← All tennis
Set by set
| Player | Set 1 | Set 2 | Sets |
|---|---|---|---|
| D. Duong | 0 | 3 | 0 |
| M. Rajski | 6 | 6 | 2 |
Momentum — game by game, ● = break
▲ D. Duong
▼ M. Rajski
Match facts
Tournament
UTR Newport Beach M01
Category
Utr
Surface
hard
Court
The Tennis Club at Newport Beach - Court 17
City
Newport Beach
First serve
D. Duong
Total games
3–12
D. Duong · match stats · M. Rajski
0Aces4
6Double faults1
50%First serve in63%
49%First-serve points won76%
84%Second serve in93%
38%Second-serve points won60%
67%Break points saved83%
17%Break points converted33%
30%Return points won57%
32Service points won28
12Receiver points won42
44Total points won70
3Games won12
2Service games won6
0Tiebreaks won0
5Longest point streak7
2Longest game streak6
Per set · aces & double faults
| Set | Aces | Double faults |
|---|---|---|
| Set 1 | 0–2 | 3–0 |
| Set 2 | 0–2 | 3–1 |
Figures read D. Duong first.
Set 29 games · newest first
3-6
game 9
D. Duong serving
BREAK
0-15
15-15
15-30
15-40
30-40
40-40
A-40
40-40
40-A
3-5
game 8
M. Rajski serving
0-15
0-30
0-40
3-4
game 7
D. Duong serving
15-0
15-15
15-30
30-30
30-40
40-40
A-40
40-40
40-A
40-40
40-A
40-40
40-A
40-40
A-40
40-40
40-A
40-40
A-40
2-4
game 6
M. Rajski serving
BREAK
15-0
15-15
30-15
40-15
40-30
40-40
A-40
1-4
game 5
D. Duong serving
BREAK
0-15
0-30
15-30
15-40
1-3
game 4
M. Rajski serving
0-15
15-15
15-30
15-40
1-2
game 3
D. Duong serving
BREAK
0-15
15-15
15-30
15-40
1-1
game 2
M. Rajski serving
15-0
15-15
15-30
15-40
1-0
game 1
D. Duong serving
0-15
15-15
15-30
15-40
30-40
40-40
A-40
Set 16 games · newest first
0-6
game 6
M. Rajski serving
0-15
0-30
0-40
0-5
game 5
D. Duong serving
BREAK
15-0
15-15
30-15
30-30
30-40
40-40
40-A
40-40
40-A
0-4
game 4
M. Rajski serving
15-0
30-0
40-0
40-15
40-30
40-40
40-A
0-3
game 3
D. Duong serving
BREAK
15-0
30-0
30-15
30-30
40-30
40-40
40-A
40-40
40-A
0-2
game 2
M. Rajski serving
0-15
15-15
15-30
30-30
30-40
0-1
game 1
D. Duong serving
BREAK
0-15
15-15
30-15
30-30
30-40
Point chips read D. Duong first · highlighted border marks the point winner.
Win probability
D. DuongM. Rajski
71%
Model confidence
Why the model thinks so
- Better recent form
How the model did
Predicted M. Rajski
— correct
D. Duong
10.00
consensus price, since opening
M. Rajski
1.03
consensus price, since opening
Match winnerdecimal
Bookmaker
D. Duong
M. Rajski
Gamdom
8.20
1.01
Consensus
10.00
1.03