Whistlewatch

Sports referee analytics — data first, no outrage.

Statistical analysis. No factual claims.

Top Betting Edges

Statistically loudest patterns across all 134 referees.

Methodology in 30 seconds

How we build the Bias Index

Data sources

Match-level scraping from public football data — FBref via soccerdata.

Computation

Five sub-scores (penalties, cards, VAR, stoppage, disallowed goals) normalised against the league average and combined into a single 0–100 index.

What "bias" means here

Statistical leaning, not an accusation. High values flag patterns worth a closer look — they do not allege wrongdoing.

Read the full methodology →