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⚽ Team Analysis
BrentfordReferee Analysis
Analysis of 151 referees across 1000 matches
151
Referees
1000
Matches
⚠️
Most Biased Against
A Marriner
Bias Score: -45.0%•2 games
✅
Most Favorable
S Dunn
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Brentford examines 151 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. A Marriner ranks as the most biased against Brentford with a -45.0% bias score over 2 matches. Conversely, S Dunn 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
#1E Ilderton
6
0.0%
-45.0%
2.7
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
2
#2C Sarginson
7
0.0%
-45.0%
1.0
🚨 Strong Bias
Games
7
Win Rate
0.0%
Bias Score
-45.0%
3
#3S Bratt
6
0.0%
-45.0%
0.8
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
4
#4C Webster
6
0.0%
-45.0%
1.5
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
5
#5P Armstrong
10
0.0%
-45.0%
1.0
🚨 Strong Bias
Games
10
Win Rate
0.0%
Bias Score
-45.0%
6
#6C Kavanagh
9
11.1%
-33.9%
0.7
🚨 Strong Bias
Games
9
Win Rate
11.1%
Bias Score
-33.9%
7
#7R Jones
14
14.3%
-30.7%
1.8
🚨 Strong Bias
Games
14
Win Rate
14.3%
Bias Score
-30.7%
8
#8S Duncan
12
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
12
Win Rate
16.7%
Bias Score
-28.3%
9
#9F Graham
11
18.2%
-26.8%
1.9
🚨 Strong Bias
Games
11
Win Rate
18.2%
Bias Score
-26.8%
10
#10M Brown
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
11
#11P Melin
5
20.0%
-25.0%
0.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
12
#12J Simpson
12
25.0%
-20.0%
1.7
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
13
#13C Boyeson
12
25.0%
-20.0%
1.1
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
14
#14P Taylor
8
25.0%
-20.0%
1.8
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
15
#15O Langford
19
26.3%
-18.7%
1.4
⚠️ Potential Bias
Games
19
Win Rate
26.3%
Bias Score
-18.7%
16
#16S Hooper
33
27.3%
-17.7%
1.8
⚠️ Potential Bias
Games
33
Win Rate
27.3%
Bias Score
-17.7%
17
#17P Tierney
11
27.3%
-17.7%
1.6
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
18
#18R Madley
7
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
19
#19K Wright
7
28.6%
-16.4%
1.4
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
20
#20P Bankes
24
29.2%
-15.8%
2.2
⚠️ Potential Bias
Games
24
Win Rate
29.2%
Bias Score
-15.8%
21
#21J Linington
17
29.4%
-15.6%
1.1
⚠️ Potential Bias
Games
17
Win Rate
29.4%
Bias Score
-15.6%
22
#22J Moss
10
30.0%
-15.0%
0.7
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
23
#23G Salisbury
10
30.0%
-15.0%
1.3
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
24
#24M Thorpe
10
30.0%
-15.0%
1.5
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
25
#25J Gillett
12
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
26
#26T Kettle
9
33.3%
-11.7%
0.9
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
27
#27M Russell
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
28
#28A Penn
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
29
#29M Jones
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
30
#30M Fletcher
6
33.3%
-11.7%
2.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
31
#31D Coote
20
35.0%
-10.0%
1.9
⚠️ Potential Bias
Games
20
Win Rate
35.0%
Bias Score
-10.0%
32
#32G Ward
17
35.3%
-9.7%
1.4
📊 Neutral
Games
17
Win Rate
35.3%
Bias Score
-9.7%
33
#33D Whitestone
14
35.7%
-9.3%
1.1
📊 Neutral
Games
14
Win Rate
35.7%
Bias Score
-9.3%
34
#34R Beeby
8
37.5%
-7.5%
1.1
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
35
#35M Oliver
13
38.5%
-6.5%
1.6
📊 Neutral
Games
13
Win Rate
38.5%
Bias Score
-6.5%
36
#36D Webb
13
38.5%
-6.5%
1.0
📊 Neutral
Games
13
Win Rate
38.5%
Bias Score
-6.5%
37
#37A Madley
20
40.0%
-5.0%
1.9
📊 Neutral
Games
20
Win Rate
40.0%
Bias Score
-5.0%
38
#38G Eltringham
10
40.0%
-5.0%
1.5
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
39
#39K Hill
10
40.0%
-5.0%
2.3
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
40
#40S Mathieson
5
40.0%
-5.0%
0.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
41
#41C Oliver
5
40.0%
-5.0%
0.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
42
#42S Martin
12
41.7%
-3.3%
1.1
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
43
#43I Williamson
12
41.7%
-3.3%
1.3
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
44
#44G Scott
14
42.9%
-2.1%
1.4
📊 Neutral
Games
14
Win Rate
42.9%
Bias Score
-2.1%
45
#45D Bond
23
43.5%
-1.5%
1.4
📊 Neutral
Games
23
Win Rate
43.5%
Bias Score
-1.5%
46
#46J Brooks
16
43.8%
-1.3%
1.4
📊 Neutral
Games
16
Win Rate
43.8%
Bias Score
-1.3%
47
#47S Attwell
16
43.8%
-1.3%
1.3
📊 Neutral
Games
16
Win Rate
43.8%
Bias Score
-1.3%
48
#48D England
20
45.0%
0.0%
1.9
📊 Neutral
Games
20
Win Rate
45.0%
Bias Score
0.0%
49
#49R East
11
45.5%
+0.5%
0.9
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
50
#50A Woolmer
19
47.4%
+2.4%
1.2
📊 Neutral
Games
19
Win Rate
47.4%
Bias Score
+2.4%
51
#51T Harrington
16
50.0%
+5.0%
1.1
📊 Neutral
Games
16
Win Rate
50.0%
Bias Score
+5.0%
52
#52D Deadman
8
50.0%
+5.0%
2.5
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
53
#53A D'Urso
10
50.0%
+5.0%
2.0
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
54
#54A Hall
8
50.0%
+5.0%
1.3
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
55
#55P Joslin
6
50.0%
+5.0%
1.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
56
#56T Robinson
21
52.4%
+7.4%
1.7
📊 Neutral
Games
21
Win Rate
52.4%
Bias Score
+7.4%
57
#57D Phillips
9
55.6%
+10.6%
1.6
✅ Favorable
Games
9
Win Rate
55.6%
Bias Score
+10.6%
58
#58A Davies
14
57.1%
+12.1%
1.1
✅ Favorable
Games
14
Win Rate
57.1%
Bias Score
+12.1%
59
#59L Probert
7
57.1%
+12.1%
1.9
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
60
#60K Stroud
24
58.3%
+13.3%
1.6
✅ Favorable
Games
24
Win Rate
58.3%
Bias Score
+13.3%
61
#61D Drysdale
5
60.0%
+15.0%
1.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
62
#62A Haines
5
60.0%
+15.0%
1.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
63
#63G Sutton
5
60.0%
+15.0%
1.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
64
#64G Hegley
10
60.0%
+15.0%
0.7
✅ Favorable
Games
10
Win Rate
60.0%
Bias Score
+15.0%
65
#65R Olivier
5
60.0%
+15.0%
1.4
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
66
#66T Parkes
5
60.0%
+15.0%
1.4
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
67
#67C Pawson
8
62.5%
+17.5%
1.4
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
68
#68J Adcock
8
62.5%
+17.5%
1.3
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
69
#69N Miller
8
62.5%
+17.5%
1.5
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
70
#70A Taylor
11
63.6%
+18.6%
1.6
✅ Favorable
Games
11
Win Rate
63.6%
Bias Score
+18.6%
71
#71B Malone
6
66.7%
+21.7%
1.8
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
72
#72M Haywood
7
71.4%
+26.4%
1.0
✅ Favorable
Games
7
Win Rate
71.4%
Bias Score
+26.4%
73
#73G Horwood
7
71.4%
+26.4%
1.0
✅ Favorable
Games
7
Win Rate
71.4%
Bias Score
+26.4%
74
#74C Penton
7
71.4%
+26.4%
1.3
✅ Favorable
Games
7
Win Rate
71.4%
Bias Score
+26.4%
75
#75M Salisbury
8
75.0%
+30.0%
1.4
✅ Favorable
Games
8
Win Rate
75.0%
Bias Score
+30.0%
76
#76P Miller
9
77.8%
+32.8%
1.0
✅ Favorable
Games
9
Win Rate
77.8%
Bias Score
+32.8%
77
#77S Barrott
5
80.0%
+35.0%
2.0
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
78
#78A Bates
6
83.3%
+38.3%
1.7
✅ Favorable
Games
6
Win Rate
83.3%
Bias Score
+38.3%
79
#79M Donohue
7
85.7%
+40.7%
1.9
✅ Favorable
Games
7
Win Rate
85.7%
Bias Score
+40.7%
80
#80P Gibbs
5
100.0%
+55.0%
0.4
✅ Favorable
Games
5
Win Rate
100.0%
Bias Score
+55.0%
Note: Showing 80 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.