⚽ Team Analysis
West HamReferee Analysis
Analysis of 112 referees across 996 matches
112
Referees
996
Matches
⚠️
Most Biased Against
A Kitchen
Bias Score: -45.0%•2 games
✅
Most Favorable
R Burton
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for West Ham examines 112 referees across 996 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 Kitchen ranks as the most biased against West Ham with a -45.0% bias score over 2 matches. Conversely, R Burton 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
#1P Durkin
9
11.1%
-33.9%
1.2
🚨 Strong Bias
Games
9
Win Rate
11.1%
Bias Score
-33.9%
2
#2U Rennie
8
12.5%
-32.5%
2.3
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
3
#3P Walton
17
17.6%
-27.4%
1.4
🚨 Strong Bias
Games
17
Win Rate
17.6%
Bias Score
-27.4%
4
#4A Marriner
39
17.9%
-27.1%
1.4
🚨 Strong Bias
Games
39
Win Rate
17.9%
Bias Score
-27.1%
5
#5P Dowd
27
18.5%
-26.5%
2.0
🚨 Strong Bias
Games
27
Win Rate
18.5%
Bias Score
-26.5%
6
#6T Harrington
5
20.0%
-25.0%
2.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
7
#7A Madley
10
20.0%
-25.0%
1.9
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
8
#8S Barrott
5
20.0%
-25.0%
3.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
9
#9N Swarbrick
15
20.0%
-25.0%
2.3
🚨 Strong Bias
Games
15
Win Rate
20.0%
Bias Score
-25.0%
10
#10S Tanner
5
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
11
#11J Winter
5
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
12
#12G Barber
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
13
#13L Mason
24
20.8%
-24.2%
1.7
🚨 Strong Bias
Games
24
Win Rate
20.8%
Bias Score
-24.2%
14
#14D Coote
13
23.1%
-21.9%
1.6
🚨 Strong Bias
Games
13
Win Rate
23.1%
Bias Score
-21.9%
15
#15M Oliver
43
23.3%
-21.7%
1.5
🚨 Strong Bias
Games
43
Win Rate
23.3%
Bias Score
-21.7%
16
#16C Foy
30
23.3%
-21.7%
1.4
🚨 Strong Bias
Games
30
Win Rate
23.3%
Bias Score
-21.7%
17
#17P Bankes
12
25.0%
-20.0%
1.7
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
18
#18D England
7
28.6%
-16.4%
1.3
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
19
#19S Attwell
24
29.2%
-15.8%
2.0
⚠️ Potential Bias
Games
24
Win Rate
29.2%
Bias Score
-15.8%
20
#20M Clattenburg
24
29.2%
-15.8%
1.8
⚠️ Potential Bias
Games
24
Win Rate
29.2%
Bias Score
-15.8%
21
#21J Moss
30
30.0%
-15.0%
1.8
⚠️ Potential Bias
Games
30
Win Rate
30.0%
Bias Score
-15.0%
22
#22M Dean
62
32.3%
-12.7%
2.1
⚠️ Potential Bias
Games
62
Win Rate
32.3%
Bias Score
-12.7%
23
#23J Brooks
6
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
24
#24L Probert
15
33.3%
-11.7%
0.8
⚠️ Potential Bias
Games
15
Win Rate
33.3%
Bias Score
-11.7%
25
#25A D'Urso
9
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
26
#26S Dunn
6
33.3%
-11.7%
2.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
27
#27P Jones
6
33.3%
-11.7%
2.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
28
#28M Riley
17
35.3%
-9.7%
2.4
📊 Neutral
Games
17
Win Rate
35.3%
Bias Score
-9.7%
29
#29G Poll
14
35.7%
-9.3%
1.5
📊 Neutral
Games
14
Win Rate
35.7%
Bias Score
-9.3%
30
#30A Wiley
25
36.0%
-9.0%
1.1
📊 Neutral
Games
25
Win Rate
36.0%
Bias Score
-9.0%
31
#31C Kavanagh
22
36.4%
-8.6%
1.4
📊 Neutral
Games
22
Win Rate
36.4%
Bias Score
-8.6%
32
#32P Tierney
16
37.5%
-7.5%
1.7
📊 Neutral
Games
16
Win Rate
37.5%
Bias Score
-7.5%
33
#33H Webb
26
38.5%
-6.5%
1.5
📊 Neutral
Games
26
Win Rate
38.5%
Bias Score
-6.5%
34
#34A Taylor
38
39.5%
-5.5%
1.7
📊 Neutral
Games
38
Win Rate
39.5%
Bias Score
-5.5%
35
#35K Stroud
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
36
#36R Beeby
5
40.0%
-5.0%
2.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
37
#37C Pawson
24
41.7%
-3.3%
1.8
📊 Neutral
Games
24
Win Rate
41.7%
Bias Score
-3.3%
38
#38D Gallagher
12
41.7%
-3.3%
1.3
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
39
#39M Salisbury
7
42.9%
-2.1%
1.7
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
40
#40K Friend
25
44.0%
-1.0%
1.3
📊 Neutral
Games
25
Win Rate
44.0%
Bias Score
-1.0%
41
#41M Halsey
18
44.4%
-0.6%
0.9
📊 Neutral
Games
18
Win Rate
44.4%
Bias Score
-0.6%
42
#42S Bennett
18
44.4%
-0.6%
1.9
📊 Neutral
Games
18
Win Rate
44.4%
Bias Score
-0.6%
43
#43S Hooper
11
45.5%
+0.5%
1.1
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
44
#44M Atkinson
55
45.5%
+0.5%
1.8
📊 Neutral
Games
55
Win Rate
45.5%
Bias Score
+0.5%
45
#45R Styles
15
46.7%
+1.7%
1.5
📊 Neutral
Games
15
Win Rate
46.7%
Bias Score
+1.7%
46
#46R Jones
8
50.0%
+5.0%
1.3
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
47
#47R East
8
50.0%
+5.0%
1.6
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
48
#48N Barry
8
50.0%
+5.0%
1.4
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
49
#49M Jones
17
52.9%
+7.9%
1.6
📊 Neutral
Games
17
Win Rate
52.9%
Bias Score
+7.9%
50
#50A Bates
5
60.0%
+15.0%
1.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
51
#51G Scott
13
61.5%
+16.5%
1.1
✅ Favorable
Games
13
Win Rate
61.5%
Bias Score
+16.5%
52
#52J Gillett
8
62.5%
+17.5%
1.5
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
53
#53R Madley
8
62.5%
+17.5%
2.0
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
Note: Showing 53 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.