SoccerAnalytics

Football, told in numbers

Read the game by its numbers.

Expected goals, pressing intensity, ball progression and projection models — explained in plain language and computed from public data, with every figure traceable to a script you can run yourself.

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Latest analysis

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Explore by category

Six beats, one obsession
01

World Cup 2026

The first 48-team World Cup, read through data.

63 articles → 02

Stat Explainers

What the numbers actually measure, in plain language.

22 articles → 03

Data Deep-Dives

Long-form analysis, built from the raw event data.

25 articles → 04

Tutorials

Pull the data and draw the charts yourself.

8 articles → 05

Player & Team Analysis

Profiles and scouting, by the numbers.

6 articles → 06

Projections & Methodology

How forecasts are built — and why they disagree.

4 articles → 07

Football History

The game's past, re-examined through data.

4 articles →

Numbers, with the working shown

SoccerAnalytics.net is an independent publication about the measurable side of football. The aim is simple: take the metrics that now shape how clubs recruit, coaches plan and broadcasters talk — expected goals, expected threat, PPDA, progressive actions, post-shot xG — and explain what they actually measure, where they come from, and where they break.

Nothing here is hand-waved. Every chart and table is built from public data — primarily StatsBomb open data, supplemented by Understat and FBref — and the Python script that produced it ships alongside the article so you can re-run the numbers or learn from the code. When a figure can't be sourced from a real data pull, it doesn't get published.

If you want the metrics explained honestly, the tutorials to compute them yourself, and the occasional argument about what the data does and doesn't prove, you're in the right place. Start with the stat explainers, or learn to pull the data yourself.