← All tennis
Set by set
| Player | Set 1 | Set 2 | Sets |
|---|---|---|---|
| B. Wiger-Nordas | 6 | 6 | 2 |
| A. Bastola | 1 | 1 | 0 |
Match facts
Tournament
UTR PTT Bengaluru Men 02
Category
Utr
Surface
hard
Court
Rohan Bopanna Tennis Academy - Court 04
City
Bengaluru
First serve
A. Bastola
Total games
12–2
Recent form
B. Wiger-Nordas · match stats · A. Bastola
2Aces0
2Double faults1
73%First serve in82%
75%First-serve points won38%
83%Second serve in89%
42%Second-serve points won44%
83%Break points saved33%
67%Break points converted17%
61%Return points won34%
29Service points won20
31Receiver points won15
60Total points won35
12Games won2
6Service games won1
0Tiebreaks won0
5Longest point streak3
6Longest game streak1
Per set · aces & double faults
| Set | Aces | Double faults |
|---|---|---|
| Set 1 | 1–0 | 0–0 |
| Set 2 | 1–0 | 2–1 |
Figures read B. Wiger-Nordas first.
Set 239 min · 7 games · newest first
5-1
game 7
B. Wiger-Nordas serving
0-15
0-30
0-40
15-40
30-40
40-40
A-40
40-40
A-40
5-1
game 6
A. Bastola serving
BREAK
0-15
15-15
15-30
30-30
40-30
4-1
game 5
B. Wiger-Nordas serving
15-0
30-0
30-15
40-15
3-1
game 4
A. Bastola serving
BREAK
15-0
30-0
30-15
40-15
40-30
40-40
40-A
40-40
A-40
2-1
game 3
B. Wiger-Nordas serving
15-0
30-0
30-15
40-15
40-30
1-1
game 2
A. Bastola serving
BREAK
15-0
30-0
30-15
30-30
40-30
0-1
game 1
B. Wiger-Nordas serving
BREAK
0-15
0-30
0-40
15-40
30-40
Set 135 min · 7 games · newest first
6-1
game 7
A. Bastola serving
BREAK
15-0
15-15
30-15
30-30
40-30
5-1
game 6
B. Wiger-Nordas serving
15-0
30-0
30-15
40-15
40-30
40-40
A-40
4-1
game 5
A. Bastola serving
BREAK
0-15
0-30
15-30
30-30
30-40
40-40
A-40
3-1
game 4
B. Wiger-Nordas serving
15-0
30-0
30-15
40-15
2-1
game 3
A. Bastola serving
BREAK
15-0
15-15
30-15
40-15
1-1
game 2
B. Wiger-Nordas serving
15-0
30-0
40-0
0-1
game 1
A. Bastola serving
0-15
15-15
30-15
30-30
30-40
40-40
A-40
40-40
40-A
Point chips read B. Wiger-Nordas first · highlighted border marks the point winner.
Win probability
B. Wiger-NordasA. Bastola
55%
Model confidence
Why the model thinks so
- Very evenly matched