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Alan Fernando Rubio Fierros (4)
Mexico
Serving
Lancelot Erler (WC)
France
Serving
Alan Fernando Rubio Fierros (4)
Mexico
Serving
2–0
6-0 · 6-0
Final
Lancelot Erler (WC)
France
Serving
Set by set
| Player | Set 1 | Set 2 | Sets |
|---|---|---|---|
| A. Rubio Fierros | 6 | 6 | 2 |
| L. Erler | 0 | 0 | 0 |
Momentum — game by game, ● = break
▲ A. Rubio Fierros
▼ L. Erler
Match facts
Tournament
Troyes, France
Category
Challenger
Round
Qualification Round 1
Surface
clay
Court
Center Court
City
Troyes
First serve
A. Rubio Fierros
Total games
12–0
Recent form
L. Erler
A. Rubio Fierros · match stats · L. Erler
1Aces0
2Double faults2
71%First serve in59%
91%First-serve points won40%
78%Second serve in86%
56%Second-serve points won7%
100%Break points saved25%
75%Break points converted0%
74%Return points won19%
25Service points won9
25Receiver points won6
50Total points won15
12Games won0
6Service games won0
0Tiebreaks won0
12Longest point streak2
12Longest game streak0
Per set · aces & double faults
| Set | Aces | Double faults |
|---|---|---|
| Set 1 | 1–0 | 1–1 |
| Set 2 | 0–0 | 1–1 |
Figures read A. Rubio Fierros first.
Set 222 min · 6 games · newest first
6-0
game 6
A. Rubio Fierros serving
15-0
15-15
30-15
40-15
40-30
5-0
game 5
L. Erler serving
BREAK
15-0
30-0
30-15
40-15
4-0
game 4
A. Rubio Fierros serving
15-0
30-0
40-0
3-0
game 3
L. Erler serving
BREAK
15-0
15-15
15-30
30-30
40-30
2-0
game 2
A. Rubio Fierros serving
15-0
30-0
40-0
1-0
game 1
L. Erler serving
BREAK
15-0
15-15
30-15
40-15
Set 123 min · 6 games · newest first
6-0
game 6
A. Rubio Fierros serving
15-0
30-0
40-0
5-0
game 5
L. Erler serving
BREAK
15-0
30-0
40-0
4-0
game 4
A. Rubio Fierros serving
15-0
15-15
30-15
40-15
3-0
game 3
L. Erler serving
BREAK
15-0
15-15
30-15
40-15
40-30
2-0
game 2
A. Rubio Fierros serving
0-15
15-15
15-30
15-40
30-40
40-40
A-40
1-0
game 1
L. Erler serving
BREAK
15-0
15-15
30-15
30-30
40-30
40-40
A-40
Point chips read A. Rubio Fierros first · highlighted border marks the point winner.
Win probability
A. Rubio FierrosL. Erler
58%
Model confidence
Why the model thinks so
- Slight statistical edge