    19/31 (61%)
    9/17 (53%)
    Second Serve Points
    15/24 (63%)
    21
    Receiver points won
    14
    7
    Max points in a row
    4
    59
    Points won
    48
    3/5 (60%)
    Break points
    1/4 (25%)
    Igor Marcondes / Evan Zhu vs Nicaise Muamba / Jordan Parker Head 2 Head
    0 - 0
    Ribeiro Marcondes I / Zhu E
    versus
    Muamba N / Parker J
    6
    4
    6
    4
    20 Jul 21
    Finished
    Igor Marcondes / Evan Zhu Matches
    Ribeiro Marcondes I / Zhu E
    versus
    Meister N / Montsi S
    4
    6
    4
    6
    22 Jul 21
    Finished
    Ribeiro Marcondes I / Zhu E
    versus
    Muamba N / Parker J
    6
    4
    6
    4
    20 Jul 21
    Finished
    Nicaise Muamba / Jordan Parker Matches
    Ribeiro Marcondes I / Zhu E
    versus
    Muamba N / Parker J
    6
    4
    6
    4
    20 Jul 21
    Finished

    You can follow Igor Marcondes / Evan Zhu - Nicaise Muamba / Jordan Parker live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Igor Marcondes / Evan Zhu vs Nicaise Muamba / Jordan Parker live streaming options are also shown on this page. Igor Marcondes / Evan Zhu vs Nicaise Muamba / Jordan Parker (2021 ITF USA F9, Men Doubles) will kick off at 06:15 on 20 Jul 21.

    The match will be played on hardcourt outdoor courts in USA F7, Doubles ().

    Based purely on odds, the predicted winner of the match is Nicaise Muamba / Jordan Parker. 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.