Tennis Predictions
Model win probabilities for ATP & WTA matches, with a confidence rating per pick and a public accuracy record over every settled match.
154Upcoming
65.0%Accuracy
16416Settled
Lima, Peru
clay
✓ Correct
Low · 51%
vs
0–2
Matsuyama, Japan
hard
✗ Missed
Low · 54%
vs
1–0
Matsuyama, Japan
hard
✗ Missed
Low · 50%
vs
0–2
Brisbane 3, Australia
hard
✓ Correct
Medium · 62%
vs
0–2
Brisbane 3, Australia
hard
✗ Missed
High · 81%
vs
0–2
Hersonissos 3, Greece
hard
✗ Missed
Medium · 59%
vs
2–0
Hersonissos 3, Greece
hard
✗ Missed
Medium · 55%
vs
1–2
Monastir, Tunisia
hard
✓ Correct
Medium · 60%
vs
0–2
Stockholm
hard
✓ Correct
High · 68%
vs
2–1
Monastir, Tunisia
hard
✓ Correct
Medium · 58%
vs
0–2
Orleans, France
hard
Live
Low · 52%
vs
Orleans, France
hard
Sat 14 Nov · 15:25 UTC
High · 67%
vs
Knoxville, USA
hard
Sat 14 Nov · 16:30 UTC
Medium · 65%
vs
Sopo, Colombia
clay
Sat 14 Nov · 17:00 UTC
High · 66%
vs
Knoxville, USA
hard
Sat 14 Nov · 17:40 UTC
High · 67%
vs
Lima, Peru
clay
Sat 14 Nov · 19:00 UTC
Medium · 58%
vs
WTA Finals
hard
Sat 14 Nov · 20:00 UTC
Medium · 65%
vs
Lima, Peru
clay
Sat 14 Nov · 20:10 UTC
Low · 55%
vs
WTA Finals
hard
Sat 14 Nov · 21:10 UTC
Low · 54%
vs
Sydney, Australia
hard
Sat 14 Nov · 23:00 UTC
Medium · 59%
vs
Sydney, Australia
hard
Sat 14 Nov · 23:00 UTC
High · 67%
vs
Sydney, Australia
hard
Sat 14 Nov · 23:00 UTC
High · 92%
vs
⚡ 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.