Maria Ines Fonte / Lisa Ponomar - Leonie Küng / Valeria Savinykh


    name
    1
    2
    sets
    Maria Ines Fonte / Lisa Ponomar
    Leonie Küng / Valeria Savinykh
    4
    6
    2
    6
    0
    2
    Live Sports Streaming
    0
    Aces
    0
    3
    Double Faults
    2
    13/16 (81%)
    Second Serve
    9/11 (82%)
    37/53 (70%)
    First Serve
    42/53 (79%)
    22/37 (59%)
    First Serve Points
    29/42 (69%)
    9/16 (56%)
    Second Serve Points
    6/11 (55%)
    18
    Receiver points won
    22
    7
    Max points in a row
    7
    49
    Points won
    57
    1/8 (13%)
    Break points
    4/8 (50%)
    Maria Ines Fonte / Lisa Ponomar vs Leonie Küng / Valeria Savinykh Head 2 Head
    Fonte M I / Ponomar L
    versus
    Kung L / Savinykh V
    4
    6
    2
    6
    29 Sep 20
    Finished
    Maria Ines Fonte / Lisa Ponomar Matches
    Fonte M I / Ponomar L
    versus
    Kung L / Savinykh V
    4
    6
    2
    6
    29 Sep 20
    Finished
    Leonie Küng / Valeria Savinykh Matches
    Fett J / Routliffe E
    versus
    Kung L / Savinykh V
    5
    7
    6
    4
    10
    6
    01 Oct 20
    Finished
    Fonte M I / Ponomar L
    versus
    Kung L / Savinykh V
    4
    6
    2
    6
    29 Sep 20
    Finished

    You can follow Maria Ines Fonte / Lisa Ponomar - Leonie Küng / Valeria Savinykh live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Maria Ines Fonte / Lisa Ponomar vs Leonie Küng / Valeria Savinykh live streaming options are also shown on this page. Maria Ines Fonte / Lisa Ponomar vs Leonie Küng / Valeria Savinykh (2020 ITF Portugal 10A, Women Doubles) will kick off at 12:00 on 29 Sep 20.

    The match will be played on hardcourt outdoor courts in ITF Portugal 10A, Women Doubles (Portugal).

    Based purely on odds, the predicted winner of the match is Leonie Küng / Valeria Savinykh. 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.