Top Betting Formulas Every Soccer Bettor Should Know

Certainly! There are several formulas and strategies that bettors use to analyze and predict soccer match outcomes. Here are some commonly used formulas...

Sep 06, 2024 3 min read

1. Poisson Distribution

The Poisson distribution is often used to model the number of goals scored in a soccer match. The formula is:

\lambda) = \frac{\lambda^x \cdot e^{-\lambda}}{x!}

Where:

$\lambda)$ is the probability of $x$ goals being scored.
$λ\lambda$ is the average number of goals scored (expected goals).
$x$ is the number of goals.

You can use this formula to estimate the likelihood of various outcomes based on historical data.

2. Expected Goals (xG)

Expected Goals (xG) is a metric that estimates the quality of scoring chances and the likelihood of a goal being scored. The formula is:

\sum_{i=1}^{n} \text{Chance Probability}_i

Where:

$Probabilityi\text{Chance Probability}_i$ is the probability of scoring from each chance $i$ .
$n$ is the number of scoring chances.

You calculate the xG for each team to estimate their potential to score in a match.

3. Kelly Criterion

The Kelly Criterion is a formula used for bankroll management to determine the optimal bet size:

f∗=p⋅(b+1)−1bf^* = \frac{p \cdot (b + 1) - 1}{b}

Where:

$f^*$ is the fraction of your bankroll to bet.
$p$ is the probability of winning.
$b$ is the odds received (decimal odds - 1).

The Kelly Criterion helps in maximizing your bankroll growth while minimizing the risk of bankruptcy.

4. Value Bet Formula

To find value bets, you compare the probability of an outcome with the odds offered:

Value=(Probability×Odds)−1\text{Value} = (\text{Probability} \times \text{Odds}) - 1

Where:

Probability is your estimated chance of the outcome occurring.
Odds are the decimal odds offered by the bookmaker.

A positive value indicates a potentially profitable bet.

5. Betting Exchange Market

In betting exchanges, you can use the following formula to calculate the implied probability from odds:

Probability=1Odds\text{Implied Probability} = \frac{1}{\text{Odds}}

Where:

Odds are the decimal odds of the outcome.

You can use this to compare with your estimated probability and find value in the market.

6. Statistical Regression Models

Advanced bettors use regression models to predict outcomes. One common model is:

Strength+ϵ\text{Goals Scored} = \beta_0 + \beta_1 \cdot \text{Team Strength} + \beta_2 \cdot \text{Opponent Strength} + \epsilon

Where:

$β0\beta_0$ is the intercept.
$β1\beta_1$ and $β2\beta_2$ are coefficients.
$Strength\text{Team Strength}$ and $Strength\text{Opponent Strength}$ are variables representing team capabilities.
$ϵ\epsilon$ is the error term.