Poisson Calculator

Predict match outcomes using the Poisson distribution. Enter expected goals for each team to see probabilities for every scoreline, match result, over/under, and BTTS markets.

Please enter expected goals (0.1-10)
Please enter expected goals (0.1-10)
Results
Home Win --
Draw --
Away Win --
Over 2.5 Goals --
Under 2.5 Goals --
Both Teams to Score --

How to Use This Calculator

  1. Enter the expected goals for the home team (based on your analysis or xG data)
  2. Enter the expected goals for the away team
  3. View probabilities for home win, draw, away win, over/under 2.5, and BTTS
  4. Check the scoreline probability grid for specific score predictions

Formula

Poisson Probability: P(k) = (λ^k × e^(-λ)) / k!

Where λ = expected goals, k = actual goals scored

Scoreline Probability = P(Home = h) × P(Away = a)

Assumes home and away goals are independent events.

Frequently Asked Questions

What is the Poisson distribution in betting?

The Poisson distribution is a statistical model used to predict the probability of a given number of events (goals) occurring in a fixed period. It’s widely used in football betting to predict match scorelines from expected goals averages.

How do I find expected goals?

Expected goals (xG) can be found from football statistics sites. Alternatively, you can calculate a team’s average goals scored per game from recent matches. More sophisticated models account for home advantage, opponent strength, and recent form.

How accurate is the Poisson model?

The Poisson model provides a reasonable baseline for football predictions. Its main limitation is that it assumes goals are independent events, which isn’t always true (e.g., momentum effects, red cards). It works best for pre-match predictions in leagues with consistent scoring patterns.

What markets can I use Poisson for?

Poisson is most commonly used for 1X2 (match result), correct score, over/under goals, and both teams to score (BTTS) markets. It can also be adapted for Asian handicaps and half-time/full-time predictions.