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⚽ Team Analysis
WiganReferee Analysis
Analysis of 191 referees across 1000 matches
191
Referees
1000
Matches
⚠️
Most Biased Against
W Finnie
Bias Score: -45.0%•4 games
✅
Most Favorable
C Wilkes
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Wigan examines 191 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. W Finnie ranks as the most biased against Wigan with a -45.0% bias score over 4 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
#1P Howard
5
0.0%
-45.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
2
#2M Haywood
5
0.0%
-45.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
3
#3U Rennie
7
0.0%
-45.0%
1.1
🚨 Strong Bias
Games
7
Win Rate
0.0%
Bias Score
-45.0%
4
#4M Donohue
7
14.3%
-30.7%
2.4
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
5
#5L Probert
20
15.0%
-30.0%
1.6
🚨 Strong Bias
Games
20
Win Rate
15.0%
Bias Score
-30.0%
6
#6G Eltringham
13
15.4%
-29.6%
1.4
🚨 Strong Bias
Games
13
Win Rate
15.4%
Bias Score
-29.6%
7
#7C Kavanagh
6
16.7%
-28.3%
2.0
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
8
#8M Halsey
6
16.7%
-28.3%
1.2
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
9
#9S Bennett
18
16.7%
-28.3%
2.1
🚨 Strong Bias
Games
18
Win Rate
16.7%
Bias Score
-28.3%
10
#10S Martin
17
17.6%
-27.4%
0.9
🚨 Strong Bias
Games
17
Win Rate
17.6%
Bias Score
-27.4%
11
#11A Woolmer
16
18.8%
-26.3%
1.4
🚨 Strong Bias
Games
16
Win Rate
18.8%
Bias Score
-26.3%
12
#12R Styles
16
18.8%
-26.3%
1.2
🚨 Strong Bias
Games
16
Win Rate
18.8%
Bias Score
-26.3%
13
#13D Drysdale
10
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
14
#14G Scott
5
20.0%
-25.0%
2.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
15
#15T Bramall
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
16
#16J Bell
5
20.0%
-25.0%
3.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
17
#17C Sarginson
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18R Madley
9
22.2%
-22.8%
2.2
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
19
#19K Stroud
17
23.5%
-21.5%
2.3
🚨 Strong Bias
Games
17
Win Rate
23.5%
Bias Score
-21.5%
20
#20P Walton
17
23.5%
-21.5%
1.4
🚨 Strong Bias
Games
17
Win Rate
23.5%
Bias Score
-21.5%
21
#21J Linington
12
25.0%
-20.0%
2.8
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
22
#22J Moss
8
25.0%
-20.0%
3.0
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
23
#23J Simpson
15
26.7%
-18.3%
2.3
⚠️ Potential Bias
Games
15
Win Rate
26.7%
Bias Score
-18.3%
24
#24D Coote
11
27.3%
-17.7%
2.3
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
25
#25M Riley
11
27.3%
-17.7%
1.2
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
26
#26M Jones
21
28.6%
-16.4%
1.4
⚠️ Potential Bias
Games
21
Win Rate
28.6%
Bias Score
-16.4%
27
#27M Atkinson
21
28.6%
-16.4%
1.4
⚠️ Potential Bias
Games
21
Win Rate
28.6%
Bias Score
-16.4%
28
#28M Oliver
7
28.6%
-16.4%
2.1
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
29
#29S Stockbridge
13
30.8%
-14.2%
1.9
⚠️ Potential Bias
Games
13
Win Rate
30.8%
Bias Score
-14.2%
30
#30A Wiley
16
31.3%
-13.8%
2.0
⚠️ Potential Bias
Games
16
Win Rate
31.3%
Bias Score
-13.8%
31
#31H Webb
22
31.8%
-13.2%
1.7
⚠️ Potential Bias
Games
22
Win Rate
31.8%
Bias Score
-13.2%
32
#32C Brook
6
33.3%
-11.7%
2.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
33
#33B Toner
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
34
#34D Whitestone
9
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
35
#35C Breakspear
6
33.3%
-11.7%
2.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
36
#36T Robinson
6
33.3%
-11.7%
0.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
37
#37D England
6
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
38
#38A Madley
9
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
39
#39S Hooper
9
33.3%
-11.7%
2.2
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
40
#40S Attwell
9
33.3%
-11.7%
2.1
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
41
#41N Swarbrick
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
42
#42A D'Urso
6
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
43
#43K Friend
12
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
44
#44A Taylor
6
33.3%
-11.7%
2.2
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
45
#45M Clattenburg
26
34.6%
-10.4%
1.7
⚠️ Potential Bias
Games
26
Win Rate
34.6%
Bias Score
-10.4%
46
#46A Marriner
20
35.0%
-10.0%
1.8
⚠️ Potential Bias
Games
20
Win Rate
35.0%
Bias Score
-10.0%
47
#47O Langford
14
35.7%
-9.3%
1.6
📊 Neutral
Games
14
Win Rate
35.7%
Bias Score
-9.3%
48
#48L Mason
11
36.4%
-8.6%
1.7
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
49
#49P Dowd
23
39.1%
-5.9%
1.9
📊 Neutral
Games
23
Win Rate
39.1%
Bias Score
-5.9%
50
#50J Busby
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
51
#51S Barrott
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
52
#52T Kettle
5
40.0%
-5.0%
1.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
53
#53J Brooks
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
54
#54S Tanner
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
55
#55G Poll
5
40.0%
-5.0%
2.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
56
#56A Davies
17
41.2%
-3.8%
1.8
📊 Neutral
Games
17
Win Rate
41.2%
Bias Score
-3.8%
57
#57A Backhouse
7
42.9%
-2.1%
2.4
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
58
#58R Joyce
9
44.4%
-0.6%
1.6
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
59
#59M Dean
24
45.8%
+0.8%
1.9
📊 Neutral
Games
24
Win Rate
45.8%
Bias Score
+0.8%
60
#60D Rock
6
50.0%
+5.0%
1.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
61
#61S Oldham
6
50.0%
+5.0%
2.2
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
62
#62T Nield
6
50.0%
+5.0%
2.5
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
63
#63G Ward
12
50.0%
+5.0%
2.8
📊 Neutral
Games
12
Win Rate
50.0%
Bias Score
+5.0%
64
#64R Beeby
6
50.0%
+5.0%
1.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
65
#65D Webb
16
56.3%
+11.3%
1.6
✅ Favorable
Games
16
Win Rate
56.3%
Bias Score
+11.3%
66
#66A Haines
7
57.1%
+12.1%
1.9
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
67
#67E Ilderton
7
57.1%
+12.1%
1.3
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
68
#68T Harrington
12
58.3%
+13.3%
1.7
✅ Favorable
Games
12
Win Rate
58.3%
Bias Score
+13.3%
69
#69A Herczeg
5
60.0%
+15.0%
2.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
70
#70M Edwards
5
60.0%
+15.0%
1.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
71
#71S Duncan
13
61.5%
+16.5%
1.9
✅ Favorable
Games
13
Win Rate
61.5%
Bias Score
+16.5%
72
#72M Coy
6
66.7%
+21.7%
2.3
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
73
#73N Miller
6
66.7%
+21.7%
1.3
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
74
#74C Boyeson
8
75.0%
+30.0%
1.9
✅ Favorable
Games
8
Win Rate
75.0%
Bias Score
+30.0%
Note: Showing 74 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.