Tennis Predictions
Model win probabilities for ATP & WTA matches, with a confidence rating per pick and a public accuracy record over every settled match.
63Upcoming
71.9%Accuracy
4701Settled
Roland Garros
clay
✓ Correct
High · 68%
vs
1–2
Strasbourg
clay
✗ Missed
High · 66%
vs
2–0
Roland Garros
clay
✓ Correct
High · 78%
vs
0–2
Roland Garros
clay
✓ Correct
High · 77%
vs
2–0
Roland Garros
clay
✗ Missed
High · 69%
vs
2–1
Roland Garros
clay
✗ Missed
High · 72%
vs
2–0
Roland Garros
clay
✗ Missed
High · 66%
vs
2–1
Roland Garros
clay
✓ Correct
High · 68%
vs
1–2
Geneva
clay
✓ Correct
High · 72%
vs
1–2
Roland Garros
clay
✓ Correct
High · 84%
vs
2–0
Roland Garros
clay
✓ Correct
High · 67%
vs
2–0
Hamburg
clay
✓ Correct
High · 69%
vs
1–2
Roland Garros
clay
✗ Missed
High · 75%
vs
0–2
Roland Garros
clay
✓ Correct
High · 66%
vs
2–1
Rabat
clay
✓ Correct
High · 75%
vs
0–0
Roland Garros
clay
✓ Correct
High · 75%
vs
0–2
Roland Garros
clay
✓ Correct
High · 70%
vs
2–1
Hamburg
clay
✓ Correct
High · 79%
vs
2–1
Roland Garros
clay
✓ Correct
High · 74%
vs
1–2
Geneva
clay
✗ Missed
High · 69%
vs
1–2
Roland Garros
clay
✓ Correct
High · 67%
vs
0–2
Roland Garros
clay
✓ Correct
High · 71%
vs
2–0
Rabat
clay
✓ Correct
High · 66%
vs
0–2
Roland Garros
clay
✓ Correct
High · 70%
vs
1–2
Roland Garros
clay
✗ Missed
High · 84%
vs
0–2
Roland Garros
clay
✗ Missed
High · 68%
vs
0–2
Geneva
clay
✗ Missed
High · 66%
vs
0–2
Roland Garros
clay
✓ Correct
High · 68%
vs
1–2
Roland Garros
clay
✓ Correct
High · 86%
vs
2–0
Roland Garros
clay
✓ Correct
High · 79%
vs
1–2
⚡ 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.