← All tennis
Set by set
| Player | Set 1 | Set 2 | Sets |
|---|---|---|---|
| I. Crossman | 6 | 6 | 2 |
| N. Desai | 1 | 3 | 0 |
Momentum — game by game, ● = break
▲ I. Crossman
▼ N. Desai
Match facts
Tournament
UTR PTT Melbourne Women 04
Category
Utr
Surface
hard
Court
Hume Tennis & Community Centre - Court 06
City
Craigieburn
First serve
N. Desai
Total games
12–4
Recent form
I. Crossman
W P. MA 2–1I. Crossman · match stats · N. Desai
0Aces0
3Double faults3
77%First serve in60%
70%First-serve points won48%
70%Second serve in83%
30%Second-serve points won22%
0%Break points saved40%
60%Break points converted100%
62%Return points won40%
26Service points won17
28Receiver points won17
54Total points won34
12Games won4
6Service games won2
0Tiebreaks won0
7Longest point streak8
4Longest game streak2
Per set · aces & double faults
| Set | Aces | Double faults |
|---|---|---|
| Set 1 | 0–0 | 2–3 |
| Set 2 | 0–0 | 1–0 |
Figures read I. Crossman first.
Set 29 games · newest first
6-3
game 9
N. Desai serving
BREAK
0-15
15-15
30-15
40-15
40-30
5-3
game 8
I. Crossman serving
15-0
30-0
40-0
40-15
40-30
4-3
game 7
N. Desai serving
BREAK
15-0
30-0
40-0
3-3
game 6
I. Crossman serving
BREAK
0-15
0-30
0-40
3-2
game 5
N. Desai serving
15-0
15-15
15-30
15-40
3-1
game 4
I. Crossman serving
15-0
30-0
40-0
2-1
game 3
N. Desai serving
BREAK
15-0
30-0
30-15
40-15
40-30
1-1
game 2
I. Crossman serving
15-0
30-0
40-0
0-1
game 1
N. Desai serving
15-0
15-15
15-30
15-40
Set 17 games · newest first
6-1
game 7
I. Crossman serving
15-0
30-0
40-0
40-15
40-30
5-1
game 6
N. Desai serving
BREAK
15-0
15-15
30-15
40-15
4-1
game 5
I. Crossman serving
BREAK
0-15
15-15
15-30
15-40
4-0
game 4
N. Desai serving
BREAK
15-0
30-0
30-15
40-15
40-30
40-40
40-A
40-40
A-40
3-0
game 3
I. Crossman serving
0-15
15-15
15-30
30-30
40-30
40-40
A-40
2-0
game 2
N. Desai serving
BREAK
15-0
30-0
40-0
1-0
game 1
I. Crossman serving
0-15
15-15
30-15
30-30
40-30
Point chips read I. Crossman first · highlighted border marks the point winner.
Win probability
I. CrossmanN. Desai
55%
Model confidence
Why the model thinks so
- Slight statistical edge