Tennis Predictions
Model win probabilities for ATP & WTA matches, with a confidence rating per pick and a public accuracy record over every settled match.
73Upcoming
71.9%Accuracy
4707Settled
Rosario, Argentina
clay
✓ Correct
High · 74%
vs
2–0
Rosario, Argentina
clay
✓ Correct
High · 82%
vs
2–0
Rosario, Argentina
clay
✗ Missed
High · 69%
vs
0–2
Rosario, Argentina
clay
✓ Correct
High · 88%
vs
1–2
Cluj Napoca
hard
✓ Correct
High · 77%
vs
1–2
Montpellier
hard
✓ Correct
High · 67%
vs
2–0
Abu Dhabi
hard
✓ Correct
High · 77%
vs
2–0
Ostrava
hard
✓ Correct
High · 70%
vs
0–2
Cluj Napoca
hard
✓ Correct
High · 70%
vs
0–2
Montpellier
hard
✓ Correct
High · 78%
vs
2–0
Ostrava
hard
✓ Correct
High · 65%
vs
0–2
Abu Dhabi
hard
✗ Missed
High · 72%
vs
2–1
Cluj Napoca
hard
✓ Correct
High · 73%
vs
2–0
Mumbai, India
hard
✓ Correct
High · 80%
vs
0–2
Mumbai, India
hard
✓ Correct
High · 83%
vs
2–0
Mumbai, India
hard
✓ Correct
High · 77%
vs
0–2
Cluj Napoca
hard
✓ Correct
High · 76%
vs
2–1
Mumbai, India
hard
✓ Correct
High · 80%
vs
0–2
Rosario, Argentina
clay
✓ Correct
High · 71%
vs
2–0
Rosario, Argentina
clay
✗ Missed
High · 67%
vs
2–0
Rosario, Argentina
clay
✗ Missed
High · 76%
vs
0–2
Rosario, Argentina
clay
✓ Correct
High · 76%
vs
2–1
Montpellier
hard
✗ Missed
High · 71%
vs
2–1
Rosario, Argentina
clay
✓ Correct
High · 82%
vs
2–1
Montpellier
hard
✗ Missed
High · 66%
vs
1–0
Rosario, Argentina
clay
✗ Missed
High · 75%
vs
2–0
Cluj Napoca
hard
✓ Correct
High · 73%
vs
0–2
Abu Dhabi
hard
✓ Correct
High · 81%
vs
2–0
Cluj Napoca
hard
✓ Correct
High · 68%
vs
2–0
Ostrava
hard
✓ Correct
High · 73%
vs
0–2
⚡ 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
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.