Tennis Predictions
Model win probabilities for ATP & WTA matches, with a confidence rating per pick and a public accuracy record over every settled match.
250Upcoming
65.1%Accuracy
13303Settled
Singapore
hard
✓ Correct
Low · 52%
vs
2–0
Davis Cup
✓ Correct
High · 74%
vs
1–2
Seoul
hard
✗ Missed
High · 77%
vs
1–2
Davis Cup
✓ Correct
High · 79%
vs
2–0
Singapore
hard
✓ Correct
High · 79%
vs
2–0
Singapore
hard
✓ Correct
High · 65%
vs
0–2
Davis Cup
✗ Missed
Medium · 62%
vs
1–2
Phan Thiet 4, Vietnam
hard
✓ Correct
High · 70%
vs
2–1
Davis Cup
✓ Correct
Low · 53%
vs
3–2
Davis Cup
✗ Missed
Medium · 60%
vs
3–1
Davis Cup
✓ Correct
High · 72%
vs
1–2
Seoul
hard
✓ Correct
Medium · 57%
vs
1–2
Seoul
hard
✓ Correct
High · 74%
vs
2–0
Guadalajara
hard
✗ Missed
Medium · 56%
vs
0–2
Davis Cup
✗ Missed
High · 70%
vs
2–1
Davis Cup
✗ Missed
Low · 53%
vs
1–3
Davis Cup
✓ Correct
High · 71%
vs
0–2
Davis Cup
✓ Correct
High · 79%
vs
2–1
Guadalajara
hard
✓ Correct
Medium · 64%
vs
0–2
Tiburon, USA
hard
✓ Correct
Medium · 58%
vs
2–1
WTA Sao Paulo, Brazil Women, Singles
hard
✗ Missed
Medium · 62%
vs
2–1
Tiburon, USA
hard
✓ Correct
Medium · 61%
vs
0–2
Davis Cup
✓ Correct
High · 88%
vs
2–1
Davis Cup
✗ Missed
High · 65%
vs
2–0
WTA Sao Paulo, Brazil Women, Singles
hard
✓ Correct
High · 70%
vs
0–2
Davis Cup
✗ Missed
High · 70%
vs
2–1
Tiburon, USA
hard
✓ Correct
High · 86%
vs
2–0
Rennes, France
hard
✗ Missed
High · 68%
vs
0–2
Tiburon, USA
hard
✓ Correct
High · 68%
vs
2–0
Davis Cup
✓ Correct
High · 92%
vs
2–1
⚡ 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.