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Cincinnati Women WTA - Singles - USA 2023
WTA - Singles Cincinnati is a tennis tournament played in USA. There are 57 players competing in the 2023 Women season. Among the players competing in the Cincinnati are Jasmine Paolini, Beatriz Haddad Maia, Ons Jabeur, Elina Svitolina. Browse below for the Cincinnati match results and fixtures, tennis trends or over/under number of games among other various statistics like 1st Set win sequence or set winning averages.
Final
Semi Finals
Quarter Finals
Round 3
Round 2
Round 1
🎾 Matches
Trends
 Elena Rybakina has won 100.00% of sets played in all Cincinnati matchesCoco Gauff has won 90.91% of sets played in all Cincinnati matches Coco Gauff has won all 1st sets in the last 5 matches played at Cincinnati Marie Bouzkova has won 85.71% of sets played in all Cincinnati matches Marie Bouzkova has won all 1st sets in the last 3 matches played at Cincinnati Aryna Sabalenka has won all 1st sets in the last 4 matches played at Cincinnati
Players – Set Performance
Data in above table is calculated for Set Performance as number of sets won minus number of sets lost along the tournament.
Over/Under
| Matches of... |
Total games score (player + opponent)
|
|
Avg.
| over 22.5 |
|
Aliaksandra Sasnovich
|
17.00
|
0.00
%
|
|
Anastasia Pavlyuchenkova
|
16.00
|
0.00
%
|
|
Anastasia Potapova
|
23.50
|
50.00
%
|
|
Anhelina Kalinina
|
28.00
|
50.00
%
|
|
Ann Li
|
28.50
|
100.00
%
|
|
Anna Blinkova
|
19.00
|
0.00
%
|
|
Aryna Sabalenka
|
24.75
|
50.00
%
|
|
Barbora Krejcikova
|
21.00
|
0.00
%
|
|
Beatriz Haddad Maia
|
30.00
|
100.00
%
|
|
Belinda Bencic
|
27.00
|
100.00
%
|
|
Bernarda Pera
|
24.00
|
100.00
%
|
|
Caroline Garcia
|
30.00
|
100.00
%
|
|
Caroline Wozniacki
|
20.00
|
0.00
%
|
|
Celine Naef
|
29.00
|
100.00
%
|
|
Coco Gauff
|
20.00
|
20.00
%
|
|
Cristina Bucsa
|
21.50
|
50.00
%
|
|
Danielle Collins
|
14.50
|
0.00
%
|
|
Daria Kasatkina
|
16.33
|
0.00
%
|
|
Donna Vekic
|
17.50
|
50.00
%
|
|
Ekaterina Alexandrova
|
14.00
|
0.00
%
|
|
Elena Rybakina
|
17.00
|
0.00
%
|
|
Elisabetta Cocciaretto
|
20.00
|
0.00
%
|
|
Elise Mertens
|
26.00
|
100.00
%
|
|
Emma Navarro
|
26.00
|
100.00
%
|
|
Iga Swiatek
|
22.00
|
50.00
%
|
|
Irina-Camelia Begu
|
16.00
|
0.00
%
|
|
Jasmine Paolini
|
16.25
|
0.00
%
|
|
Jelena Ostapenko
|
26.00
|
100.00
%
|
|
Jessica Pegula
|
23.00
|
50.00
%
|
|
Karolina Muchova
|
22.50
|
66.67
%
|
|
Karolina Pliskova
|
26.00
|
100.00
%
|
|
Katerina Siniakova
|
22.00
|
0.00
%
|
|
Lin Zhu
|
21.00
|
0.00
%
|
|
Linda Noskova
|
22.33
|
66.67
%
|
|
Liudmila Samsonova
|
24.00
|
100.00
%
|
|
Madison Keys
|
27.00
|
100.00
%
|
|
Magda Linette
|
27.00
|
100.00
%
|
|
Maria Sakkari
|
27.50
|
100.00
%
|
|
Marie Bouzkova
|
15.00
|
25.00
%
|
|
Marketa Vondrousova
|
20.25
|
0.00
%
|
|
Marta Kostyuk
|
15.00
|
0.00
%
|
|
Martina Trevisan
|
27.00
|
100.00
%
|
|
Mayar Sherif
|
26.00
|
50.00
%
|
|
Ons Jabeur
|
21.00
|
33.33
%
|
|
Petra Kvitova
|
23.00
|
50.00
%
|
|
Petra Martic
|
26.50
|
100.00
%
|
|
Peyton Stearns
|
15.00
|
0.00
%
|
|
Qinwen Zheng
|
20.67
|
33.33
%
|
|
Sloane Stephens
|
23.67
|
33.33
%
|
|
Sorana Cirstea
|
21.50
|
50.00
%
|
|
Varvara Gracheva
|
18.00
|
0.00
%
|
|
Venus Williams
|
22.00
|
0.00
%
|
|
Veronika Kudermetova
|
22.00
|
0.00
%
|
|
Victoria Azarenka
|
24.50
|
50.00
%
|
|
Xiyu Wang
|
36.00
|
100.00
%
|
|
Tournament Avg.
| |
45.97%
|
Data in above table is calculated from finished matches only.
Clean Sheets
| Player Name |
CS
|
Pld
|
Perc.
|
| Coco Gauff |
4
|
5
|
80.00%
|
| Marketa Vondrousova |
3
|
4
|
75.00%
|
| Aryna Sabalenka |
2
|
4
|
50.00%
|
| Daria Kasatkina |
2
|
3
|
66.67%
|
| Iga Swiatek |
2
|
4
|
50.00%
|
| Jasmine Paolini |
2
|
4
|
50.00%
|
| Marie Bouzkova |
2
|
4
|
50.00%
|
| Anhelina Kalinina |
1
|
2
|
50.00%
|
| Danielle Collins |
1
|
2
|
50.00%
|
| Karolina Muchova |
1
|
6
|
16.67%
|
| Ons Jabeur |
1
|
3
|
33.33%
|
| Petra Kvitova |
1
|
2
|
50.00%
|
| Qinwen Zheng |
1
|
3
|
33.33%
|
| Sloane Stephens |
1
|
3
|
33.33%
|
| Sorana Cirstea |
1
|
2
|
50.00%
|
| Varvara Gracheva |
1
|
2
|
50.00%
|
| Venus Williams |
1
|
2
|
50.00%
|
| Victoria Azarenka |
1
|
2
|
50.00%
|
| Aliaksandra Sasnovich |
0
|
1
|
0.00%
|
| Anastasia Pavlyuchenkova |
0
|
1
|
0.00%
|
| Anastasia Potapova |
0
|
2
|
0.00%
|
| Ann Li |
0
|
1
|
0.00%
|
| Anna Blinkova |
0
|
1
|
0.00%
|
| Barbora Krejcikova |
0
|
1
|
0.00%
|
| Beatriz Haddad Maia |
0
|
1
|
0.00%
|
| Belinda Bencic |
0
|
1
|
0.00%
|
| Bernarda Pera |
0
|
1
|
0.00%
|
| Caroline Garcia |
0
|
1
|
0.00%
|
| Caroline Wozniacki |
0
|
1
|
0.00%
|
| Celine Naef |
0
|
1
|
0.00%
|
| Cristina Bucsa |
0
|
1
|
0.00%
|
| Donna Vekic |
0
|
1
|
0.00%
|
| Ekaterina Alexandrova |
0
|
1
|
0.00%
|
| Elena Rybakina |
0
|
1
|
0.00%
|
| Elisabetta Cocciaretto |
0
|
1
|
0.00%
|
| Elise Mertens |
0
|
1
|
0.00%
|
| Emma Navarro |
0
|
1
|
0.00%
|
| Irina-Camelia Begu |
0
|
1
|
0.00%
|
| Jelena Ostapenko |
0
|
1
|
0.00%
|
| Jessica Pegula |
0
|
2
|
0.00%
|
| Karolina Pliskova |
0
|
1
|
0.00%
|
| Katerina Siniakova |
0
|
1
|
0.00%
|
| Lin Zhu |
0
|
1
|
0.00%
|
| Linda Noskova |
0
|
3
|
0.00%
|
| Liudmila Samsonova |
0
|
1
|
0.00%
|
| Madison Keys |
0
|
1
|
0.00%
|
| Magda Linette |
0
|
1
|
0.00%
|
| Maria Sakkari |
0
|
2
|
0.00%
|
| Marta Kostyuk |
0
|
1
|
0.00%
|
| Martina Trevisan |
0
|
1
|
0.00%
|
| Mayar Sherif |
0
|
1
|
0.00%
|
| Petra Martic |
0
|
2
|
0.00%
|
| Peyton Stearns |
0
|
1
|
0.00%
|
| Veronika Kudermetova |
0
|
1
|
0.00%
|
| Xiyu Wang |
0
|
1
|
0.00%
|
Data in above table lists the number of clean sheets (matches with no lost sets) out of total matches played by each player in this tournament. All finished and retired matches are counted towards these statistics.
Form – Win Sequences
| Player Name | Win 1st Set | Set Win% |
| Aliaksandra Sasnovich | 0 |
0.00%
|
| Anastasia Pavlyuchenkova | 0 |
0.00%
|
| Anastasia Potapova | 0 |
40.00%
|
| Anhelina Kalinina | 0 |
60.00%
|
| Ann Li | 0 |
50.00%
|
| Anna Blinkova | 0 |
0.00%
|
| Aryna Sabalenka | 4 |
70.00%
|
| Barbora Krejcikova | 0 |
0.00%
|
| Beatriz Haddad Maia | 1 |
33.33%
|
| Belinda Bencic | 1 |
33.33%
|
| Bernarda Pera | 1 |
33.33%
|
| Caroline Garcia | 1 |
33.33%
|
| Caroline Wozniacki | 0 |
0.00%
|
| Celine Naef | 1 |
33.33%
|
| Coco Gauff | 5 |
90.91%
|
| Cristina Bucsa | 0 |
40.00%
|
| Danielle Collins | 0 |
50.00%
|
| Daria Kasatkina | 0 |
66.67%
|
| Donna Vekic | 0 |
66.67%
|
| Ekaterina Alexandrova | 0 |
0.00%
|
| Elena Rybakina | 1 |
100.00%
|
| Elisabetta Cocciaretto | 0 |
0.00%
|
| Elise Mertens | 0 |
50.00%
|
| Emma Navarro | 0 |
33.33%
|
| Iga Swiatek | 0 |
70.00%
|
| Irina-Camelia Begu | 0 |
0.00%
|
| Jasmine Paolini | 0 |
57.14%
|
| Jelena Ostapenko | 0 |
66.67%
|
| Jessica Pegula | 0 |
40.00%
|
| Karolina Muchova | 0 |
57.14%
|
| Karolina Pliskova | 1 |
33.33%
|
| Katerina Siniakova | 0 |
0.00%
|
| Lin Zhu | 0 |
0.00%
|
| Linda Noskova | 0 |
50.00%
|
| Liudmila Samsonova | 1 |
33.33%
|
| Madison Keys | 0 |
33.33%
|
| Magda Linette | 1 |
33.33%
|
| Maria Sakkari | 0 |
50.00%
|
| Marie Bouzkova | 3 |
85.71%
|
| Marketa Vondrousova | 0 |
75.00%
|
| Marta Kostyuk | 0 |
0.00%
|
| Martina Trevisan | 1 |
50.00%
|
| Mayar Sherif | 0 |
40.00%
|
| Ons Jabeur | 0 |
40.00%
|
| Petra Kvitova | 2 |
60.00%
|
| Petra Martic | 0 |
50.00%
|
| Peyton Stearns | 0 |
0.00%
|
| Qinwen Zheng | 1 |
62.50%
|
| Sloane Stephens | 0 |
57.14%
|
| Sorana Cirstea | 2 |
60.00%
|
| Varvara Gracheva | 0 |
50.00%
|
| Venus Williams | 2 |
60.00%
|
| Veronika Kudermetova | 0 |
0.00%
|
| Victoria Azarenka | 2 |
60.00%
|
| Xiyu Wang | 0 |
33.33%
|
Data in above table lists consecutive 1st Set wins by each player. When 1st Set is lost, data is reset. Set Win percentage shows the winning percentage out of total sets played by each player in this tournament. All finished and retired matches are counted towards these statistics.
The statistics for the tennis tournament Cincinnati are updated regularly, as games are played and results are processed. Data shown in these statistics is organized to make it easy to identify tournament trends and probabilities for future tennis games, something that TennisStats247 system uses to calculate the predictions for WTA - Singles Cincinnati. The Predictions section comes with updated daily tips as our algorithm calculates probabilities for various outcomes in tennis games and it improves as more tennis statistics are available from matches played.
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