Event data

Impact Lab

Advanced player impact models.

Event-data models for asking a sharper question than raw totals: who actually changed possessions into more dangerous football? Start with Match Influence Rating, then switch tabs to inspect possession value, action value, defensive prevention and transition work.

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Selected model

Match Influence Rating

A headline rating for tournament influence. It asks whether a player's actions made possessions more likely to become dangerous, while preventing pure territory accumulation from dominating the answer.

Formula logic

Match Influence Rating blends chance value, action value, possession value, transition value, defensive prevention, component balance and minute reliability. Chance and action value carry the headline because they are closer to changing the score.

Primary signal
Chance value and action value decide most of the headline ranking.
Support signal
Possession, transition and defensive value explain the route to influence.
Role context
Players are checked against broad role expectations without letting role-only dominance become the whole answer.
Reliability
Low-minute samples are shrunk so one noisy match does not look like a stable player level.

Metric explorer

Match Influence Rating leaders

Loading event-data competitions.

ModelMatch Influence Rating
Fixtures--
Sample-- players
Statusevent-model-v1

Average action map

Each marker is a top player's average action start location. Larger markers mean higher selected value.

Impact leaders

Selected metric per 90, with the underlying component split shown on hover.

    Evidence table

    Rank by the selected metric, then read the components that explain the route to value.

    RankPlayerTeamPositionMinutesImpactPVAAVAChanceDefTransReliability