← Back to Home
⚽ Team Analysis
MorecambeReferee Analysis
Analysis of 224 referees across 886 matches
224
Referees
886
Matches
⚠️
Most Biased Against
H Wager
Bias Score: -45.0%•1 games
✅
Most Favorable
M Short
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Morecambe examines 224 referees across 886 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. H Wager ranks as the most biased against Morecambe with a -45.0% bias score over 1 matches. Conversely, M Short 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
#1A Young
7
0.0%
-45.0%
2.6
🚨 Strong Bias
Games
7
Win Rate
0.0%
Bias Score
-45.0%
2
#2D Webb
10
0.0%
-45.0%
0.9
🚨 Strong Bias
Games
10
Win Rate
0.0%
Bias Score
-45.0%
3
#3G Salisbury
6
0.0%
-45.0%
1.7
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
4
#4G Horwood
5
0.0%
-45.0%
2.2
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
5
#5G Ward
11
9.1%
-35.9%
2.2
🚨 Strong Bias
Games
11
Win Rate
9.1%
Bias Score
-35.9%
6
#6S Oldham
9
11.1%
-33.9%
1.3
🚨 Strong Bias
Games
9
Win Rate
11.1%
Bias Score
-33.9%
7
#7M Coy
9
11.1%
-33.9%
1.4
🚨 Strong Bias
Games
9
Win Rate
11.1%
Bias Score
-33.9%
8
#8F Graham
8
12.5%
-32.5%
1.1
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
9
#9M Heywood
7
14.3%
-30.7%
1.4
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
10
#10R Clark
7
14.3%
-30.7%
1.4
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
11
#11D Deadman
7
14.3%
-30.7%
1.6
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
12
#12P Gibbs
7
14.3%
-30.7%
0.7
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
13
#13S Mathieson
7
14.3%
-30.7%
0.9
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
14
#14T Kettle
13
15.4%
-29.6%
1.8
🚨 Strong Bias
Games
13
Win Rate
15.4%
Bias Score
-29.6%
15
#15J Oldham
6
16.7%
-28.3%
2.2
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
16
#16L Swabey
6
16.7%
-28.3%
2.7
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
17
#17S Duncan
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
18
#18O Yates
10
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
19
#19S Purkiss
5
20.0%
-25.0%
2.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
20
#20T Nield
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
21
#21N Hair
5
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
22
#22D Rock
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
23
#23P Bankes
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
24
#24J Adcock
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
25
#25G Sutton
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
26
#26A Bates
5
20.0%
-25.0%
0.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
27
#27B Speedie
9
22.2%
-22.8%
2.3
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
28
#28D Whitestone
9
22.2%
-22.8%
1.1
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
29
#29B Toner
13
23.1%
-21.9%
1.5
🚨 Strong Bias
Games
13
Win Rate
23.1%
Bias Score
-21.9%
30
#30M Haywood
13
23.1%
-21.9%
0.8
🚨 Strong Bias
Games
13
Win Rate
23.1%
Bias Score
-21.9%
31
#31J Busby
8
25.0%
-20.0%
1.1
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
32
#32A Haines
20
25.0%
-20.0%
1.0
🚨 Strong Bias
Games
20
Win Rate
25.0%
Bias Score
-20.0%
33
#33D Drysdale
15
26.7%
-18.3%
1.9
⚠️ Potential Bias
Games
15
Win Rate
26.7%
Bias Score
-18.3%
34
#34D Handley
11
27.3%
-17.7%
2.2
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
35
#35N Miller
11
27.3%
-17.7%
1.6
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
36
#36R Madley
7
28.6%
-16.4%
2.1
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
37
#37S Martin
7
28.6%
-16.4%
1.3
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
38
#38O Langford
10
30.0%
-15.0%
1.5
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
39
#39A Backhouse
10
30.0%
-15.0%
1.7
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
40
#40R Joyce
16
31.3%
-13.8%
1.4
⚠️ Potential Bias
Games
16
Win Rate
31.3%
Bias Score
-13.8%
41
#41W Finnie
6
33.3%
-11.7%
0.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
42
#42P Wright
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
43
#43C Sarginson
15
33.3%
-11.7%
1.1
⚠️ Potential Bias
Games
15
Win Rate
33.3%
Bias Score
-11.7%
44
#44N Kinseley
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
45
#45L Collins
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
46
#46B Malone
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
47
#47M Brown
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
48
#48S Attwell
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
49
#49C Webster
6
33.3%
-11.7%
0.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
50
#50J Moss
6
33.3%
-11.7%
1.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
51
#51M Oliver
9
33.3%
-11.7%
0.9
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
52
#52R Lewis
14
35.7%
-9.3%
1.4
📊 Neutral
Games
14
Win Rate
35.7%
Bias Score
-9.3%
53
#53E Ilderton
11
36.4%
-8.6%
0.9
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
54
#54S Stockbridge
16
37.5%
-7.5%
1.6
📊 Neutral
Games
16
Win Rate
37.5%
Bias Score
-7.5%
55
#55A Davies
5
40.0%
-5.0%
1.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
56
#56T Harrington
5
40.0%
-5.0%
1.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
57
#57C Pawson
5
40.0%
-5.0%
0.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
58
#58D McDermid
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
59
#59P Quinn
5
40.0%
-5.0%
0.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
60
#60P Howard
7
42.9%
-2.1%
1.7
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
61
#61C Boyeson
14
42.9%
-2.1%
1.4
📊 Neutral
Games
14
Win Rate
42.9%
Bias Score
-2.1%
62
#62D Coote
7
42.9%
-2.1%
1.4
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
63
#63M Edwards
11
45.5%
+0.5%
1.6
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
64
#64P Marsden
6
50.0%
+5.0%
2.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
65
#65D Bourne
6
50.0%
+5.0%
2.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
66
#66C Hicks
8
50.0%
+5.0%
1.8
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
67
#67C Breakspear
8
50.0%
+5.0%
2.5
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
68
#68P Miller
6
50.0%
+5.0%
1.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
69
#69G Eltringham
11
63.6%
+18.6%
1.0
✅ Favorable
Games
11
Win Rate
63.6%
Bias Score
+18.6%
70
#70K Evans
9
77.8%
+32.8%
1.3
✅ Favorable
Games
9
Win Rate
77.8%
Bias Score
+32.8%
71
#71A D'Urso
5
80.0%
+35.0%
2.0
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
72
#72J Waugh
5
100.0%
+55.0%
0.8
✅ Favorable
Games
5
Win Rate
100.0%
Bias Score
+55.0%
Note: Showing 72 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.