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How It Works

How Our AI Predictions Work

A transparent look inside our prediction engine: from raw data to high-confidence picks, powered by six statistical models working in harmony.

01
Krok 1

Zbieranie danych

Our system aggregates data from multiple professional football data providers, ensuring comprehensive coverage and cross-validated accuracy. Data is refreshed multiple times per day.

Statystyki meczu

Goals, shots, possession, corners, cards across 30+ leagues

Dane zawodników

Ratings, injuries, suspensions, and squad availability

Historical Records

Head-to-head, home/away form, and seasonal trends

Odds Movements

Real-time odds from leading bookmakers for value detection

02
Krok 2

Modele statystyczne

Six specialized models analyze the data from different angles. Each model brings unique strengths to the prediction process.

35%

Poisson Distribution

Goal probability modeling

Uses team attack and defense ratings to calculate the probability distribution of goals scored by each team. Generates probabilities for exact scores, over/under, and both teams to score markets.

25%

Rating ELO

Team strength comparison

Adapted from chess, our ELO system rates every team based on their match results. Ratings are updated after each game, accounting for opponent strength and home advantage. Higher-rated teams are predicted to win against lower-rated opponents.

20%

Form Analysis

Recent performance trends

Analyzes recent match results to capture momentum and current form. Considers the last 5-10 matches with recency weighting, evaluating goals scored/conceded, clean sheets, and winning/losing streaks.

20%

Value Bet Detection

Odds vs probability mismatch

Compares our calculated probabilities against bookmaker odds to identify value opportunities. When our model assigns a higher probability than the odds suggest, it signals a potential value bet.

Adj.

Wpływ kontuzji

Squad availability adjustments

Evaluates the impact of injured and suspended players on team strength. Key player absences can significantly alter predictions, especially when star goalkeepers, central defenders, or top scorers are unavailable.

Adj.

Context Service

Derby, referee & motivation factors

Post-ensemble adjustments for factors that pure statistics miss: derby match detection across 19 city groups, referee tendencies for cards and goals, title race and relegation motivation, and league-specific draw calibration.

03
Krok 3

Ensemble Prediction

Individual model outputs are combined using a weighted voting system. This ensemble approach consistently outperforms any single model because different models excel in different scenarios.

Weighted Model Combination

Poisson Distribution 35%
Rating ELO 25%
Form Analysis 20%
Value Bet Detection 20%

Injury Impact and Context Service apply post-ensemble adjustments to fine-tune the final prediction based on squad availability and match context.

04
Krok 4

Confidence & Banko Selection

The final prediction includes a confidence score. Our highest-confidence picks are labeled as "Banko" and must pass three strict criteria.

≥75%

Confidence Score

The ensemble model must output at least 75% confidence in the prediction.

≥67%

Model Agreement

At least two-thirds of prediction models must agree on the outcome.

1.25–1.85

Odds Range

Odds must fall within a safe range — not too short, not too risky.

Live Accuracy Tracking

Every prediction is settled and tracked. Our accuracy metrics are continuously updated based on real match outcomes.

1X2

Wynik meczu

Win/draw/loss predictions tracked per model

O/U

Over/Under

Goal total predictions with Brier score analysis

BTTS

Obie Drużyny Strzelą

BTTS yes/no accuracy with rolling 30-day average

BS

Brier Score

Probability calibration metric — lower is better

Ready to See Today's Predictions?

Our AI engine generates fresh predictions daily. Explore match forecasts, confidence scores, and Banko picks now.

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