Each player on the pitch can be represented through a set of coordinates. By mapping these positions, the structure of a team becomes visible.

Spatial data allows formations to be reconstructed and analysed, providing a clear view of how players are distributed across the field.

Position is not static. It evolves continuously throughout the match.

Standard formations provide a framework for organising players, but real match data reveals how these structures shift in response to play.

By assigning coordinates to each role, formations can be visualised and compared across different teams and matches.

Variations in positioning highlight tactical intent and adaptation.

Coordinate-based datasets capture movement, positioning and interaction. These data points form the foundation of spatial analysis in football.

By aggregating positions over time, patterns emerge that describe player behaviour and team organisation.

The pitch becomes a coordinate system.

This visualisation maps player positions based on structured coordinate data. Each node represents a player, positioned according to their role within the formation.

Interactions between players can be layered onto this structure, providing additional context to the positional layout.

The result is a simplified representation of a complex system.

Understanding spatial structure is essential to analysing the game. Coordinates provide a foundation for exploring how teams organise, defend and attack.

Visualisation transforms abstract positional data into a clear and interpretable form.

It is about seeing the structure behind the movement.

Structure. Position. Movement.