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Intent Tracking on Incomplete Passes

Event Data ModelsLevel 2 — Intermediate

What It Is

When a pass is incomplete, the data normally records only the passer's action and the outcome (incomplete). StatsBomb additionally records a ball receipt event for the intended recipient when that intention can be confidently inferred — from player trajectory, pass angle, and game context. This allows analysts to distinguish between passes that went to the right place but were intercepted vs. passes that were misdirected. Intent data transforms outcome analysis into decision-quality analysis.

Correct Execution

Correct use: filter to incomplete passes; join to receipt events where they exist (intended receipts); segment by whether the intent was correct (ball was going to the right space, just intercepted) vs. incorrect (ball was aimed to a pressured or wrong receiver). The presence of an intent receipt record on a failed pass means the analyst can evaluate the decision separately from the execution — a good decision badly executed is different from a bad decision that happened to fail.

Progression Levels

Diagnostic Tree

Coaching Cues

  • "Where was it aimed? Not just where did it go." — Thom Lawrence, 2018
  • "Intent records let you evaluate the decision, not just the outcome."

Common Errors

  1. Treating all incomplete passes as decision failures: Many incomplete passes are correctly decided but poorly executed (or well-defended). Intent records distinguish these.
  2. Assuming all incomplete passes have intent records: Coverage is not 100% — only cases where intent is "very clear" get a receipt record. Don't assume absence of intent record means the decision was wrong.

Edges

🔑 Hidden Causal Lever

Failed Passes With Known Intent Are More Analytically Valuable Than Completed Safe Passes

When the intended recipient of a failed pass is known (from the ball receipt event on incomplete passes), the pass reveals the player's decision quality even though execution failed. A progressive pass into the correct pocket that was slightly overhit tells you the player SAW the opportunity — execution is more coachable than vision. Filtering to only completed passes for decision analysis discards the most diagnostic data: the ambitious attempts that didn't quite work.

What most people do
Filter to completed passes for analysis, discarding failed passes as "errors."
What the best do
Use intent-tracked failed passes to evaluate decision quality separately from execution quality. A player who attempts 10 progressive passes and completes 6 may have better vision than a player who attempts 6 and completes 6 — they see more opportunities.
Why it's an edge: Decision quality and execution quality are separate skills with different development trajectories. A young player with elite decision quality (attempts the right passes) but poor execution (only completes 60% of them) will improve as execution develops. A player with poor decision quality but good execution will not.
How to exploit: For development players, compute "intent quality" (xT or EPV of the intended pass, regardless of completion). Prioritize developing players whose intent quality is high — execution improves with practice, vision doesn't.
Thom Lawrence, StatsBomb Data Launch, 2018-05-23. Receipt events on incomplete passes for intent tracking.

Sources

  • Thom Lawrence, StatsBomb Data Launch presentation, YouTube, 2018-05-23 — explained StatsBomb's approach to adding ball receipt events for incomplete passes when intended target is "very clearly" identifiable