Selected Work and Projects
Soccer Prediction Model & Evaluation
Categories:
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.
Download Resume (German)
