
LaLiga 2026/27 · Heatmap of final standings
Heatmap of projected final positions for LaLiga teams from one million Monte Carlo simulations.
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Heatmap of projected final positions for LaLiga teams from one million Monte Carlo simulations.
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Poisson and Monte Carlo simulations estimate the chances of a top-eight finish, playoffs or elimination.
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Comparison of Elo ratings, projected points and simulated result ranges for each team.
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Histograms of simulated points highlight the competition's most frequent outcomes.
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Position percentiles show the range of likely final standings.
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Introduction to the Poisson model and Monte Carlo simulation used to estimate match outcomes and standings.
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LinkedIn post about simulations. The specific details have not yet been verified.
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How projected national-team rankings evolve across competition matchdays.
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Poisson goal model and Monte Carlo simulations to project Champions League outcomes.
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Comparing Elo ratings with each national team's estimated chance of winning the Nations League.
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Chances of advancing through each stage, from the group phase to the final.
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Overview of a simulation model for estimating UEFA Nations League probabilities.
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Analysis of air traffic in the Balearic Islands using public AENA data.
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Simulating probabilities of winning groups, progressing through knockouts and lifting the trophy.
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Updated final-position probabilities based on new results and Elo ratings.
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LinkedIn post about the LaLiga simulation. Details have not yet been verified.
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Simulating scenarios to estimate final positions and outcomes in LaLiga.
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LinkedIn post about LaLiga scenarios. Details have not yet been verified.
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Using DBSCAN to find clusters and unusual transactions in transactional data.
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Exploring reported Chicago taxi trips to identify temporal, spatial and economic patterns.
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Classification model to analyze transactions and signs associated with fraud.
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Introducing Patrones Lab and its data projects, models and visualizations.
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Comparing classification techniques to study economic losses from weather events.
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Power BI dashboard to explore supplier spending, trends, categories and regions.
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Dashboard exploring Spotify rankings, streams, trends and countries.
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Updated World Cup winning probabilities and possible final matchups.
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Simulated quarterfinal matchups and chances of advancing through the bracket.
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Estimated chances of reaching the semifinals, playing the final and winning the World Cup.
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Updated chances of advancing and winning after the round of 32.
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Round-by-round advancement forecasts using the results available at the time.
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Simulation model estimating each national team's chances of advancing and winning.
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Comparing Argentine players with position-based percentiles and per-90 metrics.
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Visual comparisons of individual performances at Qatar 2022 using percentile radar charts.
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How on-ball actions changed attacking threat in the Argentina–France final.
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Article on football and probabilities in the Qatar 2022 Argentina–France match.
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Probabilistic model estimating the scoring chance of each shot at the World Cup.
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Analysis of attacking threat generated by on-ball actions during Qatar 2022.
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Interactive dashboard exploring demand and routes among reported Chicago taxi trips.
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Map of trip concentration across Chicago areas based on open data.
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Analysis of pickup and drop-off zones, routes and spatial concentration of taxi activity.
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Mapping busy zones and origin–destination flows among reported taxi trips.
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Interactive dashboard exploring taxi activity, fares and routes in Chicago.
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How reported trips vary by day, time, distance and fare.
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Article on Chicago's urban taxi-trip network based on open data.
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Analysis of demand, routes and fares among reported Chicago taxi trips.
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Analysis of prices by location, distance to the center and neighborhood characteristics.
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Model classifying listings as relatively expensive or inexpensive within each room type.
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Comparing Airbnb accommodation prices and geographic distribution across London.
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Article on London Airbnb prices and their spatial distribution.
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Exploring accommodation prices, listing types, availability and neighborhood differences.
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Analysis of passengers, connectivity and seasonality at Balearic airports.
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Article on Balearic tourism using AENA's open aviation data.
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Analysis of air traffic at Mallorca, Ibiza and Menorca airports using public AENA data.
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Density-based clustering to identify unusual transactions and potential fraud patterns.
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Supervised classification of transactions to estimate fraud risk and interpret relevant signals.
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Clustering transactions with K-means to explore unusual behaviors associated with fraud.
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