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    ITF WomenMonastir, Doubles W-ITF-TUN-03A

    Mariya Poduraeva / Almudena Sanz-Llaneza Fernandez - Zhima Du / Ying Zhang

    name
    1
    2
    sets
    Mariya Poduraeva / Almudena Sanz-Llaneza Fernandez
    Zhima Du / Ying Zhang
    1
    6
    2
    6
    0
    2
    Live Sports Streaming
    Mariya Poduraeva / Almudena Sanz-Llaneza Fernandez vs Zhima Du / Ying Zhang Head 2 Head
    0 - 0
    Poduraeva M / Sanz-Llaneza Fernandez A
    versus
    DU Z / Zhang Y
    1
    6
    2
    6
    24 Jan 19
    Finished
    Mariya Poduraeva / Almudena Sanz-Llaneza Fernandez Matches
    Poduraeva M / Sanz-Llaneza Fernandez A
    versus
    DU Z / Zhang Y
    1
    6
    2
    6
    24 Jan 19
    Finished
    Bizhukova T / Gaggini V
    versus
    Poduraeva M / Sanz-Llaneza Fernandez A
    5
    7
    4
    6
    23 Jan 19
    Finished
    Zhima Du / Ying Zhang Matches
    Sanz-Llaneza Fernandez A / Uberoi N
    versus
    DU Z / Zhang Y
    6
    4
    1
    6
    10
    5
    30 Jan 19
    Finished
    Ayzatulina U / Malešević T
    versus
    DU Z / Zhang Y
    6
    0
    3
    6
    10
    7
    25 Jan 19
    Finished
    Poduraeva M / Sanz-Llaneza Fernandez A
    versus
    DU Z / Zhang Y
    1
    6
    2
    6
    24 Jan 19
    Finished

    You can follow Mariya Poduraeva / Almudena Sanz-Llaneza Fernandez - Zhima Du / Ying Zhang live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Mariya Poduraeva / Almudena Sanz-Llaneza Fernandez vs Zhima Du / Ying Zhang live streaming options are also shown on this page. Mariya Poduraeva / Almudena Sanz-Llaneza Fernandez vs Zhima Du / Ying Zhang (2019 ITF Tunisia 03A, Women Doubles) will kick off at 03:25 on 24 Jan 19.

    The match will be played on hardcourt outdoor courts in Monastir, Doubles W-ITF-TUN-03A (Tunisia).

    Based purely on odds, the predicted winner of the match is Zhima Du / Ying Zhang. 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.