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    ChallengerBraga, Portugal, Doubles

    Granollers G / Neis F - Cuevas M / Karlovskiy E

    GNE
    CKA
    name
    1
    2
    3
    sets
    Granollers G / Neis F
    Cuevas M / Karlovskiy E
    3
    6
    6
    1
    10
    2
    2
    1
    Live Sports Streaming
    Granollers G / Neis F vs Cuevas M / Karlovskiy E Head 2 Head
    GNE
    1 - 0
    CKA
    Granollers G / Neis F
    versus
    Cuevas M / Karlovskiy E
    3
    6
    6
    1
    10
    2
    11 May 19
    Finished
    Granollers G / Neis F Matches
    Granollers G / Neis F
    versus
    Cuevas M / Karlovskiy E
    3
    6
    6
    1
    10
    2
    11 May 19
    Finished
    Granollers G / Neis F
    versus
    Martos Gornes S / Roca Batalla O
    6
    3
    6
    3
    10 May 19
    Finished
    Granollers G / Neis F
    versus
    Gombos N / Zopp J
    6
    4
    6
    2
    08 May 19
    Finished
    Cuevas M / Karlovskiy E Matches
    Granollers G / Neis F
    versus
    Cuevas M / Karlovskiy E
    3
    6
    6
    1
    10
    2
    11 May 19
    Finished
    Cuevas M / Karlovskiy E
    versus
    Luz O / Matos R
    7
    5
    4
    6
    10
    5
    10 May 19
    Finished
    Bonzi B / Martinez L
    versus
    Cuevas M / Karlovskiy E
    7
    5
    4
    6
    8
    10
    09 May 19
    Finished

    You can follow Granollers G / Neis F - Cuevas M / Karlovskiy E live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Granollers G / Neis F vs Cuevas M / Karlovskiy E live streaming options are also shown on this page. Granollers G / Neis F vs Cuevas M / Karlovskiy E (2019 ATP Challenger Braga, Portugal Men Double) will kick off at 02:20 on 11 May 19.

    The match will be played on clay courts in Braga, Portugal, Doubles (Portugal).

    Based purely on odds, the predicted winner of the match is Cuevas M / Karlovskiy E. 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.