← All tennis
Set by set
| Player | Set 1 | Set 2 | Sets |
|---|---|---|---|
| S. Nayuki | 2 | 1 | 0 |
| N. Kawagishi | 6 | 6 | 2 |
Match facts
Tournament
UTR PTT Saitama Women 04
Category
Utr
Round
Final
Surface
hard
Court
Green Tennis Plaza - Court 05
City
Kawaguchi
First serve
S. Nayuki
Total games
3–12
Recent form
S. Nayuki · match stats · N. Kawagishi
0Aces1
4Double faults1
53%First serve in68%
55%First-serve points won68%
86%Second serve in94%
24%Second-serve points won63%
50%Break points saved75%
25%Break points converted50%
34%Return points won60%
25Service points won33
17Receiver points won36
42Total points won69
3Games won12
2Service games won6
0Tiebreaks won0
4Longest point streak8
1Longest game streak7
Per set · aces & double faults
| Set | Aces | Double faults |
|---|---|---|
| Set 1 | 0–1 | 2–1 |
| Set 2 | 0–0 | 2–0 |
Figures read S. Nayuki first.
Set 244 min · 7 games · newest first
1-5
game 7
S. Nayuki serving
0-15
0-30
0-40
15-40
1-5
game 6
N. Kawagishi serving
15-0
15-15
15-30
15-40
1-4
game 5
S. Nayuki serving
15-0
30-0
40-0
40-15
40-30
0-4
game 4
N. Kawagishi serving
15-0
15-15
15-30
30-30
30-40
40-40
40-A
40-40
40-A
0-3
game 3
S. Nayuki serving
BREAK
15-0
15-15
30-15
30-30
40-30
40-40
A-40
40-40
40-A
0-2
game 2
N. Kawagishi serving
0-15
0-30
0-40
0-1
game 1
S. Nayuki serving
BREAK
15-0
15-15
15-30
30-30
40-30
40-40
40-A
40-40
40-A
40-40
40-A
40-40
A-40
40-40
A-40
40-40
40-A
Set 143 min · 8 games · newest first
2-6
game 8
N. Kawagishi serving
0-15
0-30
15-30
15-40
2-5
game 7
S. Nayuki serving
BREAK
0-15
0-30
15-30
15-40
2-4
game 6
N. Kawagishi serving
15-0
15-15
30-15
30-30
40-30
40-40
40-A
40-40
A-40
40-40
40-A
2-3
game 5
S. Nayuki serving
15-0
30-0
30-15
30-30
30-40
40-40
A-40
1-3
game 4
N. Kawagishi serving
0-15
0-30
0-40
1-2
game 3
S. Nayuki serving
BREAK
0-15
0-30
0-40
1-1
game 2
N. Kawagishi serving
BREAK
15-0
15-15
30-15
30-30
30-40
40-40
A-40
40-40
A-40
0-1
game 1
S. Nayuki serving
BREAK
0-15
0-30
15-30
15-40
30-40
Point chips read S. Nayuki first · highlighted border marks the point winner.
Win probability
S. NayukiN. Kawagishi
67%
Model confidence
Why the model thinks so
- Slight statistical edge