Elena Rybakina def. Tatjana Maria — Round of 32, China Open 2023
WTA 1000HardBeijing, China
Played3 Oct 2023
🇰🇿Elena Rybakina
🇩🇪Tatjana Maria
Match stats
Serve
9
Aces
1
1
Double faults
3
50%
1st serve in
62%
87%
1st serve points won
52%
61%
2nd serve points won
35%
74%
Service points won
45%
0/1
Break points saved
2/7
Return
55%
Return points won
26%
5/7
Break points won
1/1
63
Total points won
36
Stats, 6 months going in
Won–lost
7–3
Last 10 matches
5–5
1–0
Last 30 days
3–3
By surface
7–3
Hard
9–6
9–3
Clay
9–6
5–2
Grass
1–3
By round
6–2
R32
8–3
3–3
R16
4–4
11–3
At WTA 1000s
2–2
How their matches go
21
Completed matches
33
57%
Won in straight sets
36%
19%
Won after losing a set
18%
24%
Lost after winning a set
21%
0%
Lost in straight sets
24%
8–2
Tiebreaks
5–4
4–5
Deciding sets
6–7
12/15
Won after winning set 1
17/21
4/6
Won after losing set 1
1/12
Serve and return, last 5 matches
–
1st serve in
55%
–
1st serve points won
66%
–
2nd serve points won
49%
–
Break points saved
48%
–
Return points won
43%
–
Break points won
44%
–
Aces a match
3.4
–
Double faults a match
3.4
Last 14 days
1
Matches
5
2
Sets
11
1
Days since last match
3
Common opponents, 6 monthsCommon opponents, 6 months going in
| Opponent | Elena Rybakina | Tatjana Maria |
|---|---|---|
| 🇷🇺Samsonova | ||
| 🇷🇺Samsonova | LostCanada SF | LostTokyo R32 |
| 🇷🇴Cirstea | ||
| 🇷🇴Cirstea | LostNew York R32 | LostLondon R128 |
| 🇪🇸Sorribes Tormo | ||
| 🇪🇸Sorribes Tormo | LostParis R32 | LostCleveland SF |
| 🇺🇦Kalinina | ||
| 🇺🇦Kalinina | WonRome F | WonCleveland R16 |
| 🇧🇷Haddad Maia | ||
| 🇧🇷Haddad Maia | WonLondon R16LostStuttgart R16 | LostParis R128 |
| 🇵🇱Świątek | ||
| 🇵🇱Świątek | WonRome QF | LostBad Homburg R32 |
| Total | ||
| Total | 3–4 | 1–5 |