Ireland O Brien vs Mia Slama — score & stats

Set by set

Player	Set 1	Set 2	Sets
I. O'Brien	4	0	0
M. Slama	6	6	2

Match facts

Tournament

UTR PTT Boca Raton Women 11

I. O'Brien

L K. Shabashkevich 0–2

M. Slama

L B. A. Black 0–2 W S. Berry 2–0 W C. Soares 2–0 W K. Shabashkevich 2–0 W M. Navarro 2–0

I. O'Brien · match stats · M. Slama

0Aces1

5Double faults4

44%First serve in41%

58%First-serve points won67%

83%Second serve in85%

20%Second-serve points won62%

54%Break points saved33%

67%Break points converted46%

36%Return points won63%

20Service points won28

16Receiver points won33

36Total points won61

4Games won12

2Service games won6

0Tiebreaks won0

4Longest point streak7

2Longest game streak8

Per set · aces & double faults

Set	Aces	Double faults
Set 1	0–0	3–4
Set 2	0–1	2–0

Figures read I. O'Brien first.

Set 26 games · newest first

0-6 game 6 I. O'Brien serving BREAK

0-15 15-15 15-30 15-40

0-5 game 5 M. Slama serving

0-15 0-30 15-30 15-40

0-4 game 4 I. O'Brien serving BREAK

0-15 0-30 0-40

0-3 game 3 M. Slama serving

15-0 15-15 15-30 15-40 30-40

0-2 game 2 I. O'Brien serving BREAK

15-0 15-15 30-15 30-30 30-40 40-40 40-A

0-1 game 1 M. Slama serving

15-0 30-0 30-15 30-30 30-40

Set 110 games · newest first

4-6 game 10 I. O'Brien serving BREAK

0-15 0-30 0-40

4-5 game 9 M. Slama serving

0-15 15-15 30-15 30-30 30-40

4-4 game 8 I. O'Brien serving

15-0 15-15 15-30 15-40 30-40 40-40 A-40

3-4 game 7 M. Slama serving

0-15 0-30 0-40

3-3 game 6 I. O'Brien serving

0-15 15-15 30-15 40-15 40-30 40-40 40-A 40-40 40-A 40-40 A-40 40-40 A-40

2-3 game 5 M. Slama serving BREAK

0-15 0-30 15-30 30-30 40-30 40-40 A-40

1-3 game 4 I. O'Brien serving BREAK

15-0 15-15 15-30 15-40

1-2 game 3 M. Slama serving

0-15 0-30 0-40

1-1 game 2 I. O'Brien serving BREAK

0-15 0-30 0-40 15-40 30-40

1-0 game 1 M. Slama serving BREAK

15-0 15-15 30-15 40-15

Point chips read I. O'Brien first · highlighted border marks the point winner.

Win probability

I. O'BrienM. Slama

53%

47%

53%

Model confidence

Why the model thinks so

Very evenly matched