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⚽ Team Analysis
HuddersfieldReferee Analysis
Analysis of 185 referees across 1000 matches
185
Referees
1000
Matches
⚠️
Most Biased Against
A Byrne
Bias Score: -45.0%•1 games
✅
Most Favorable
J Winter
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Huddersfield examines 185 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 Byrne ranks as the most biased against Huddersfield with a -45.0% bias score over 1 matches. Conversely, J Winter 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
#1J Gillett
5
0.0%
-45.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
2
#2A Marriner
5
0.0%
-45.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
3
#3A Bates
5
0.0%
-45.0%
0.6
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
4
#4J Smith
7
14.3%
-30.7%
1.9
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
5
#5K Friend
13
15.4%
-29.6%
1.2
🚨 Strong Bias
Games
13
Win Rate
15.4%
Bias Score
-29.6%
6
#6B Toner
6
16.7%
-28.3%
1.2
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
7
#7G Scott
12
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
12
Win Rate
16.7%
Bias Score
-28.3%
8
#8M Dean
6
16.7%
-28.3%
1.7
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
9
#9A D'Urso
6
16.7%
-28.3%
1.5
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
10
#10M Pike
6
16.7%
-28.3%
1.0
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
11
#11P Joslin
6
16.7%
-28.3%
2.0
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
12
#12S Oldham
5
20.0%
-25.0%
2.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
13
#13J Adcock
5
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
14
#14B Malone
5
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
15
#15G Sutton
5
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
16
#16M Thorpe
5
20.0%
-25.0%
0.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
17
#17P Armstrong
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18G Laws
9
22.2%
-22.8%
1.2
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
19
#19M Russell
12
25.0%
-20.0%
0.9
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
20
#20L Mason
12
25.0%
-20.0%
1.4
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
21
#21L Doughty
11
27.3%
-17.7%
2.3
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
22
#22S Hooper
11
27.3%
-17.7%
1.6
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
23
#23S Mathieson
11
27.3%
-17.7%
1.4
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
24
#24J Moss
7
28.6%
-16.4%
1.7
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
25
#25A Hall
7
28.6%
-16.4%
1.3
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
26
#26T Robinson
10
30.0%
-15.0%
1.7
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
27
#27A Taylor
10
30.0%
-15.0%
1.1
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
28
#28N Swarbrick
10
30.0%
-15.0%
2.1
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
29
#29D Bond
13
30.8%
-14.2%
1.5
⚠️ Potential Bias
Games
13
Win Rate
30.8%
Bias Score
-14.2%
30
#30M Donohue
16
31.3%
-13.8%
1.5
⚠️ Potential Bias
Games
16
Win Rate
31.3%
Bias Score
-13.8%
31
#31S Martin
15
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
15
Win Rate
33.3%
Bias Score
-11.7%
32
#32O Langford
18
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
18
Win Rate
33.3%
Bias Score
-11.7%
33
#33J Simpson
18
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
18
Win Rate
33.3%
Bias Score
-11.7%
34
#34C Pawson
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
35
#35M Oliver
12
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
36
#36F Graham
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
37
#37C Sarginson
6
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
38
#38S Tanner
9
33.3%
-11.7%
1.4
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
39
#39A Penn
6
33.3%
-11.7%
0.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
40
#40K Stroud
14
35.7%
-9.3%
1.6
📊 Neutral
Games
14
Win Rate
35.7%
Bias Score
-9.3%
41
#41D Webb
25
36.0%
-9.0%
1.3
📊 Neutral
Games
25
Win Rate
36.0%
Bias Score
-9.0%
42
#42R East
11
36.4%
-8.6%
2.0
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
43
#43A Woolmer
16
37.5%
-7.5%
1.8
📊 Neutral
Games
16
Win Rate
37.5%
Bias Score
-7.5%
44
#44I Williamson
8
37.5%
-7.5%
2.0
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
45
#45N Miller
16
37.5%
-7.5%
1.6
📊 Neutral
Games
16
Win Rate
37.5%
Bias Score
-7.5%
46
#46A Davies
13
38.5%
-6.5%
1.8
📊 Neutral
Games
13
Win Rate
38.5%
Bias Score
-6.5%
47
#47G Ward
18
38.9%
-6.1%
1.7
📊 Neutral
Games
18
Win Rate
38.9%
Bias Score
-6.1%
48
#48S Stockbridge
5
40.0%
-5.0%
2.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
49
#49D England
5
40.0%
-5.0%
2.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
50
#50L Probert
10
40.0%
-5.0%
1.7
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
51
#51P Crossley
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
52
#52G Hegley
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
53
#53D Foster
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
54
#54R Beeby
5
40.0%
-5.0%
1.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
55
#55P Robinson
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
56
#56J Linington
22
40.9%
-4.1%
2.0
📊 Neutral
Games
22
Win Rate
40.9%
Bias Score
-4.1%
57
#57P Tierney
12
41.7%
-3.3%
1.6
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
58
#58G Salisbury
12
41.7%
-3.3%
1.8
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
59
#59C Kavanagh
14
42.9%
-2.1%
1.9
📊 Neutral
Games
14
Win Rate
42.9%
Bias Score
-2.1%
60
#60P Bankes
7
42.9%
-2.1%
1.9
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
61
#61C Boyeson
14
42.9%
-2.1%
1.9
📊 Neutral
Games
14
Win Rate
42.9%
Bias Score
-2.1%
62
#62D Whitestone
18
44.4%
-0.6%
1.6
📊 Neutral
Games
18
Win Rate
44.4%
Bias Score
-0.6%
63
#63G Eltringham
18
44.4%
-0.6%
1.6
📊 Neutral
Games
18
Win Rate
44.4%
Bias Score
-0.6%
64
#64D Coote
9
44.4%
-0.6%
1.9
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
65
#65M Jones
9
44.4%
-0.6%
2.4
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
66
#66K Hill
9
44.4%
-0.6%
2.2
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
67
#67D Drysdale
11
45.5%
+0.5%
1.8
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
68
#68J Busby
6
50.0%
+5.0%
1.0
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
69
#69T Harrington
10
50.0%
+5.0%
1.4
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
70
#70K Wright
8
50.0%
+5.0%
1.5
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
71
#71A Haines
8
50.0%
+5.0%
1.8
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
72
#72E Ilderton
17
52.9%
+7.9%
1.6
📊 Neutral
Games
17
Win Rate
52.9%
Bias Score
+7.9%
73
#73D Deadman
12
58.3%
+13.3%
2.2
✅ Favorable
Games
12
Win Rate
58.3%
Bias Score
+13.3%
74
#74T Kettle
12
58.3%
+13.3%
2.0
✅ Favorable
Games
12
Win Rate
58.3%
Bias Score
+13.3%
75
#75P Miller
5
60.0%
+15.0%
1.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
76
#76J Singh
5
60.0%
+15.0%
1.4
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
77
#77S Attwell
13
61.5%
+16.5%
1.7
✅ Favorable
Games
13
Win Rate
61.5%
Bias Score
+16.5%
78
#78C Webster
12
66.7%
+21.7%
1.3
✅ Favorable
Games
12
Win Rate
66.7%
Bias Score
+21.7%
79
#79R Jones
8
75.0%
+30.0%
1.9
✅ Favorable
Games
8
Win Rate
75.0%
Bias Score
+30.0%
Note: Showing 79 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.