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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
Upcoming Today Settled Any confidence High Medium
Curitiba, Brazil clay Sun 27 Sep · 15:20 UTC Medium · 63%
R. Tosetto
vs
J. Pereira
37%
63%
Curitiba, Brazil clay Sun 27 Sep · 15:20 UTC Medium · 62%
R. Dickerson
vs
H. P. Vialle
62%
38%
Buenos Aires, Argentina clay Sun 27 Sep · 16:00 UTC Medium · 62%
A. Barrena
vs
F. Mena
62%
38%
Colombus, USA Men Singles hard Sun 27 Sep · 16:20 UTC Medium · 64%
M. Forbes
vs
A. Rybakov
36%
64%
Colombus, USA Men Singles hard Sun 27 Sep · 16:20 UTC Medium · 60%
D. Chan
vs
D. Petak
60%
40%
Colombus, USA Men Singles hard Sun 27 Sep · 17:30 UTC Medium · 64%
N. Oliveira
vs
L. Tu
36%
64%
Colombus, USA Men Singles hard Sun 27 Sep · 19:50 UTC Medium · 62%
N. Zamora
vs
K. Bigun
38%
62%
San Diego 2, USA, hard Sun 27 Sep · 20:00 UTC Medium · 61%
N. Basavareddy
vs
I. Marcondes
61%
39%
⚡ 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.