Tennis Predictions
Model win probabilities for ATP & WTA matches, with a confidence rating per pick and a public accuracy record over every settled match.
162Upcoming
64.3%Accuracy
9958Settled
Toronto
hard
✗ Missed
High · 68%
vs
0–2
Toronto
hard
✓ Correct
Medium · 60%
vs
1–2
Toronto
hard
✓ Correct
Medium · 57%
vs
0–2
Lexington, USA
hard
✗ Missed
Low · 55%
vs
2–0
Toronto
hard
✓ Correct
High · 80%
vs
1–2
Montreal
hard
✗ Missed
Medium · 57%
vs
2–0
Montreal
hard
✓ Correct
Medium · 56%
vs
1–2
Toronto
hard
✗ Missed
Low · 55%
vs
0–2
Toronto
hard
✓ Correct
Medium · 59%
vs
0–2
Toronto
hard
✓ Correct
High · 70%
vs
2–0
Plovdiv 2, Bulgaria
clay
✗ Missed
Medium · 57%
vs
2–0
Lexington, USA
hard
✓ Correct
Medium · 60%
vs
1–2
Plovdiv 2, Bulgaria
clay
✗ Missed
High · 68%
vs
2–0
Lexington, USA
hard
✓ Correct
Medium · 56%
vs
0–2
Toronto
hard
✗ Missed
Low · 52%
vs
0–2
Toronto
hard
✓ Correct
Low · 52%
vs
2–0
Toronto
hard
✓ Correct
Medium · 62%
vs
1–2
Toronto
hard
✗ Missed
Medium · 56%
vs
2–0
Toronto
hard
✗ Missed
Medium · 58%
vs
2–0
Washington
hard
✓ Correct
Low · 53%
vs
2–0
Montreal
hard
✓ Correct
Medium · 62%
vs
0–2
Montreal
hard
✗ Missed
High · 81%
vs
2–1
Montreal
hard
✗ Missed
Low · 55%
vs
1–2
Istanbul II, Turkey
hard
✓ Correct
Medium · 59%
vs
2–0
Lexington, USA
hard
✗ Missed
Medium · 65%
vs
1–2
Toronto
hard
✓ Correct
High · 72%
vs
2–0
Toronto
hard
✗ Missed
High · 71%
vs
0–2
Toronto
hard
✗ Missed
High · 68%
vs
1–0
Plovdiv 2, Bulgaria
clay
✗ Missed
High · 81%
vs
2–0
Lexington, USA
hard
✓ Correct
Medium · 62%
vs
2–0
⚡ 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
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.