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Tennis Predictions

Model win probabilities for ATP & WTA matches, with a confidence rating per pick and a public accuracy record over every settled match.

78Upcoming
59.4%Accuracy
5095Settled
Jingshan, China hard Mon 28 Sep · 02:00 UTC Medium · 62%
H. Kaji
vs
E. Jones
38%
62%
Bari, Italy clay Mon 28 Sep · 08:00 UTC Medium · 58%
G. Blancaneaux
vs
D. Kuzmanov
42%
58%
Mouilleron-Le-Captif, France hard Mon 28 Sep · 08:00 UTC Medium · 63%
D. Glinka
vs
H. Bernet
63%
37%
Mouilleron-Le-Captif, France hard Mon 28 Sep · 08:00 UTC Medium · 59%
D. Added
vs
G. Onclin
41%
59%
Mouilleron-Le-Captif, France hard Mon 28 Sep · 08:00 UTC Medium · 55%
C. Chidekh
vs
D. Goffin
55%
45%
Bari, Italy clay Mon 28 Sep · 08:00 UTC Medium · 61%
G. Cadenasso
vs
B. Sanchez Martinez
61%
39%
Bari, Italy clay Mon 28 Sep · 08:00 UTC Medium · 56%
B. Gadamauri
vs
E. Dalla Valle
44%
56%
Bari, Italy clay Mon 28 Sep · 08:00 UTC Medium · 58%
L. Angelini
vs
G. Johns
42%
58%
Porto 2, Portugal hard Mon 28 Sep · 10:00 UTC Medium · 59%
M. Basing
vs
M. Poljičak
59%
41%
Porto 2, Portugal hard Mon 28 Sep · 10:00 UTC Medium · 60%
J. Kym
vs
T. Torres
60%
40%
Porto 2, Portugal hard Mon 28 Sep · 10:00 UTC Medium · 62%
O. Virtanen
vs
T. Pereira
62%
38%
Curitiba, Brazil clay Mon 28 Sep · 13:00 UTC Medium · 61%
M. Tobon
vs
J. Torres
39%
61%
Colombus, USA Men Singles hard Mon 28 Sep · 14:00 UTC Medium · 55%
T. Svajda
vs
A. Andrade
45%
55%
Colombus, USA Men Singles hard Mon 28 Sep · 14:00 UTC Medium · 59%
S. Kozlov
vs
A. Kim
59%
41%
Colombus, USA Men Singles hard Mon 28 Sep · 14:00 UTC Medium · 56%
D. Milavsky
vs
B. Bicknell
56%
44%
Colombus, USA Men Singles hard Mon 28 Sep · 14:00 UTC Medium · 64%
B. Nakashima
vs
J. Kennedy
64%
36%
Colombus, USA Men Singles hard Mon 28 Sep · 14:00 UTC Medium · 59%
B. Shick
vs
O. Baris
59%
41%
Colombus, USA Men Singles hard Mon 28 Sep · 14:00 UTC Medium · 55%
D. Dietrich
vs
J. J. Wolf
45%
55%
⚡ This page, via API Pro

Everything on this page is available as JSON via the Tennis API (Sports Addon, $5/mo):

GET /tennis/api/v2/predictions/?upcoming=true
Tennis API docs →

How to read this: the bar shows our model's win probability for each player; the confidence pill rates how much signal the model had for this match-up. Accuracy is measured over every settled prediction — not a curated subset. Not betting advice; no outcome is guaranteed.