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    ITF MenITF Qatar F1, Men Singles

    Yi Zhou - Alberto Lim

    Match odds
    1
    1.22
    4
    2
    name
    1
    2
    3
    sets
    Yi Zhou
    Alberto Lim
    4
    6
    6
    1
    6
    4
    2
    1
    Live Sports Streaming
    6
    4
    0
    15
    15
    15
    30
    15
    40
    15
    40
    30
    5
    4
    15
    0
    30
    0
    40
    0
    40
    15
    4
    4
    15
    0
    15
    15
    30
    15
    30
    30
    40
    30
    3
    4
    0
    15
    15
    15
    15
    30
    15
    40
    30
    40
    40
    40
    A
    40
    40
    40
    40
    A
    3
    3
    0
    15
    15
    15
    15
    30
    30
    30
    30
    40
    40
    40
    40
    A
    40
    40
    A
    40
    2
    3
    0
    15
    0
    30
    0
    40
    2
    2
    0
    15
    15
    15
    30
    15
    30
    30
    40
    30
    1
    2
    0
    15
    0
    30
    0
    40
    15
    40
    1
    1
    15
    0
    15
    15
    30
    15
    40
    15
    0
    1
    0
    15
    15
    15
    15
    30
    15
    40
    2
    Aces
    3
    2
    Double Faults
    2
    22/24 (92%)
    Second Serve
    8/10 (80%)
    29/53 (55%)
    First Serve
    33/43 (77%)
    16/29 (55%)
    First Serve Points
    23/33 (70%)
    15/24 (63%)
    Second Serve Points
    5/10 (50%)
    2/4 (50%)
    Break Points Saved
    4/5 (80%)
    7
    Service games played
    6
    10/33 (30%)
    First serve return points
    13/29 (44%)
    5/10 (50%)
    Second serve return points
    9/24 (37%)
    1
    Break points converted
    2
    6
    Return games played
    7
    31
    Service points won
    28
    15
    Receiver points won
    22
    4
    Max points in a row
    7
    Yi Zhou vs Alberto Lim Head 2 Head
    1 - 0
    Zhou Y.
    versus
    Lim A.
    4
    6
    6
    1
    6
    4
    16 Jan 24
    Finished
    Yi Zhou Matches
    Zhou Y.
    versus
    Jones M.
    6
    4
    4
    6
    6
    77
    27 Feb 24
    Finished
    Bai Y.
    versus
    Zhou Y.
    1
    6
    6
    3
    6
    0
    20 Feb 24
    Finished
    Zhou Y.
    versus
    Kriznik M.
    5
    7
    6
    1
    6
    3
    03 Feb 24
    Finished
    Zhou Y.
    versus
    Dominko S.
    7
    5
    63
    77
    6
    3
    02 Feb 24
    Finished
    Zhou Y.
    versus
    Kırkın E.
    2
    6
    0
    6
    17 Jan 24
    Finished
    Alberto Lim Matches
    Shimanov O.
    versus
    Lim A.
    64
    77
    6
    4
    10
    2
    25 Feb 24
    Finished
    Leong M.
    versus
    Lim A.
    77
    63
    6
    0
    19 Feb 24
    Finished
    Lim A.
    versus
    Charoenphon Y.
    6
    1
    7
    5
    18 Feb 24
    Finished
    Zhou Y.
    versus
    Lim A.
    4
    6
    6
    1
    6
    4
    16 Jan 24
    Finished
    Okamura I.
    versus
    Lim A.
    0
    6
    0
    6
    15 Jan 24
    Finished

    You can follow Yi Zhou - Alberto Lim live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Yi Zhou vs Alberto Lim live streaming options are also shown on this page. Yi Zhou vs Alberto Lim (ITF Qatar F1, Men Singles 2024) will kick off at 02:55 on 16 Jan 24.

    Yi Zhou has won 40% of his last matches and managed to hit an average of 1.9 aces per match, while the double faults stand at 1.1 per match. Yi Zhou has won 215 € so far in the 2024 season, with a total prize money of 48.7k € in his entire career.

    On the other hand, Alberto Lim 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. Alberto Lim has won Unknown so far in the 2024 season, with a total prize money of 2.8k € in his/her entire career.

    The match will be played on hardcourt outdoor courts in ITF Qatar F1, Men Singles ().

    Based purely on odds, the predicted winner of the match is Yi Zhou. 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.