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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.

142Upcoming
64.3%Accuracy
10008Settled
Upcoming Today Settled Any confidence High Medium
Roland Garros, Girls clay ✓ Correct Low · 52%
A. Cvetković
vs
A. Malova
52%
48%
2–0
ATP Challenger Centurion 2, South Africa Men Singles hard ✓ Correct Low · 52%
M. Nawa
vs
P. Buldorini
48%
52%
0–2
Roland Garros, Boys clay ✗ Missed Low · 52%
A. Gabet
vs
D. Kisimov
52%
48%
0–2
Roland Garros, Girls clay ✓ Correct Low · 53%
H. Smart
vs
L. M. Cinalli
47%
53%
0–2
Roland Garros clay ✓ Correct High · 89%
M. Andreeva
vs
J. Teichmann
89%
11%
2–0
Tyler, USA hard ✗ Missed Medium · 61%
Q. Vandecasteele
vs
E. Arutiunian
39%
61%
2–0
Roland Garros, Girls clay ✓ Correct Low · 52%
M. Makarova
vs
J. Hazelitt
52%
48%
2–0
Roland Garros, Girls clay ✓ Correct High · 67%
A. Lachinova
vs
V. Barros
33%
67%
0–2
Roland Garros, Boys clay ✗ Missed Low · 52%
M. E. Sik
vs
P. Chabalgoity
52%
48%
0–2
Roland Garros, Girls clay ✓ Correct Low · 51%
M. Burcescu
vs
T. Frodin
51%
49%
2–0
ATP Challenger Centurion 2, South Africa Men Singles hard ✓ Correct Medium · 56%
L. Teunissen
vs
T. Longwe-Smit
44%
56%
0–2
Roland Garros, Girls clay ✓ Correct Low · 52%
N. Sanon
vs
T. Hermanova
52%
48%
2–1
ATP Challenger Birmingham, Great Britain Men Singles grass ✓ Correct Medium · 63%
B. O'Connell
vs
F. Romano
37%
63%
0–2
ATP Challenger Birmingham, Great Britain Men Singles grass ✓ Correct High · 65%
P. Brady
vs
Z. Zhang
35%
65%
0–2
Roland Garros, Boys clay ✓ Correct Low · 52%
K. Hance
vs
M. Salbiev
52%
48%
2–1
Roland Garros, Boys clay ✗ Missed Low · 52%
L. Sloboda
vs
N. Baena
52%
48%
1–2
ATP Challenger Birmingham, Great Britain Men Singles grass ✗ Missed High · 66%
B. Jones
vs
K. Smith
34%
66%
2–0
Prostejov, Czech Republic clay ✓ Correct High · 76%
T. Daniel
vs
W. Rejchtman Vinciguerra
76%
24%
2–0
Tyler, USA hard ✗ Missed High · 71%
D. Masur
vs
B. Kuzuhara
71%
29%
0–2
Perugia, Italy clay ✓ Correct High · 71%
J. Ingildsen
vs
E. Dalla Valle
29%
71%
0–2
Tyler, USA hard ✓ Correct High · 66%
P. Marinkov
vs
M. Imamura
34%
66%
0–2
Tyler, USA hard ✓ Correct Medium · 62%
H. Matsuoka
vs
J. Roddick
62%
38%
2–0
Roland Garros, Boys clay ✗ Missed Low · 52%
G. Goode
vs
C. Doig
52%
48%
0–1
ATP Challenger Bad Rappenau, Germany Men Singles clay ✓ Correct Medium · 61%
M. Vrbensky
vs
M. Möller
39%
61%
0–2
Roland Garros, Girls clay ✗ Missed Low · 52%
W. Newman
vs
P. Pinera Celorio
52%
48%
0–2
Perugia, Italy clay ✓ Correct High · 71%
N. Bartolucci
vs
L. Ratti
29%
71%
0–2
Roland Garros clay ✓ Correct High · 87%
J. De Jong
vs
A. Zverev
13%
87%
0–3
ATP Challenger Centurion 2, South Africa Men Singles hard ✗ Missed Low · 53%
T. Duran
vs
S. Vujić
47%
53%
2–0
Roland Garros, Boys clay ✗ Missed Low · 53%
M. Abe
vs
A. Rusher
53%
47%
0–2
Roland Garros, Girls clay ✗ Missed Medium · 63%
Y. Qu
vs
M. R. Revathi
63%
37%
1–2
⚡ 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.