How does it work?
We combine modern AI models, mathematical calculations and up-to-date sports data to estimate the probabilities of football match outcomes.
Analysis system
On match day β and for selected matches also shortly before kick-off β the system deeply analyses the following factors:
Team form
We analyse recent matches, home and away records and team dynamics.
Injuries and absences
We track missing key players, bookings and suspensions that affect squad strength.
History and cards
We examine head-to-head records (H2H) and disciplinary statistics.
Core statistics
Goals, possession, xG (expected goals) and other key performance indicators.
Weather conditions
We account for rain, wind and temperature that can influence play style and goal count.
Psychological factors
We analyse motivation (Must-Win), historical rivalry (Revenge factor) and travel fatigue.
Live Updates
Our analyses are not static. The system automatically monitors matches even after the initial tip is published.
- 160 minutes before kick-off: Once official lineups are announced, the AI re-evaluates its prediction.
- 2Lineup check: If a key player is missing (e.g. top scorer), the system lowers confidence or changes the tip entirely.
- 3Instant notification: If you have the match unlocked, you will see the updated analysis directly on the page (just refresh).
Transparency
The outcome is not "certainties" but transparent probabilities and value recommendations (Value Tips) compared with market odds.
System decision making
Our AI is set conservatively. If available data does not make clear sense or is contradictory, the system will recommend not to bet.
We keep improving
With every played match our AI gets smarter. It analyses not only new data but learns from its own previous successes and mistakes. As a result, our predictions become more accurate and reliable over time.
Glossary
Quick explanation of abbreviations and terms used in our analyses.
1 / X / 2
- 1: Home team win.
- X: Draw.
- 2: Away team win.
BTTS (Both Teams To Score)
Both teams score.
- Yes: Match ends e.g. 1:1, 2:1, 1:3 (both teams score).
- No: Match ends e.g. 1:0, 0:0, 0:3 (at least one team fails to score).
Over / Under 2.5
Bet on total goals in the match. The 2.5 threshold is the most common.
- Over 2.5: At least 3 goals scored (3 or more). E.g. 2:1, 3:0, 2:2.
- Under 2.5: At most 2 goals scored (0, 1 or 2). E.g. 1:0, 1:1, 2:0.
xG (Expected Goals)
Expected Goals. A metric that measures the quality of chances. Each shot is assigned a value from 0 to 1 based on the probability of scoring (based on shooter's position, type of assist, etc.).
Example: If a team has xG 2.45 but scored only 1 goal, it means they had many chances but failed in the finish (or the opposing goalkeeper played brilliantly).
