PRIVATE REAL-DATA RESEARCH BUILD · CERTIFIED REFEREE AUTHORITY · NOINDEX
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confidence C
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REFEREE GENOME · SUPER LEAGUE 2026

Haixin Li

Haixin Li, China

CONFIDENCEC
SAMPLE11matches
CORE COVERAGE100%
WINDOW2026-09-18
REFEREE DNA · 7 DIMENSIONSreferee-dna-v0.1-research
Foul calling64
Fouls called per match relative to referee peers.
Discipline intensity93
Card points per match, with yellow = 1 and red = 3.
Red-card tendency36
Observed red cards per match relative to peers.
Card escalation64
Card points per 20 co-observed fouls.
Late discipline79
Share of observed cards shown from minute 75 onward.
Home-card differential7
Home minus away card points per match. This is an observed differential, not a bias label.
Discipline volatility93
Match-to-match variability in total card points.
EVIDENCE & INTERPRETATIONwhat the profile can and cannot say
Observed cards

57 card events across 11 observed matches; 2 red-card events.

Observed fouls

305 total fouls across 11 matches with complete foul statistics.

Home-card differential

A signed disciplinary difference only. It does not establish intent, favoritism or referee bias.

Peer context

Percentiles compare this referee only with eligible referees in Super League 2026.

LINEAGEreferee-specific immutable evidence manifest
MODEL
referee-dna-v0.1-research
WINDOW END
2026-09-18
MANIFEST
referee-source-manifest-v0.1
SOURCE SHA-256
4e9e9c34f5b4a976397263c285ecab5727ba3646166bb5d1909862741e251254
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Percentiles describe observable disciplinary behaviour relative to same-competition referee peers.

Not a quality, motive or bias score.
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