Football Hacking

How to Read Dispersion and Skew in Football Models (And Make Smarter Decisions)?

From Averages to Extremes: What Dispersion and Skew Really Tell Us About Football?

Há 11 horas • Saulo Faria

fevereiro 2026

Why Poisson Models Work Better in Some Football Leagues Than Others?

From signal to chaos: when Poisson Works—and when it doesn’t—in football.

fev 26 • Saulo Faria

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How the “Poisson Preds” Page Works in Football Hacking (Streamlit + Poisson + Dixon–Coles)

A practical, beginner-friendly walkthrough of Poisson scoreline matrices, Dixon–Coles, and fair odds in Streamlit.

fev 23 • Saulo Faria

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How to Build a Football Pass Network in Python (Step by Step)

Stop Guessing, Start Mapping: Visualizing Ball Circulation with Pass Networks

fev 19 • Saulo Faria

You Can Now Download All the Data from the Football Hacking App (And Build Your Own Visuals)

If you’ve ever wanted to go beyond looking at charts and actually get your hands on the data, this update is for you.

fev 12 • Saulo Faria

Manchester United After Amorim: What the Data Says About the Carrick Effect

From transition to transformation: what the data really shows.

fev 6 • Saulo Faria

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janeiro 2026

From Raw Data to Insight: Visualizing Football Shots from FotMob with Python (Final Part)

You’ve scraped the data. Now let’s see what it’s really saying

jan 29 • Saulo Faria

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Web Scraping Football Data with Python (Part 3):

Accessing Shot Data from FotMob the Right Way

jan 22 • Saulo Faria

PageRank and Load, Closeness, Eigenvector Centralities in Football

How Network Metrics Reveal a Player’s True Role

jan 20 • Saulo Faria

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Web Scraping Football Data With Python (Part 2): Connecting to the FotMob API

The Step Where Web Scraping Actually Starts to Work

jan 15 • Saulo Faria

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Web Scraping Football Data with Python: Getting Started with FotMob #1

The first step toward building your own football data pipeline — explained slowly, clearly, and from scratch.

jan 8 • Saulo Faria

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Manchester City vs Chelsea: Total Control, Fine Margins, and a 1–1 Reality

How City dominated structure, circulation, and space — but saw efficiency decide the outcome

jan 6 • Saulo Faria

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