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    ITF WomenITF USA 17A, Women Doubles

    Quinn Gleason / Arianne Hartono - Hewitt D / Mcadoo R

    Live Sports Streaming
    Quinn Gleason / Arianne Hartono Matches
    Kalashnikova O / Kichenok N
    versus
    Chang S / Kulikov A
    28 Feb 24
    04:00
    Chang S / Kulikov A
    versus
    Chan H / Chan L
    3
    6
    2
    6
    07 Jul 23
    Finished
    Neel I / Wu F-H
    versus
    Chang S / Kulikov A
    77
    61
    6
    1
    28 Jun 23
    Finished
    Chang S / Kulikov A
    versus
    Friedsam A-L / Heisen V
    4
    6
    6
    3
    10
    7
    27 Jun 23
    Finished
    Chang S / Kulikov A
    versus
    Bouzkova M / Sorribes Tormo S
    6
    3
    4
    6
    2
    6
    31 May 23
    Finished
    Hewitt D / Mcadoo R Matches
    Hewitt D / Mcadoo R
    versus
    Babos T / Zacarias M
    1
    6
    4
    6
    30 Jun 22
    Finished
    Hewitt D / Mcadoo R
    versus
    Zamarripa A / Zamarripa M
    3
    6
    4
    6
    18 Jun 22
    Finished
    Hu X / Ma Y
    versus
    Hewitt D / Mcadoo R
    3
    6
    2
    6
    16 Jun 22
    Finished
    Chang S / Kulikov A
    versus
    Hewitt D / Mcadoo R
    26 May 22
    Walkover
    Sebov K / Zhu A
    versus
    Hewitt D / Mcadoo R
    2
    6
    2
    6
    24 May 22
    Finished

    You can follow Quinn Gleason / Arianne Hartono - Hewitt D / Mcadoo R live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Quinn Gleason / Arianne Hartono vs Hewitt D / Mcadoo R live streaming options are also shown on this page. Quinn Gleason / Arianne Hartono vs Hewitt D / Mcadoo R (2022 ITF USA 17A, Women Doubles) will kick off at 05:25 on 26 May 22.

    The match will be played on hardcourt outdoor courts in ITF USA 17A, Women Doubles (USA).

    Based purely on odds, the predicted winner of the match is Hewitt D / Mcadoo R. 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.