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    ITF WomenGwalior, Singles W-WITF-IND-01A

    Anupriya Bauddh - Shefali Arora

    Live Sports Streaming
    Anupriya Bauddh Matches
    Arora S.
    versus
    Bauddh A.
    2022 Feb 13
    05:30:00
    Bauddh A.
    versus
    Arora S.
    2022 Feb 06
    05:30:00
    Yadav S.
    versus
    Bauddh A.
    7
    6
    6
    0
    28 Feb 21
    Finished
    Shefali Arora Matches
    Arora S.
    versus
    Rathi A.
    1
    6
    0
    6
    26 Feb 24
    Finished
    Arora S.
    versus
    Singh E.
    6
    2
    6
    2
    25 Feb 24
    Finished
    Sadiq S.
    versus
    Arora S.
    6
    2
    6
    3
    19 Nov 23
    Finished
    Imbo Nloga S.
    versus
    Arora S.
    6
    4
    4
    6
    10
    6
    19 Jun 23
    Finished
    Arora S.
    versus
    Yang Y.
    0
    6
    1
    6
    14 Jun 23
    Finished

    You can follow Anupriya Bauddh - Shefali Arora live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Anupriya Bauddh vs Shefali Arora live streaming options are also shown on this page. Anupriya Bauddh vs Shefali Arora () will kick off at 05:30:00 on 2022 Feb 06.

    Anupriya Bauddh 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. Anupriya Bauddh has won Unknown so far in the season, with a total prize money of Unknown in her entire career.

    On the other hand, Shefali Arora 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. Shefali Arora has won Unknown so far in the season, with a total prize money of Unknown in his/her entire career.

    The match will be played on clay courts in Gwalior, Singles W-WITF-IND-01A (India).

    Based purely on odds, the predicted winner of the match is Shefali Arora. 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.