🎾 Tennis AI Picks, Predictions and Model Probabilities
Our Tennis picks today are generated using a specialized AI prediction system that analyzes player form, surface performance, serve and return metrics, recent match results, and head-to-head matchups. By evaluating ranking trends, tournament context, and key performance indicators, our model identifies high-value opportunities across Tennis moneyline and match outcome predictions.
📊 Tennis Predictions
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📅 2026-09-03 TODAY
Jan-Lennard Struff
Sharp Consensus
51.5%
Prediction Lab
-106
vs
Francisco Cerundolo
Sharp Consensus
48.5%
Prediction Lab
+106
Model pick
Jan-Lennard Struff
Confidence
51.5%
Pick Confidence
Grinder2
52.0%
Francisco Cerundolo
Takedown
50.3%
Francisco Cerundolo
Edge
52.7%
Jan-Lennard Struff
XSharp
53.0%
Francisco Cerundolo
Efficiency
54.0%
Jan-Lennard Struff
Sharp Consensus
51.5%
Jan-Lennard Struff
Event
US Open
Model pick
Jan-Lennard Struff
Confidence
51.5%
Taylor Fritz
Sharp Consensus
53.4%
Prediction Lab
-114
vs
Mattia Bellucci
Sharp Consensus
46.6%
Prediction Lab
+114
Model pick
Taylor Fritz
Confidence
53.4%
Pick Confidence
Grinder2
50.1%
Mattia Bellucci
Takedown
51.6%
Taylor Fritz
Edge
54.6%
Taylor Fritz
XSharp
51.1%
Mattia Bellucci
Efficiency
55.9%
Taylor Fritz
Sharp Consensus
53.4%
Taylor Fritz
Event
US Open
Model pick
Taylor Fritz
Confidence
53.4%
Dane Sweeny
Sharp Consensus
42.8%
Prediction Lab
+134
vs
Lorenzo Musetti
Sharp Consensus
57.2%
Prediction Lab
-134
Model pick
Lorenzo Musetti
Confidence
57.2%
Pick Confidence
Grinder2
60.7%
Lorenzo Musetti
Takedown
59.0%
Lorenzo Musetti
Edge
56.0%
Lorenzo Musetti
XSharp
61.7%
Lorenzo Musetti
Efficiency
54.7%
Lorenzo Musetti
Sharp Consensus
57.2%
Lorenzo Musetti
Event
US Open
Model pick
Lorenzo Musetti
Confidence
57.2%
Jakub Mensik
Sharp Consensus
47.0%
Prediction Lab
+113
vs
Jurij Rodionov
Sharp Consensus
53.0%
Prediction Lab
-113
Model pick
Jurij Rodionov
Confidence
53.0%
Pick Confidence
Grinder2
56.5%
Jurij Rodionov
Takedown
54.8%
Jurij Rodionov
Edge
51.8%
Jurij Rodionov
XSharp
57.5%
Jurij Rodionov
Efficiency
50.5%
Jurij Rodionov
Sharp Consensus
53.0%
Jurij Rodionov
Event
US Open
Model pick
Jurij Rodionov
Confidence
53.0%
Nikola Bartunkova
Sharp Consensus
50.1%
Prediction Lab
-100
vs
Tatjana Maria
Sharp Consensus
49.9%
Prediction Lab
+100
Model pick
Nikola Bartunkova
Confidence
50.1%
Pick Confidence
Grinder2
53.4%
Tatjana Maria
Takedown
51.7%
Tatjana Maria
Edge
51.3%
Nikola Bartunkova
XSharp
54.4%
Tatjana Maria
Efficiency
52.6%
Nikola Bartunkova
Sharp Consensus
50.1%
Nikola Bartunkova
Event
US Open
Model pick
Nikola Bartunkova
Confidence
50.1%
Oleksandra Oliynykova
Sharp Consensus
51.3%
Prediction Lab
-105
vs
Alexandra Eala
Sharp Consensus
48.7%
Prediction Lab
+105
Model pick
Oleksandra Oliynykova
Confidence
51.3%
Pick Confidence
Grinder2
52.2%
Alexandra Eala
Takedown
50.5%
Alexandra Eala
Edge
52.5%
Oleksandra Oliynykova
XSharp
53.2%
Alexandra Eala
Efficiency
53.8%
Oleksandra Oliynykova
Sharp Consensus
51.3%
Oleksandra Oliynykova
Event
US Open
Model pick
Oleksandra Oliynykova
Confidence
51.3%
Alexei Popyrin
Sharp Consensus
48.3%
Prediction Lab
+107
vs
Alejandro Tabilo
Sharp Consensus
51.7%
Prediction Lab
-107
Model pick
Alejandro Tabilo
Confidence
51.7%
Pick Confidence
Grinder2
55.2%
Alejandro Tabilo
Takedown
53.5%
Alejandro Tabilo
Edge
50.5%
Alejandro Tabilo
XSharp
56.2%
Alejandro Tabilo
Efficiency
50.8%
Alexei Popyrin
Sharp Consensus
51.7%
Alejandro Tabilo
Event
US Open
Model pick
Alejandro Tabilo
Confidence
51.7%
Tristan Schoolkate
Sharp Consensus
50.1%
Prediction Lab
-100
vs
Flavio Cobolli
Sharp Consensus
49.9%
Prediction Lab
+100
Model pick
Tristan Schoolkate
Confidence
50.1%
Pick Confidence
Grinder2
53.4%
Flavio Cobolli
Takedown
51.7%
Flavio Cobolli
Edge
51.3%
Tristan Schoolkate
XSharp
54.4%
Flavio Cobolli
Efficiency
52.6%
Tristan Schoolkate
Sharp Consensus
50.1%
Tristan Schoolkate
Event
US Open
Model pick
Tristan Schoolkate
Confidence
50.1%
Zheng Qinwen
Sharp Consensus
56.8%
Prediction Lab
-131
vs
Yulia Putintseva
Sharp Consensus
43.2%
Prediction Lab
+131
Model pick
Zheng Qinwen
Confidence
56.8%
Pick Confidence
Grinder2
53.3%
Zheng Qinwen
Takedown
55.0%
Zheng Qinwen
Edge
58.0%
Zheng Qinwen
XSharp
52.3%
Zheng Qinwen
Efficiency
59.3%
Zheng Qinwen
Sharp Consensus
56.8%
Zheng Qinwen
Event
US Open
Model pick
Zheng Qinwen
Confidence
56.8%
Cristina Bucsa
Sharp Consensus
46.7%
Prediction Lab
+114
vs
Himeno Sakatsume
Sharp Consensus
53.3%
Prediction Lab
-114
Model pick
Himeno Sakatsume
Confidence
53.3%
Pick Confidence
Grinder2
56.8%
Himeno Sakatsume
Takedown
55.1%
Himeno Sakatsume
Edge
52.1%
Himeno Sakatsume
XSharp
57.8%
Himeno Sakatsume
Efficiency
50.8%
Himeno Sakatsume
Sharp Consensus
53.3%
Himeno Sakatsume
Event
US Open
Model pick
Himeno Sakatsume
Confidence
53.3%
Alexander Blockx
Sharp Consensus
47.2%
Prediction Lab
+112
vs
Marco Trungelliti
Sharp Consensus
52.8%
Prediction Lab
-112
Model pick
Marco Trungelliti
Confidence
52.8%
Pick Confidence
Grinder2
56.2%
Marco Trungelliti
Takedown
54.5%
Marco Trungelliti
Edge
51.5%
Marco Trungelliti
XSharp
57.2%
Marco Trungelliti
Efficiency
50.2%
Marco Trungelliti
Sharp Consensus
52.8%
Marco Trungelliti
Event
US Open
Model pick
Marco Trungelliti
Confidence
52.8%
Mirra Andreeva
Sharp Consensus
53.2%
Prediction Lab
-114
vs
Eva Lys
Sharp Consensus
46.8%
Prediction Lab
+114
Model pick
Mirra Andreeva
Confidence
53.2%
Pick Confidence
Grinder2
50.3%
Eva Lys
Takedown
51.4%
Mirra Andreeva
Edge
54.4%
Mirra Andreeva
XSharp
51.3%
Eva Lys
Efficiency
55.7%
Mirra Andreeva
Sharp Consensus
53.2%
Mirra Andreeva
Event
US Open
Model pick
Mirra Andreeva
Confidence
53.2%
Zizou Bergs
Sharp Consensus
51.4%
Prediction Lab
-106
vs
Jesper de Jong
Sharp Consensus
48.6%
Prediction Lab
+106
Model pick
Zizou Bergs
Confidence
51.4%
Pick Confidence
Grinder2
52.1%
Jesper de Jong
Takedown
50.4%
Jesper de Jong
Edge
52.6%
Zizou Bergs
XSharp
53.1%
Jesper de Jong
Efficiency
53.9%
Zizou Bergs
Sharp Consensus
51.4%
Zizou Bergs
Event
US Open
Model pick
Zizou Bergs
Confidence
51.4%
Benjamin Bonzi
Sharp Consensus
46.6%
Prediction Lab
+115
vs
Ignacio Buse
Sharp Consensus
53.4%
Prediction Lab
-115
Model pick
Ignacio Buse
Confidence
53.4%
Pick Confidence
Grinder2
57.0%
Ignacio Buse
Takedown
55.2%
Ignacio Buse
Edge
52.2%
Ignacio Buse
XSharp
58.0%
Ignacio Buse
Efficiency
50.9%
Ignacio Buse
Sharp Consensus
53.4%
Ignacio Buse
Event
US Open
Model pick
Ignacio Buse
Confidence
53.4%
Zachary Svajda
Sharp Consensus
46.6%
Prediction Lab
+115
vs
Arthur Gea
Sharp Consensus
53.4%
Prediction Lab
-115
Model pick
Arthur Gea
Confidence
53.4%
Pick Confidence
Grinder2
56.9%
Arthur Gea
Takedown
55.2%
Arthur Gea
Edge
52.2%
Arthur Gea
XSharp
57.9%
Arthur Gea
Efficiency
50.9%
Arthur Gea
Sharp Consensus
53.4%
Arthur Gea
Event
US Open
Model pick
Arthur Gea
Confidence
53.4%
Maria Sakkari
Sharp Consensus
52.0%
Prediction Lab
-108
vs
Yuliia Starodubtseva
Sharp Consensus
48.0%
Prediction Lab
+108
Model pick
Maria Sakkari
Confidence
52.0%
Pick Confidence
Grinder2
51.5%
Yuliia Starodubtseva
Takedown
50.2%
Maria Sakkari
Edge
53.2%
Maria Sakkari
XSharp
52.5%
Yuliia Starodubtseva
Efficiency
54.5%
Maria Sakkari
Sharp Consensus
52.0%
Maria Sakkari
Event
US Open
Model pick
Maria Sakkari
Confidence
52.0%
Iva Jovic
Sharp Consensus
45.2%
Prediction Lab
+121
vs
Francesca Jones
Sharp Consensus
54.8%
Prediction Lab
-121
Model pick
Francesca Jones
Confidence
54.8%
Pick Confidence
Grinder2
58.3%
Francesca Jones
Takedown
56.6%
Francesca Jones
Edge
53.6%
Francesca Jones
XSharp
59.3%
Francesca Jones
Efficiency
52.3%
Francesca Jones
Sharp Consensus
54.8%
Francesca Jones
Event
US Open
Model pick
Francesca Jones
Confidence
54.8%
Botic Van De Zandschulp
Sharp Consensus
49.5%
Prediction Lab
+102
vs
Alex de Minaur
Sharp Consensus
50.5%
Prediction Lab
-102
Model pick
Alex de Minaur
Confidence
50.5%
Pick Confidence
Grinder2
54.0%
Alex de Minaur
Takedown
52.3%
Alex de Minaur
Edge
50.7%
Botic Van De Zandschulp
XSharp
55.0%
Alex de Minaur
Efficiency
52.0%
Botic Van De Zandschulp
Sharp Consensus
50.5%
Alex de Minaur
Event
US Open
Model pick
Alex de Minaur
Confidence
50.5%
Bu Yunchaokete
Sharp Consensus
47.1%
Prediction Lab
+112
vs
Michael Zheng
Sharp Consensus
52.9%
Prediction Lab
-112
Model pick
Michael Zheng
Confidence
52.9%
Pick Confidence
Grinder2
56.4%
Michael Zheng
Takedown
54.7%
Michael Zheng
Edge
51.7%
Michael Zheng
XSharp
57.4%
Michael Zheng
Efficiency
50.4%
Michael Zheng
Sharp Consensus
52.9%
Michael Zheng
Event
US Open
Model pick
Michael Zheng
Confidence
52.9%
Paula Badosa
Sharp Consensus
40.0%
Prediction Lab
+150
vs
Coco Gauff
Sharp Consensus
60.0%
Prediction Lab
-150
Model pick
Coco Gauff
Confidence
60.0%
Pick Confidence
Grinder2
63.5%
Coco Gauff
Takedown
61.8%
Coco Gauff
Edge
58.8%
Coco Gauff
XSharp
64.5%
Coco Gauff
Efficiency
57.5%
Coco Gauff
Sharp Consensus
60.0%
Coco Gauff
Event
US Open
Model pick
Coco Gauff
Confidence
60.0%
Gael Monfils
Sharp Consensus
48.2%
Prediction Lab
+108
vs
Learner Tien
Sharp Consensus
51.8%
Prediction Lab
-108
Model pick
Learner Tien
Confidence
51.8%
Pick Confidence
Grinder2
55.3%
Learner Tien
Takedown
53.6%
Learner Tien
Edge
50.6%
Learner Tien
XSharp
56.3%
Learner Tien
Efficiency
50.7%
Gael Monfils
Sharp Consensus
51.8%
Learner Tien
Event
US Open
Model pick
Learner Tien
Confidence
51.8%
Alexander Zverev
Sharp Consensus
50.5%
Prediction Lab
-102
vs
Quentin Halys
Sharp Consensus
49.5%
Prediction Lab
+102
Model pick
Alexander Zverev
Confidence
50.5%
Pick Confidence
Grinder2
53.0%
Quentin Halys
Takedown
51.3%
Quentin Halys
Edge
51.7%
Alexander Zverev
XSharp
54.0%
Quentin Halys
Efficiency
53.0%
Alexander Zverev
Sharp Consensus
50.5%
Alexander Zverev
Event
US Open
Model pick
Alexander Zverev
Confidence
50.5%
Jessica Bouzas Maneiro
Sharp Consensus
44.8%
Prediction Lab
+123
vs
Elena Rybakina
Sharp Consensus
55.2%
Prediction Lab
-123
Model pick
Elena Rybakina
Confidence
55.2%
Pick Confidence
Grinder2
58.7%
Elena Rybakina
Takedown
57.0%
Elena Rybakina
Edge
54.0%
Elena Rybakina
XSharp
59.7%
Elena Rybakina
Efficiency
52.7%
Elena Rybakina
Sharp Consensus
55.2%
Elena Rybakina
Event
US Open
Model pick
Elena Rybakina
Confidence
55.2%
📅 2026-09-04
Jasmine Paolini
Sharp Consensus
50.0%
Prediction Lab
-100
vs
Sorana Cirstea
Sharp Consensus
50.0%
Prediction Lab
-100
Model pick
Sorana Cirstea
Confidence
50.0%
Pick Confidence
Grinder2
53.5%
Sorana Cirstea
Takedown
51.8%
Sorana Cirstea
Edge
51.2%
Jasmine Paolini
XSharp
54.5%
Sorana Cirstea
Efficiency
52.5%
Jasmine Paolini
Sharp Consensus
50.0%
Sorana Cirstea
Event
US Open
Model pick
Sorana Cirstea
Confidence
50.0%
Aryna Sabalenka
Sharp Consensus
51.9%
Prediction Lab
-108
vs
Kamilla Rakhimova
Sharp Consensus
48.1%
Prediction Lab
+108
Model pick
Aryna Sabalenka
Confidence
51.9%
Pick Confidence
Grinder2
51.6%
Kamilla Rakhimova
Takedown
50.1%
Aryna Sabalenka
Edge
53.1%
Aryna Sabalenka
XSharp
52.6%
Kamilla Rakhimova
Efficiency
54.4%
Aryna Sabalenka
Sharp Consensus
51.9%
Aryna Sabalenka
Event
US Open
Model pick
Aryna Sabalenka
Confidence
51.9%
Marta Kostyuk
Sharp Consensus
53.4%
Prediction Lab
-115
vs
Ekaterina Alexandrova
Sharp Consensus
46.6%
Prediction Lab
+115
Model pick
Marta Kostyuk
Confidence
53.4%
Pick Confidence
Grinder2
50.1%
Ekaterina Alexandrova
Takedown
51.6%
Marta Kostyuk
Edge
54.6%
Marta Kostyuk
XSharp
51.1%
Ekaterina Alexandrova
Efficiency
56.0%
Marta Kostyuk
Sharp Consensus
53.4%
Marta Kostyuk
Event
US Open
Model pick
Marta Kostyuk
Confidence
53.4%
Jessica Pegula
Sharp Consensus
57.8%
Prediction Lab
-137
vs
Leylah Fernandez
Sharp Consensus
42.2%
Prediction Lab
+137
Model pick
Jessica Pegula
Confidence
57.8%
Pick Confidence
Grinder2
54.3%
Jessica Pegula
Takedown
56.0%
Jessica Pegula
Edge
59.0%
Jessica Pegula
XSharp
53.3%
Jessica Pegula
Efficiency
60.3%
Jessica Pegula
Sharp Consensus
57.8%
Jessica Pegula
Event
US Open
Model pick
Jessica Pegula
Confidence
57.8%
Taylor Townsend
Sharp Consensus
48.3%
Prediction Lab
+107
vs
Diana Shnaider
Sharp Consensus
51.7%
Prediction Lab
-107
Model pick
Diana Shnaider
Confidence
51.7%
Pick Confidence
Grinder2
55.2%
Diana Shnaider
Takedown
53.5%
Diana Shnaider
Edge
50.5%
Diana Shnaider
XSharp
56.2%
Diana Shnaider
Efficiency
50.8%
Taylor Townsend
Sharp Consensus
51.7%
Diana Shnaider
Event
US Open
Model pick
Diana Shnaider
Confidence
51.7%
Daniil Medvedev
Sharp Consensus
50.3%
Prediction Lab
-101
vs
Arthur Rinderknech
Sharp Consensus
49.7%
Prediction Lab
+101
Model pick
Daniil Medvedev
Confidence
50.3%
Pick Confidence
Grinder2
53.2%
Arthur Rinderknech
Takedown
51.5%
Arthur Rinderknech
Edge
51.5%
Daniil Medvedev
XSharp
54.2%
Arthur Rinderknech
Efficiency
52.8%
Daniil Medvedev
Sharp Consensus
50.3%
Daniil Medvedev
Event
US Open
Model pick
Daniil Medvedev
Confidence
50.3%
Alexander Bublik
Sharp Consensus
46.5%
Prediction Lab
+115
vs
Tommy Paul
Sharp Consensus
53.5%
Prediction Lab
-115
Model pick
Tommy Paul
Confidence
53.5%
Pick Confidence
Grinder2
57.0%
Tommy Paul
Takedown
55.3%
Tommy Paul
Edge
52.3%
Tommy Paul
XSharp
58.0%
Tommy Paul
Efficiency
51.0%
Tommy Paul
Sharp Consensus
53.5%
Tommy Paul
Event
US Open
Model pick
Tommy Paul
Confidence
53.5%
Wu Yibing
Sharp Consensus
48.5%
Prediction Lab
+106
vs
Carlos Alcaraz
Sharp Consensus
51.5%
Prediction Lab
-106
Model pick
Carlos Alcaraz
Confidence
51.5%
Pick Confidence
Grinder2
55.0%
Carlos Alcaraz
Takedown
53.3%
Carlos Alcaraz
Edge
50.3%
Carlos Alcaraz
XSharp
56.0%
Carlos Alcaraz
Efficiency
51.0%
Wu Yibing
Sharp Consensus
51.5%
Carlos Alcaraz
Event
US Open
Model pick
Carlos Alcaraz
Confidence
51.5%
Ann Li
Sharp Consensus
48.3%
Prediction Lab
+107
vs
Linda Noskova
Sharp Consensus
51.7%
Prediction Lab
-107
Model pick
Linda Noskova
Confidence
51.7%
Pick Confidence
Grinder2
55.2%
Linda Noskova
Takedown
53.5%
Linda Noskova
Edge
50.5%
Linda Noskova
XSharp
56.2%
Linda Noskova
Efficiency
50.8%
Ann Li
Sharp Consensus
51.7%
Linda Noskova
Event
US Open
Model pick
Linda Noskova
Confidence
51.7%
Emma Navarro
Sharp Consensus
50.0%
Prediction Lab
-100
vs
Karolina Muchova
Sharp Consensus
50.0%
Prediction Lab
+100
Model pick
Emma Navarro
Confidence
50.0%
Pick Confidence
Grinder2
53.5%
Karolina Muchova
Takedown
51.8%
Karolina Muchova
Edge
51.2%
Emma Navarro
XSharp
54.5%
Karolina Muchova
Efficiency
52.5%
Emma Navarro
Sharp Consensus
50.0%
Emma Navarro
Event
US Open
Model pick
Emma Navarro
Confidence
50.0%
Tomas Martin Etcheverry
Sharp Consensus
50.0%
Prediction Lab
-100
vs
Mariano Navone
Sharp Consensus
50.0%
Prediction Lab
-100
Model pick
Mariano Navone
Confidence
50.0%
Pick Confidence
Grinder2
53.5%
Mariano Navone
Takedown
51.8%
Mariano Navone
Edge
51.2%
Tomas Martin Etcheverry
XSharp
54.5%
Mariano Navone
Efficiency
52.5%
Tomas Martin Etcheverry
Sharp Consensus
50.0%
Mariano Navone
Event
US Open
Model pick
Mariano Navone
Confidence
50.0%
Alex Michelsen
Sharp Consensus
48.7%
Prediction Lab
+105
vs
Daniel Merida
Sharp Consensus
51.3%
Prediction Lab
-105
Model pick
Daniel Merida
Confidence
51.3%
Pick Confidence
Grinder2
54.8%
Daniel Merida
Takedown
53.1%
Daniel Merida
Edge
50.1%
Daniel Merida
XSharp
55.8%
Daniel Merida
Efficiency
51.2%
Alex Michelsen
Sharp Consensus
51.3%
Daniel Merida
Event
US Open
Model pick
Daniel Merida
Confidence
51.3%
Jiri Lehecka
Sharp Consensus
49.6%
Prediction Lab
+101
vs
Stefanos Tsitsipas
Sharp Consensus
50.4%
Prediction Lab
-101
Model pick
Stefanos Tsitsipas
Confidence
50.4%
Pick Confidence
Grinder2
53.9%
Stefanos Tsitsipas
Takedown
52.2%
Stefanos Tsitsipas
Edge
50.8%
Jiri Lehecka
XSharp
54.9%
Stefanos Tsitsipas
Efficiency
52.1%
Jiri Lehecka
Sharp Consensus
50.4%
Stefanos Tsitsipas
Event
US Open
Model pick
Stefanos Tsitsipas
Confidence
50.4%
Valentin Vacherot
Sharp Consensus
41.8%
Prediction Lab
+139
vs
Frances Tiafoe
Sharp Consensus
58.2%
Prediction Lab
-139
Model pick
Frances Tiafoe
Confidence
58.2%
Pick Confidence
Grinder2
61.7%
Frances Tiafoe
Takedown
60.0%
Frances Tiafoe
Edge
57.0%
Frances Tiafoe
XSharp
62.7%
Frances Tiafoe
Efficiency
55.7%
Frances Tiafoe
Sharp Consensus
58.2%
Frances Tiafoe
Event
US Open
Model pick
Frances Tiafoe
Confidence
58.2%
Ben Shelton
Sharp Consensus
48.6%
Prediction Lab
+106
vs
Denis Shapovalov
Sharp Consensus
51.4%
Prediction Lab
-106
Model pick
Denis Shapovalov
Confidence
51.4%
Pick Confidence
Grinder2
54.9%
Denis Shapovalov
Takedown
53.2%
Denis Shapovalov
Edge
50.2%
Denis Shapovalov
XSharp
55.9%
Denis Shapovalov
Efficiency
51.1%
Ben Shelton
Sharp Consensus
51.4%
Denis Shapovalov
Event
US Open
Model pick
Denis Shapovalov
Confidence
51.4%
Elina Svitolina
Sharp Consensus
49.7%
Prediction Lab
+101
vs
Anna Kalinskaya
Sharp Consensus
50.3%
Prediction Lab
-101
Model pick
Anna Kalinskaya
Confidence
50.3%
Pick Confidence
Grinder2
53.8%
Anna Kalinskaya
Takedown
52.1%
Anna Kalinskaya
Edge
50.9%
Elina Svitolina
XSharp
54.8%
Anna Kalinskaya
Efficiency
52.2%
Elina Svitolina
Sharp Consensus
50.3%
Anna Kalinskaya
Event
US Open
Model pick
Anna Kalinskaya
Confidence
50.3%
📅 2026-09-05
Anastasia Potapova
Sharp Consensus
45.3%
Prediction Lab
+121
vs
Amanda Anisimova
Sharp Consensus
54.7%
Prediction Lab
-121
Model pick
Amanda Anisimova
Confidence
54.7%
Pick Confidence
Grinder2
58.2%
Amanda Anisimova
Takedown
56.5%
Amanda Anisimova
Edge
53.5%
Amanda Anisimova
XSharp
59.2%
Amanda Anisimova
Efficiency
52.2%
Amanda Anisimova
Sharp Consensus
54.7%
Amanda Anisimova
Event
US Open
Model pick
Amanda Anisimova
Confidence
54.7%
Naomi Osaka
Sharp Consensus
51.5%
Prediction Lab
-106
vs
Elise Mertens
Sharp Consensus
48.5%
Prediction Lab
+106
Model pick
Naomi Osaka
Confidence
51.5%
Pick Confidence
Grinder2
52.0%
Elise Mertens
Takedown
50.3%
Elise Mertens
Edge
52.7%
Naomi Osaka
XSharp
53.0%
Elise Mertens
Efficiency
54.0%
Naomi Osaka
Sharp Consensus
51.5%
Naomi Osaka
Event
US Open
Model pick
Naomi Osaka
Confidence
51.5%
Iga Swiatek
Sharp Consensus
51.7%
Prediction Lab
-107
vs
Marie Bouzkova
Sharp Consensus
48.3%
Prediction Lab
+107
Model pick
Iga Swiatek
Confidence
51.7%
Pick Confidence
Grinder2
51.8%
Marie Bouzkova
Takedown
50.1%
Marie Bouzkova
Edge
52.9%
Iga Swiatek
XSharp
52.8%
Marie Bouzkova
Efficiency
54.2%
Iga Swiatek
Sharp Consensus
51.7%
Iga Swiatek
Event
US Open
Model pick
Iga Swiatek
Confidence
51.7%
