← All tennis
Set by set
| Player | Set 1 | Set 2 | Sets |
|---|---|---|---|
| J. Pospisil | 6 | 6 | 2 |
| J. Psota | 1 | 2 | 0 |
Match facts
Tournament
UTR Olomouc M04
Category
Utr
Surface
carpet
Court
Omega Sport - Court 01
City
Olomouc
First serve
J. Pospisil
Total games
12–3
Recent form
J. Pospisil · match stats · J. Psota
2Aces0
3Double faults5
65%First serve in60%
73%First-serve points won42%
85%Second serve in71%
55%Second-serve points won29%
75%Break points saved50%
50%Break points converted25%
63%Return points won33%
38Service points won16
27Receiver points won19
65Total points won35
12Games won3
7Service games won2
0Tiebreaks won0
9Longest point streak5
5Longest game streak2
Per set · aces & double faults
| Set | Aces | Double faults |
|---|---|---|
| Set 1 | 1–0 | 3–4 |
| Set 2 | 1–0 | 0–1 |
Figures read J. Pospisil first.
Set 236 min · 8 games · newest first
6-2
game 8
J. Pospisil serving
0-15
15-15
15-30
30-30
40-30
40-40
A-40
5-2
game 7
J. Psota serving
BREAK
15-0
30-0
40-0
40-15
4-2
game 6
J. Pospisil serving
15-0
15-15
30-15
40-15
3-2
game 5
J. Psota serving
BREAK
15-0
30-0
40-0
2-2
game 4
J. Pospisil serving
15-0
30-0
40-0
1-2
game 3
J. Psota serving
0-15
0-30
15-30
15-40
30-40
1-1
game 2
J. Pospisil serving
BREAK
0-15
0-30
15-30
30-30
40-30
40-40
40-A
1-0
game 1
J. Psota serving
BREAK
15-0
30-0
40-0
Set 138 min · 7 games · newest first
6-1
game 7
J. Pospisil serving
15-0
30-0
40-0
5-1
game 6
J. Psota serving
BREAK
0-15
0-30
15-30
30-30
40-30
40-40
A-40
40-40
A-40
4-1
game 5
J. Pospisil serving
15-0
30-0
30-15
40-15
40-30
40-40
A-40
40-40
A-40
3-1
game 4
J. Psota serving
BREAK
15-0
30-0
40-0
40-15
40-30
2-1
game 3
J. Pospisil serving
15-0
30-0
40-0
1-1
game 2
J. Psota serving
15-0
15-15
15-30
30-30
30-40
40-40
40-A
1-0
game 1
J. Pospisil serving
15-0
15-15
15-30
15-40
30-40
40-40
40-A
40-40
A-40
40-40
A-40
40-40
A-40
Point chips read J. Pospisil first · highlighted border marks the point winner.
Win probability
J. PospisilJ. Psota
54%
Model confidence
Why the model thinks so
- Very evenly matched
How the model did
Predicted J. Pospisil
— correct