← All tennis
Set by set
| Player | Set 1 | Set 2 | Sets |
|---|---|---|---|
| A. Wolf | 6 | 6 | 2 |
| R. Levine | 4 | 1 | 0 |
Momentum — game by game, ● = break
▲ A. Wolf
▼ R. Levine
Match facts
Tournament
UTR PTT Newport Beach Women 14
Category
Utr
Surface
hard
Court
The Tennis Club at Newport Beach - Court 17
City
Newport Beach
First serve
R. Levine
Total games
12–5
Recent form
A. Wolf · match stats · R. Levine
1Aces1
0Double faults5
51%First serve in47%
65%First-serve points won36%
100%Second serve in82%
47%Second-serve points won32%
0%Break points saved36%
64%Break points converted100%
66%Return points won44%
22Service points won18
35Receiver points won17
57Total points won35
12Games won5
5Service games won2
0Tiebreaks won0
8Longest point streak6
5Longest game streak2
Per set · aces & double faults
| Set | Aces | Double faults |
|---|---|---|
| Set 1 | 1–1 | 0–4 |
| Set 2 | 0–0 | 0–1 |
Figures read A. Wolf first.
Set 27 games · newest first
6-1
game 7
R. Levine serving
BREAK
15-0
15-15
15-30
30-30
40-30
40-40
A-40
5-1
game 6
A. Wolf serving
15-0
30-0
40-0
40-15
4-1
game 5
R. Levine serving
BREAK
0-15
15-15
30-15
40-15
3-1
game 4
A. Wolf serving
15-0
30-0
40-0
2-1
game 3
R. Levine serving
BREAK
15-0
30-0
40-0
1-1
game 2
A. Wolf serving
BREAK
0-15
0-30
15-30
15-40
1-0
game 1
R. Levine serving
BREAK
0-15
0-30
15-30
30-30
40-30
Set 110 games · newest first
6-4
game 10
A. Wolf serving
15-0
30-0
40-0
40-15
5-4
game 9
R. Levine serving
15-0
30-0
30-15
30-30
40-30
40-40
40-A
40-40
40-A
5-3
game 8
A. Wolf serving
0-15
15-15
30-15
40-15
4-3
game 7
R. Levine serving
BREAK
15-0
30-0
40-0
3-3
game 6
A. Wolf serving
15-0
15-15
30-15
30-30
40-30
2-3
game 5
R. Levine serving
BREAK
15-0
30-0
40-0
1-3
game 4
A. Wolf serving
BREAK
0-15
15-15
15-30
15-40
1-2
game 3
R. Levine serving
BREAK
15-0
30-0
40-0
40-15
40-30
0-2
game 2
A. Wolf serving
BREAK
0-15
0-30
0-40
0-1
game 1
R. Levine serving
15-0
15-15
15-30
30-30
30-40
Point chips read A. Wolf first · highlighted border marks the point winner.
Win probability
A. WolfR. Levine
59%
Model confidence
Why the model thinks so
- Slight statistical edge