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W25 Santo Domingo



W25 Santo Domingo Women ITF Women - Singles - Dominican Republic 2023

ITF Women - Singles W25 Santo Domingo is a tennis tournament played in Dominican Republic. There are 48 players competing in the 2023 Women season. Among the players competing in the W25 Santo Domingo are Whitney Osuigwe, Andrea Lazaro Garcia, Hina Inoue, Clervie Ngounoue. Browse below for the W25 Santo Domingo 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

Carole Monnet has won 83.33% of sets played in all W25 Santo Domingo matches
Carole Monnet has won all 1st sets in the last 4 matches played at W25 Santo Domingo

Players – Set Performance

Player NamePerformanceMatchesAverage
Carole Monnet 85 2.40
Darja Semenistaja 65 2.40
Hailey Baptiste 44 2.00
Maximus Jones 33 2.33
Sara Daavettila 33 2.33
Andrea Lazaro Garcia 23 2.00
Arianne Hartono 23 2.67
Clara Vlasselaer 23 2.67
Irene Burillo Escorihuela 24 2.50
Jessica Failla 23 2.00
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. Anazagasty-Pursoo 22.00 0.00 %
Alexandra Vecic 29.00 100.00 %
Alice Rame 20.50 0.00 %
Andrea Lazaro Garcia 20.67 33.33 %
Arianne Hartono 24.00 66.67 %
Bianca Behulova 15.00 0.00 %
Cadence Brace 23.00 50.00 %
Camilla Rosatello 18.00 0.00 %
Carole Monnet 22.00 40.00 %
Clara Vlasselaer 25.33 66.67 %
Clervie Ngounoue 15.00 0.00 %
Corinna Dentoni 20.00 0.00 %
Darja Semenistaja 22.40 40.00 %
E. Chong 19.00 0.00 %
Eva Vedder 21.50 50.00 %
Fanny Stollar 30.00 100.00 %
Francesca Curmi 17.00 0.00 %
Hailey Baptiste 18.50 0.00 %
Hanna Chang 19.00 0.00 %
Hina Inoue 27.50 100.00 %
Irene Burillo Escorihuela 21.25 50.00 %
Jenna Defalco 25.00 50.00 %
Jessica Failla 19.67 33.33 %
Jolie Fernandez Bianca 33.00 100.00 %
Katarina Jokic 15.00 0.00 %
Kayla Cross 22.00 50.00 %
Kelly Williford 26.00 100.00 %
Lauren Proctor 17.00 0.00 %
Lia Karatancheva 21.33 33.33 %
Marine Partaud 15.00 0.00 %
Maximus Jones 18.67 33.33 %
Mia Popovic 14.00 0.00 %
Nefisa Berberovic 24.50 50.00 %
Olivia Lincer 22.00 0.00 %
Rasheeda McAdoo 16.00 0.00 %
Rina Saigo 14.00 0.00 %
Sachely Carrera 14.00 0.00 %
Sada Nahimana 16.00 0.00 %
Sara Bejlek 28.00 66.67 %
Sara Daavettila 21.33 33.33 %
Sofia Costoulas 32.00 100.00 %
Sofia Sewing 23.00 50.00 %
Sohyun Park 19.50 0.00 %
Stacey Fung 21.00 0.00 %
Tessah Andrianjafitrimo 29.00 100.00 %
Tiphanie Lemaitre 18.00 0.00 %
Whitney Osuigwe 19.00 0.00 %
Xiaodi You 21.00 0.00 %
Tournament Avg.   31.18%
Data in above table is calculated from finished matches only.

Clean Sheets

Player Name CS Pld Perc.
Carole Monnet 3 5 60.00%
Darja Semenistaja 3 5 60.00%
Hailey Baptiste 3 4 75.00%
Andrea Lazaro Garcia 2 3 66.67%
Jessica Failla 2 3 66.67%
Lauren Proctor 2 3 66.67%
Maximus Jones 2 3 66.67%
Sara Daavettila 2 3 66.67%
Arianne Hartono 1 3 33.33%
Cadence Brace 1 2 50.00%
Clara Vlasselaer 1 3 33.33%
Clervie Ngounoue 1 2 50.00%
Eva Vedder 1 2 50.00%
Francesca Curmi 1 2 50.00%
Irene Burillo Escorihuela 1 4 25.00%
Lia Karatancheva 1 3 33.33%
Nefisa Berberovic 1 2 50.00%
Sofia Sewing 1 4 25.00%
Sohyun Park 1 2 50.00%
Stacey Fung 1 2 50.00%
A. Anazagasty-Pursoo 0 1 0.00%
Alexandra Vecic 0 1 0.00%
Alice Rame 0 2 0.00%
Bianca Behulova 0 1 0.00%
Camilla Rosatello 0 1 0.00%
Corinna Dentoni 0 1 0.00%
E. Chong 0 1 0.00%
Fanny Stollar 0 1 0.00%
Hanna Chang 0 1 0.00%
Hina Inoue 0 1 0.00%
Jenna Defalco 0 2 0.00%
Jolie Fernandez Bianca 0 1 0.00%
Katarina Jokic 0 1 0.00%
Kayla Cross 0 1 0.00%
Kelly Williford 0 1 0.00%
Marine Partaud 0 1 0.00%
Mia Popovic 0 1 0.00%
Olivia Lincer 0 1 0.00%
Rasheeda McAdoo 0 1 0.00%
Rina Saigo 0 1 0.00%
Sachely Carrera 0 1 0.00%
Sada Nahimana 0 1 0.00%
Sara Bejlek 0 3 0.00%
Sofia Costoulas 0 1 0.00%
Tessah Andrianjafitrimo 0 1 0.00%
Tiphanie Lemaitre 0 1 0.00%
Whitney Osuigwe 0 1 0.00%
Xiaodi You 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. Anazagasty-Pursoo1 33.33%
Alexandra Vecic0 33.33%
Alice Rame0 40.00%
Andrea Lazaro Garcia0 66.67%
Arianne Hartono0 62.50%
Bianca Behulova0 0.00%
Cadence Brace2 60.00%
Camilla Rosatello0 0.00%
Carole Monnet4 83.33%
Clara Vlasselaer0 62.50%
Clervie Ngounoue0 50.00%
Corinna Dentoni0 0.00%
Darja Semenistaja0 75.00%
E. Chong0 0.00%
Eva Vedder2 60.00%
Fanny Stollar1 33.33%
Francesca Curmi0 50.00%
Hailey Baptiste0 75.00%
Hanna Chang0 0.00%
Hina Inoue1 50.00%
Irene Burillo Escorihuela0 60.00%
Jenna Defalco0 40.00%
Jessica Failla0 66.67%
Jolie Fernandez Bianca0 33.33%
Katarina Jokic0 0.00%
Kayla Cross0 40.00%
Kelly Williford1 33.33%
Lauren Proctor0 66.67%
Lia Karatancheva0 57.14%
Marine Partaud0 0.00%
Maximus Jones0 71.43%
Mia Popovic0 0.00%
Nefisa Berberovic0 60.00%
Olivia Lincer0 0.00%
Rasheeda McAdoo0 0.00%
Rina Saigo0 0.00%
Sachely Carrera0 0.00%
Sada Nahimana0 0.00%
Sara Bejlek0 50.00%
Sara Daavettila0 71.43%
Sofia Costoulas1 33.33%
Sofia Sewing0 60.00%
Sohyun Park0 50.00%
Stacey Fung0 50.00%
Tessah Andrianjafitrimo1 33.33%
Tiphanie Lemaitre0 0.00%
Whitney Osuigwe0 0.00%
Xiaodi You0 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.

The statistics for the tennis tournament W25 Santo Domingo 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 Santo Domingo. 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