← All tennis
Set by set
| Player | Set 1 | Set 2 | Sets |
|---|---|---|---|
| A. Prat | 6 | 6 | 2 |
| M. Krupkin | 2 | 2 | 0 |
Match facts
Tournament
UTR PTT Miami Men 01
Category
Utr
Round
Final
Surface
hard
Court
Neil Schiff Tennis Center - Court 02
City
Coral Gables
First serve
M. Krupkin
Total games
12–4
A. Prat · match stats · M. Krupkin
1Aces0
2Double faults5
67%First serve in63%
65%First-serve points won63%
88%Second serve in76%
71%Second-serve points won10%
86%Break points saved64%
36%Break points converted14%
57%Return points won33%
34Service points won24
32Receiver points won17
66Total points won41
12Games won4
7Service games won3
0Tiebreaks won0
10Longest point streak4
6Longest game streak2
Per set · aces & double faults
| Set | Aces | Double faults |
|---|---|---|
| Set 1 | 1–0 | 1–2 |
| Set 2 | 0–0 | 1–3 |
Figures read A. Prat first.
Set 244 min · 8 games · newest first
6-2
game 8
A. Prat serving
15-0
30-0
30-15
40-15
5-2
game 7
M. Krupkin serving
15-0
15-15
30-15
40-15
40-30
40-40
40-A
40-40
40-A
5-1
game 6
A. Prat serving
BREAK
0-15
0-30
15-30
30-30
30-40
5-0
game 5
M. Krupkin serving
BREAK
15-0
30-0
30-15
40-15
40-30
4-0
game 4
A. Prat serving
15-0
30-0
40-0
3-0
game 3
M. Krupkin serving
BREAK
0-15
15-15
30-15
40-15
2-0
game 2
A. Prat serving
0-15
15-15
15-30
15-40
30-40
40-40
A-40
1-0
game 1
M. Krupkin serving
BREAK
15-0
30-0
40-0
40-15
40-30
40-40
40-A
40-40
A-40
Set 153 min · 8 games · newest first
6-2
game 8
A. Prat serving
15-0
30-0
40-0
40-15
5-2
game 7
M. Krupkin serving
15-0
30-0
30-15
30-30
30-40
5-1
game 6
A. Prat serving
0-15
0-30
0-40
15-40
30-40
40-40
40-A
40-40
A-40
4-1
game 5
M. Krupkin serving
BREAK
15-0
30-0
40-0
40-15
3-1
game 4
A. Prat serving
15-0
15-15
30-15
40-15
2-1
game 3
M. Krupkin serving
0-15
15-15
30-15
40-15
40-30
40-40
40-A
40-40
40-A
2-0
game 2
A. Prat serving
15-0
15-15
30-15
40-15
40-30
40-40
A-40
1-0
game 1
M. Krupkin serving
BREAK
15-0
30-0
40-0
Point chips read A. Prat first · highlighted border marks the point winner.
Win probability
A. PratM. Krupkin
51%
Model confidence
Why the model thinks so
- Very evenly matched
How the model did
Predicted M. Krupkin
— wrong