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W15 Rosario-Santa Fe



W15 Rosario-Santa Fe Women ITF Women - Singles - Argentina 2023

ITF Women - Singles W15 Rosario-Santa Fe is a tennis tournament played in Argentina. There are 32 players competing in the 2023 Women season. Among the players competing in the W15 Rosario-Santa Fe are Victoria Burstein Maria, Guillermina Naya, L. F. Britez Risso, Julieta Estable Lara. Browse below for the W15 Rosario-Santa Fe 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

28/06/2023 S. Rabin
0 - 2
Guillermina Naya
28/06/2023 Alisha Reayer
2 - 0
Chiara Di Genova
28/06/2023 L. F. Britez Risso
2 - 0
Valentina Mutilba
28/06/2023 Z. M. Castro
0 - 2
Victoria Burstein Maria
28/06/2023 Romina Ccuno
1 - 2
Ailin Larraya Guidi Sol
28/06/2023 Paloma Goldsmith Weinreich
1 - 2
Serena Pereyra Giubbani
28/06/2023 Elizabeth Reasco Gonzalez Mell
2 - 0
S. C. Karlau
28/06/2023 J. Haller
2 - 0
Alessandra Caceres
27/06/2023 Florencia Urrutia Maria
2 - 0
Tiziana Rossini
27/06/2023 L. M. Cinalli
0 - 2
Camila Romero
27/06/2023 Victoria Marchesini Maria
0 - 2
Luciana Blatter
27/06/2023 Marina Bulbarella
2 - 1
Catarina Melleiro
27/06/2023 Julieta Estable Lara
2 - 0
C. Vazquez
27/06/2023 Carla Markus
2 - 0
N. Poj
27/06/2023 Daniela Merlo Rocio
1 - 2
Carolina Ferreira Turchetto Maria
27/06/2023 Paula Neffa De Los Rios Ana
0 - 2
Fernanda Labrana

Trends

Guillermina Naya has won 100.00% of sets played in all W15 Rosario-Santa Fe matches
Guillermina Naya has won all 1st sets in the last 5 matches played at W15 Rosario-Santa Fe

Players – Set Performance

Player NamePerformanceMatchesAverage
Guillermina Naya 105 2.00
Ailin Larraya Guidi Sol 45 2.00
Elizabeth Reasco Gonzalez Mell 44 2.00
Florencia Urrutia Maria 44 2.00
Alisha Reayer 23 2.00
Luciana Blatter 23 2.00
Camila Romero 13 2.33
Carla Markus 13 2.33
J. Haller 12 2.50
Carolina Ferreira Turchetto Maria 02 3.00
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
Ailin Larraya Guidi Sol 18.60 20.00 %
Alessandra Caceres 18.00 0.00 %
Alisha Reayer 18.33 0.00 %
C. Vazquez 20.00 0.00 %
Camila Romero 20.00 33.33 %
Carla Markus 20.33 33.33 %
Carolina Ferreira Turchetto Maria 27.00 100.00 %
Catarina Melleiro 31.00 100.00 %
Chiara Di Genova 21.00 0.00 %
Daniela Merlo Rocio 28.00 100.00 %
Elizabeth Reasco Gonzalez Mell 18.25 25.00 %
Fernanda Labrana 16.00 0.00 %
Florencia Urrutia Maria 18.00 0.00 %
Guillermina Naya 16.40 0.00 %
J. Haller 23.00 50.00 %
Julieta Estable Lara 21.00 0.00 %
L. F. Britez Risso 19.50 0.00 %
L. M. Cinalli 16.00 0.00 %
Luciana Blatter 17.00 0.00 %
Marina Bulbarella 23.00 50.00 %
N. Poj 15.00 0.00 %
Paloma Goldsmith Weinreich 28.00 100.00 %
Paula Neffa De Los Rios Ana 16.00 0.00 %
Romina Ccuno 29.00 100.00 %
S. C. Karlau 16.00 0.00 %
S. Rabin 13.00 0.00 %
Serena Pereyra Giubbani 29.50 100.00 %
Tiziana Rossini 17.00 0.00 %
Valentina Mutilba 21.00 0.00 %
Victoria Burstein Maria 18.00 0.00 %
Victoria Marchesini Maria 18.00 0.00 %
Z. M. Castro 20.00 0.00 %
Tournament Avg.   25.36%
Data in above table is calculated from finished matches only.

Clean Sheets

Player Name CS Pld Perc.
Guillermina Naya 5 5 100.00%
Ailin Larraya Guidi Sol 3 5 60.00%
Florencia Urrutia Maria 3 4 75.00%
Alisha Reayer 2 3 66.67%
Elizabeth Reasco Gonzalez Mell 2 4 50.00%
Luciana Blatter 2 3 66.67%
Camila Romero 1 3 33.33%
Carla Markus 1 3 33.33%
Fernanda Labrana 1 2 50.00%
J. Haller 1 2 50.00%
Julieta Estable Lara 1 2 50.00%
L. F. Britez Risso 1 2 50.00%
Victoria Burstein Maria 1 2 50.00%
Alessandra Caceres 0 1 0.00%
C. Vazquez 0 1 0.00%
Carolina Ferreira Turchetto Maria 0 1 0.00%
Catarina Melleiro 0 1 0.00%
Chiara Di Genova 0 1 0.00%
Daniela Merlo Rocio 0 1 0.00%
L. M. Cinalli 0 1 0.00%
Marina Bulbarella 0 1 0.00%
N. Poj 0 1 0.00%
Paloma Goldsmith Weinreich 0 1 0.00%
Paula Neffa De Los Rios Ana 0 1 0.00%
Romina Ccuno 0 1 0.00%
S. C. Karlau 0 1 0.00%
S. Rabin 0 1 0.00%
Serena Pereyra Giubbani 0 2 0.00%
Tiziana Rossini 0 1 0.00%
Valentina Mutilba 0 1 0.00%
Victoria Marchesini Maria 0 1 0.00%
Z. M. Castro 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%
Ailin Larraya Guidi Sol0 70.00%
Alessandra Caceres0 0.00%
Alisha Reayer0 66.67%
C. Vazquez0 0.00%
Camila Romero0 57.14%
Carla Markus0 57.14%
Carolina Ferreira Turchetto Maria0 50.00%
Catarina Melleiro0 33.33%
Chiara Di Genova0 0.00%
Daniela Merlo Rocio0 33.33%
Elizabeth Reasco Gonzalez Mell0 75.00%
Fernanda Labrana0 50.00%
Florencia Urrutia Maria0 75.00%
Guillermina Naya5 100.00%
J. Haller2 60.00%
Julieta Estable Lara0 50.00%
L. F. Britez Risso0 50.00%
L. M. Cinalli0 0.00%
Luciana Blatter0 66.67%
Marina Bulbarella0 40.00%
N. Poj0 0.00%
Paloma Goldsmith Weinreich1 33.33%
Paula Neffa De Los Rios Ana0 0.00%
Romina Ccuno1 33.33%
S. C. Karlau0 0.00%
S. Rabin0 0.00%
Serena Pereyra Giubbani1 50.00%
Tiziana Rossini0 0.00%
Valentina Mutilba0 0.00%
Victoria Burstein Maria0 50.00%
Victoria Marchesini Maria0 0.00%
Z. M. Castro0 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 W15 Rosario-Santa Fe 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 W15 Rosario-Santa Fe. 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