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Football learning topic

Analytics & Statistics

xG, xA, shots, possession, passing and other match metrics explained with provider-specific definitions and practical context.

10 source-led guides

Read the match more clearly

Start with the underlying idea.

A football number is useful only when its definition and context are clear. These guides explain what familiar metrics measure, what they leave out and why two reputable providers can report different values for the same match.

Begin with the underlying event—such as a shot, pass or defensive action—before comparing model outputs. Provider methodology, game state, role and sample size all matter when a statistic is used to judge performance.

Common starting points

Questions this topic answers.

Why do expected-goals values differ between websites?

Providers use different data inputs, model designs and event definitions. Their numbers can therefore differ even when both models are internally consistent.

Does more possession mean a team controlled the match?

Not by itself. Possession shows share of the ball, while territory, chance quality, game state and defensive control add the context needed to interpret it.

Why do player ratings differ between apps?

There is no universal official rating formula. Each provider chooses the events, weights and scaling used to turn a performance into one score.

Complete topic collection

All analytics guides.

Every article keeps a focused question, a direct answer, practical context, related reading and source notes.

Football analytics9 min

What Expected Goals (xG) Means

Understand how xG estimates shot quality, why values range between low and high probabilities and why different providers can produce different numbers.

Football analytics8 min

What Expected Assists (xA) Means

Learn how xA values the chance-creating quality of passes, how it differs from recorded assists and why provider definitions matter.

Match statistics8 min

What Possession Statistics Really Show

Understand what a possession percentage can and cannot tell you about control, territory, chance quality and game state.

Match statistics7 min

How Passing Accuracy Is Measured

Learn the basic completed-pass percentage, why event definitions matter and how pass difficulty changes the meaning of a high completion rate.

Match statistics7 min

Shots vs Shots on Target Explained

Understand the difference between total attempts and on-target efforts, including saves, goals, blocks and why shot volume needs quality context.

Match statistics7 min

What Big Chances Mean in Football

Learn what data providers mean by a big chance, why the label is not an IFAB rule and how it differs from expected goals.

Football analytics8 min

Progressive Passes and Carries Explained

Understand how analysts measure ball progression, why thresholds vary and how passing and carrying describe different routes up the pitch.

Football analytics8 min

What PPDA Means in Football

Learn how Passes per Defensive Action approximates pressing intensity, why lower values usually indicate more pressure and what the metric misses.

Match statistics6 min

What a Clean Sheet Means

Understand the team meaning of a clean sheet, why player and fantasy clean-sheet credits can use different eligibility rules and what the stat does not measure.

Football analytics8 min

How Football Player Ratings Work

Learn why match ratings differ between apps, how event-based systems assign value and why a single 1–10 score cannot capture every role.