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Mathematical Football Predictions

Making Predictions with Mathematical Models

Model-based football prediction is a major field in football analytics. We use statistical functions to compare historical match data, estimated probabilities, and available market odds. These models output a list of fixtures and prediction markets where the statistical probability differs from the implied market probability.

In football analytics, statistical models can include well-known approaches such as Poisson Regression and the Dixon-Coles model.

Predictions Generated With Mathematical Models

We use statistics and mathematical models to generate football predictions and identify notable differences between statistical and market probabilities.

Video : Explaining Mathematical Predictions

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