How accurate are our tennis predictions?
64%correct on 2513 verified pre-match predictions
On high-confidence picks (≥65%): 71% correct on 1388.
Accuracy over time
Accuracy by month (small number = verified predictions)
| Tour | Predictions | Correct | % |
|---|---|---|---|
| Challenger | 1079 | 696 | 65% |
| ATP | 549 | 327 | 60% |
| WTA | 524 | 346 | 66% |
| ITF | 278 | 179 | 64% |
| Cup | 83 | 48 | 58% |
How we measure it
Every day, before each ATP and WTA match starts, the Tennis Trade Model computes each player's win probability. Once the result is in, we compare the prediction with what actually happened. No hindsight edits: the numbers above are simply how often the Tennis Trade Model's favourite really won.
Recent correct predictions
- J. Faria (70%) — ATP 2026-07-21
- O. Oliynykova (62%) — WTA 2026-07-21
- B. Krejcikova (64%) — WTA 2026-07-21
- D. Altmaier (67%) — ATP 2026-07-21
- E. Avanesyan (70%) — WTA 2026-07-21
- R. A. Burruchaga (64%) — ATP 2026-07-21
- H. Gaston (66%) — ATP 2026-07-21
- A. Molcan (82%) — ATP 2026-07-21
- L. Tararudee (73%) — WTA 2026-07-21
- A. Charaeva (77%) — WTA 2026-07-21
- M. L. Carle (62%) — WTA 2026-07-21
- Q. Halys (70%) — ATP 2026-07-21
- S. Baez (82%) — ATP 2026-07-21
- T. Valentova (63%) — WTA 2026-07-21
- L. Tagger (70%) — WTA 2026-07-21
Page updated automatically from real results.