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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.

70Upcoming
59.0%Accuracy
3750Settled
Upcoming Today Settled Any confidence High Medium
Hamburg, Germany hard Mon 10 Aug · 08:30 UTC Medium · 55%
R. Molleker
vs
E. Møller
45%
55%
Hamburg, Germany hard Mon 10 Aug · 08:30 UTC Medium · 64%
M. Petković
vs
N. McDonald
64%
36%
Brownsburg, USA Mon 10 Aug · 14:00 UTC Medium · 63%
H. Wendelken
vs
B. Gojo
37%
63%
Brownsburg, USA Mon 10 Aug · 14:00 UTC Medium · 58%
G. Onclin
vs
Y. Zhou
58%
42%
Brownsburg, USA Mon 10 Aug · 14:00 UTC Medium · 56%
D. Jorda Sanchis
vs
J. Pinnington Jones
44%
56%
Brownsburg, USA Mon 10 Aug · 14:00 UTC Medium · 60%
U. Blanchet
vs
R. Sakamoto
40%
60%
Brownsburg, USA Mon 10 Aug · 14:00 UTC Medium · 58%
C. Smith
vs
F. Gill
58%
42%
Brownsburg, USA Mon 10 Aug · 14:00 UTC Medium · 56%
A. Ilagan
vs
A. Martin
56%
44%
Montreal hard Mon 10 Aug · 16:30 UTC Medium · 62%
L. Darderi
vs
B. Nakashima
38%
62%
Montreal hard Mon 10 Aug · 16:30 UTC Medium · 56%
R. Jódar
vs
A. Fils
56%
44%
⚡ 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.