Poisson Model for Football Predictions: The Math Behind AI Betting Tips

When MalluSports predicts "Manchester City 2–0 Arsenal", it's not a guess. It's a Poisson distribution model — the same statistical framework used by professional betting syndicates worldwide. Here's exactly how it works.

What is the Poisson Distribution?

The Poisson distribution models the probability of a number of events occurring in a fixed time period, given a known average rate. In football, this means: given that Team A scores an average of 1.8 goals per game, what is the probability they score 0, 1, 2, 3... goals in their next match?

The formula: P(k) = (λᵏ × e⁻λ) / k!

Where λ is the expected goals and k is the number of goals we're calculating the probability for.

How MalluSports Builds the Model

Our Poisson model processes every Premier League, La Liga, Serie A, and other major league match in real time:

1. Attack strength: Team's goals scored per game vs league average
2. Defence weakness: Goals conceded per game vs league average
3. Home advantage: Measured average boost for home teams in each league
4. Dixon-Coles correction: Adjusts for low-score result underestimation (0–0, 1–0, 0–1)

From Probabilities to Betting Picks

Once we have the score matrix (probability of every scoreline up to 8–8), we extract:

• Home win / Draw / Away win probability
• Both Teams to Score (BTTS) probability
• Over/Under 2.5 goals probability
• Double Chance (1X, X2, 12) probabilities

We then compare these probabilities against bookmaker odds (Linebet, MegaPari, 1xBet) to find value bets — picks where our model says the true probability is higher than what the odds imply.

Expected Value: The Only Number That Matters

EV = (Our Probability × Decimal Odds) - 1

If EV is positive, it's a value bet. MalluSports only shows you positive EV picks.