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W15 Lujan Women ITF Women - Singles - Argentina 2024

ITF Women - Singles W15 Lujan is a tennis tournament played in Argentina. There are 32 players competing in the 2024 Women season. Among the players competing in the W15 Lujan are A. Grassi, P. Beveraggi Lespiau, Carolina Xavier Laydner, Luciana Moyano. Browse below for the W15 Lujan 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

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Semi Finals

Quarter Finals

Round 2

Round 1

10/07/2024 Maria Bovio Martina
2 - 1
Carolina Ferreira Turchetto Maria
10/07/2024 Fernanda Herazo Gonzalez Maria
2 - 0
P. Beveraggi Lespiau
10/07/2024 A. Grassi
0 - 2
Luciana Moyano
10/07/2024 K. Markus
1 - 2
N. A. Soto
10/07/2024 Sol Rabin
0 - 2
N. Sousa Salazar
10/07/2024 C. Assi
0 - 2
Carla Markus
10/07/2024 Maelys Bougrat
2 - 0
Julia Konishi Camargo Silva
10/07/2024 Jasmin Ortenzi
2 - 0
Alessandra Caceres
10/07/2024 Camila Romero
2 - 0
Marian Gomez Pezuela Cano
09/07/2024 Romina Ccuno
2 - 0
Carolina Xavier Laydner
09/07/2024 Michela Castro Zunino
2 - 0
Julia Caffarena
09/07/2024 Lara Diaz Zayas
0 - 2
Luisina Giovannini
09/07/2024 Victoria Marchesini Maria
0 - 2
Chiara Di Genova
09/07/2024 Lucciana Perez Alarcon
2 - 0
Ailin Larraya Guidi Sol
09/07/2024 Florencia Urrutia Maria
1 - 2
Maria Gonzalez Daniele Justina
09/07/2024 Georgia Gulin
2 - 1
Lourdes Ayala

Trends

Lucciana Perez Alarcon has won 90.00% of sets played in all W15 Lujan matches
Lucciana Perez Alarcon has won all 1st sets in the last 5 matches played at W15 Lujan
Luisina Giovannini has won 88.89% of sets played in all W15 Lujan matches

Players – Set Performance

Player NamePerformanceMatchesAverage
Lucciana Perez Alarcon 85 2.00
Luisina Giovannini 75 1.80
Jasmin Ortenzi 54 2.25
Camila Romero 23 2.67
Carla Markus 23 2.00
Chiara Di Genova 23 2.00
Maria Gonzalez Daniele Justina 24 2.50
Michela Castro Zunino 23 2.00
Fernanda Herazo Gonzalez Maria 02 2.00
Luciana Moyano 02 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. Grassi 23.00 100.00 %
Ailin Larraya Guidi Sol 17.00 0.00 %
Alessandra Caceres 13.00 0.00 %
C. Assi 18.00 0.00 %
Camila Romero 27.33 66.67 %
Carla Markus 18.33 33.33 %
Carolina Ferreira Turchetto Maria 27.00 100.00 %
Carolina Xavier Laydner 15.00 0.00 %
Chiara Di Genova 16.33 0.00 %
Fernanda Herazo Gonzalez Maria 18.50 50.00 %
Florencia Urrutia Maria 27.00 100.00 %
Georgia Gulin 20.50 50.00 %
Jasmin Ortenzi 18.50 25.00 %
Julia Caffarena 14.00 0.00 %
Julia Konishi Camargo Silva 12.00 0.00 %
K. Markus 31.00 100.00 %
Lara Diaz Zayas 13.00 0.00 %
Lourdes Ayala 25.00 100.00 %
Lucciana Perez Alarcon 17.60 20.00 %
Luciana Moyano 19.00 50.00 %
Luisina Giovannini 13.20 0.00 %
Maelys Bougrat 16.00 0.00 %
Maria Bovio Martina 27.00 100.00 %
Maria Gonzalez Daniele Justina 24.25 50.00 %
Marian Gomez Pezuela Cano 22.00 0.00 %
Michela Castro Zunino 16.33 33.33 %
N. A. Soto 23.50 50.00 %
N. Sousa Salazar 13.50 0.00 %
P. Beveraggi Lespiau 14.00 0.00 %
Romina Ccuno 19.00 50.00 %
Sol Rabin 15.00 0.00 %
Victoria Marchesini Maria 18.00 0.00 %
Tournament Avg.   33.70%
Data in above table is calculated from finished matches only.

Clean Sheets

Player Name CS Pld Perc.
Lucciana Perez Alarcon 4 5 80.00%
Luisina Giovannini 4 5 80.00%
Jasmin Ortenzi 3 4 75.00%
Carla Markus 2 3 66.67%
Chiara Di Genova 2 3 66.67%
Michela Castro Zunino 2 3 66.67%
Camila Romero 1 3 33.33%
Fernanda Herazo Gonzalez Maria 1 2 50.00%
Luciana Moyano 1 2 50.00%
Maelys Bougrat 1 2 50.00%
Maria Gonzalez Daniele Justina 1 4 25.00%
N. Sousa Salazar 1 2 50.00%
Romina Ccuno 1 2 50.00%
A. Grassi 0 1 0.00%
Ailin Larraya Guidi Sol 0 1 0.00%
Alessandra Caceres 0 1 0.00%
C. Assi 0 1 0.00%
Carolina Ferreira Turchetto Maria 0 1 0.00%
Carolina Xavier Laydner 0 1 0.00%
Florencia Urrutia Maria 0 1 0.00%
Georgia Gulin 0 1 0.00%
Julia Caffarena 0 1 0.00%
Julia Konishi Camargo Silva 0 1 0.00%
K. Markus 0 1 0.00%
Lara Diaz Zayas 0 1 0.00%
Lourdes Ayala 0 1 0.00%
Maria Bovio Martina 0 1 0.00%
Marian Gomez Pezuela Cano 0 1 0.00%
N. A. Soto 0 1 0.00%
P. Beveraggi Lespiau 0 1 0.00%
Sol Rabin 0 1 0.00%
Victoria Marchesini Maria 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. Grassi0 0.00%
Ailin Larraya Guidi Sol0 0.00%
Alessandra Caceres0 0.00%
C. Assi0 0.00%
Camila Romero0 62.50%
Carla Markus0 66.67%
Carolina Ferreira Turchetto Maria1 33.33%
Carolina Xavier Laydner0 0.00%
Chiara Di Genova0 66.67%
Fernanda Herazo Gonzalez Maria0 50.00%
Florencia Urrutia Maria0 33.33%
Georgia Gulin0 40.00%
Jasmin Ortenzi0 77.78%
Julia Caffarena0 0.00%
Julia Konishi Camargo Silva0 0.00%
K. Markus1 33.33%
Lara Diaz Zayas0 0.00%
Lourdes Ayala1 33.33%
Lucciana Perez Alarcon5 90.00%
Luciana Moyano0 50.00%
Luisina Giovannini0 88.89%
Maelys Bougrat0 50.00%
Maria Bovio Martina0 50.00%
Maria Gonzalez Daniele Justina0 60.00%
Marian Gomez Pezuela Cano0 0.00%
Michela Castro Zunino0 66.67%
N. A. Soto0 40.00%
N. Sousa Salazar0 50.00%
P. Beveraggi Lespiau0 0.00%
Romina Ccuno0 50.00%
Sol Rabin0 0.00%
Victoria Marchesini Maria0 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 Lujan 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 Lujan. 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