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    ChallengerBaotou, China, Doubles

    Oliveira G / Saville L - Gabashvili T / Mukund S

    OSA
    GMU
    name
    1
    2
    3
    sets
    Oliveira G / Saville L
    Gabashvili T / Mukund S
    3
    6
    6
    3
    11
    13
    1
    2
    Live Sports Streaming
    Oliveira G / Saville L vs Gabashvili T / Mukund S Head 2 Head
    OSA
    0 - 1
    GMU
    Oliveira G / Saville L
    versus
    Gabashvili T / Mukund S
    3
    6
    6
    3
    11
    13
    31 Aug 19
    Finished
    Oliveira G / Saville L Matches
    Oliveira G / Saville L
    versus
    Gabashvili T / Mukund S
    3
    6
    6
    3
    11
    13
    31 Aug 19
    Finished
    Oliveira G / Saville L
    versus
    Bai Y / Yang T-H
    4
    6
    77
    64
    10
    7
    30 Aug 19
    Finished
    Oliveira G / Saville L
    versus
    HUA R / Zhang Z
    6
    2
    6
    2
    28 Aug 19
    Finished
    Gabashvili T / Mukund S Matches
    Oliveira G / Saville L
    versus
    Gabashvili T / Mukund S
    3
    6
    6
    3
    11
    13
    31 Aug 19
    Finished
    Gabashvili T / Mukund S
    versus
    Tseng C H / Wu T-L
    3
    6
    6
    3
    10
    4
    30 Aug 19
    Finished
    Fruttero J P / Kadhe A
    versus
    Gabashvili T / Mukund S
    3
    6
    3
    6
    29 Aug 19
    Finished

    You can follow Oliveira G / Saville L - Gabashvili T / Mukund S live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Oliveira G / Saville L vs Gabashvili T / Mukund S live streaming options are also shown on this page. Oliveira G / Saville L vs Gabashvili T / Mukund S (2019 ATP Challenger Baotou, China Men Double) will kick off at 07:50 on 31 Aug 19.

    The match will be played on clay courts in Baotou, China, Doubles ().

    Based purely on odds, the predicted winner of the match is Gabashvili T / Mukund S. 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.