Football is driven by continuous movement, interaction and decision making. Through data visualisation, these complex patterns can be revealed in a clear and structured way.

Every pass, shot and movement can be recorded as event data. By mapping these actions, it becomes possible to analyse performance, identify structure and understand how teams operate on the pitch. :contentReference[oaicite:0]{index=0}

The aim is not simply to collect data, but to transform it into meaningful visual insight.

Passing networks provide a clear representation of how players interact within a team. Each player is represented as a node, while connections illustrate the flow of passes between them.

Stronger connections indicate a higher frequency of interaction, revealing key players and tactical structure within a match.

By analysing these networks, patterns emerge that highlight control, dominance and weaknesses in play.

Above all else, show the data.

This section contains a series of interactive explorations into football data:

Coordinate Mapping
Position Playback
Heatmap
Coordinate Video
Tennis

Each experiment explores different aspects of spatial and event-based data, from player positioning to match dynamics.

The data used in these visualisations is derived from detailed match event records, including passes, shots and positional information.

Modern football analytics platforms track thousands of events per match, allowing deeper insight into tactics and performance. :contentReference[oaicite:1]{index=1}

By combining structured data with visual design, complex information can be communicated quickly and effectively.