← All tennis
Set by set
| Player | Set 1 | Set 2 | Sets |
|---|---|---|---|
| K. Ozaki | 4 | 2 | 0 |
| K. H. Hung | 6 | 6 | 2 |
Match facts
Tournament
UTR PTT Saitama Men 08
Category
Utr
Round
Final
Surface
hard
Court
Green Tennis Plaza - Court 06
City
Kawaguchi
First serve
K. Ozaki
Total games
6–12
K. Ozaki · match stats · K. H. Hung
0Aces0
1Double faults1
61%First serve in58%
54%First-serve points won73%
94%Second serve in95%
56%Second-serve points won59%
0%Break points saved75%
25%Break points converted100%
33%Return points won46%
25Service points won35
17Receiver points won21
42Total points won56
6Games won12
5Service games won8
0Tiebreaks won0
6Longest point streak11
2Longest game streak3
Per set · aces & double faults
| Set | Aces | Double faults |
|---|---|---|
| Set 1 | 0–0 | 0–0 |
| Set 2 | 0–0 | 1–1 |
Figures read K. Ozaki first.
Set 232 min · 8 games · newest first
2-5
game 8
K. H. Hung serving
15-0
15-15
15-30
30-30
30-40
2-5
game 7
K. Ozaki serving
15-0
30-0
40-0
1-5
game 6
K. H. Hung serving
0-15
0-30
0-40
1-4
game 5
K. Ozaki serving
BREAK
15-0
15-15
15-30
15-40
1-3
game 4
K. H. Hung serving
0-15
0-30
15-30
15-40
30-40
40-40
40-A
1-2
game 3
K. Ozaki serving
15-0
15-15
30-15
40-15
0-2
game 2
K. H. Hung serving
0-15
0-30
0-40
0-1
game 1
K. Ozaki serving
BREAK
0-15
0-30
0-40
Set 149 min · 10 games · newest first
4-6
game 10
K. H. Hung serving
0-15
15-15
15-30
30-30
40-30
40-40
40-A
4-5
game 9
K. Ozaki serving
15-0
30-0
40-0
3-5
game 8
K. H. Hung serving
0-15
0-30
0-40
3-4
game 7
K. Ozaki serving
BREAK
15-0
30-0
40-0
40-15
40-30
40-40
40-A
3-3
game 6
K. H. Hung serving
0-15
15-15
30-15
40-15
40-30
40-40
40-A
3-2
game 5
K. Ozaki serving
15-0
30-0
30-15
40-15
2-2
game 4
K. H. Hung serving
BREAK
15-0
30-0
40-0
1-2
game 3
K. Ozaki serving
BREAK
15-0
15-15
15-30
15-40
1-1
game 2
K. H. Hung serving
0-15
15-15
15-30
15-40
30-40
1-0
game 1
K. Ozaki serving
0-15
15-15
30-15
40-15
40-30
Point chips read K. Ozaki first · highlighted border marks the point winner.
Win probability
K. OzakiK. H. Hung
50%
Model confidence
Why the model thinks so
- Very evenly matched
How the model did
Predicted K. H. Hung
— correct