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Prague Women WTA - Singles - Czech Republic 2019

Final

Semi Finals

Quarter Finals

Round 2

Round 1

Matches

Trends

Belen Teichmann Jil has won 83.33% of sets played in all Prague matches
Belen Teichmann Jil has won all 1st sets in the last 3 matches played at Prague

Players – Set Performance

Player NamePerformanceMatchesAverage
Belen Teichmann Jil 85 2.40
Karolina Muchova 55 2.60
Barbora Strycova 44 2.00
Bernarda Pera 34 2.25
Katerina Siniakova 23 2.00
A. K. Schmiedlova 12 2.50
Mandy Minella 12 2.50
Natalia Vikhlyantseva 13 2.33
Qiang Wang 13 3.00
Svetlana Kuznetsova 12 2.50
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
A. K. Schmiedlova 21.50 50.00 %
Aleksandra Krunic 17.00 0.00 %
Anastasia Potapova 27.50 100.00 %
Anastasija Sevastova 25.00 100.00 %
Andrea Petkovic 32.00 100.00 %
Antonia Lottner 17.50 0.00 %
Barbara Haas 18.00 0.00 %
Barbora Strycova 17.00 0.00 %
Belen Teichmann Jil 21.20 40.00 %
Bernarda Pera 21.00 25.00 %
Dalila Jakupovic 14.00 0.00 %
Ekaterina Alexandrova 19.00 0.00 %
Iga Swiatek 27.00 100.00 %
Jana Cepelova 15.50 0.00 %
Jasmine Paolini 16.00 0.00 %
Jennifer Brady 29.50 100.00 %
Jessica Pegula 26.00 50.00 %
Karolina Muchova 26.00 60.00 %
Katerina Siniakova 15.00 0.00 %
Kristyna Pliskova 19.00 0.00 %
Mandy Minella 21.50 50.00 %
Margarita Gasparyan 26.00 100.00 %
Marie Bouzkova 17.00 0.00 %
Mihaela Buzarnescu 18.00 0.00 %
Mona Barthel 18.00 0.00 %
Natalia Vikhlyantseva 22.67 33.33 %
Qiang Wang 27.00 100.00 %
Rose Collins Danielle 27.00 100.00 %
Stefanie Voegele 15.00 0.00 %
Svetlana Kuznetsova 21.50 50.00 %
Tamara Korpatsch 19.00 33.33 %
Viktoria Kuzmova 18.00 0.00 %
Tournament Avg.   37.24%
Data in above table is calculated from finished matches only.

Clean Sheets

Player Name CS Pld Perc.
Barbora Strycova 3 4 75.00%
Belen Teichmann Jil 3 5 60.00%
Bernarda Pera 2 4 50.00%
Karolina Muchova 2 5 40.00%
Katerina Siniakova 2 3 66.67%
A. K. Schmiedlova 1 2 50.00%
Antonia Lottner 1 2 50.00%
Jana Cepelova 1 2 50.00%
Mandy Minella 1 2 50.00%
Natalia Vikhlyantseva 1 3 33.33%
Svetlana Kuznetsova 1 2 50.00%
Tamara Korpatsch 1 3 33.33%
Aleksandra Krunic 0 1 0.00%
Anastasia Potapova 0 1 0.00%
Anastasija Sevastova 0 1 0.00%
Andrea Petkovic 0 1 0.00%
Barbara Haas 0 1 0.00%
Dalila Jakupovic 0 1 0.00%
Ekaterina Alexandrova 0 1 0.00%
Iga Swiatek 0 1 0.00%
Jasmine Paolini 0 1 0.00%
Jennifer Brady 0 1 0.00%
Jessica Pegula 0 1 0.00%
Kristyna Pliskova 0 1 0.00%
Margarita Gasparyan 0 1 0.00%
Marie Bouzkova 0 1 0.00%
Mihaela Buzarnescu 0 1 0.00%
Mona Barthel 0 1 0.00%
Qiang Wang 0 3 0.00%
Rose Collins Danielle 0 1 0.00%
Stefanie Voegele 0 1 0.00%
Viktoria Kuzmova 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 NameWin 1st SetSet Win%
A. K. Schmiedlova2 60.00%
Aleksandra Krunic0 0.00%
Anastasia Potapova0 50.00%
Anastasija Sevastova1 33.33%
Andrea Petkovic0 33.33%
Antonia Lottner0 50.00%
Barbara Haas0 0.00%
Barbora Strycova0 75.00%
Belen Teichmann Jil3 83.33%
Bernarda Pera0 66.67%
Dalila Jakupovic0 0.00%
Ekaterina Alexandrova0 0.00%
Iga Swiatek1 33.33%
Jana Cepelova0 50.00%
Jasmine Paolini0 0.00%
Jennifer Brady0 50.00%
Jessica Pegula0 40.00%
Karolina Muchova0 69.23%
Katerina Siniakova0 66.67%
Kristyna Pliskova0 0.00%
Mandy Minella0 60.00%
Margarita Gasparyan0 33.33%
Marie Bouzkova0 0.00%
Mihaela Buzarnescu0 0.00%
Mona Barthel0 0.00%
Natalia Vikhlyantseva0 57.14%
Qiang Wang0 55.56%
Rose Collins Danielle1 33.33%
Stefanie Voegele0 0.00%
Svetlana Kuznetsova2 60.00%
Tamara Korpatsch0 57.14%
Viktoria Kuzmova0 0.00%
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.
Seasons