← All tennis
Set by set
| Player | Set 1 | Set 2 | Sets |
|---|---|---|---|
| F. Maestrelli | 6 | 6 | 2 |
| L. Neumayer | 4 | 0 | 0 |
Match facts
Tournament
San Marino, San Marino
Category
Challenger
Round
Round of 32
Surface
clay
Court
COURT 3
City
San Marino
First serve
L. Neumayer
Total games
12–4
Recent form
F. Maestrelli · match stats · L. Neumayer
6Aces0
2Double faults1
56%First serve in69%
71%First-serve points won50%
89%Second serve in93%
84%Second-serve points won53%
100%Break points saved20%
80%Break points converted0%
49%Return points won23%
33Service points won25
24Receiver points won10
57Total points won35
12Games won4
8Service games won4
0Tiebreaks won0
5Longest point streak4
9Longest game streak1
Per set · aces & double faults
| Set | Aces | Double faults |
|---|---|---|
| Set 1 | 4–0 | 2–1 |
| Set 2 | 1–0 | 0–0 |
Figures read F. Maestrelli first.
Set 226 min · 6 games · newest first
5-0
game 6
F. Maestrelli serving
15-0
30-0
30-15
40-15
5-0
game 5
L. Neumayer serving
BREAK
15-0
30-0
40-0
40-15
4-0
game 4
F. Maestrelli serving
15-0
30-0
40-0
40-15
3-0
game 3
L. Neumayer serving
BREAK
15-0
15-15
30-15
30-30
40-30
2-0
game 2
F. Maestrelli serving
15-0
30-0
30-15
40-15
1-0
game 1
L. Neumayer serving
BREAK
15-0
15-15
15-30
30-30
40-30
Set 146 min · 10 games · newest first
6-4
game 10
F. Maestrelli serving
15-0
15-15
15-30
15-40
30-40
40-40
A-40
5-4
game 9
L. Neumayer serving
BREAK
15-0
30-0
30-15
40-15
4-4
game 8
F. Maestrelli serving
15-0
30-0
40-0
40-15
3-4
game 7
L. Neumayer serving
0-15
0-30
15-30
30-30
30-40
40-40
40-A
40-40
40-A
3-3
game 6
F. Maestrelli serving
15-0
30-0
40-0
2-3
game 5
L. Neumayer serving
0-15
0-30
15-30
15-40
2-2
game 4
F. Maestrelli serving
15-0
30-0
30-15
40-15
40-30
1-2
game 3
L. Neumayer serving
0-15
0-30
0-40
1-1
game 2
F. Maestrelli serving
15-0
15-15
30-15
40-15
0-1
game 1
L. Neumayer serving
0-15
15-15
15-30
30-30
30-40
40-40
40-A
Point chips read F. Maestrelli first · highlighted border marks the point winner.
Win probability
F. MaestrelliL. Neumayer
58%
Model confidence
Why the model thinks so
- Better on break points