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Scoracle Football Predictor: How It Works

Data Collection

We scrape football data from various sources on the web, including team statistics, fixture lists, and historical match results.

Statistical Model

Our prediction model is based on the Poisson formula, a statistical method that considers historical team performance and calculates the probability of different match outcomes.

Python Libraries

We utilize Python libraries like Beautiful Soup for web scraping, requests for making HTTP requests, and scipy for implementing the Poisson formula.

Making Predictions

Using the collected data and applying the Poisson formula with calculated lambda values, we predict the number of goals for each team and determine match outcomes.

Benefits

  • Improved Accuracy.
  • Informed betting decisions based on statistical analysis.