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    ITF WomenStellenbosch, Doubles

    Adithya Karunaratne / Manon Léonard - Rina Saigo / Yukina Saigo

    Match odds
    1
    6
    1.11
    2
    Live Sports Streaming
    Adithya Karunaratne / Manon Léonard vs Rina Saigo / Yukina Saigo Head 2 Head
    0 - 0
    Karunaratne A / Leonard M
    versus
    Saigo R / Saigo Y
    21 Feb 24
    canceled
    Adithya Karunaratne / Manon Léonard Matches
    Karunaratne A / Leonard M
    versus
    Saigo R / Saigo Y
    21 Feb 24
    canceled
    Karunaratne A / Leonard M
    versus
    Malygina E / Palicova B
    7
    5
    5
    7
    1
    10
    10 Jan 24
    Finished
    Rina Saigo / Yukina Saigo Matches
    Costoulas S / Vandewinkel H
    versus
    Saigo R / Saigo Y
    6
    4
    6
    1
    23 Feb 24
    Finished
    Maristany Zuleta de Reales G / Reyngold E
    versus
    Saigo R / Saigo Y
    3
    4
    22 Feb 24
    Finished
    Karunaratne A / Leonard M
    versus
    Saigo R / Saigo Y
    21 Feb 24
    canceled
    Ly-Nguyen S / Nava Elkin A C
    versus
    Saigo R / Saigo Y
    4
    6
    1
    6
    21 Feb 24
    Finished
    Saigo R / Saigo Y
    versus
    Raggi A / Vangelova A
    6
    4
    4
    6
    8
    10
    16 Feb 24
    Finished

    You can follow Adithya Karunaratne / Manon Léonard - Rina Saigo / Yukina Saigo live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Adithya Karunaratne / Manon Léonard vs Rina Saigo / Yukina Saigo live streaming options are also shown on this page. Adithya Karunaratne / Manon Léonard vs Rina Saigo / Yukina Saigo (2024 ITF South Africa 01A, Women Doubles) will kick off at 01:55 on 21 Feb 24.

    The match will be played on hardcourt outdoor courts in Stellenbosch, Doubles (Netherlands).

    Based purely on odds, the predicted winner of the match is Rina Saigo / Yukina Saigo. 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.