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    ITF WomenMontreux

    Fiona Ganz - Lena Papadakis

    Match odds
    1
    5.5
    1.13
    2
    name
    1
    2
    sets
    Fiona Ganz
    Lena Papadakis
    3
    6
    4
    6
    0
    2
    Live Sports Streaming
    4
    6
    0
    15
    0
    30
    15
    30
    30
    30
    30
    40
    4
    5
    0
    15
    0
    30
    0
    40
    15
    40
    4
    4
    0
    15
    0
    30
    0
    40
    4
    3
    0
    15
    0
    30
    0
    40
    15
    40
    4
    2
    0
    15
    15
    15
    30
    15
    30
    30
    30
    40
    4
    1
    15
    0
    15
    15
    15
    30
    30
    30
    40
    30
    3
    1
    0
    15
    15
    15
    30
    15
    40
    15
    2
    1
    0
    15
    15
    15
    30
    15
    40
    15
    1
    1
    0
    15
    0
    30
    0
    40
    1
    0
    15
    0
    30
    0
    40
    0
    40
    15
    40
    30
    40
    40
    A
    40
    40
    40
    A
    40
    1
    Aces
    0
    2
    Double Faults
    0
    15/17 (88%)
    Second Serve
    13/13 (100%)
    41/58 (71%)
    First Serve
    39/52 (75%)
    24/41 (59%)
    First Serve Points
    29/39 (74%)
    8/17 (47%)
    Second Serve Points
    8/13 (62%)
    4/7 (57%)
    Break Points Saved
    0/1 (0%)
    9
    Service games played
    10
    10/39 (25%)
    First serve return points
    17/41 (41%)
    5/13 (38%)
    Second serve return points
    9/17 (52%)
    1
    Break points converted
    3
    10
    Return games played
    9
    32
    Service points won
    37
    15
    Receiver points won
    26
    5
    Max points in a row
    8
    Fiona Ganz vs Lena Papadakis Head 2 Head
    0 - 2
    Papadakis L.
    versus
    Ganz F.
    6
    2
    6
    0
    12 Apr 22
    Finished
    Ganz F.
    versus
    Papadakis L.
    3
    6
    4
    6
    04 Jul 23
    Finished
    Fiona Ganz Matches
    Milić E.
    versus
    Ganz F.
    27 Feb 24
    03:30
    Ganz F.
    versus
    Belgraver J.
    4
    6
    3
    6
    23 Feb 24
    Finished
    Ganz F.
    versus
    Petretic L.
    6
    3
    6
    4
    22 Feb 24
    Finished
    Ganz F.
    versus
    Muntean V.
    6
    2
    65
    77
    6
    0
    20 Feb 24
    Finished
    Choi O.
    versus
    Ganz F.
    6
    2
    3
    6
    10
    5
    04 Feb 24
    Finished
    Lena Papadakis Matches
    Radovanovic N.
    versus
    Papadakis L.
    28 Feb 24
    09:00
    Podrez V.
    versus
    Papadakis L.
    2
    6
    3
    6
    26 Feb 24
    Finished
    Ntondele Zinga T.
    versus
    Papadakis L.
    4
    6
    4
    6
    25 Feb 24
    Finished
    Wirges A.
    versus
    Papadakis L.
    2
    6
    77
    65
    6
    3
    11 Feb 24
    Finished
    Papadakis L.
    versus
    Bains N.
    6
    4
    3
    6
    4
    6
    31 Jan 24
    Finished

    You can follow Fiona Ganz - Lena Papadakis live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Fiona Ganz vs Lena Papadakis live streaming options are also shown on this page. Fiona Ganz vs Lena Papadakis (2023 ITF Switzerland 03A, Women Singles) will kick off at 07:00 on 04 Jul 23.

    Fiona Ganz has won 50% of his last matches and managed to hit an average of 1.1 aces per match, while the double faults stand at 1.85 per match. Fiona Ganz has won 2.7k € so far in the 2023 season, with a total prize money of 19.8k € in her entire career.

    On the other hand, Lena Papadakis has won 45% of his last matches and managed to hit an average of 0.3 aces per match, while the double faults stand at 1.4 per match. Lena Papadakis has won 6.4k € so far in the 2023 season, with a total prize money of 44.5k € in his/her entire career.

    The match will be played on red clay courts in Montreux (Switzerland).

    Based purely on odds, the predicted winner of the match is Lena Papadakis. 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.