⚽ Team Analysis
FulhamReferee Analysis
Analysis of 115 referees across 1000 matches
115
Referees
1000
Matches
⚠️
Most Biased Against
O Oliver
Bias Score: -45.0%•1 games
✅
Most Favorable
S Baines
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Fulham examines 115 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. O Oliver ranks as the most biased against Fulham with a -45.0% bias score over 1 matches. Conversely, S Baines 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
#1N Barry
8
0.0%
-45.0%
1.6
🚨 Strong Bias
Games
8
Win Rate
0.0%
Bias Score
-45.0%
2
#2C Pawson
12
8.3%
-36.7%
1.6
🚨 Strong Bias
Games
12
Win Rate
8.3%
Bias Score
-36.7%
3
#3J Moss
10
10.0%
-35.0%
1.3
🚨 Strong Bias
Games
10
Win Rate
10.0%
Bias Score
-35.0%
4
#4U Rennie
8
12.5%
-32.5%
1.0
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
5
#5S Bennett
21
14.3%
-30.7%
1.8
🚨 Strong Bias
Games
21
Win Rate
14.3%
Bias Score
-30.7%
6
#6A Marriner
25
16.0%
-29.0%
1.6
🚨 Strong Bias
Games
25
Win Rate
16.0%
Bias Score
-29.0%
7
#7N Swarbrick
6
16.7%
-28.3%
1.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
8
#8M Riley
17
17.6%
-27.4%
1.7
🚨 Strong Bias
Games
17
Win Rate
17.6%
Bias Score
-27.4%
9
#9R Jones
16
18.8%
-26.3%
2.0
🚨 Strong Bias
Games
16
Win Rate
18.8%
Bias Score
-26.3%
10
#10G Scott
10
20.0%
-25.0%
1.7
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
11
#11J Simpson
5
20.0%
-25.0%
2.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
12
#12D Bond
14
21.4%
-23.6%
1.7
🚨 Strong Bias
Games
14
Win Rate
21.4%
Bias Score
-23.6%
13
#13P Tierney
14
21.4%
-23.6%
1.4
🚨 Strong Bias
Games
14
Win Rate
21.4%
Bias Score
-23.6%
14
#14A Taylor
27
22.2%
-22.8%
1.1
🚨 Strong Bias
Games
27
Win Rate
22.2%
Bias Score
-22.8%
15
#15S Martin
9
22.2%
-22.8%
1.1
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
16
#16A D'Urso
9
22.2%
-22.8%
1.4
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
17
#17J Brooks
8
25.0%
-20.0%
2.3
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
18
#18P Durkin
8
25.0%
-20.0%
1.3
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
19
#19M Halsey
23
26.1%
-18.9%
1.0
⚠️ Potential Bias
Games
23
Win Rate
26.1%
Bias Score
-18.9%
20
#20C Kavanagh
15
26.7%
-18.3%
2.1
⚠️ Potential Bias
Games
15
Win Rate
26.7%
Bias Score
-18.3%
21
#21M Dean
33
27.3%
-17.7%
1.6
⚠️ Potential Bias
Games
33
Win Rate
27.3%
Bias Score
-17.7%
22
#22B Knight
7
28.6%
-16.4%
1.4
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
23
#23J Winter
7
28.6%
-16.4%
0.9
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
24
#24K Friend
24
29.2%
-15.8%
1.7
⚠️ Potential Bias
Games
24
Win Rate
29.2%
Bias Score
-15.8%
25
#25A Wiley
24
29.2%
-15.8%
1.3
⚠️ Potential Bias
Games
24
Win Rate
29.2%
Bias Score
-15.8%
26
#26R Styles
17
29.4%
-15.6%
1.5
⚠️ Potential Bias
Games
17
Win Rate
29.4%
Bias Score
-15.6%
27
#27P Walton
16
31.3%
-13.8%
1.4
⚠️ Potential Bias
Games
16
Win Rate
31.3%
Bias Score
-13.8%
28
#28H Webb
22
31.8%
-13.2%
1.6
⚠️ Potential Bias
Games
22
Win Rate
31.8%
Bias Score
-13.2%
29
#29M Clattenburg
22
31.8%
-13.2%
1.6
⚠️ Potential Bias
Games
22
Win Rate
31.8%
Bias Score
-13.2%
30
#30S Barrott
6
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
31
#31A Madley
18
33.3%
-11.7%
1.6
⚠️ Potential Bias
Games
18
Win Rate
33.3%
Bias Score
-11.7%
32
#32M Jones
18
33.3%
-11.7%
1.6
⚠️ Potential Bias
Games
18
Win Rate
33.3%
Bias Score
-11.7%
33
#33P Dowd
27
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
27
Win Rate
33.3%
Bias Score
-11.7%
34
#34L Mason
26
34.6%
-10.4%
1.3
⚠️ Potential Bias
Games
26
Win Rate
34.6%
Bias Score
-10.4%
35
#35D Coote
17
35.3%
-9.7%
1.8
📊 Neutral
Games
17
Win Rate
35.3%
Bias Score
-9.7%
36
#36L Probert
22
36.4%
-8.6%
1.4
📊 Neutral
Games
22
Win Rate
36.4%
Bias Score
-8.6%
37
#37G Poll
19
36.8%
-8.2%
1.5
📊 Neutral
Games
19
Win Rate
36.8%
Bias Score
-8.2%
38
#38S Attwell
21
38.1%
-6.9%
1.8
📊 Neutral
Games
21
Win Rate
38.1%
Bias Score
-6.9%
39
#39M Oliver
18
38.9%
-6.1%
1.7
📊 Neutral
Games
18
Win Rate
38.9%
Bias Score
-6.1%
40
#40D England
10
40.0%
-5.0%
2.3
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
41
#41G Eltringham
10
40.0%
-5.0%
1.9
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
42
#42E Wolstenholme
5
40.0%
-5.0%
2.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
43
#43M Atkinson
26
42.3%
-2.7%
1.4
📊 Neutral
Games
26
Win Rate
42.3%
Bias Score
-2.7%
44
#44M Messias
7
42.9%
-2.1%
1.4
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
45
#45K Stroud
17
47.1%
+2.1%
1.8
📊 Neutral
Games
17
Win Rate
47.1%
Bias Score
+2.1%
46
#46T Harrington
14
50.0%
+5.0%
1.8
📊 Neutral
Games
14
Win Rate
50.0%
Bias Score
+5.0%
47
#47T Bramall
6
50.0%
+5.0%
0.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
48
#48A Davies
8
50.0%
+5.0%
1.8
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
49
#49D Gallagher
12
50.0%
+5.0%
1.1
📊 Neutral
Games
12
Win Rate
50.0%
Bias Score
+5.0%
50
#50S Dunn
6
50.0%
+5.0%
2.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
51
#51G Barber
6
50.0%
+5.0%
2.0
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
52
#52C Foy
23
52.2%
+7.2%
1.3
📊 Neutral
Games
23
Win Rate
52.2%
Bias Score
+7.2%
53
#53P Bankes
19
52.6%
+7.6%
2.6
📊 Neutral
Games
19
Win Rate
52.6%
Bias Score
+7.6%
54
#54J Linington
15
53.3%
+8.3%
2.1
📊 Neutral
Games
15
Win Rate
53.3%
Bias Score
+8.3%
55
#55D Whitestone
7
57.1%
+12.1%
1.1
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
56
#56O Langford
7
57.1%
+12.1%
0.7
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
57
#57S Duncan
7
57.1%
+12.1%
0.9
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
58
#58S Hooper
19
57.9%
+12.9%
1.8
✅ Favorable
Games
19
Win Rate
57.9%
Bias Score
+12.9%
59
#59T Robinson
23
60.9%
+15.9%
1.6
✅ Favorable
Games
23
Win Rate
60.9%
Bias Score
+15.9%
60
#60J Smith
8
62.5%
+17.5%
1.8
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
61
#61A Woolmer
8
62.5%
+17.5%
1.6
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
62
#62D Webb
6
66.7%
+21.7%
1.2
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
63
#63M Salisbury
7
71.4%
+26.4%
1.4
✅ Favorable
Games
7
Win Rate
71.4%
Bias Score
+26.4%
64
#64J Gillett
9
77.8%
+32.8%
1.6
✅ Favorable
Games
9
Win Rate
77.8%
Bias Score
+32.8%
65
#65G Ward
6
83.3%
+38.3%
2.3
✅ Favorable
Games
6
Win Rate
83.3%
Bias Score
+38.3%
Note: Showing 65 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.