The WTA 1000 Toronto field remains tightly bunched because of exceptional depth across the hard-court draw, with multiple players posting comparable recent results on the surface and no single dominant force emerging after a disrupted clay and grass swing. Traders price several names around similar implied probabilities due to strong form from recent tournaments, solid head-to-head records in North American conditions, and the absence of confirmed withdrawals or major injury setbacks for leading contenders. This parity heightens upset potential in early rounds, where serve-volley specialists and consistent baseline players can exploit variable conditions and short recovery windows between matches. The wisdom of crowds reflected in current pricing underscores how evenly matched the field appears heading into qualifying and main draw action.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गयाSorana Cirstea 50%
Ekaterina Alexandrova 50%
Marie Bouzkova 50%
Anastasia Potapova 50%
Sorana Cirstea
50%
Ekaterina Alexandrova
50%
Marie Bouzkova
50%
Anastasia Potapova
50%
Tamara Korpatsch
50%
Jessica Pegula
26%
Iga Swiatek
26%
Naomi Osaka
26%
Maja Chwalinska
25%
Elise Mertens
25%
Emma Navarro
25%
Jelena Ostapenko
25%
Clara Tauson
25%
Aryna Sabalenka
24%
Anna Blinkova
20%
Coco Gauff
17%
Mirra Andreeva
17%
Linda Noskova
16%
Amanda Anisimova
16%
Elina Svitolina
14%
Elena Rybakina
14%
Marta Kostyuk
14%
Madison Keys
14%
Belinda Bencic
13%
Iva Jovic
13%
Diana Shnaider
13%
Barbora Krejcikova
13%
Alexandra Eala
13%
Diane Parry
3%
Katie Boulter
3%
Anhelina Kalinina
3%
Polina Kudermetova
3%
Oleksandra Oliynykova
3%
Anna Kalinskaya
13%
Camila Osorio
1%
Alycia Parks
1%
Karolina Pliskova
1%
Yulia Putintseva
1%
Kamilla Rakhimova
1%
Elena-Gabriela Ruse
1%
Antonia Ruzic
1%
Liudmila Samsonova
1%
Ann Li
1%
Maria Sakkari
1%
Leylah Fernandez
1%
Donna Vekic
1%
Katerina Siniakova
1%
Bianca Andreescu
1%
Nikola Bartunkova
1%
Sara Bejlek
1%
Lois Boisson
1%
Anna Bondar
1%
Jessica Bouzas Maneiro
1%
Kayla Cross
1%
Kayla Day
1%
Magdalena Frech
1%
Talia Gibson
1%
Viktorija Golubic
1%
Leolia Jeanjean
1%
Victoria Jimenez Kasintseva
1%
Maya Joint
1%
Emerson Jones
1%
Daria Kasatkina
1%
McCartney Kessler
1%
Alina Korneeva
1%
Magda Linette
1%
Eva Lys
1%
Tatjana Maria
1%
Rebecca Marino
1%
Caty McNally
1%
Katherine Sebov
1%
Solana Sierra
1%
Zeynep Sonmez
1%
Rebecca Sramkova
1%
Yuliia Starodubtseva
1%
Peyton Stearns
1%
Sloane Stephens
1%
Lanlana Tararudee
1%
Janice Tjen
1%
Taylor Townsend
1%
Tereza Valentova
1%
Xinyu Wang
1%
Cadence Brace
<1%
Elisabetta Cocciaretto
<1%
Moyuka Uchijima
-
Panna Udvardy
-
Renata Zarazua
-
Shuai Zhang
-
Carol Zhao
-
Sorana Cirstea 50%
Ekaterina Alexandrova 50%
Marie Bouzkova 50%
Anastasia Potapova 50%
Sorana Cirstea
50%
Ekaterina Alexandrova
50%
Marie Bouzkova
50%
Anastasia Potapova
50%
Tamara Korpatsch
50%
Jessica Pegula
26%
Iga Swiatek
26%
Naomi Osaka
26%
Maja Chwalinska
25%
Elise Mertens
25%
Emma Navarro
25%
Jelena Ostapenko
25%
Clara Tauson
25%
Aryna Sabalenka
24%
Anna Blinkova
20%
Coco Gauff
17%
Mirra Andreeva
17%
Linda Noskova
16%
Amanda Anisimova
16%
Elina Svitolina
14%
Elena Rybakina
14%
Marta Kostyuk
14%
Madison Keys
14%
Belinda Bencic
13%
Iva Jovic
13%
Diana Shnaider
13%
Barbora Krejcikova
13%
Alexandra Eala
13%
Diane Parry
3%
Katie Boulter
3%
Anhelina Kalinina
3%
Polina Kudermetova
3%
Oleksandra Oliynykova
3%
Anna Kalinskaya
13%
Camila Osorio
1%
Alycia Parks
1%
Karolina Pliskova
1%
Yulia Putintseva
1%
Kamilla Rakhimova
1%
Elena-Gabriela Ruse
1%
Antonia Ruzic
1%
Liudmila Samsonova
1%
Ann Li
1%
Maria Sakkari
1%
Leylah Fernandez
1%
Donna Vekic
1%
Katerina Siniakova
1%
Bianca Andreescu
1%
Nikola Bartunkova
1%
Sara Bejlek
1%
Lois Boisson
1%
Anna Bondar
1%
Jessica Bouzas Maneiro
1%
Kayla Cross
1%
Kayla Day
1%
Magdalena Frech
1%
Talia Gibson
1%
Viktorija Golubic
1%
Leolia Jeanjean
1%
Victoria Jimenez Kasintseva
1%
Maya Joint
1%
Emerson Jones
1%
Daria Kasatkina
1%
McCartney Kessler
1%
Alina Korneeva
1%
Magda Linette
1%
Eva Lys
1%
Tatjana Maria
1%
Rebecca Marino
1%
Caty McNally
1%
Katherine Sebov
1%
Solana Sierra
1%
Zeynep Sonmez
1%
Rebecca Sramkova
1%
Yuliia Starodubtseva
1%
Peyton Stearns
1%
Sloane Stephens
1%
Lanlana Tararudee
1%
Janice Tjen
1%
Taylor Townsend
1%
Tereza Valentova
1%
Xinyu Wang
1%
Cadence Brace
<1%
Elisabetta Cocciaretto
<1%
Moyuka Uchijima
-
Panna Udvardy
-
Renata Zarazua
-
Shuai Zhang
-
Carol Zhao
-
If this tournament is postponed after August 27, 2026, 11:59 PM ET, canceled, or a winner has not been declared within this timeframe, this market will resolve to "Other."
If multiple players are declared winner, this market will resolve in favor of the player whose name comes first alphabetically.
The resolution source for this market will be official information from the tournament organizer, the WTA (wtatennis.com) or National Bank Open (nationalbankopen.com); however, a consensus of credible reporting may also be used.
बाज़ार खुला: Aug 3, 2026, 10:54 AM ET
Resolver
0x69c47De9D...If this tournament is postponed after August 27, 2026, 11:59 PM ET, canceled, or a winner has not been declared within this timeframe, this market will resolve to "Other."
If multiple players are declared winner, this market will resolve in favor of the player whose name comes first alphabetically.
The resolution source for this market will be official information from the tournament organizer, the WTA (wtatennis.com) or National Bank Open (nationalbankopen.com); however, a consensus of credible reporting may also be used.
Resolver
0x69c47De9D...The WTA 1000 Toronto field remains tightly bunched because of exceptional depth across the hard-court draw, with multiple players posting comparable recent results on the surface and no single dominant force emerging after a disrupted clay and grass swing. Traders price several names around similar implied probabilities due to strong form from recent tournaments, solid head-to-head records in North American conditions, and the absence of confirmed withdrawals or major injury setbacks for leading contenders. This parity heightens upset potential in early rounds, where serve-volley specialists and consistent baseline players can exploit variable conditions and short recovery windows between matches. The wisdom of crowds reflected in current pricing underscores how evenly matched the field appears heading into qualifying and main draw action.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गया
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