Football Hacking
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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
6
1
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
5
2
1
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
2
1
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
2
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
3
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
5
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
7
1
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
1
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