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    ATPRoland Garros, Mixed Doubles

    Johnos Peers / Gabriela Dabrowski - Wesley Koolhof / Ena Shibahara

    Match odds
    1
    1.82
    1.93
    2
    name
    1
    2
    sets
    Johnos Peers / Gabriela Dabrowski
    Wesley Koolhof / Ena Shibahara
    3
    6
    4
    6
    0
    2
    Live Sports Streaming
    4
    6
    0
    15
    0
    30
    0
    40
    15
    40
    4
    5
    0
    15
    15
    15
    15
    30
    30
    30
    30
    40
    40
    40
    3
    5
    0
    15
    15
    15
    15
    30
    15
    40
    3
    4
    15
    0
    15
    15
    30
    15
    40
    15
    2
    4
    0
    15
    0
    30
    0
    40
    2
    3
    0
    15
    15
    15
    15
    30
    30
    30
    40
    30
    1
    3
    0
    15
    15
    15
    15
    30
    15
    40
    1
    2
    0
    15
    15
    15
    30
    15
    40
    15
    40
    30
    40
    40
    1
    1
    15
    0
    15
    15
    30
    15
    40
    15
    40
    30
    40
    40
    1
    0
    0
    15
    15
    15
    30
    15
    40
    15
    40
    30
    40
    40
    2
    Aces
    4
    1
    Double Faults
    1
    20/21 (95%)
    Second Serve
    20/21 (95%)
    32/54 (59%)
    First Serve
    32/54 (59%)
    23/32 (72%)
    First Serve Points
    26/32 (81%)
    6/21 (29%)
    Second Serve Points
    13/21 (62%)
    8/11 (72%)
    Break Points Saved
    4/5 (80%)
    9
    Service games played
    10
    6/32 (18%)
    First serve return points
    9/32 (28%)
    8/21 (38%)
    Second serve return points
    15/21 (71%)
    1
    Break points converted
    3
    10
    Return games played
    9
    29
    Service points won
    39
    15
    Receiver points won
    24
    44
    Total points won
    64
    5
    Max points in a row
    12
    Johnos Peers / Gabriela Dabrowski vs Wesley Koolhof / Ena Shibahara Head 2 Head
    0 - 0
    Peers J / Dabrowski G
    versus
    Koolhof W / Shibahara E
    3
    6
    4
    6
    01 Jun 22
    Finished
    Johnos Peers / Gabriela Dabrowski Matches
    Pavic M / Mirza S
    versus
    Peers J / Dabrowski G
    6
    4
    3
    6
    7
    5
    04 Jul 22
    Finished
    Soares B / Haddad Maia B
    versus
    Peers J / Dabrowski G
    6
    4
    3
    6
    0
    6
    03 Jul 22
    Finished
    Behar A / Schuurs D
    versus
    Peers J / Dabrowski G
    3
    6
    4
    6
    02 Jul 22
    Finished
    Peers J / Dabrowski G
    versus
    Koolhof W / Shibahara E
    3
    6
    4
    6
    01 Jun 22
    Finished
    Hradecka L / Escobar G
    versus
    Peers J / Dabrowski G
    5
    7
    2
    6
    31 May 22
    Finished
    Wesley Koolhof / Ena Shibahara Matches
    Polmans M / Gadecki O
    versus
    Koolhof W / Shibahara E
    6
    2
    6
    2
    21 Jan 23
    Finished
    Vliegen J / Eikeri U
    versus
    Koolhof W / Shibahara E
    65
    77
    2
    6
    02 Jun 22
    Finished
    Peers J / Dabrowski G
    versus
    Koolhof W / Shibahara E
    3
    6
    4
    6
    01 Jun 22
    Finished
    Stosur S / Ebden M
    versus
    Koolhof W / Shibahara E
    3
    6
    4
    6
    30 May 22
    Finished
    Schuurs D / Middelkoop M
    versus
    Koolhof W / Shibahara E
    3
    6
    4
    6
    28 May 22
    Finished

    You can follow Johnos Peers / Gabriela Dabrowski - Wesley Koolhof / Ena Shibahara live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Johnos Peers / Gabriela Dabrowski vs Wesley Koolhof / Ena Shibahara live streaming options are also shown on this page. Johnos Peers / Gabriela Dabrowski vs Wesley Koolhof / Ena Shibahara (2022 French Open Mixed Doubles) will kick off at 01:40 on 01 Jun 22.

    The match will be played on clay courts in Roland Garros, Mixed Doubles (France).

    Based purely on odds, the predicted winner of the match is Johnos Peers / Gabriela Dabrowski. 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.