Tennis Predictions
Model win probabilities for ATP & WTA matches, with a confidence rating per pick and a public accuracy record over every settled match.
72Upcoming
71.9%Accuracy
4691Settled
Segovia, Spain
hard
✗ Missed
High · 71%
vs
2–1
Zug, Switzerland
clay
✓ Correct
High · 83%
vs
2–0
Tampere, Finland
clay
✓ Correct
High · 82%
vs
2–0
Tampere, Finland
clay
✓ Correct
High · 71%
vs
0–2
Tampere, Finland
clay
✓ Correct
High · 70%
vs
0–2
Hamburg
clay
✗ Missed
High · 76%
vs
0–1
Prague
hard
✓ Correct
High · 65%
vs
0–2
Hamburg
clay
✓ Correct
High · 65%
vs
0–0
Hamburg
clay
✓ Correct
High · 79%
vs
2–0
Palermo, Italy
clay
✓ Correct
High · 74%
vs
2–0
Palermo, Italy
clay
✓ Correct
High · 84%
vs
0–2
Cordenons, Italy
clay
✓ Correct
High · 67%
vs
0–2
Prague
hard
✓ Correct
High · 69%
vs
0–2
WTA 125K Rome, Italy Women Singles
clay
✓ Correct
High · 73%
vs
1–2
Iasi
clay
✓ Correct
High · 66%
vs
2–1
Palermo, Italy
clay
✓ Correct
High · 81%
vs
2–1
Kitzbuhel
clay
✓ Correct
High · 70%
vs
2–0
Kitzbuhel
clay
✓ Correct
High · 75%
vs
2–1
Estoril
clay
✓ Correct
High · 79%
vs
2–0
Prague
hard
✓ Correct
High · 74%
vs
2–1
Estoril
clay
✓ Correct
High · 91%
vs
1–2
Prague
hard
✓ Correct
High · 79%
vs
0–2
Iasi
clay
✗ Missed
High · 70%
vs
2–0
ATP Challenger Bunschoten, Netherlands Men Singles
clay
✓ Correct
High · 75%
vs
2–0
WTA 125K Istanbul 2, Turkiye Women Singles
hard
✓ Correct
High · 65%
vs
0–2
Cordenons, Italy
clay
✓ Correct
High · 67%
vs
2–1
Kitzbuhel
clay
✗ Missed
High · 70%
vs
0–2
Estoril
clay
✗ Missed
High · 76%
vs
1–0
Prague
hard
✗ Missed
High · 82%
vs
1–0
Estoril
clay
✓ Correct
High · 79%
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.