← Back to Home
⚽ Team Analysis
HullReferee Analysis
Analysis of 175 referees across 1000 matches
175
Referees
1000
Matches
⚠️
Most Biased Against
L Smith
Bias Score: -45.0%•1 games
✅
Most Favorable
C Wilkes
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Hull examines 175 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. L Smith ranks as the most biased against Hull with a -45.0% bias score over 1 matches. Conversely, C Wilkes 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 Swarbrick
10
0.0%
-45.0%
1.4
🚨 Strong Bias
Games
10
Win Rate
0.0%
Bias Score
-45.0%
2
#2B Curson
5
0.0%
-45.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
3
#3P Dowd
15
6.7%
-38.3%
1.7
🚨 Strong Bias
Games
15
Win Rate
6.7%
Bias Score
-38.3%
4
#4J Moss
13
7.7%
-37.3%
1.9
🚨 Strong Bias
Games
13
Win Rate
7.7%
Bias Score
-37.3%
5
#5A Taylor
10
10.0%
-35.0%
1.4
🚨 Strong Bias
Games
10
Win Rate
10.0%
Bias Score
-35.0%
6
#6A Wiley
7
14.3%
-30.7%
1.4
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
7
#7R Beeby
7
14.3%
-30.7%
2.3
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
8
#8C Pawson
6
16.7%
-28.3%
1.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
9
#9D England
6
16.7%
-28.3%
2.0
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
10
#10M Dean
18
16.7%
-28.3%
1.6
🚨 Strong Bias
Games
18
Win Rate
16.7%
Bias Score
-28.3%
11
#11D Deadman
6
16.7%
-28.3%
2.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
12
#12A Bates
6
16.7%
-28.3%
1.5
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
13
#13A Penn
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
14
#14J Linington
17
17.6%
-27.4%
1.5
🚨 Strong Bias
Games
17
Win Rate
17.6%
Bias Score
-27.4%
15
#15D Whitestone
16
18.8%
-26.3%
1.1
🚨 Strong Bias
Games
16
Win Rate
18.8%
Bias Score
-26.3%
16
#16D Webb
16
18.8%
-26.3%
1.3
🚨 Strong Bias
Games
16
Win Rate
18.8%
Bias Score
-26.3%
17
#17R Jones
5
20.0%
-25.0%
2.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18D Coote
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
19
#19S Attwell
10
20.0%
-25.0%
1.3
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
20
#20I Williamson
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
21
#21C Penton
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
22
#22D Bond
14
21.4%
-23.6%
0.9
🚨 Strong Bias
Games
14
Win Rate
21.4%
Bias Score
-23.6%
23
#23T Robinson
14
21.4%
-23.6%
1.7
🚨 Strong Bias
Games
14
Win Rate
21.4%
Bias Score
-23.6%
24
#24J Brooks
9
22.2%
-22.8%
1.8
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
25
#25P Walton
9
22.2%
-22.8%
2.2
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
26
#26S Martin
20
25.0%
-20.0%
1.1
🚨 Strong Bias
Games
20
Win Rate
25.0%
Bias Score
-20.0%
27
#27L Mason
20
25.0%
-20.0%
1.6
🚨 Strong Bias
Games
20
Win Rate
25.0%
Bias Score
-20.0%
28
#28A Marriner
19
26.3%
-18.7%
1.8
⚠️ Potential Bias
Games
19
Win Rate
26.3%
Bias Score
-18.7%
29
#29M Clattenburg
18
27.8%
-17.2%
1.2
⚠️ Potential Bias
Games
18
Win Rate
27.8%
Bias Score
-17.2%
30
#30T Nield
7
28.6%
-16.4%
2.7
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
31
#31A Madley
7
28.6%
-16.4%
1.3
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
32
#32L Probert
14
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
14
Win Rate
28.6%
Bias Score
-16.4%
33
#33G Laws
7
28.6%
-16.4%
1.7
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
34
#34M Thorpe
7
28.6%
-16.4%
1.0
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
35
#35M Atkinson
24
29.2%
-15.8%
1.9
⚠️ Potential Bias
Games
24
Win Rate
29.2%
Bias Score
-15.8%
36
#36J Simpson
17
29.4%
-15.6%
2.1
⚠️ Potential Bias
Games
17
Win Rate
29.4%
Bias Score
-15.6%
37
#37G Ward
19
31.6%
-13.4%
1.6
⚠️ Potential Bias
Games
19
Win Rate
31.6%
Bias Score
-13.4%
38
#38K Stroud
19
31.6%
-13.4%
1.9
⚠️ Potential Bias
Games
19
Win Rate
31.6%
Bias Score
-13.4%
39
#39A Kitchen
9
33.3%
-11.7%
1.1
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
40
#40M Oliver
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
41
#41A Woolmer
14
35.7%
-9.3%
2.0
📊 Neutral
Games
14
Win Rate
35.7%
Bias Score
-9.3%
42
#42N Miller
14
35.7%
-9.3%
1.0
📊 Neutral
Games
14
Win Rate
35.7%
Bias Score
-9.3%
43
#43R Madley
11
36.4%
-8.6%
1.8
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
44
#44P Bankes
8
37.5%
-7.5%
1.8
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
45
#45G Eltringham
16
37.5%
-7.5%
1.9
📊 Neutral
Games
16
Win Rate
37.5%
Bias Score
-7.5%
46
#46P Tierney
8
37.5%
-7.5%
1.4
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
47
#47S Mathieson
8
37.5%
-7.5%
1.6
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
48
#48T Harrington
13
38.5%
-6.5%
1.9
📊 Neutral
Games
13
Win Rate
38.5%
Bias Score
-6.5%
49
#49J Bell
5
40.0%
-5.0%
1.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
50
#50A Davies
10
40.0%
-5.0%
1.5
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
51
#51A D'Urso
10
40.0%
-5.0%
1.7
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
52
#52K Friend
12
41.7%
-3.3%
1.9
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
53
#53G Salisbury
12
41.7%
-3.3%
1.3
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
54
#54C Webster
12
41.7%
-3.3%
1.8
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
55
#55P Crossley
7
42.9%
-2.1%
1.0
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
56
#56B Toner
9
44.4%
-0.6%
2.3
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
57
#57G Scott
9
44.4%
-0.6%
1.0
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
58
#58H Webb
11
45.5%
+0.5%
1.2
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
59
#59L Doughty
12
50.0%
+5.0%
2.3
📊 Neutral
Games
12
Win Rate
50.0%
Bias Score
+5.0%
60
#60J Smith
10
50.0%
+5.0%
1.7
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
61
#61M Donohue
12
50.0%
+5.0%
1.3
📊 Neutral
Games
12
Win Rate
50.0%
Bias Score
+5.0%
62
#62J Busby
12
50.0%
+5.0%
2.1
📊 Neutral
Games
12
Win Rate
50.0%
Bias Score
+5.0%
63
#63K Hill
6
50.0%
+5.0%
0.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
64
#64S Tanner
8
50.0%
+5.0%
2.3
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
65
#65P Prosser
6
50.0%
+5.0%
2.2
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
66
#66M Jones
17
52.9%
+7.9%
1.9
📊 Neutral
Games
17
Win Rate
52.9%
Bias Score
+7.9%
67
#67S Duncan
7
57.1%
+12.1%
0.4
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
68
#68E Ilderton
12
58.3%
+13.3%
1.1
✅ Favorable
Games
12
Win Rate
58.3%
Bias Score
+13.3%
69
#69O Langford
22
59.1%
+14.1%
1.8
✅ Favorable
Games
22
Win Rate
59.1%
Bias Score
+14.1%
70
#70T Bramall
10
60.0%
+15.0%
0.9
✅ Favorable
Games
10
Win Rate
60.0%
Bias Score
+15.0%
71
#71T Kettle
5
60.0%
+15.0%
1.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
72
#72C Foy
10
60.0%
+15.0%
1.6
✅ Favorable
Games
10
Win Rate
60.0%
Bias Score
+15.0%
73
#73P Joslin
5
60.0%
+15.0%
1.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
74
#74A Backhouse
6
66.7%
+21.7%
2.0
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
75
#75S Hooper
7
71.4%
+26.4%
1.9
✅ Favorable
Games
7
Win Rate
71.4%
Bias Score
+26.4%
Note: Showing 75 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.