← All tennis
Set by set
| Player | Set 1 | Set 2 | Sets |
|---|---|---|---|
| G. Avram | 6 | 6 | 2 |
| L. Battle | 3 | 1 | 0 |
Momentum — game by game, ● = break
▲ G. Avram
▼ L. Battle
Match facts
Tournament
Winston-Salem M01
Category
Other
Surface
hard
Court
Wake Forest Tennis Center - Outdoor - Court 01
City
Winston Salem
First serve
L. Battle
Total games
12–4
Recent form
G. Avram · match stats · L. Battle
1Aces1
1Double faults0
71%First serve in59%
73%First-serve points won59%
92%Second serve in100%
83%Second-serve points won36%
%Break points saved33%
67%Break points converted%
50%Return points won24%
32Service points won27
27Receiver points won10
59Total points won37
12Games won4
8Service games won4
0Tiebreaks won0
8Longest point streak5
5Longest game streak1
Per set · aces & double faults
| Set | Aces | Double faults |
|---|---|---|
| Set 1 | 0–0 | 1–0 |
| Set 2 | 1–1 | 0–0 |
Figures read G. Avram first.
Set 238 min · 7 games · newest first
6-1
game 7
L. Battle serving
BREAK
15-0
30-0
30-15
40-15
5-1
game 6
G. Avram serving
0-15
15-15
15-30
30-30
40-30
4-1
game 5
L. Battle serving
15-0
30-0
30-15
30-30
30-40
4-0
game 4
G. Avram serving
15-0
30-0
30-15
40-15
40-30
3-0
game 3
L. Battle serving
BREAK
15-0
15-15
15-30
30-30
40-30
2-0
game 2
G. Avram serving
15-0
30-0
30-15
40-15
1-0
game 1
L. Battle serving
BREAK
15-0
30-0
30-15
30-30
30-40
40-40
A-40
Set 150 min · 9 games · newest first
6-3
game 9
G. Avram serving
15-0
30-0
40-0
5-3
game 8
L. Battle serving
15-0
15-15
15-30
30-30
40-30
40-40
40-A
40-40
A-40
40-40
40-A
40-40
40-A
5-2
game 7
G. Avram serving
15-0
30-0
40-0
4-2
game 6
L. Battle serving
BREAK
15-0
15-15
30-15
40-15
3-2
game 5
G. Avram serving
15-0
15-15
30-15
30-30
40-30
2-2
game 4
L. Battle serving
0-15
0-30
15-30
15-40
2-1
game 3
G. Avram serving
0-15
0-30
15-30
30-30
40-30
1-1
game 2
L. Battle serving
0-15
15-15
15-30
15-40
1-0
game 1
G. Avram serving
15-0
30-0
40-0
40-15
Point chips read G. Avram first · highlighted border marks the point winner.
Win probability
G. AvramL. Battle
54%
Model confidence
Why the model thinks so
- Very evenly matched