1. Data basis
We use live fixture data, form, head-to-head, standings and multi-bookmaker odds. We estimate probabilities and compare them to the market — the core of value betting.
2. Machine Learning (ML)
Classic ML signals (ELO-like strength, form, home advantage) estimate 1X2 as well as markets such as over/under and BTTS. Models are updated as seasons progress.
3. Reinforcement Learning (RL)
RL components evaluate which tips deliver the best long-term expected value under uncertainty and odds movement — not only the single most likely outcome.
4. AI analysis
A large language model (LLM) synthesises all signals: injuries, line-ups, form, H2H and odds. It produces the written match analysis, confidence and extra markets (e.g. scorers, corners, cards) — a readable layer on top of pure ML/RL numbers.
5. Value Bets & Transparenz
A value bet appears when our estimated probability exceeds the probability implied by the odds. Winning tips are published under Results, including monthly archives.
6. Leagues & next steps
Stable league landing pages and archives give Google and users structure — even when individual tips change daily.
⚠️ Esta página no es una invitación a apostar. Todos los pronósticos son orientativos. 18+