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Data & Systems

Football analytics explained including expected goals, tracking data, GPS systems, performance metrics and how football is measured.

How to Make a Football Game in Python: 5-Step Pygame Guide

21 April 2026 by David Findlay
how to make a football game in python

Python and Pygame provide the building blocks for a 2D football game. This guide covers pitch rendering, player sprites, movement logic, and goal detection from scratch.

Categories Data & Systems

Post Shot xG: 4 Reasons It Changes Goalkeeper Evaluation

8 April 2026 by David Findlay
xG Shot

Post shot xG refines chance quality assessment by adding goalmouth placement data after a shot is struck. It is the standard metric for evaluating goalkeeper shot-stopping performance.

Categories Data & Systems

Football Shot Maps: 5 Things Analysts Read From Every Visual

8 April 2026 by David Findlay
football shot maps

A football shot map plots all attempts on a pitch graphic using dot size or colour to show the xG quality of each chance.

Categories Data & Systems

Football Pass Maps: 6 Insights Every Analyst Extracts

7 April 2026 by David Findlay
football pass maps

A football pass map plots average player positions as nodes, with connecting lines showing the volume of passes between each pair during a match.

Categories Data & Systems

VAEP Football: 5 Things Every Analyst Needs to Know

28 March 2026 by David Findlay
vaep football

VAEP, or Valuing Actions by Estimating Probabilities, is a machine learning metric developed at KU Leuven that assigns a value to every on-ball action in a football match.

Categories Data & Systems

Football Heatmaps: 6 Ways Clubs Use Positional Data

28 March 2026 by David Findlay
football heatmaps

Football heatmaps display where players are most active on the pitch during a match, using colour-coded zones generated from optical tracking and event data to support club analysis.

Categories Data & Systems

Key Performance Indicators in Football: The 7-Position Framework Analysts Actually Use

28 March 2026 by David Findlay
key performance indicators football

Only 46% of football practitioners actively use xG. Understanding which KPIs actually drive performance decisions separates systematic analysis from data accumulation.

Categories Data & Systems

mplsoccer: 10 Pitch Coordinate Systems and What the Python Library Actually Does

28 March 202628 March 2026 by David Findlay
mplsoccer

Football data analysis operates across at least 10 distinct coordinate systems that are not natively interchangeable. mplsoccer handles the translation layer so analysts do not rebuild it from scratch.

Categories Data & Systems

Tactalyse: What the Football Analytics Platform Actually Delivers

28 March 2026 by David Findlay
Tactalyse

Most football analytics platforms produce reports that coaches file and forget. Tactalyse built a model around 400 video clips per match and a single dedicated coaching conversation.

Categories Data & Systems

Football Benchmark: The Global Club Finance Intelligence Hub

28 March 2026 by David Findlay
Football Benchmark

Beyond match performance, club value is defined by institutional financial data. Football Benchmark provides the critical intelligence layer required for elite acquisitions, revenue benchmarking, and long-cycle commercial strategy.

Categories Data & Systems
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