ITF Women ITF Egypt 13A, Women Doubles

Burdina E / Smolenova M - Ezzat Y / Marcon M

B/S

E/M

Match odds

1

2.25

1.57

2

name

1

2

sets

Burdina E / Smolenova M

Ezzat Y / Marcon M

3

6

4

6

0

2

Live Sports Streaming

all
1st
2nd

3

Aces

1

1

Double Faults

2

15/16 (94%)

Second Serve

16/18 (89%)

37/53 (70%)

First Serve

45/63 (71%)

20/37 (54%)

First Serve Points

27/45 (60%)

8/16 (50%)

Second Serve Points

6/18 (33%)

1/6 (16%)

Break Points Saved

7/10 (70%)

9

Service games played

10

18/45 (40%)

First serve return points

17/37 (45%)

12/18 (66%)

Second serve return points

8/16 (50%)

3

Break points converted

5

10

Return games played

9

28

Service points won

33

30

Receiver points won

25

5

Max points in a row

3

Burdina E / Smolenova M vs Ezzat Y / Marcon M Head 2 Head

B/S

0 - 1

E/M

Burdina E / Smolenova M

Ezzat Y / Marcon M

3

6

4

6

21 Sep 23

Finished

Burdina E / Smolenova M Matches

Burdina E / Smolenova M

Barth A / Dzjachangirova M

Burdina E / Smolenova M

Ezzat Y / Marcon M

Formella A / Samardzic A E

Burdina E / Smolenova M

Ezzat Y / Marcon M Matches

Ezzat Y / Marcon M

Havermans D / Veldman K

Easwaramurthi A / Sedysheva A

Ezzat Y / Marcon M

Burdina E / Smolenova M

Ezzat Y / Marcon M

Jacobs L / Khalil F

Ezzat Y / Marcon M

You can follow Burdina E / Smolenova M - Ezzat Y / Marcon M live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Burdina E / Smolenova M vs Ezzat Y / Marcon M live streaming options are also shown on this page. Burdina E / Smolenova M vs Ezzat Y / Marcon M (ITF Egypt 13A, Women Doubles 2023) will kick off at 12:45 on 21 Sep 23.

The match will be played on hardcourt outdoor courts in ITF Egypt 13A, Women Doubles (Egypt).

Based purely on odds, the predicted winner of the match is Ezzat Y / Marcon M. 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.