Tatjana Maria def. Martina Trevisan — Round of 64, China Open 2023
WTA 1000HardBeijing, China
Played30 Sep 2023
🇩🇪Tatjana Maria
🇮🇹Martina Trevisan
Match stats
Serve
4
Aces
0
6
Double faults
4
53%
1st serve in
63%
66%
1st serve points won
49%
53%
2nd serve points won
46%
60%
Service points won
48%
4/8
Break points saved
3/8
Return
52%
Return points won
40%
5/8
Break points won
4/8
80
Total points won
63
Stats, 6 months going in
Won–lost
5–5
Last 10 matches
5–5
2–3
Last 30 days
3–2
By surface
8–6
Hard
5–4
9–6
Clay
6–7
1–3
Grass
0–2
By round
0–1
R64
3–2
8–3
R32
4–5
9–7
First match at an event
6–7
1–2
At WTA 1000s
6–4
How their matches go
32
Completed matches
20
34%
Won in straight sets
35%
19%
Won after losing a set
15%
22%
Lost after winning a set
30%
25%
Lost in straight sets
20%
4–4
Tiebreaks
5–2
6–7
Deciding sets
3–6
16/20
Won after winning set 1
7/11
1/12
Won after losing set 1
3/9
Serve and return, last 5 matches
58%
1st serve in
–
68%
1st serve points won
–
46%
2nd serve points won
–
48%
Break points saved
–
40%
Return points won
–
33%
Break points won
–
4.4
Aces a match
–
2.4
Double faults a match
–
Last 14 days
4
Matches
4
9
Sets
10
5
Days since last match
9
Common opponents, 6 monthsCommon opponents, 6 months going in
| Opponent | Tatjana Maria | Martina Trevisan |
|---|---|---|
| 🇰🇿Putintseva | ||
| 🇰🇿Putintseva | LostGuangzhou QF | WonNew York R128 |
| 🇪🇸Sorribes Tormo | ||
| 🇪🇸Sorribes Tormo | LostCleveland SF | LostLondon R128 |
| 🇺🇸Stearns | ||
| 🇺🇸Stearns | WonBogota F | LostCleveland R32 |
| 🇺🇸Pera | ||
| 🇺🇸Pera | LostMadrid R64 | WonCincinnati R64 |
| 🇧🇷Haddad Maia | ||
| 🇧🇷Haddad Maia | LostParis R128 | LostStuttgart R32 |
| Total | ||
| Total | 1–4 | 2–3 |