Selected Work and Projects

Soccer Prediction Model & Evaluation


Machine Learning

Monte Carlo Simulation

ML-Model Validation

Data Science

Data Visualization

Data Extraction & Processing





This project explored predicting football match goals using machine learning. The goal was to test a goal-count-based regression model against the default choice of a win/loss/draw classification model. Despite achieving some success in predicting match outcomes, limitations in goal margin prediction prevented real-world profitability. The model was tested by simulating betting as monte-carlo-simulations and visualizing it's accuracy compared to simpler betting paradigms.

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