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    ChallengerRome, Italy Men Double

    Diego Hidalgo / Patrik Niklas-Salminen - De Loore J / Geerts M

    Match odds
    1
    1.4
    2.75
    2
    name
    1
    2
    sets
    Diego Hidalgo / Patrik Niklas-Salminen
    De Loore J / Geerts M
    6
    4
    7
    6
    2
    0
    Live Sports Streaming
    Diego Hidalgo / Patrik Niklas-Salminen vs De Loore J / Geerts M Head 2 Head
    0 - 0
    D/G
    Hidalgo D / Niklas-Salminen P
    versus
    De Loore J / Geerts M
    6
    4
    7
    6
    25 Apr 23
    Finished
    Diego Hidalgo / Patrik Niklas-Salminen Matches
    Hidalgo D / Niklas-Salminen P
    versus
    Golubev A / Molchanov D
    3
    6
    6
    2
    4
    10
    27 Apr 23
    Finished
    Hidalgo D / Niklas-Salminen P
    versus
    De Loore J / Geerts M
    6
    4
    7
    6
    25 Apr 23
    Finished
    De Loore J / Geerts M Matches
    De Loore J / Geerts M
    versus
    Dutra Da Silva D / Pucinelli De Almeida M
    19 Jul 23
    Walkover
    Hidalgo D / Niklas-Salminen P
    versus
    De Loore J / Geerts M
    6
    4
    7
    6
    25 Apr 23
    Finished
    Jebens H / Schell N
    versus
    De Loore J / Geerts M
    6
    4
    6
    3
    21 Feb 23
    Finished

    You can follow Diego Hidalgo / Patrik Niklas-Salminen - De Loore J / Geerts M live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Diego Hidalgo / Patrik Niklas-Salminen vs De Loore J / Geerts M live streaming options are also shown on this page. Diego Hidalgo / Patrik Niklas-Salminen vs De Loore J / Geerts M (ATP Challenger Rome, Italy Men Double 2023) will kick off at 11:30 on 25 Apr 23.

    The match will be played on red clay courts in Rome, Italy Men Double (Italy).

    Based purely on odds, the predicted winner of the match is Diego Hidalgo / Patrik Niklas-Salminen. 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.