Sebastian Fanselow / Edan Leshem - Luke Saville / Andrew Harris


    name
    1
    2
    sets
    Sebastian Fanselow / Edan Leshem
    Luke Saville / Andrew Harris
    4
    6
    4
    6
    0
    2
    Live Sports Streaming
    Sebastian Fanselow / Edan Leshem vs Luke Saville / Andrew Harris Head 2 Head
    Fanselow S / Leshem E
    versus
    Harris A / Saville L
    4
    6
    4
    6
    12 Oct 22
    Finished
    Sebastian Fanselow / Edan Leshem Matches
    Fanselow S / Leshem E
    versus
    Harris A / Saville L
    4
    6
    4
    6
    12 Oct 22
    Finished
    Luke Saville / Andrew Harris Matches
    Escobar G / Nedovyesov A
    versus
    Harris A / Saville L
    6
    2
    6
    4
    21 Jun 23
    Finished
    Clark E / Perez A
    versus
    Harris A / Saville L
    7
    6
    3
    6
    10
    2
    13 Oct 22
    Finished
    Fanselow S / Leshem E
    versus
    Harris A / Saville L
    4
    6
    4
    6
    12 Oct 22
    Finished
    Broom C / Frantzen C
    versus
    Harris A / Saville L
    6
    3
    6
    7
    10
    7
    06 Oct 22
    Finished
    Gomez-Herrera C / Quiroz R
    versus
    Harris A / Saville L
    1
    6
    6
    7
    05 Oct 22
    Finished

    You can follow Sebastian Fanselow / Edan Leshem - Luke Saville / Andrew Harris live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Sebastian Fanselow / Edan Leshem vs Luke Saville / Andrew Harris live streaming options are also shown on this page. Sebastian Fanselow / Edan Leshem vs Luke Saville / Andrew Harris (ATP Challenger Fairfield, USA Men Double 2022) will kick off at 10:35 on 12 Oct 22.

    The match will be played on hardcourt outdoor courts in Fairfield, USA Men Double (USA).

    Based purely on odds, the predicted winner of the match is Luke Saville / Andrew Harris. 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.