Tennis Predictions
Model win probabilities for ATP & WTA matches, with a confidence rating per pick and a public accuracy record over every settled match.
179Upcoming
64.3%Accuracy
9927Settled
Toronto
hard
Sun 09 Aug · 16:30 UTC
High · 83%
vs
Lexington, USA
hard
Sun 09 Aug · 17:00 UTC
Medium · 64%
vs
Brownsburg, USA
Sun 09 Aug · 17:30 UTC
High · 88%
vs
Brownsburg, USA
Sun 09 Aug · 17:30 UTC
High · 78%
vs
Brownsburg, USA
Sun 09 Aug · 17:30 UTC
Medium · 56%
vs
Toronto
hard
Sun 09 Aug · 17:40 UTC
High · 84%
vs
Montreal
hard
Sun 09 Aug · 17:40 UTC
Medium · 61%
vs
Montreal
hard
Sun 09 Aug · 22:00 UTC
Low · 51%
vs
Toronto
hard
Sun 09 Aug · 23:00 UTC
High · 68%
vs
Montreal
hard
Sun 09 Aug · 23:10 UTC
High · 71%
vs
Toronto
hard
Mon 10 Aug · 00:10 UTC
High · 67%
vs
Astana, Kazakhstan
hard
Mon 10 Aug · 05:00 UTC
Low · 54%
vs
Astana, Kazakhstan
hard
Mon 10 Aug · 05:00 UTC
Medium · 58%
vs
Astana, Kazakhstan
hard
Mon 10 Aug · 05:00 UTC
Low · 50%
vs
Astana, Kazakhstan
hard
Mon 10 Aug · 05:00 UTC
Medium · 61%
vs
Astana, Kazakhstan
hard
Mon 10 Aug · 05:00 UTC
High · 65%
vs
Astana, Kazakhstan
hard
Mon 10 Aug · 05:00 UTC
High · 93%
vs
Astana, Kazakhstan
hard
Mon 10 Aug · 05:00 UTC
Medium · 60%
vs
Astana, Kazakhstan
hard
Mon 10 Aug · 05:00 UTC
Medium · 59%
vs
Astana, Kazakhstan
hard
Mon 10 Aug · 05:00 UTC
High · 66%
vs
Astana, Kazakhstan
hard
Mon 10 Aug · 05:00 UTC
High · 79%
vs
Astana, Kazakhstan
hard
Mon 10 Aug · 05:00 UTC
High · 69%
vs
Astana, Kazakhstan
hard
Mon 10 Aug · 05:00 UTC
Medium · 57%
vs
Astana, Kazakhstan
hard
Mon 10 Aug · 05:00 UTC
Medium · 64%
vs
Todi, Italy
clay
Mon 10 Aug · 08:00 UTC
Medium · 65%
vs
Todi, Italy
clay
Mon 10 Aug · 08:00 UTC
High · 71%
vs
Todi, Italy
clay
Mon 10 Aug · 08:00 UTC
High · 73%
vs
Todi, Italy
clay
Mon 10 Aug · 08:00 UTC
High · 77%
vs
Todi, Italy
clay
Mon 10 Aug · 08:00 UTC
Medium · 57%
vs
Todi, Italy
clay
Mon 10 Aug · 08:00 UTC
Medium · 57%
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.