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    ITF WomenITF Spain 03A, Women Doubles

    Irina Cantos Siemers / Julia Payola - Louise Lampla / Sonya Latycheva

    name
    1
    2
    sets
    Irina Cantos Siemers / Julia Payola
    Louise Lampla / Sonya Latycheva
    6
    2
    6
    2
    2
    0
    Live Sports Streaming
    Irina Cantos Siemers / Julia Payola vs Louise Lampla / Sonya Latycheva Head 2 Head
    0 - 0
    Cantos Siemers I / Payola J
    versus
    Lampla L / Latycheva S
    6
    2
    6
    2
    05 Feb 19
    Finished
    Irina Cantos Siemers / Julia Payola Matches
    Cantos Siemers I / Payola J
    versus
    Garland J / Hertel A
    7
    5
    2
    6
    8
    10
    06 Feb 19
    Finished
    Cantos Siemers I / Payola J
    versus
    Lampla L / Latycheva S
    6
    2
    6
    2
    05 Feb 19
    Finished
    Cantos Siemers I / Payola J
    versus
    Gavrila O / Wargnier L
    1
    6
    1
    6
    30 Jan 19
    Finished
    Cantos Siemers I / Payola J
    versus
    Hertel A / Ureke A
    4
    6
    6
    2
    10
    6
    26 Jan 19
    Finished
    Louise Lampla / Sonya Latycheva Matches
    Cantos Siemers I / Payola J
    versus
    Lampla L / Latycheva S
    6
    2
    6
    2
    05 Feb 19
    Finished

    You can follow Irina Cantos Siemers / Julia Payola - Louise Lampla / Sonya Latycheva live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Irina Cantos Siemers / Julia Payola vs Louise Lampla / Sonya Latycheva live streaming options are also shown on this page. Irina Cantos Siemers / Julia Payola vs Louise Lampla / Sonya Latycheva (2019 ITF Spain 03A, Women Doubles) will kick off at 01:45 on 05 Feb 19.

    The match will be played on hardcourt outdoor courts in ITF Spain 03A, Women Doubles ().

    Based purely on odds, the predicted winner of the match is Louise Lampla / Sonya Latycheva. 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.