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W40 Porto 3



W40 Porto 3 Women ITF Women - Singles - Portugal 2023

ITF Women - Singles W40 Porto 3 is a tennis tournament played in Portugal. There are 48 players competing in the 2023 Women season. Among the players competing in the W40 Porto 3 are Kristina Mladenovic, S. Garakani, Maddison Inglis, Kolie Allen. Browse below for the W40 Porto 3 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

Isabella Shinikova has won 85.71% of sets played in all W40 Porto 3 matches
Isabella Shinikova has won all 1st sets in the last 5 matches played at W40 Porto 3

Players – Set Performance

Player NamePerformanceMatchesAverage
Isabella Shinikova 106 2.33
Arina Rodionova 44 2.50
Maria Bondarenko 44 2.50
Xinyu Gao 44 2.50
Arianne Hartono 34 2.25
Kristina Mladenovic 35 2.60
Daria Khomutsianskaya 23 2.00
Alina Korneeva 12 2.50
Harmony Tan 13 2.33
Ksenia Zaytseva 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
Alina Charaeva 32.00 100.00 %
Alina Korneeva 24.00 50.00 %
Anastasiia Gureva 21.00 0.00 %
Anna Kubareva 33.00 100.00 %
Arianne Hartono 19.25 25.00 %
Arina Rodionova 25.00 50.00 %
Chelsea Fontenel 23.50 50.00 %
Daria Khomutsianskaya 19.00 0.00 %
Darya Shauha 27.00 100.00 %
Dominika Salkova 24.50 50.00 %
E. Chong 21.00 0.00 %
Ena Shibahara 25.50 50.00 %
Fangran Tian 32.00 100.00 %
Francisca Jorge 30.00 100.00 %
Gabriela Knutson 31.00 100.00 %
Gabriella da Silva Fick 30.00 100.00 %
Guiomar Maristany Zuleta De Reales 17.00 0.00 %
Harmony Tan 19.67 33.33 %
Haruka Kaji 16.50 0.00 %
Isabella Shinikova 21.83 33.33 %
Kira Pavlova 17.50 0.00 %
Kolie Allen 17.00 0.00 %
Kristina Mladenovic 26.60 60.00 %
Ksenia Zaytseva 22.00 50.00 %
L. Couto 14.00 0.00 %
Laura Mair 18.00 0.00 %
Lesley Pattinama Kerkhove 19.50 50.00 %
Lily Miyazaki Yuriko 17.00 0.00 %
Lina Glushko 17.50 0.00 %
Lulu Sun 27.33 66.67 %
Maddison Inglis 23.50 50.00 %
Maria Bondarenko 20.75 25.00 %
Matilde Jorge 27.50 100.00 %
Momoko Kobori 18.50 0.00 %
Nadine Keller 18.00 0.00 %
Olga Helmi 16.00 0.00 %
Pemra Ozgen 17.50 0.00 %
Petra Hule 22.00 33.33 %
Polina Iatcenko 26.00 66.67 %
Radka Zelnickova 15.00 0.00 %
Rasheeda McAdoo 27.00 100.00 %
S. Garakani 17.00 0.00 %
Sakura Hosogi 15.00 0.00 %
Sofia Costoulas 22.00 0.00 %
Tenika Mcgiffin 20.50 50.00 %
Urszula Radwanska 16.00 0.00 %
Xinyu Gao 22.00 50.00 %
Yeonwoo Ku 21.00 50.00 %
Tournament Avg.   37.36%
Data in above table is calculated from finished matches only.

Clean Sheets

Player Name CS Pld Perc.
Isabella Shinikova 4 6 66.67%
Arianne Hartono 2 4 50.00%
Arina Rodionova 2 4 50.00%
Daria Khomutsianskaya 2 3 66.67%
Maria Bondarenko 2 4 50.00%
Xinyu Gao 2 4 50.00%
Alina Korneeva 1 2 50.00%
Harmony Tan 1 3 33.33%
Haruka Kaji 1 2 50.00%
Kira Pavlova 1 2 50.00%
Kristina Mladenovic 1 5 20.00%
Ksenia Zaytseva 1 2 50.00%
Lina Glushko 1 2 50.00%
Maddison Inglis 1 2 50.00%
Momoko Kobori 1 2 50.00%
Pemra Ozgen 1 2 50.00%
Petra Hule 1 3 33.33%
Tenika Mcgiffin 1 2 50.00%
Yeonwoo Ku 1 2 50.00%
Alina Charaeva 0 1 0.00%
Anastasiia Gureva 0 1 0.00%
Anna Kubareva 0 1 0.00%
Chelsea Fontenel 0 2 0.00%
Darya Shauha 0 1 0.00%
Dominika Salkova 0 2 0.00%
E. Chong 0 1 0.00%
Ena Shibahara 0 2 0.00%
Fangran Tian 0 1 0.00%
Francisca Jorge 0 1 0.00%
Gabriela Knutson 0 1 0.00%
Gabriella da Silva Fick 0 1 0.00%
Guiomar Maristany Zuleta De Reales 0 1 0.00%
Kolie Allen 0 1 0.00%
L. Couto 0 1 0.00%
Laura Mair 0 1 0.00%
Lesley Pattinama Kerkhove 0 2 0.00%
Lily Miyazaki Yuriko 0 1 0.00%
Lulu Sun 0 3 0.00%
Matilde Jorge 0 1 0.00%
Nadine Keller 0 1 0.00%
Olga Helmi 0 1 0.00%
Polina Iatcenko 0 3 0.00%
Radka Zelnickova 0 1 0.00%
Rasheeda McAdoo 0 1 0.00%
S. Garakani 0 1 0.00%
Sakura Hosogi 0 1 0.00%
Sofia Costoulas 0 1 0.00%
Urszula Radwanska 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%
Alina Charaeva0 33.33%
Alina Korneeva0 60.00%
Anastasiia Gureva0 0.00%
Anna Kubareva1 33.33%
Arianne Hartono0 66.67%
Arina Rodionova0 70.00%
Chelsea Fontenel0 40.00%
Daria Khomutsianskaya0 66.67%
Darya Shauha0 33.33%
Dominika Salkova0 50.00%
E. Chong1 33.33%
Ena Shibahara0 40.00%
Fangran Tian0 33.33%
Francisca Jorge1 33.33%
Gabriela Knutson1 33.33%
Gabriella da Silva Fick0 33.33%
Guiomar Maristany Zuleta De Reales0 0.00%
Harmony Tan0 57.14%
Haruka Kaji0 50.00%
Isabella Shinikova5 85.71%
Kira Pavlova0 50.00%
Kolie Allen0 0.00%
Kristina Mladenovic0 61.54%
Ksenia Zaytseva2 60.00%
L. Couto0 0.00%
Laura Mair0 0.00%
Lesley Pattinama Kerkhove0 40.00%
Lily Miyazaki Yuriko0 0.00%
Lina Glushko0 50.00%
Lulu Sun1 55.56%
Maddison Inglis2 60.00%
Maria Bondarenko0 70.00%
Matilde Jorge0 50.00%
Momoko Kobori0 50.00%
Nadine Keller0 0.00%
Olga Helmi0 0.00%
Pemra Ozgen0 50.00%
Petra Hule0 57.14%
Polina Iatcenko0 50.00%
Radka Zelnickova0 0.00%
Rasheeda McAdoo1 33.33%
S. Garakani0 0.00%
Sakura Hosogi0 0.00%
Sofia Costoulas0 0.00%
Tenika Mcgiffin0 60.00%
Urszula Radwanska0 0.00%
Xinyu Gao0 70.00%
Yeonwoo Ku2 60.00%
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 W40 Porto 3 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 W40 Porto 3. 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