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    ChallengerPorto, Portugal Men Double

    Hermans M / Roelofse R - Luca Margaroli / Yasutaka Uchiyama

    name
    1
    2
    sets
    Hermans M / Roelofse R
    Luca Margaroli / Yasutaka Uchiyama
    4
    6
    2
    6
    0
    2
    Live Sports Streaming
    Hermans M / Roelofse R vs Luca Margaroli / Yasutaka Uchiyama Head 2 Head
    HER
    0 - 1
    Hermans M / Roelofse R
    versus
    Margaroli L / Uchiyama Y
    4
    6
    2
    6
    06 Jul 22
    Finished
    Hermans M / Roelofse R Matches
    Hermans M / Roelofse R
    versus
    Margaroli L / Uchiyama Y
    4
    6
    2
    6
    06 Jul 22
    Finished
    Luca Margaroli / Yasutaka Uchiyama Matches
    Margaroli L / Uchiyama Y
    versus
    Galloway R / Lawson A
    5
    7
    3
    6
    20 Jul 22
    Finished
    Margaroli L / Uchiyama Y
    versus
    Shelton B / Smith K
    3
    6
    6
    7
    13 Jul 22
    Finished
    Borges N / Cabral F
    versus
    Margaroli L / Uchiyama Y
    6
    2
    6
    1
    07 Jul 22
    Finished
    Hermans M / Roelofse R
    versus
    Margaroli L / Uchiyama Y
    4
    6
    2
    6
    06 Jul 22
    Finished
    Margaroli L / Uchiyama Y
    versus
    Bhambri Y / Myneni S
    7
    6
    2
    6
    8
    10
    30 Jun 22
    Finished

    You can follow Hermans M / Roelofse R - Luca Margaroli / Yasutaka Uchiyama live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Hermans M / Roelofse R vs Luca Margaroli / Yasutaka Uchiyama live streaming options are also shown on this page. Hermans M / Roelofse R vs Luca Margaroli / Yasutaka Uchiyama (2022 ATP Challenger Porto, Portugal Men Double) will kick off at 10:00 on 06 Jul 22.

    The match will be played on hardcourt outdoor courts in Porto, Portugal Men Double ().

    Based purely on odds, the predicted winner of the match is Luca Margaroli / Yasutaka Uchiyama. 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.