Irina-Camelia Begu / Sara Errani - Sofia Kenin / Alison Riske

    Match odds
    1
    1.52
    2.52
    2

    Live Sports Streaming
    Irina-Camelia Begu / Sara Errani vs Sofia Kenin / Alison Riske Head 2 Head
    Begu I / Errani S
    versus
    Kenin S / Riske A
    11 May 21
    canceled
    Irina-Camelia Begu / Sara Errani Matches
    Begu I / Errani S
    versus
    Mladenovic K / Vondrousova M
    2
    6
    3
    6
    15 May 21
    Finished
    Begu I / Errani S
    versus
    Vesnina E / Zvonareva V
    6
    2
    4
    6
    10
    8
    14 May 21
    Finished
    Perez E / Zheng S
    versus
    Begu I / Errani S
    3
    6
    6
    3
    7
    10
    12 May 21
    Finished
    Begu I / Errani S
    versus
    Wang Q / Wang Y
    1
    6
    7
    5
    10
    4
    11 May 21
    Finished
    Begu I / Errani S
    versus
    Kenin S / Riske A
    11 May 21
    canceled
    Sofia Kenin / Alison Riske Matches
    Kenin S / Riske A
    versus
    Muhammad A / Shibahara E
    6
    1
    4
    6
    1
    10
    14 Mar 22
    Finished
    Kontaveit A / Rybakina E
    versus
    Kenin S / Riske A
    69
    711
    2
    6
    10 Mar 22
    Finished
    Begu I / Errani S
    versus
    Kenin S / Riske A
    11 May 21
    canceled

    You can follow Irina-Camelia Begu / Sara Errani - Sofia Kenin / Alison Riske live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Irina-Camelia Begu / Sara Errani vs Sofia Kenin / Alison Riske live streaming options are also shown on this page. Irina-Camelia Begu / Sara Errani vs Sofia Kenin / Alison Riske (2021 WTA Rome, Italy Women Doubles) will kick off at 09:15 on 11 May 21.

    The match will be played on clay courts in Rome, Doubles (Italy).

    Based purely on odds, the predicted winner of the match is Irina-Camelia Begu / Sara Errani. 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.