How It Works
AI Football Analytics analyzes a match as a step-by-step process. Each stage adds a new layer of information.
1. Before the match
Before kickoff, the system builds the starting profile of the match.
- team strength;
- league table position;
- team form;
- goals scored and conceded;
- market odds;
- expectations for totals, match outcome and handicaps;
- historical data.
This profile is needed to understand the starting picture before the match begins.
2. After kickoff
When the match starts, the system tracks changes minute by minute. It looks not only at the score, but also at the structure of the game.
- match tempo;
- shots and shots on target;
- corners;
- red cards;
- penalties;
- possession;
- odds movement;
- deviation from prematch expectations.
This helps show whether the game confirms the initial expectations or is developing in a different scenario.
3. Historical comparison
The current situation is compared with similar historical matches.
- match minute;
- current score;
- odds movement;
- team strength;
- game tempo;
- market profile;
- similar match scenarios.
Historical comparison helps estimate whether the situation is typical and how often similar scenarios led to certain outcomes.
4. Market check
After the match analysis, the system checks available markets and applies filters.
- odds;
- edge;
- EV;
- historical ROI;
- sample size;
- risk;
- match-time restrictions;
- market restrictions.
5. AI-agent explanation
The AI-agent converts data and signals into a short explanation. It helps users quickly understand:
- what is happening in the match;
- what has changed compared with expectations;
- why the market received its status;
- which risks the system sees;
- why it may be better to wait or avoid the market.
6. After the match
After full time, results are saved for further analysis. This makes it possible to check system performance, review signal history, evaluate markets and improve analysis rules.