ScoreAxis Logo
Football
Tennis
Widgets
    ATPRoland Garros, Doubles

    Mackenzie McDonald / Tommy Paul - Wesley Koolhof / Neal Skupski

    Match odds
    1
    3.77
    1.27
    2
    name
    1
    2
    sets
    Mackenzie McDonald / Tommy Paul
    Wesley Koolhof / Neal Skupski
    3
    6
    2
    6
    0
    2
    Live Sports Streaming
    2
    6
    15
    0
    15
    15
    15
    30
    30
    30
    30
    40
    2
    5
    0
    15
    15
    15
    15
    30
    30
    30
    40
    30
    40
    40
    A
    40
    40
    40
    40
    A
    40
    40
    40
    A
    2
    4
    0
    15
    15
    15
    15
    30
    15
    40
    2
    3
    0
    15
    15
    15
    15
    30
    30
    30
    40
    30
    1
    3
    0
    15
    0
    30
    15
    30
    30
    30
    30
    40
    40
    40
    40
    A
    1
    2
    15
    0
    30
    0
    30
    15
    30
    30
    30
    40
    1
    1
    15
    0
    15
    15
    15
    30
    15
    40
    30
    40
    40
    40
    A
    40
    40
    40
    40
    A
    1
    0
    15
    0
    15
    15
    15
    30
    30
    30
    40
    30
    0
    Aces
    3
    0
    Double Faults
    3
    14/14 (100%)
    Second Serve
    24/27 (89%)
    40/54 (74%)
    First Serve
    29/56 (52%)
    24/40 (60%)
    First Serve Points
    21/29 (72%)
    6/14 (43%)
    Second Serve Points
    18/27 (67%)
    1/4 (25%)
    Break Points Saved
    1/1 (100%)
    8
    Service games played
    9
    8/29 (27%)
    First serve return points
    16/40 (40%)
    9/27 (33%)
    Second serve return points
    8/14 (57%)
    0
    Break points converted
    3
    9
    Return games played
    8
    30
    Service points won
    39
    17
    Receiver points won
    24
    47
    Total points won
    63
    6
    Max points in a row
    6
    Mackenzie McDonald / Tommy Paul vs Wesley Koolhof / Neal Skupski Head 2 Head
    0 - 0
    Mcdonald M / Paul T
    versus
    Koolhof W / Skupski N
    3
    6
    2
    6
    29 May 22
    Finished
    Mackenzie McDonald / Tommy Paul Matches
    Mcdonald M / Paul T
    versus
    Koolhof W / Skupski N
    3
    6
    2
    6
    29 May 22
    Finished
    Murray J / Soares B
    versus
    Mcdonald M / Paul T
    67
    79
    6
    4
    3
    6
    27 May 22
    Finished
    Mcdonald M / Paul T
    versus
    Nedovyesov A / Qureshi A-U-H
    3
    6
    6
    2
    6
    3
    25 May 22
    Finished
    Cuevas P / Reese H
    versus
    Mcdonald M / Paul T
    6
    4
    78
    66
    06 Apr 22
    Finished
    Mcdonald M / Paul T
    versus
    Mektic N / Pavic M
    1
    6
    4
    6
    12 Feb 21
    Finished
    Wesley Koolhof / Neal Skupski Matches
    Koolhof W / Skupski N
    versus
    Bopanna R / Ebden M
    4
    6
    65
    77
    17 Nov 23
    Finished
    Koolhof W / Skupski N
    versus
    Ram R / Salisbury J
    3
    6
    6
    3
    7
    10
    15 Nov 23
    Finished
    Koolhof W / Skupski N
    versus
    Hijikata R / Kubler J
    6
    3
    6
    4
    13 Nov 23
    Finished
    Gonzalez S / Roger-Vasselin E
    versus
    Koolhof W / Skupski N
    6
    4
    6
    4
    03 Nov 23
    Finished
    Gonzalez S / Roger-Vasselin E
    versus
    Koolhof W / Skupski N
    03 Nov 23
    05:00

    You can follow Mackenzie McDonald / Tommy Paul - Wesley Koolhof / Neal Skupski live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Mackenzie McDonald / Tommy Paul vs Wesley Koolhof / Neal Skupski live streaming options are also shown on this page. Mackenzie McDonald / Tommy Paul vs Wesley Koolhof / Neal Skupski (2022 French Open, Men Doubles) will kick off at 11:45 on 29 May 22.

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

    Based purely on odds, the predicted winner of the match is Wesley Koolhof / Neal Skupski. 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.