← All tennis
Set by set
| Player | Set 1 | Set 2 | Sets |
|---|---|---|---|
| Y. Liu | 3 | 2 | 0 |
| M. Kneiss | 6 | 6 | 2 |
Momentum — game by game, ● = break
▲ Y. Liu
▼ M. Kneiss
Match facts
Tournament
UTR Newport Beach M01
Category
Utr
Round
Final
Surface
hard
Court
The Tennis Club at Newport Beach - Court 19
City
Newport Beach
First serve
M. Kneiss
Total games
5–12
Recent form
Y. Liu · match stats · M. Kneiss
2Aces0
1Double faults1
59%First serve in60%
46%First-serve points won74%
94%Second serve in96%
33%Second-serve points won43%
0%Break points saved60%
40%Break points converted100%
39%Return points won59%
18Service points won35
22Receiver points won26
40Total points won61
5Games won12
3Service games won7
0Tiebreaks won0
3Longest point streak7
1Longest game streak5
Per set · aces & double faults
| Set | Aces | Double faults |
|---|---|---|
| Set 1 | 2–0 | 0–0 |
| Set 2 | 0–0 | 1–1 |
Figures read Y. Liu first.
Set 28 games · newest first
2-6
game 8
M. Kneiss serving
0-15
0-30
15-30
30-30
30-40
2-5
game 7
Y. Liu serving
0-15
15-15
30-15
30-30
40-30
1-5
game 6
M. Kneiss serving
15-0
15-15
15-30
15-40
30-40
1-4
game 5
Y. Liu serving
BREAK
15-0
15-15
30-15
40-15
40-30
40-40
40-A
1-3
game 4
M. Kneiss serving
0-15
15-15
15-30
15-40
1-2
game 3
Y. Liu serving
BREAK
15-0
15-15
15-30
15-40
1-1
game 2
M. Kneiss serving
0-15
0-30
15-30
15-40
30-40
1-0
game 1
Y. Liu serving
15-0
15-15
30-15
40-15
40-30
Set 19 games · newest first
3-6
game 9
M. Kneiss serving
0-15
0-30
0-40
3-5
game 8
Y. Liu serving
BREAK
0-15
15-15
15-30
15-40
3-4
game 7
M. Kneiss serving
BREAK
15-0
30-0
30-15
40-15
40-30
40-40
A-40
2-4
game 6
Y. Liu serving
BREAK
0-15
15-15
15-30
15-40
2-3
game 5
M. Kneiss serving
BREAK
15-0
15-15
30-15
40-15
40-30
1-3
game 4
Y. Liu serving
BREAK
0-15
0-30
0-40
1-2
game 3
M. Kneiss serving
0-15
15-15
15-30
15-40
30-40
40-40
40-A
1-1
game 2
Y. Liu serving
15-0
15-15
30-15
40-15
0-1
game 1
M. Kneiss serving
0-15
0-30
15-30
15-40
30-40
40-40
40-A
Point chips read Y. Liu first · highlighted border marks the point winner.
Win probability
Y. LiuM. Kneiss
66%
Model confidence
Why the model thinks so
- Slight statistical edge
How the model did
Predicted Y. Liu
— wrong
Y. Liu
2.25
consensus price, since opening
M. Kneiss
1.57
consensus price, since opening
Match winnerdecimal
Bookmaker
Y. Liu
M. Kneiss
Gamdom
2.18
1.54
Consensus
2.25
1.57