⚽ Team Analysis

Oxford CityReferee Analysis

Analysis of 32 referees across 46 matches

32
Referees
46
Matches
⚠️

Most Biased Against

A Miller

Bias Score: -45.0%1 games

Most Favorable

R Ricardo

Bias Score: +55.0%1 games

Our comprehensive referee bias analysis for Oxford City examines 32 referees across 46 matches, revealing fascinating patterns in how different officials impact the team's performance. The data shows a 100.0 percentage point spread between the most favorable and most biased referees, with some officials showing particularly notable negative patterns. A Miller ranks as the most biased against Oxford City with a -45.0% bias score over 1 matches. Conversely, R Ricardo has overseen the team's best performances with a +55.0% bias score. This analysis helps football fans, bettors, and fantasy managers understand historical referee-team dynamics and make more informed decisions.

All Referees Ranked by Bias

#1A Miller
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#2S Parkinson
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#3A Byrne
🚨 Strong Bias
Games
2
Win Rate
0.0%
Bias Score
-45.0%
#4J Oldham
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#5D Baines
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#6S Morland
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#7G Rhodes
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#8A Farmer
🚨 Strong Bias
Games
3
Win Rate
0.0%
Bias Score
-45.0%
#9M Crusham
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#10J Mulligan
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#11A Dale
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#12R Atkin
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#13M Russell
🚨 Strong Bias
Games
2
Win Rate
0.0%
Bias Score
-45.0%
#14R Aspinall
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#15A Ajibola
🚨 Strong Bias
Games
2
Win Rate
0.0%
Bias Score
-45.0%
#16A Bannister
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#17R Watkins
🚨 Strong Bias
Games
2
Win Rate
0.0%
Bias Score
-45.0%
#18M Barlow
🚨 Strong Bias
Games
2
Win Rate
0.0%
Bias Score
-45.0%
#19K Dowle
🚨 Strong Bias
Games
2
Win Rate
0.0%
Bias Score
-45.0%
#20G Rollason
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#21P Marsden
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#22W Cartmel
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#23D Richardson
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#24D Mcnamara
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#25S Copeland
🚨 Strong Bias
Games
1
Win Rate
0.0%
Bias Score
-45.0%
#26F Hallam
⚠️ Potential Bias
Games
3
Win Rate
33.3%
Bias Score
-11.7%
#27J Durkin
📊 Neutral
Games
2
Win Rate
50.0%
Bias Score
+5.0%
#28G Parsons
📊 Neutral
Games
2
Win Rate
50.0%
Bias Score
+5.0%
#29S Mulhall
✅ Favorable
Games
3
Win Rate
66.7%
Bias Score
+21.7%
#30E Swallow
✅ Favorable
Games
1
Win Rate
100.0%
Bias Score
+55.0%
#31A Jackson
✅ Favorable
Games
1
Win Rate
100.0%
Bias Score
+55.0%
#32R Ricardo
✅ Favorable
Games
1
Win Rate
100.0%
Bias Score
+55.0%

Note: Showing 32 referees with 1+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.

Frequently Asked Questions