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Sports Analytics

Football Metrics

Footballer taking a shot with annotations from the expected goals (xG) model — Patrones Lab
Project 06 · Football analytics

Expected Goals in Football

Logistic regression model that estimates the probability of each shot becoming a goal using public StatsBomb data, match-level validation and application to the Qatar 2022 World Cup.

Footballer carrying the ball with annotations from the expected threat (xT) model — Patrones Lab
Project 07 · Football analytics

Expected Threat in Football

Probabilistic Expected Threat model in soccer using public StatsBomb data. It estimates the probability of a goal in the next 5 actions.

Argentina footballer with a 2022 World Cup percentile radar — Patrones Lab
Project 11 · Football Analytics

2022 World Cup · Percentile Radar

Analysis of 2022 World Cup statistics using public StatsBomb data, focused on summarizing individual performances and comparing players through percentile radar charts.

Simulation and Probabilities

Monte Carlo simulation trajectories over a football stadium background — Patrones Lab
Project 15 · Soccer Analytics

2026 World Cup · Monte Carlo Simulation

Simulation of one million 2026 World Cup scenarios using Elo ratings to estimate the probability of reaching the semifinals, playing the final and becoming champion.