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W100 H La Bisbal D&Apos;Emporda



W100 H La Bisbal D&Apos;Emporda Women ITF Women - Singles - Spain 2022

ITF Women - Singles W100 H La Bisbal D&Apos;Emporda is a tennis tournament played in Spain. There are 32 players competing in the 2022 Women season. Among the players competing in the W100 H La Bisbal D&Apos;Emporda are Olivia Gadecki, Rebeka Masarova, Asia Muhammad, Sara Errani. Browse below for the W100 H La Bisbal D&Apos;Emporda 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

11/05/2022 Marina Bassols Ribera
1 - 0
Danka Kovinic
11/05/2022 Guiomar Maristany Zuleta De Reales
1 - 2
Asia Muhammad
11/05/2022 Despina Papamichail
2 - 0
Aliona Bolsova Zadoinov
11/05/2022 Andrea Lazaro Garcia
1 - 2
Xinyu Wang
11/05/2022 Solana Sierra
2 - 0
Sara Errani
11/05/2022 Renata Zarazua
2 - 0
Irene Burillo Escorihuela
11/05/2022 Arantxa Rus
2 - 0
Seone Mendez
11/05/2022 Olivia Gadecki
2 - 0
Jessica Bouzas Maneiro
11/05/2022 Reka-Luca Jani
2 - 0
Caty McNally
10/05/2022 Marcela Zacarias
0 - 2
Victoria Jimenez Kasintseva
10/05/2022 Cristiana Ferrando
2 - 0
Lina Glushko
10/05/2022 Rebeka Masarova
2 - 0
Yvonne Cavalle-Reimers
10/05/2022 Jamie Loeb
1 - 2
Georgiana Ghioroaie Ilona
10/05/2022 Grace Min
0 - 2
Francesca Di Lorenzo
10/05/2022 Andreea Prisacariu
0 - 2
Erika Andreeva
10/05/2022 Daniela Vismane
2 - 0
Oksana Selekhmeteva

Trends

Erika Andreeva has won all 1st sets in the last 3 matches played at W100 H La Bisbal D&Apos;Emporda
Rebeka Masarova has won all 1st sets in the last 3 matches played at W100 H La Bisbal D&Apos;Emporda

Players – Set Performance

Player NamePerformanceMatchesAverage
Xinyu Wang 65 2.80
Victoria Jimenez Kasintseva 54 2.25
Erika Andreeva 45 2.40
Asia Muhammad 34 2.75
Arantxa Rus 22 2.00
Daniela Vismane 23 2.00
Rebeka Masarova 23 2.67
Renata Zarazua 23 2.00
Cristiana Ferrando 12 2.50
Despina Papamichail 12 2.50
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
Aliona Bolsova Zadoinov 15.00 0.00 %
Andrea Lazaro Garcia 28.00 100.00 %
Andreea Prisacariu 23.00 100.00 %
Arantxa Rus 17.50 0.00 %
Asia Muhammad 29.25 75.00 %
Caty McNally 18.00 0.00 %
Cristiana Ferrando 23.00 50.00 %
Daniela Vismane 19.67 0.00 %
Danka Kovinic 7.00 0.00 %
Despina Papamichail 23.00 50.00 %
Erika Andreeva 24.60 60.00 %
Francesca Di Lorenzo 21.50 50.00 %
Georgiana Ghioroaie Ilona 24.00 50.00 %
Grace Min 17.00 0.00 %
Guiomar Maristany Zuleta De Reales 33.00 100.00 %
Irene Burillo Escorihuela 18.00 0.00 %
Jamie Loeb 27.00 100.00 %
Jessica Bouzas Maneiro 16.00 0.00 %
Lina Glushko 18.00 0.00 %
Marcela Zacarias 18.00 0.00 %
Marina Bassols Ribera 17.67 33.33 %
Oksana Selekhmeteva 20.00 0.00 %
Olivia Gadecki 18.50 0.00 %
Rebeka Masarova 24.33 66.67 %
Reka-Luca Jani 19.50 0.00 %
Renata Zarazua 16.67 0.00 %
Sara Errani 18.00 0.00 %
Seone Mendez 14.00 0.00 %
Solana Sierra 16.50 0.00 %
Victoria Jimenez Kasintseva 19.25 25.00 %
Xinyu Wang 24.60 80.00 %
Yvonne Cavalle-Reimers 16.00 0.00 %
Tournament Avg.   29.38%
Data in above table is calculated from finished matches only.

Clean Sheets

Player Name CS Pld Perc.
Victoria Jimenez Kasintseva 3 4 75.00%
Daniela Vismane 2 3 66.67%
Erika Andreeva 2 5 40.00%
Renata Zarazua 2 3 66.67%
Arantxa Rus 1 2 50.00%
Asia Muhammad 1 4 25.00%
Cristiana Ferrando 1 2 50.00%
Despina Papamichail 1 2 50.00%
Francesca Di Lorenzo 1 2 50.00%
Marina Bassols Ribera 1 3 33.33%
Olivia Gadecki 1 2 50.00%
Rebeka Masarova 1 3 33.33%
Reka-Luca Jani 1 2 50.00%
Solana Sierra 1 2 50.00%
Xinyu Wang 1 5 20.00%
Aliona Bolsova Zadoinov 0 1 0.00%
Andrea Lazaro Garcia 0 1 0.00%
Andreea Prisacariu 0 1 0.00%
Caty McNally 0 1 0.00%
Danka Kovinic 0 1 0.00%
Georgiana Ghioroaie Ilona 0 1 0.00%
Grace Min 0 1 0.00%
Guiomar Maristany Zuleta De Reales 0 1 0.00%
Irene Burillo Escorihuela 0 1 0.00%
Jamie Loeb 0 1 0.00%
Jessica Bouzas Maneiro 0 1 0.00%
Lina Glushko 0 1 0.00%
Marcela Zacarias 0 1 0.00%
Oksana Selekhmeteva 0 1 0.00%
Sara Errani 0 1 0.00%
Seone Mendez 0 1 0.00%
Yvonne Cavalle-Reimers 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%
Aliona Bolsova Zadoinov0 0.00%
Andrea Lazaro Garcia0 33.33%
Andreea Prisacariu0 0.00%
Arantxa Rus2 75.00%
Asia Muhammad0 63.64%
Caty McNally0 0.00%
Cristiana Ferrando0 60.00%
Daniela Vismane0 66.67%
Danka Kovinic0 0.00%
Despina Papamichail2 60.00%
Erika Andreeva3 66.67%
Francesca Di Lorenzo0 60.00%
Georgiana Ghioroaie Ilona0 40.00%
Grace Min0 0.00%
Guiomar Maristany Zuleta De Reales1 33.33%
Irene Burillo Escorihuela0 0.00%
Jamie Loeb1 33.33%
Jessica Bouzas Maneiro0 0.00%
Lina Glushko0 0.00%
Marcela Zacarias0 0.00%
Marina Bassols Ribera0 50.00%
Oksana Selekhmeteva0 0.00%
Olivia Gadecki0 50.00%
Rebeka Masarova3 62.50%
Reka-Luca Jani0 50.00%
Renata Zarazua0 66.67%
Sara Errani0 0.00%
Seone Mendez0 0.00%
Solana Sierra0 50.00%
Victoria Jimenez Kasintseva0 77.78%
Xinyu Wang0 71.43%
Yvonne Cavalle-Reimers0 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 W100 H La Bisbal D&Apos;Emporda 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 W100 H La Bisbal D&Apos;Emporda. 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