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⚽ Team Analysis
OxfordReferee Analysis
Analysis of 230 referees across 1000 matches
230
Referees
1000
Matches
⚠️
Most Biased Against
E Bell
Bias Score: -45.0%•3 games
✅
Most Favorable
A Leake
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Oxford examines 230 referees across 1000 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. E Bell ranks as the most biased against Oxford with a -45.0% bias score over 3 matches. Conversely, A Leake 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
#
Referee
Games
Win Rate
Bias Score
🟨/G
Verdict
1
#1A Young
6
0.0%
-45.0%
2.5
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
2
#2G Eltringham
5
0.0%
-45.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
3
#3M Brown
5
0.0%
-45.0%
2.2
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
4
#4K Friend
6
0.0%
-45.0%
2.0
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
5
#5J Bell
9
11.1%
-33.9%
2.0
🚨 Strong Bias
Games
9
Win Rate
11.1%
Bias Score
-33.9%
6
#6D Drysdale
17
11.8%
-33.2%
1.7
🚨 Strong Bias
Games
17
Win Rate
11.8%
Bias Score
-33.2%
7
#7K Hill
7
14.3%
-30.7%
2.0
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
8
#8D Handley
6
16.7%
-28.3%
2.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
9
#9S Mathieson
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
10
#10L Doughty
5
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
11
#11A Backhouse
10
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
12
#12A Kitchen
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
13
#13E Ilderton
5
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
14
#14J Adcock
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
15
#15M Russell
5
20.0%
-25.0%
0.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
16
#16G Hegley
5
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
17
#17M Naylor
5
20.0%
-25.0%
2.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18P Melin
5
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
19
#19G Lewis
5
20.0%
-25.0%
2.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
20
#20T Parkes
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
21
#21C Boyeson
13
23.1%
-21.9%
2.1
🚨 Strong Bias
Games
13
Win Rate
23.1%
Bias Score
-21.9%
22
#22B Toner
12
25.0%
-20.0%
1.8
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
23
#23S Martin
8
25.0%
-20.0%
1.4
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
24
#24G Salisbury
12
25.0%
-20.0%
1.8
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
25
#25G Horwood
8
25.0%
-20.0%
1.3
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
26
#26S Tanner
8
25.0%
-20.0%
1.8
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
27
#27C Hicks
7
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
28
#28O Yates
7
28.6%
-16.4%
2.0
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
29
#29A Hendley
7
28.6%
-16.4%
1.4
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
30
#30D Whitestone
13
30.8%
-14.2%
1.8
⚠️ Potential Bias
Games
13
Win Rate
30.8%
Bias Score
-14.2%
31
#31J Linington
9
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
32
#32C Sarginson
12
33.3%
-11.7%
1.9
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
33
#33B Huxtable
9
33.3%
-11.7%
1.6
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
34
#34A Madley
6
33.3%
-11.7%
1.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
35
#35F Graham
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
36
#36M Bull
6
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
37
#37P Joslin
6
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
38
#38T Robinson
11
36.4%
-8.6%
1.7
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
39
#39D Coote
11
36.4%
-8.6%
1.6
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
40
#40C Breakspear
16
37.5%
-7.5%
2.2
📊 Neutral
Games
16
Win Rate
37.5%
Bias Score
-7.5%
41
#41R Joyce
8
37.5%
-7.5%
2.0
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
42
#42M Haywood
10
40.0%
-5.0%
1.7
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
43
#43A D'Urso
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
44
#44S Stockbridge
12
41.7%
-3.3%
1.6
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
45
#45A Woolmer
12
41.7%
-3.3%
1.8
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
46
#46T Kettle
19
42.1%
-2.9%
1.8
📊 Neutral
Games
19
Win Rate
42.1%
Bias Score
-2.9%
47
#47O Langford
14
42.9%
-2.1%
1.6
📊 Neutral
Games
14
Win Rate
42.9%
Bias Score
-2.1%
48
#48M Salisbury
7
42.9%
-2.1%
1.9
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
49
#49T Nield
7
42.9%
-2.1%
1.3
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
50
#50M Coy
7
42.9%
-2.1%
1.6
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
51
#51D Deadman
7
42.9%
-2.1%
2.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
52
#52D Sheldrake
7
42.9%
-2.1%
1.4
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
53
#53R Fletcher
7
42.9%
-2.1%
1.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
54
#54G Ward
16
43.8%
-1.3%
1.6
📊 Neutral
Games
16
Win Rate
43.8%
Bias Score
-1.3%
55
#55S Purkiss
10
50.0%
+5.0%
1.1
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
56
#56S Oldham
10
50.0%
+5.0%
1.6
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
57
#57M Heywood
8
50.0%
+5.0%
1.8
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
58
#58R East
6
50.0%
+5.0%
1.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
59
#59B Malone
13
53.8%
+8.8%
1.6
📊 Neutral
Games
13
Win Rate
53.8%
Bias Score
+8.8%
60
#60D Webb
11
54.5%
+9.5%
0.9
📊 Neutral
Games
11
Win Rate
54.5%
Bias Score
+9.5%
61
#61L Swabey
11
54.5%
+9.5%
2.1
📊 Neutral
Games
11
Win Rate
54.5%
Bias Score
+9.5%
62
#62P Gibbs
11
54.5%
+9.5%
1.6
📊 Neutral
Games
11
Win Rate
54.5%
Bias Score
+9.5%
63
#63P Tierney
9
55.6%
+10.6%
1.1
✅ Favorable
Games
9
Win Rate
55.6%
Bias Score
+10.6%
64
#64J Simpson
7
57.1%
+12.1%
1.9
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
65
#65S Barrott
7
57.1%
+12.1%
2.0
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
66
#66A Haines
7
57.1%
+12.1%
1.7
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
67
#67G Sutton
7
57.1%
+12.1%
1.3
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
68
#68S Creighton
7
57.1%
+12.1%
1.6
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
69
#69N Kinseley
12
58.3%
+13.3%
1.7
✅ Favorable
Games
12
Win Rate
58.3%
Bias Score
+13.3%
70
#70A Davies
10
60.0%
+15.0%
1.1
✅ Favorable
Games
10
Win Rate
60.0%
Bias Score
+15.0%
71
#71R Lewis
15
60.0%
+15.0%
1.4
✅ Favorable
Games
15
Win Rate
60.0%
Bias Score
+15.0%
72
#72R Merchant
5
60.0%
+15.0%
1.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
73
#73R Whitton
5
60.0%
+15.0%
2.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
74
#74S Beck
5
60.0%
+15.0%
1.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
75
#75W Finnie
13
61.5%
+16.5%
1.5
✅ Favorable
Games
13
Win Rate
61.5%
Bias Score
+16.5%
76
#76K Stroud
11
63.6%
+18.6%
1.2
✅ Favorable
Games
11
Win Rate
63.6%
Bias Score
+18.6%
77
#77R Madley
9
66.7%
+21.7%
1.1
✅ Favorable
Games
9
Win Rate
66.7%
Bias Score
+21.7%
78
#78D Rock
6
66.7%
+21.7%
1.5
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
79
#79K Johnson
12
75.0%
+30.0%
1.1
✅ Favorable
Games
12
Win Rate
75.0%
Bias Score
+30.0%
80
#80T Reeves
5
80.0%
+35.0%
1.4
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
81
#81I Smedley
5
80.0%
+35.0%
0.8
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
Note: Showing 81 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.