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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

Upcoming Today Settled Any confidence High Medium

Zug, Switzerland clay ✗ Missed High · 73%

Hamburg clay ✓ Correct High · 70%

Estoril clay ✗ Missed High · 76%

Bloomfield Hills, USA hard ✓ Correct High · 84%

Hamburg clay ✓ Correct High · 81%

Kitzbuhel clay ✓ Correct High · 76%

Prague hard ✓ Correct High · 77%

Kitzbuhel clay ✓ Correct High · 82%

Zug, Switzerland clay ✗ Missed High · 70%

Hamburg clay ✓ Correct High · 75%

Estoril clay ✗ Missed High · 72%

Tampere, Finland clay ✓ Correct High · 70%

Kitzbuhel clay ✓ Correct High · 83%

Prague hard ✓ Correct High · 82%

Zug, Switzerland clay ✗ Missed High · 72%

A. Guillen Meza

Kitzbuhel clay ✗ Missed High · 75%

Prague hard ✓ Correct High · 66%

Segovia, Spain hard ✗ Missed High · 67%

Winnipeg, Canada hard ✓ Correct High · 79%

Winnipeg, Canada hard ✓ Correct High · 69%

Winnipeg, Canada hard ✓ Correct High · 77%

Winnipeg, Canada hard ✗ Missed High · 65%

Palermo, Italy clay ✓ Correct High · 77%

Winnipeg, Canada hard ✓ Correct High · 67%

Bloomfield Hills, USA hard ✓ Correct High · 70%

Palermo, Italy clay ✓ Correct High · 81%

Winnipeg, Canada hard ✓ Correct High · 66%

Bloomfield Hills, USA hard ✓ Correct High · 75%

Bloomfield Hills, USA hard ✓ Correct High · 72%

Winnipeg, Canada hard ✓ Correct High · 76%

⚡ 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

Tennis API docs →

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.