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W25 Santa Margherita Di Pula



W25 Santa Margherita Di Pula Women ITF Women - Singles - Italy 2023

ITF Women - Singles W25 Santa Margherita Di Pula is a tennis tournament played in Italy. There are 32 players competing in the 2023 Women season. Among the players competing in the W25 Santa Margherita Di Pula are Irene Burillo Escorihuela, Weronika Falkowska, Maja Chwalinska, Fiona Ganz. Browse below for the W25 Santa Margherita Di Pula 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 2

Round 1

05/04/2023 Maja Chwalinska
0 - 0
Weronika Falkowska
05/04/2023 Wilda Hennemann Caijsa
0 - 2
Fiona Ferro
05/04/2023 Carlota Martinez Cirez
2 - 0
Andrea Lazaro Garcia
05/04/2023 Angelica Moratelli
2 - 0
Fiona Ganz
05/04/2023 Deborah Chiesa
1 - 2
Bianca Bulgaru Miriam
05/04/2023 Lois Boisson
1 - 2
Valentini Grammatikopoulou
05/04/2023 Cagla Buyukakcay
2 - 0
Nadine Keller
05/04/2023 Arantxa Rus
2 - 0
Michaela Laki
05/04/2023 Sapfo Sakellaridi
2 - 0
Nikita Uberoi
05/04/2023 Katharina Hobgarski
2 - 0
Matilde Paoletti
05/04/2023 Zeynep Sonmez
2 - 0
Kajsa Rinaldo Persson
04/04/2023 Lucie Nguyen Tan
2 - 0
Federica Urgesi
04/04/2023 Georgia Pedone
2 - 0
Maria Bondarenko
04/04/2023 Irene Burillo Escorihuela
0 - 2
Ekaterina Makarova
04/04/2023 Yuliya Hatouka
0 - 2
Seone Mendez
04/04/2023 Lisa Pigato
0 - 2
Sonay Kartal

Trends

Ekaterina Makarova has won 81.82% of sets played in all W25 Santa Margherita Di Pula matches
Ekaterina Makarova has won all 1st sets in the last 5 matches played at W25 Santa Margherita Di Pula
Bianca Bulgaru Miriam has won all 1st sets in the last 4 matches played at W25 Santa Margherita Di Pula

Players – Set Performance

Player NamePerformanceMatchesAverage
Ekaterina Makarova 75 2.20
Sonay Kartal 65 2.80
Bianca Bulgaru Miriam 44 2.50
Arantxa Rus 23 2.00
Katharina Hobgarski 23 2.00
Valentini Grammatikopoulou 23 2.67
Zeynep Sonmez 23 2.00
Angelica Moratelli 12 1.50
Seone Mendez 12 2.50
Weronika Falkowska 14 1.75
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
Andrea Lazaro Garcia 23.00 100.00 %
Angelica Moratelli 15.50 0.00 %
Arantxa Rus 18.00 33.33 %
Bianca Bulgaru Miriam 23.75 75.00 %
Cagla Buyukakcay 19.50 0.00 %
Carlota Martinez Cirez 23.50 100.00 %
Deborah Chiesa 23.00 100.00 %
Ekaterina Makarova 18.60 20.00 %
Federica Urgesi 19.00 0.00 %
Fiona Ferro 17.00 0.00 %
Fiona Ganz 19.00 0.00 %
Georgia Pedone 20.50 50.00 %
Irene Burillo Escorihuela 18.00 0.00 %
Kajsa Rinaldo Persson 16.00 0.00 %
Katharina Hobgarski 18.00 0.00 %
Lisa Pigato 18.00 0.00 %
Lois Boisson 25.00 100.00 %
Lucie Nguyen Tan 16.50 0.00 %
Maja Chwalinska 7.00 0.00 %
Maria Bondarenko 18.00 0.00 %
Matilde Paoletti 18.00 0.00 %
Michaela Laki 16.00 0.00 %
Nadine Keller 18.00 0.00 %
Nikita Uberoi 15.00 0.00 %
Sapfo Sakellaridi 17.50 0.00 %
Seone Mendez 26.00 50.00 %
Sonay Kartal 26.20 80.00 %
Valentini Grammatikopoulou 25.33 100.00 %
Weronika Falkowska 17.25 25.00 %
Wilda Hennemann Caijsa 17.00 0.00 %
Yuliya Hatouka 22.00 0.00 %
Zeynep Sonmez 14.67 0.00 %
Tournament Avg.   26.04%
Data in above table is calculated from finished matches only.

Clean Sheets

Player Name CS Pld Perc.
Ekaterina Makarova 4 5 80.00%
Arantxa Rus 2 3 66.67%
Bianca Bulgaru Miriam 2 4 50.00%
Katharina Hobgarski 2 3 66.67%
Zeynep Sonmez 2 3 66.67%
Angelica Moratelli 1 2 50.00%
Cagla Buyukakcay 1 2 50.00%
Carlota Martinez Cirez 1 2 50.00%
Fiona Ferro 1 2 50.00%
Georgia Pedone 1 2 50.00%
Lucie Nguyen Tan 1 2 50.00%
Sapfo Sakellaridi 1 2 50.00%
Seone Mendez 1 2 50.00%
Sonay Kartal 1 5 20.00%
Valentini Grammatikopoulou 1 3 33.33%
Weronika Falkowska 1 2 50.00%
Andrea Lazaro Garcia 0 1 0.00%
Deborah Chiesa 0 1 0.00%
Federica Urgesi 0 1 0.00%
Fiona Ganz 0 1 0.00%
Irene Burillo Escorihuela 0 1 0.00%
Kajsa Rinaldo Persson 0 1 0.00%
Lisa Pigato 0 1 0.00%
Lois Boisson 0 1 0.00%
Maja Chwalinska 0 1 0.00%
Maria Bondarenko 0 1 0.00%
Matilde Paoletti 0 1 0.00%
Michaela Laki 0 1 0.00%
Nadine Keller 0 1 0.00%
Nikita Uberoi 0 1 0.00%
Wilda Hennemann Caijsa 0 1 0.00%
Yuliya Hatouka 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%
Andrea Lazaro Garcia0 0.00%
Angelica Moratelli0 66.67%
Arantxa Rus0 66.67%
Bianca Bulgaru Miriam4 70.00%
Cagla Buyukakcay0 50.00%
Carlota Martinez Cirez0 50.00%
Deborah Chiesa0 33.33%
Ekaterina Makarova5 81.82%
Federica Urgesi0 0.00%
Fiona Ferro0 50.00%
Fiona Ganz0 0.00%
Georgia Pedone0 50.00%
Irene Burillo Escorihuela0 0.00%
Kajsa Rinaldo Persson0 0.00%
Katharina Hobgarski0 66.67%
Lisa Pigato0 0.00%
Lois Boisson1 33.33%
Lucie Nguyen Tan0 50.00%
Maria Bondarenko0 0.00%
Matilde Paoletti0 0.00%
Michaela Laki0 0.00%
Nadine Keller0 0.00%
Nikita Uberoi0 0.00%
Sapfo Sakellaridi0 50.00%
Seone Mendez0 60.00%
Sonay Kartal0 71.43%
Valentini Grammatikopoulou2 62.50%
Weronika Falkowska0 57.14%
Wilda Hennemann Caijsa0 0.00%
Yuliya Hatouka0 0.00%
Zeynep Sonmez0 66.67%
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 W25 Santa Margherita Di Pula 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 W25 Santa Margherita Di Pula. 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