Hybrid AI Model
Blends statistical analyzers (60%) with momentum signals (40%) so each match call balances long-run form and short-term swing.
Professional Tennis Analytics
Model-based ATP & WTA win probabilities, published daily — analytics, not tips.
TennisPredictor combines ensemble ML with nine statistical analyzers. It does not promise profits. The primary figure below is the live settled Official pick rate; other rates answer different questions. See the track record for the current settled rate.
The pipeline reads 10,000+ recent matches and refreshes with new rankings and results so each slate reflects current form.
Last 500 is the size of the official settled window, not a win rate. Current settled rate
Official picks land in Telegram when the slate publishes — before match day gets noisy.
The dashboard stays free. Pro pushes each Official pick to a private Telegram channel so you see it on your phone when it drops.
Past settled samples are on the track record. Past performance does not guarantee future results.

Blends statistical analyzers (60%) with momentum signals (40%) so each match call balances long-run form and short-term swing.
Rankings, recent results, and fixtures update before each prediction run so the board reflects the current slate.
Hard, clay, grass, and indoor records are weighted separately — a clay specialist is not scored like a grass server.
Recent form, first-set trends, and quality-weighted streaks show who is rising or fading into the match.
Age, tournament load, and recovery gaps estimate fatigue — useful when a player is deep in a busy week.
Probabilities shrink when data is thin, surfaces mismatch, or ranking gaps are small — so confidence matches evidence.
Ensemble methods combine XGBoost, Random Forest, and Neural Networks with 300+ engineered features to score each matchup.
9 specialized analyzers cover ranking, form, surface, H2H, energy, and more — then combine with dynamic weighting.
Days since last match, tournament progression
Tournament importance, pressure factors
Surface × Ranking, Form × Experience
Win streaks, comeback ability, momentum shifts
Adjusts based on tournament level and surface
Updates weights based on recent performance
Higher weight for more confident predictions
Proper chronological data splitting
For full methodology — validation metrics, feature breakdown, and hybrid ML + stats ensemble design — read our three-part algorithm series.
Prefer a quick overview? Stay on this page — or jump to today's live predictions.
We use verified match data only — rankings, results, and surfaces from real tournaments.
No fabricated stats.
Analytics only. Live settled rates are on the track record. Predictions are estimates, not tips.
Disclaimer. Predictions are probabilistic estimates based on historical patterns. Past performance does not guarantee future results. 18+ only. Not financial advice.
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