Margaux Komano - Maria Pena


    Live Sports Streaming
    Margaux Komano Matches
    Komano M.
    versus
    Inoue H.
    5
    7
    4
    6
    01 Feb 24
    Finished
    Zhang J.
    versus
    Komano M.
    5
    7
    2
    6
    31 Jan 24
    Finished
    Stagno B.
    versus
    Komano M.
    6
    2
    3
    6
    6
    10
    30 Jan 24
    Finished
    Komano M.
    versus
    Shiyu Ye.
    6
    2
    6
    1
    29 Jan 24
    Finished
    Komano M.
    versus
    Samways C.
    6
    1
    6
    0
    28 Jan 24
    Finished
    Maria Pena Matches
    Martinez De Velasco C.
    versus
    Pena M.
    6
    0
    6
    0
    10 Jul 22
    Finished
    Komano M.
    versus
    Pena M.
    18 Jul 21
    Walkover
    Juarez Blanco A.
    versus
    Pena M.
    2
    6
    6
    1
    10
    7
    15 Jul 19
    Finished

    You can follow Margaux Komano - Maria Pena live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Margaux Komano vs Maria Pena live streaming options are also shown on this page. Margaux Komano vs Maria Pena (2021 ITF Spain 16A, Women Singles) will kick off at 03:30 on 18 Jul 21.

    Margaux Komano has won 40% of his last matches and managed to hit an average of 0.25 aces per match, while the double faults stand at 0.55 per match. Margaux Komano has won 982 € so far in the 2021 season, with a total prize money of 1.4k € in her entire career.

    On the other hand, Maria Pena has won 0% of his last matches and managed to hit an average of 0 aces per match, while the double faults stand at 0 per match. Maria Pena has won Unknown so far in the 2021 season, with a total prize money of Unknown in his/her entire career.

    The match will be played on synthetic outdoor courts in Melilla ().

    Based purely on odds, the predicted winner of the match is Maria Pena. 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.