tennisstats247.com
W60 Olomouc



W60 Olomouc Women ITF Women - Singles - Czech Republic 2023

ITF Women - Singles W60 Olomouc is a tennis tournament played in Czech Republic. There are 48 players competing in the 2023 Women season. Among the players competing in the W60 Olomouc are Pia Lovric, Natalia Siedliska, J. Denisenko, T. Lemaitre. Browse below for the W60 Olomouc 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

Trends

Darja Semenistaja has won 90.91% of sets played in all W60 Olomouc matches
Marie Benoit has won all 1st sets in the last 3 matches played at W60 Olomouc

Players – Set Performance

Player NamePerformanceMatchesAverage
Darja Semenistaja 95 2.20
Sara Cakarevic 65 2.40
Lea Boskovic 45 2.80
Alexandra Ignatik 34 2.25
Marie Benoit 33 2.33
Tereza Valentova 34 2.25
Anna Gabric 23 2.00
Alice Rame 12 2.50
Ivana Sebestova 12 2.50
Leyre Romero Gormaz 13 2.33
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. Kucmova 15.00 0.00 %
Alexandra Ignatik 19.75 25.00 %
Alice Rame 24.50 50.00 %
Aneta Laboutkova 22.00 0.00 %
Anika Jaskova 23.50 50.00 %
Anna Gabric 19.67 0.00 %
D. D. Feldmane 14.00 0.00 %
Darja Semenistaja 21.40 20.00 %
Denisa Hindova 21.00 0.00 %
Eszter Meri 19.00 33.33 %
Federica Di Sarra 20.00 0.00 %
Fernanda Herazo Gonzalez Maria 22.00 0.00 %
Ivana Sebestova 27.50 50.00 %
J. Denisenko 12.00 0.00 %
Julie Struplova 31.00 100.00 %
Katarzyna Kawa 7.00 0.00 %
Kristyna Tomajkova 27.00 100.00 %
Ksenia Laskutova 20.00 0.00 %
Lea Boskovic 25.00 80.00 %
Leonie Kung 28.00 100.00 %
Lexie Stevens 27.50 100.00 %
Leyre Romero Gormaz 19.67 33.33 %
Lina Gjorcheska 27.00 100.00 %
Linda Klimovicova 28.00 100.00 %
Lisa Pigato 28.00 100.00 %
Lisa Zaar 18.50 0.00 %
Maria Mateas 5.00 0.00 %
Marie Benoit 19.00 33.33 %
Miriana Tona 30.00 100.00 %
Nadine Smith Tina 25.50 50.00 %
Nagi Hanatani 14.00 0.00 %
Natalia Krockova 19.00 0.00 %
Natalia Siedliska 16.33 33.33 %
Patricia Bejenaru Karola 13.00 0.00 %
Pia Lovric 13.00 0.00 %
Rosa Vicens Mas 18.00 0.00 %
Sapfo Sakellaridi 21.00 50.00 %
Sara Cakarevic 22.20 40.00 %
Silvia Ambrosio 14.00 0.00 %
Sofia Rocchetti 30.00 100.00 %
T. Lemaitre 24.00 100.00 %
Tayisiya Morderger 29.00 100.00 %
Tereza Smitkova 19.00 0.00 %
Tereza Valentova 20.75 50.00 %
Weronika Falkowska 28.50 100.00 %
Yana Morderger 20.00 0.00 %
Yuliya Hatouka 24.00 33.33 %
Zhibek Kulambayeva 29.00 100.00 %
Tournament Avg.   40.24%
Data in above table is calculated from finished matches only.

Clean Sheets

Player Name CS Pld Perc.
Darja Semenistaja 4 5 80.00%
Sara Cakarevic 3 5 60.00%
Alexandra Ignatik 2 4 50.00%
Anna Gabric 2 3 66.67%
Marie Benoit 2 3 66.67%
Pia Lovric 2 3 66.67%
Tereza Valentova 2 4 50.00%
Alice Rame 1 2 50.00%
Eszter Meri 1 3 33.33%
Ivana Sebestova 1 2 50.00%
Lea Boskovic 1 5 20.00%
Leyre Romero Gormaz 1 3 33.33%
Lisa Zaar 1 2 50.00%
Nagi Hanatani 1 2 50.00%
Natalia Siedliska 1 3 33.33%
Rosa Vicens Mas 1 2 50.00%
Yuliya Hatouka 1 3 33.33%
A. Kucmova 0 1 0.00%
Aneta Laboutkova 0 1 0.00%
Anika Jaskova 0 2 0.00%
D. D. Feldmane 0 1 0.00%
Denisa Hindova 0 2 0.00%
Federica Di Sarra 0 1 0.00%
Fernanda Herazo Gonzalez Maria 0 1 0.00%
J. Denisenko 0 1 0.00%
Julie Struplova 0 1 0.00%
Katarzyna Kawa 0 1 0.00%
Kristyna Tomajkova 0 1 0.00%
Ksenia Laskutova 0 1 0.00%
Leonie Kung 0 2 0.00%
Lexie Stevens 0 1 0.00%
Lina Gjorcheska 0 2 0.00%
Linda Klimovicova 0 1 0.00%
Lisa Pigato 0 1 0.00%
Maria Mateas 0 1 0.00%
Miriana Tona 0 1 0.00%
Nadine Smith Tina 0 1 0.00%
Natalia Krockova 0 1 0.00%
Patricia Bejenaru Karola 0 1 0.00%
Sapfo Sakellaridi 0 2 0.00%
Silvia Ambrosio 0 1 0.00%
Sofia Rocchetti 0 1 0.00%
T. Lemaitre 0 1 0.00%
Tayisiya Morderger 0 1 0.00%
Tereza Smitkova 0 1 0.00%
Weronika Falkowska 0 2 0.00%
Yana Morderger 0 1 0.00%
Zhibek Kulambayeva 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. Kucmova0 0.00%
Alexandra Ignatik0 66.67%
Alice Rame2 60.00%
Aneta Laboutkova1 33.33%
Anika Jaskova0 40.00%
Anna Gabric0 66.67%
D. D. Feldmane0 0.00%
Darja Semenistaja0 90.91%
Denisa Hindova0 40.00%
Eszter Meri0 50.00%
Federica Di Sarra0 0.00%
Fernanda Herazo Gonzalez Maria0 33.33%
Ivana Sebestova2 60.00%
J. Denisenko0 0.00%
Julie Struplova0 33.33%
Katarzyna Kawa0 0.00%
Kristyna Tomajkova0 33.33%
Ksenia Laskutova0 0.00%
Lea Boskovic2 64.29%
Leonie Kung1 50.00%
Lexie Stevens0 50.00%
Leyre Romero Gormaz0 57.14%
Lina Gjorcheska0 40.00%
Linda Klimovicova1 50.00%
Lisa Pigato1 33.33%
Lisa Zaar0 50.00%
Marie Benoit3 71.43%
Miriana Tona1 33.33%
Nadine Smith Tina2 50.00%
Nagi Hanatani0 50.00%
Natalia Krockova0 0.00%
Natalia Siedliska0 40.00%
Patricia Bejenaru Karola0 0.00%
Pia Lovric0 60.00%
Rosa Vicens Mas0 50.00%
Sapfo Sakellaridi0 40.00%
Sara Cakarevic0 75.00%
Silvia Ambrosio0 0.00%
Sofia Rocchetti1 33.33%
T. Lemaitre1 33.33%
Tayisiya Morderger1 33.33%
Tereza Smitkova0 0.00%
Tereza Valentova0 66.67%
Weronika Falkowska0 50.00%
Yana Morderger0 0.00%
Yuliya Hatouka0 57.14%
Zhibek Kulambayeva1 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 W60 Olomouc 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 ITF Women - Singles W60 Olomouc. 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.

Seasons