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⚽ Team Analysis
SouthendReferee Analysis
Analysis of 246 referees across 1000 matches
246
Referees
1000
Matches
⚠️
Most Biased Against
H Blair
Bias Score: -45.0%•2 games
✅
Most Favorable
Paul Armstrong
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Southend examines 246 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. H Blair ranks as the most biased against Southend with a -45.0% bias score over 2 matches. Conversely, Paul Armstrong 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
#1B Toner
5
0.0%
-45.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
2
#2E Ilderton
9
0.0%
-45.0%
1.6
🚨 Strong Bias
Games
9
Win Rate
0.0%
Bias Score
-45.0%
3
#3R Booth
6
0.0%
-45.0%
2.0
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
4
#4T Robinson
8
12.5%
-32.5%
1.9
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
5
#5D Coote
7
14.3%
-30.7%
1.7
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
6
#6N Miller
7
14.3%
-30.7%
1.0
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
7
#7J Miles
6
16.7%
-28.3%
1.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
8
#8A Young
6
16.7%
-28.3%
1.2
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
9
#9B Huxtable
6
16.7%
-28.3%
1.0
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
10
#10G Rhodes
5
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
11
#11E Swallow
5
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
12
#12R Atkin
5
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
13
#13G Rollason
5
20.0%
-25.0%
2.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
14
#14A Davies
5
20.0%
-25.0%
2.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
15
#15D Webb
5
20.0%
-25.0%
2.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
16
#16D Handley
5
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
17
#17P Taylor
10
20.0%
-25.0%
1.7
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
18
#18C Boyeson
14
21.4%
-23.6%
1.6
🚨 Strong Bias
Games
14
Win Rate
21.4%
Bias Score
-23.6%
19
#19R Joyce
8
25.0%
-20.0%
2.3
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
20
#20C Hicks
8
25.0%
-20.0%
1.4
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
21
#21S Hooper
8
25.0%
-20.0%
1.9
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
22
#22C Penton
11
27.3%
-17.7%
1.6
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
23
#23K Johnson
14
28.6%
-16.4%
1.4
⚠️ Potential Bias
Games
14
Win Rate
28.6%
Bias Score
-16.4%
24
#24J Busby
7
28.6%
-16.4%
0.3
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
25
#25S Tanner
7
28.6%
-16.4%
1.3
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
26
#26P Melin
7
28.6%
-16.4%
0.7
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
27
#27D Whitestone
24
29.2%
-15.8%
1.3
⚠️ Potential Bias
Games
24
Win Rate
29.2%
Bias Score
-15.8%
28
#28A Jackson
6
33.3%
-11.7%
0.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
29
#29L Swabey
6
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
30
#30G Salisbury
12
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
31
#31A Haines
9
33.3%
-11.7%
2.1
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
32
#32I Williamson
12
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
33
#33D Drysdale
11
36.4%
-8.6%
2.0
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
34
#34K Stroud
11
36.4%
-8.6%
1.6
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
35
#35K Hill
11
36.4%
-8.6%
1.6
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
36
#36J Linington
8
37.5%
-7.5%
1.4
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
37
#37K Wright
8
37.5%
-7.5%
2.3
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
38
#38J Richardson
5
40.0%
-5.0%
2.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
39
#39C Breakspear
15
40.0%
-5.0%
1.7
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
40
#40G Parsons
5
40.0%
-5.0%
3.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
41
#41S Tallis
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
42
#42T Nield
5
40.0%
-5.0%
0.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
43
#43R East
10
40.0%
-5.0%
1.2
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
44
#44G Eltringham
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
45
#45D Deadman
10
40.0%
-5.0%
1.9
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
46
#46O Langford
5
40.0%
-5.0%
2.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
47
#47P Gibbs
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
48
#48K Evans
5
40.0%
-5.0%
2.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
49
#49C Sarginson
14
42.9%
-2.1%
2.0
📊 Neutral
Games
14
Win Rate
42.9%
Bias Score
-2.1%
50
#50G Scott
7
42.9%
-2.1%
1.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
51
#51M Thorpe
7
42.9%
-2.1%
0.7
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
52
#52P Armstrong
7
42.9%
-2.1%
1.4
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
53
#53M Russell
16
43.8%
-1.3%
0.7
📊 Neutral
Games
16
Win Rate
43.8%
Bias Score
-1.3%
54
#54B Malone
11
45.5%
+0.5%
1.2
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
55
#55A Ajibola
6
50.0%
+5.0%
1.5
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
56
#56P Marsden
6
50.0%
+5.0%
1.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
57
#57R Massey-Ellis
10
50.0%
+5.0%
2.0
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
58
#58L Collins
10
50.0%
+5.0%
2.1
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
59
#59T Kettle
24
50.0%
+5.0%
1.4
📊 Neutral
Games
24
Win Rate
50.0%
Bias Score
+5.0%
60
#60R Lewis
8
50.0%
+5.0%
0.9
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
61
#61S Martin
6
50.0%
+5.0%
0.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
62
#62A Coggins
6
50.0%
+5.0%
1.5
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
63
#63L Probert
8
50.0%
+5.0%
1.3
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
64
#64M Haywood
6
50.0%
+5.0%
1.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
65
#65S Mathieson
6
50.0%
+5.0%
1.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
66
#66D Phillips
6
50.0%
+5.0%
1.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
67
#67A Woolmer
17
52.9%
+7.9%
1.1
📊 Neutral
Games
17
Win Rate
52.9%
Bias Score
+7.9%
68
#68D Middleton
5
60.0%
+15.0%
1.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
69
#69P Tierney
5
60.0%
+15.0%
1.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
70
#70D Sheldrake
5
60.0%
+15.0%
1.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
71
#71P Miller
5
60.0%
+15.0%
1.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
72
#72M Brown
5
60.0%
+15.0%
1.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
73
#73P Crossley
5
60.0%
+15.0%
1.4
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
74
#74G Hegley
13
61.5%
+16.5%
0.8
✅ Favorable
Games
13
Win Rate
61.5%
Bias Score
+16.5%
75
#75A Dale
8
62.5%
+17.5%
1.3
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
76
#76S Mulhall
6
66.7%
+21.7%
1.8
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
77
#77S Parkinson
6
66.7%
+21.7%
1.3
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
78
#78P Johnson
6
66.7%
+21.7%
1.0
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
79
#79J Singh
6
66.7%
+21.7%
1.2
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
80
#80A Hall
6
66.7%
+21.7%
2.0
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
81
#81G Ward
13
69.2%
+24.2%
1.5
✅ Favorable
Games
13
Win Rate
69.2%
Bias Score
+24.2%
82
#82G Horwood
10
70.0%
+25.0%
1.8
✅ Favorable
Games
10
Win Rate
70.0%
Bias Score
+25.0%
Note: Showing 82 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.