Premium Picks
Selections with the best balance of read, price, market and risk. Shown separately to reduce noise.
Project
About Deep Tennis AI
A private men's tennis analysis system that turns player, match and market data into traceable value picks, with a separate Premium layer for the highest-confidence selections.
In a nutshell
A public tracker for a private methodology.
Deep Tennis AI was created to follow the ATP and Challenger circuit with a consistent methodology: detect value, assign stake in a controlled way and review results with data.
The private side holds models, prompts, internal rules and data sources. The public side shows aggregated performance, premium picks, markets, tournaments, weeks from May, the current week and closed results.
The goal is not to sell certainties. It's to build an increasingly cleaner read of tennis: which markets work, where noise appears and how each version of the system evolves.
The bot separates the daily open analysis from the Premium Picks that clear the quality filter. FREE gets one full Premium at the public release time and a summarized open analysis. PREMIUM gets all filtered selections ahead of time, unlimited open analyses, Deep Signals and the combos that meet their rules. Premium Picks are reviewed after the match to explain what confirmed or broke the earlier read.
Current system
What parts make up Deep Tennis AI.
The current version brings together pick generation, stake control, results tracking, daily briefings and a public website that summarizes performance without revealing the internal formula.
Dynamic stake
Exposure changes according to pick quality, estimated margin, volatility and per-market limits.
Post-mortem
Resolved picks receive a follow-up read to understand why they hit or missed.
Briefings
The system prepares morning and closing messages with volume, Premium performance, tournaments and pending matches.
Public dashboard
The website groups performance by week, day, tournament, market and closed results.
Versioning
Prompt, filter and stake changes are reviewed with history, backtesting and parallel testing.
Principles
How we want to measure the project.
Traceability
Results are grouped by day, tournament and market to understand where performance comes from.
Versioning
Relevant changes are kept separate so old rules don't mix with new criteria.
Caution
Performance is communicated with sample size, pending matches and context. No absolute promises.
Transparency
Results before talk
The public dashboard is the reference for following the real evolution.