Practical guides on how the work actually gets done — opposition analysis, set pieces, player profiling, data interpretation.
What player analysis is, why it matters, and how clubs use it to develop individuals and inform decisions.
A professional framework for building opposition analysis reports that coaches actually use.
Why set pieces decide games, how to analyse them systematically, and how clubs design routines that create goals.
How to read GPS data, manage training loads effectively, and use metrics to protect player availability.
Principles and practical techniques for presenting data clearly to coaches who did not study statistics.
How modern clubs use data and video in recruitment, and what professional recruitment analysis looks like in practice.
The interpersonal and communication skills that determine whether your analysis drives decisions or gathers dust.
What StatsBomb offers, how to access the free open data, and how to start working with their Python library.
Why Python matters, the essential libraries, and how to produce your first football data visualisation.
How artificial intelligence is being applied in professional football in 2026, from tracking data to language models.
What hiring managers in football analysis actually look for, and how to structure your work to make the strongest possible impression.
Understanding when raw numbers mislead and when video is the only thing that proves the point — and how to combine both effectively.
The roles, reporting lines, and day-to-day workflows inside a modern professional football analysis department.
The metrics behind modern high-press football — what they mean, how to calculate them, and how to report them accurately.
A practical framework for analysing attacking and defensive transitions — one of the most decisive phases of modern football.
Total distance, HSR, HMLD, acceleration counts — what each metric measures and when it is actually useful.
How sports scientists use ACWR, wellness monitoring and periodisation data to keep players available and performing.
The structure, language and evaluation criteria that professional scouts and recruitment analysts use when assessing players.
xG, xA, xGBuildup, progressive actions — what these metrics actually measure and how recruiters use them to evaluate players.
Querying football databases, joining tables, and pulling the exact data your analysis needs — without writing a single line of Python.
Cultural intelligence, managing up, and knowing your place — the unwritten rules of working in a professional football club.
An honest guide to the qualifications landscape — what clubs actually look for and which certifications carry real weight.
How the women's game has professionalised, where the roles are, and how to build a career in the fastest-growing area of football.
How raw event data collected by Opta and StatsBomb is transformed into the metrics and models analysts use every day.
How analysis, sports science, medical and coaching staff collaborate — and what analysts need to understand about each other's roles.
What analysts need to understand about nutrition and recovery science, and how physical preparation data integrates with performance analysis.
Why the best scouts in 2026 combine data fluency with in-person observation, and how to build a scouting system that uses both well.
A practical guide to collecting, cleaning and structuring football data so you can build reliable analysis outputs and dashboards.
How to structure pre-match analysis presentations for different audiences — and the mistakes analysts most commonly make.
A practical, honest guide to getting your first role in professional football analysis when you do not have an existing network.
A complete analytical guide to measuring, designing, and exploiting pressing systems using data and video.
Why transitions produce the highest-quality chances in football, and how to analyse, implement, and neutralise them.
Understanding juego de posición, how to measure spatial control, and how to use passing networks and space maps in your analysis.
A practical guide to match coding from scratch — categories, structure, workflows, and how professional analysts approach live and post-match tagging.
What clubs actually look for in a portfolio, what to include, and how to present your work to maximise interview success.