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Tactical Filter Visualization (Multi-Dimension Action Filtering)

Tactical AnalysisLevel 2 — Intermediate

What It Is

A tactical filter visualization allows an analyst to slice all on-ball actions by multiple simultaneous dimensions — player, team, action type (pass/shot/carry/dribble), foot, outcome (complete/incomplete), pitch zone origin, pitch zone destination — and view the resulting subset plotted on a pitch. This makes it possible to answer highly specific tactical questions: "Show me all right-footed passes Ramos played from his defensive box to the wide channels" rather than viewing a generic heatmap. The filtered view is then linked to video clips for rapid review.

Correct Execution

Design principles: (1) filter down to a specific action subset before plotting — don't start with all actions; (2) use pitch zone or polygon selectors to define origin/destination areas; (3) display accuracy/outcome as color coding on each action arrow; (4) sort by outcome for quick pattern identification; (5) link selected actions to video so the analyst can immediately watch what happened. The goal is to reduce "how many actions match this exact tactical question?" from hours of manual video review to seconds of data filtering.

Progression Levels

Diagnostic Tree

Coaching Cues

  • "Filter first, then plot. Don't look at everything and hope something jumps out." — WFS 2019
  • "The filter is the question. The plot is the answer."

Common Errors

  1. Using tactical filter visualization for discovery instead of hypothesis testing: Define the question first, then filter. Fishing through arbitrary filter combinations produces false positives.
  2. Not linking to video: A pitch plot without video context is unverifiable. Always provide clip access from the filtered view.

Sources

  • Ted Knutson & Siqur Arshad, WFS 2019 StatsBomb presentation, YouTube, 2019-10-02 — demonstrated IQ Tactics tool with multi-dimension filtering; showed PSG team passing filtered by zone, Messi shot sequences, Ramos defensive box passes filtered by foot and destination; highlighted data-video alignment as the result