Officiating intelligence for the third team on the field.
Ranked Ligue 1 officiating patterns from the Ref Watch dataset, with effect sizes, sample sizes, and links to evidence.
6 high-confidence findings
League baseline
2.8 combined goals24.4 cards shown per gamebenchmark 2.7 (O/U comparison threshold (matches observed average in this scope))
#1
League trend
Sample: 573 games • Data maturity: High
2.8 goals2025-26 avg total
267 games
Year-over-year context from 5 seasons (1,364 total games). League-wide baselines, not ref-specific. Sample depth is strong (100+ games in this finding).
#2
Ref outlier
+0.4Scoring delta
vs 2.9 league avg
Sample: 80 games • Data maturity: High
Eric Wattellier's 80 games average 3.2 combined points (61.3% over 2.9), one of the largest scoring deltas in the pool.
View evidence#3
Whistle extreme
20.9cards per game
-3.0 vs 23.9 league avg
Sample: 80 games • Data maturity: High
Eric Wattellier averages 20.9 cards per game (-3.0 vs league) across 80 games, the largest whistle delta among 50+ game refs.
View evidence#4
Ref outlier
62.8%Over benchmark
78 games
Sample: 78 games • Data maturity: High
62.8% of Jerome Brisard's 78 games finish over 2.9 combined goals, 12.8 pts from a neutral 50% baseline.
View evidence#5
Whistle extreme
26.6Fouls
+2.7 vs 23.9
Sample: 58 games • Data maturity: High
Mathieu Vernice: 26.6 fouls/match.
View evidence#6
Ref outlier
45.2%Under benchmark
73 games
Sample: 73 games • Data maturity: High
45.2% of Benoit Millot's 73 games finish under 2.9 combined goals, 4.8 pts from a neutral 50% baseline.
View evidenceThese are descriptive historical associations. They do not establish causation or predict individual games.