- Data Science Applications focusing on football analytics ⚽
- Building Products for Practical Applications in Football:
- TactiMation - A flexible tactics animation board
- Wosonars - Twitter bot to automate query-based player visualizations
- xGBoard - Interactive application to get xG values for shots based on a CNN model
- MplFooty - Gallery of football analytics vizzes created using matplotlib
- Futbolista - Julia package to make football analytics tasks easier
- Statistical Modelling for Predictive Football Analytics:
- Expected Goals Model
- Expected Threat Models
- Bayesian Modelling of Players' Performance Levels
- Implementing and Explaining Football Research Papers:
- Valuing Actions by Estimating Probabilities
- Match Simulation Models
- Expected Threat Models
- Clustering players based on roles
- Creating Static Visualizations for story-telling purposes:
- A link to some of my static vizzes can be found here
- Building Products for Practical Applications in Football:
