Advanced Metrics Explained
What is xG and PPDA? A football metrics primer
Expected goals and passes allowed per defensive action explained from first principles: what each number measures and how to read it.
Read more →A data hub for the modern game. We break down how football metrics are built — xG, xA, PPDA, progressive passes and field tilt — how data shapes roles and pressing styles, how competitions are structured, and how scouting and video analysis work. Formulas and mechanics yes; invented player statistics no.
Data hub
Niana Analytics explains the numbers behind the modern game — how each metric is built, what it can and cannot tell you, and how analysts turn event and tracking data into tactical insight. No invented player statistics: we explain mechanics and formulas, you draw the conclusions.
xG, xA, PPDA, progressive passes and field tilt — the mechanics behind the numbers.
Expected goals and passes allowed per defensive action explained from first principles: what each number measures and how to read it.
Read more →Shot location, angle, body part and defenders: the ingredients of an xG model and why a single number never tells the whole story.
Read more →How xA scores a pass by the quality of the chance it creates, and how to use it without overrating a creative midfielder.
Read more →Passes allowed per defensive action: the formula, what it captures about pressing and the traps in comparing teams across styles.
Read more →Progression volume and territorial dominance: how progressive passes, carries and field tilt differ from raw possession.
Read more →How event data describes roles, pressing styles, build-up and defensive structure.
From heat maps to role clusters: how analysts sort players by behaviour instead of by the position printed on the team sheet.
Read more →High press, mid-block and low block described through measurable behaviour: start distance, intensity and recovery location.
Read more →How a handful of rate metrics become a team fingerprint, and what those fingerprints can and cannot settle in a tactical debate.
Read more →First line, second line and third line: reading build-up through pass networks, zone entries and progression routes.
Read more →Measuring the defensive line, compactness and block height — the numbers behind the phrase "defending deep".
Read more →Five metrics, one line each: what the number measures and the question it answers.
| Metric | What it measures | Question it answers |
|---|---|---|
| xG | Chance quality of each shot | How good were the chances? |
| xA | Quality of the pass before a shot | Who created the chance? |
| PPDA | Opponent passes allowed per defensive action | How hard does a team press? |
| Progressive passes | Passes that move the ball notably upfield | How does a team advance? |
| Field tilt | Share of attacking-third possession | Who controls territory? |
Swiss-system league phases, the expanded Club World Cup, tiebreakers, seeding and playoffs.
One league phase, eight games, one table: how the Swiss-system format works and how qualification is decided.
Read more →Thirty-two clubs, group stage and knockout rounds: how the enlarged Club World Cup is structured and how teams progress.
Read more →Three points for a win, goal difference and the ordered tiebreakers that decide who finishes above whom when records are level.
Read more →Seeds, pots, restrictions and bracket paths — the mechanics behind a cup draw and a knockout schedule.
Read more →Automatic places, playoff routes and the many shapes of promotion and relegation across league pyramids.
Read more →No. xG describes the quality of the chances a team created shot by shot; it is a summary of what happened, not a forecast of what will happen next.
Because each model chooses its own inputs and weights — for example whether it includes defenders, the goalkeeper or the pass before the shot. The definition matters more than the number itself.
No. PPDA measures how many passes an opponent completes per defensive action, so it drops when a team presses high and rises when it drops back. It describes intensity, not success.
No. We explain how metrics are constructed and used. Invented or unverifiable player numbers would defeat the purpose of an analytics explainer.
Scouting methodology, video review workflows, tracking data and analysis reporting.
How a scouting process combines shortlists, filters and live viewing — and where data must hand over to the eye.
Read more →Clipping, tagging and presenting: a repeatable video workflow from raw footage to a team meeting.
Read more →How positions become data: camera-based optical tracking and wearable sensors, sampling rates and what each can measure.
Read more →From live coding to automated detection: how pass, shot and defensive events get into a dataset, and why definitions matter.
Read more →Shortlists, dashboards and post-match packs: how analysts communicate findings so that coaches actually use them.
Read more →