Final-Third Receiver Entropy

What it is

Entropy applied to *who* receives in the final third (RFT). A block defends reference points; if the final-third receiver is highly unpredictable (high entropy), there is no reference point to defend — the data face of the no-fixed-position attack. Needs an H_norm benchmark and tagging pipeline.

Built from

Grounded in existing KPIs/data: RFT.

Development status

Draft — measurement method defined; benchmark and validation still to come.

2026 World Cup example

Approximate
A normalised entropy of final-third receptions across the PMSR player-distribution table — the closest thing this dataset has to per-player receiver tagging, but still a proxy for the concept. Quartiles: win rate 32.7% → 39.6% → 43.1% → 38.5% — a mild upward drift with the top quartile actually below the third. Read as a weak, inconclusive signal rather than support for the KPI. Read the full report →