Bias Trends

Who keeps getting bad calls — over time?

Per-month trend of AI-judged incorrect calls for the top 8 players and teams. Rising lines mean a pattern of bias is accumulating.

1 bucket
Whistle Consistency

How closely does each official match the AI's "Truth"?

100 means every judged call matched the AI verdict. The blue → violet gradient highlights where calls deviate most.

Executive Summary · AI-generated

Official Alert: Tony Brothers and Minnesota Timberwolves

Official Tony Brothers demonstrated a 50% incorrect call rate across 24 calls involving the Minnesota Timberwolves, suggesting a significant bias.

Pressure Rating

Does crew accuracy hold up on the road?

Pressure = home accuracy − away accuracy. Positive values mean the crew's "Truth Accuracy" drops in hostile environments.

  • Gediminas Petraitis
    H 100% · A 25%
    +75
    Pressure
  • Ed Malloy
    H 85.7% · A 40%
    +45.7
    Pressure
  • Kane Fitzgerald
    H 100% · A 60%
    +40
    Pressure
  • Jacyn Goble
    H 60% · A 28.6%
    +31.4
    Pressure
  • Zach Zarba
    H 80% · A 56.3%
    +23.8
    Pressure
  • Marat Kogut
    H 100% · A 80%
    +20
    Pressure

Players

Top 8 players by total incorrect calls

Wrong calls per game

Teams

Top 8 teams by total incorrect calls against

Wrong calls per game

Wrong calls are the AI's incorrect verdicts on judged calls. Inconclusive judgements are excluded. Only entities with ≥ 5 total calls are charted.