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Set by set
| Player | Set 1 | Set 2 | Sets |
|---|---|---|---|
| A. Wong | 4 | 1 | 0 |
| M. Rajski | 6 | 6 | 2 |
Match facts
Tournament
UTR Newport Beach M03
Category
Utr
Surface
hard
Court
The Tennis Club at Newport Beach - Court 01
City
Newport Beach
First serve
M. Rajski
Total games
5–12
Recent form
A. Wong · match stats · M. Rajski
3Aces2
2Double faults3
48%First serve in59%
66%First-serve points won79%
94%Second serve in87%
38%Second-serve points won48%
71%Break points saved67%
33%Break points converted29%
34%Return points won48%
34Service points won37
19Receiver points won32
53Total points won69
5Games won12
4Service games won8
0Tiebreaks won0
4Longest point streak7
3Longest game streak5
Per set · aces & double faults
| Set | Aces | Double faults |
|---|---|---|
| Set 1 | 2–2 | 1–3 |
| Set 2 | 1–0 | 1–0 |
Figures read A. Wong first.
Set 27 games · newest first
1-6
game 7
M. Rajski serving
15-0
15-15
30-15
30-30
30-40
1-5
game 6
A. Wong serving
BREAK
0-15
15-15
30-15
30-30
30-40
40-40
40-A
40-40
40-A
40-40
A-40
40-40
40-A
40-40
A-40
40-40
40-A
1-4
game 5
M. Rajski serving
0-15
0-30
0-40
15-40
1-3
game 4
A. Wong serving
15-0
15-15
30-15
40-15
0-3
game 3
M. Rajski serving
0-15
0-30
0-40
0-2
game 2
A. Wong serving
BREAK
15-0
15-15
30-15
30-30
40-30
40-40
40-A
0-1
game 1
M. Rajski serving
0-15
0-30
0-40
Set 110 games · newest first
4-6
game 10
A. Wong serving
BREAK
0-15
0-30
0-40
15-40
30-40
40-40
40-A
40-40
40-A
4-5
game 9
M. Rajski serving
0-15
0-30
15-30
15-40
30-40
4-4
game 8
A. Wong serving
15-0
30-0
30-15
40-15
3-4
game 7
M. Rajski serving
BREAK
15-0
30-0
30-15
40-15
2-4
game 6
A. Wong serving
15-0
15-15
30-15
30-30
40-30
1-4
game 5
M. Rajski serving
0-15
15-15
15-30
15-40
30-40
40-40
40-A
1-3
game 4
A. Wong serving
15-0
15-15
30-15
40-15
40-30
0-3
game 3
M. Rajski serving
0-15
15-15
15-30
15-40
30-40
40-40
40-A
0-2
game 2
A. Wong serving
BREAK
0-15
0-30
15-30
15-40
30-40
40-40
40-A
0-1
game 1
M. Rajski serving
0-15
15-15
15-30
30-30
40-30
40-40
A-40
40-40
40-A
Point chips read A. Wong first · highlighted border marks the point winner.
Win probability
A. WongM. Rajski
73%
Model confidence
Why the model thinks so
- Better recent form
How the model did
Predicted M. Rajski
— correct
A. Wong
7.50
consensus price, since opening
M. Rajski
1.07
consensus price, since opening
Match winnerdecimal
Bookmaker
A. Wong
M. Rajski
Gamdom
7.00
1.04
Consensus
7.50
1.07