How is Expected Goals (xG) calculated for an individual shot?

Expected Goals (xG) measures the statistical probability that a given shot will result in a goal, based on historical data from hundreds of thousands of similar attempts. Factors include shot distance, angle to goal, assist type (through ball, cross, cutback), body part (foot vs header), and defensive pressure.

What is the standard xG value of a penalty kick?

In top-tier professional football (Premier League, Champions League), a penalty kick carries a benchmark xG value of approximately 0.79 (79% conversion probability).

How does Poisson distribution translate cumulative xG into win probabilities?

By treating cumulative team xG as the mean rate parameter (lambda) in a Poisson distribution formula, analysts can calculate the discrete probability of each possible scoreline (0-0, 1-0, 2-1, etc.) and sum them to obtain accurate win, draw, and defeat likelihoods.

Advanced Football Analytics & Poisson Modeling

Match xG Momentum & Win Probabilities

Simulate match shot profiles, log quality attempts across Home and Away teams, and compute Poisson distribution win expectancies in real-time.

Interactive Shot Logger & Momentum Builder

Home Team

1.45

4 Shots Logged

Away Team

0.82

3 Shots Logged

Target Team

Shot Opportunity Type

Match Shot Log (Chronological)

[Home] 1v1 Big Chance with Goalkeeper +0.38 xG

[Away] Penalty Kick +0.79 xG

[Home] Penalty Kick +0.79 xG

[Home] Central Box Volley +0.18 xG

[Away] Speculative Strike +0.03 xG

Poisson Match Expectancy Engine

Statistical Outcome Probabilities

Translates cumulative xG totals into expected win / draw / defeat likelihoods using bivariate Poisson probability distributions.

Home Win Probability: 52.4%

Draw Probability: 26.8%

Away Win Probability: 20.8%

Statistically Most Probable Scoreline: 1 - 0 (Probability: 14.8%)

Formula: Poisson Distribution $P(k;\lambda) = \frac{\lambda^k e^{-\lambda}}{k!}$ where $\lambda = \text{Team xG}$.