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    ITF MenSanto Domingo Doubles Main

    Peter Bertran / Kosuke Ogura - Piotr Galus / Maikel De Boes

    Match odds
    1
    1.25
    3.75
    2
    name
    1
    2
    3
    sets
    Peter Bertran / Kosuke Ogura
    Piotr Galus / Maikel De Boes
    6
    2
    3
    6
    8
    10
    1
    2
    Live Sports Streaming
    Peter Bertran / Kosuke Ogura vs Piotr Galus / Maikel De Boes Head 2 Head
    0 - 0
    Bertran P / Ogura K
    versus
    de Boes M / Galus P
    6
    2
    3
    6
    8
    10
    16 Nov 23
    Finished
    Peter Bertran / Kosuke Ogura Matches
    Bertran P / Ogura K
    versus
    de Boes M / Galus P
    6
    2
    3
    6
    8
    10
    16 Nov 23
    Finished
    Bertran P / Ogura K
    versus
    Jones A / Jones M
    6
    4
    6
    3
    14 Nov 23
    Finished
    Piotr Galus / Maikel De Boes Matches
    de Boes M / Galus P
    versus
    Asaba A / Nortey I
    7
    5
    6
    4
    19 Nov 23
    Finished
    de Boes M / Galus P
    versus
    Chepik A / Ruehl T
    18 Nov 23
    Walkover
    Bertran P / Ogura K
    versus
    de Boes M / Galus P
    6
    2
    3
    6
    8
    10
    16 Nov 23
    Finished
    de Boes M / Galus P
    versus
    Cid Subervi R / Munoz E
    6
    4
    6
    3
    14 Nov 23
    Finished

    You can follow Peter Bertran / Kosuke Ogura - Piotr Galus / Maikel De Boes live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Peter Bertran / Kosuke Ogura vs Piotr Galus / Maikel De Boes live streaming options are also shown on this page. Peter Bertran / Kosuke Ogura vs Piotr Galus / Maikel De Boes (ITF Dominican Republic F6, Men Doubles 2023) will kick off at 07:00 on 16 Nov 23.

    The match will be played on hardcourt outdoor courts in Santo Domingo Doubles Main ().

    Based purely on odds, the predicted winner of the match is Peter Bertran / Kosuke Ogura. 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.