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⚽ Team Analysis
BirminghamReferee Analysis
Analysis of 172 referees across 1000 matches
172
Referees
1000
Matches
⚠️
Most Biased Against
T Nield
Bias Score: -45.0%•1 games
✅
Most Favorable
Jones, M. J.
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Birmingham examines 172 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. T Nield ranks as the most biased against Birmingham with a -45.0% bias score over 1 matches. Conversely, Jones, M. J. 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
#1M Salisbury
5
0.0%
-45.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
2
#2J Gillett
6
0.0%
-45.0%
2.3
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
3
#3D Coote
6
0.0%
-45.0%
1.2
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
4
#4G Poll
10
10.0%
-35.0%
1.8
🚨 Strong Bias
Games
10
Win Rate
10.0%
Bias Score
-35.0%
5
#5S Hooper
17
11.8%
-33.2%
1.7
🚨 Strong Bias
Games
17
Win Rate
11.8%
Bias Score
-33.2%
6
#6J Brooks
8
12.5%
-32.5%
1.8
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
7
#7A Woolmer
15
13.3%
-31.7%
1.6
🚨 Strong Bias
Games
15
Win Rate
13.3%
Bias Score
-31.7%
8
#8M Clattenburg
15
13.3%
-31.7%
1.4
🚨 Strong Bias
Games
15
Win Rate
13.3%
Bias Score
-31.7%
9
#9P Bankes
14
14.3%
-30.7%
1.9
🚨 Strong Bias
Games
14
Win Rate
14.3%
Bias Score
-30.7%
10
#10A Davies
20
15.0%
-30.0%
1.1
🚨 Strong Bias
Games
20
Win Rate
15.0%
Bias Score
-30.0%
11
#11M Donohue
13
15.4%
-29.6%
2.3
🚨 Strong Bias
Games
13
Win Rate
15.4%
Bias Score
-29.6%
12
#12M Haywood
6
16.7%
-28.3%
1.0
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
13
#13D Gallagher
12
16.7%
-28.3%
1.1
🚨 Strong Bias
Games
12
Win Rate
16.7%
Bias Score
-28.3%
14
#14K Stroud
28
17.9%
-27.1%
2.3
🚨 Strong Bias
Games
28
Win Rate
17.9%
Bias Score
-27.1%
15
#15A Madley
11
18.2%
-26.8%
1.9
🚨 Strong Bias
Games
11
Win Rate
18.2%
Bias Score
-26.8%
16
#16D Webb
21
19.0%
-26.0%
1.7
🚨 Strong Bias
Games
21
Win Rate
19.0%
Bias Score
-26.0%
17
#17J Adcock
5
20.0%
-25.0%
2.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18H Webb
15
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
15
Win Rate
20.0%
Bias Score
-25.0%
19
#19B Knight
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
20
#20S Dunn
5
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
21
#21N Barry
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
22
#22D England
9
22.2%
-22.8%
1.9
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
23
#23M Dean
18
22.2%
-22.8%
1.5
🚨 Strong Bias
Games
18
Win Rate
22.2%
Bias Score
-22.8%
24
#24P Tierney
9
22.2%
-22.8%
2.0
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
25
#25G Scott
12
25.0%
-20.0%
2.3
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
26
#26C Kavanagh
8
25.0%
-20.0%
1.8
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
27
#27P Walton
15
26.7%
-18.3%
1.5
⚠️ Potential Bias
Games
15
Win Rate
26.7%
Bias Score
-18.3%
28
#28S Martin
22
27.3%
-17.7%
1.7
⚠️ Potential Bias
Games
22
Win Rate
27.3%
Bias Score
-17.7%
29
#29M Atkinson
11
27.3%
-17.7%
2.3
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
30
#30J Simpson
18
27.8%
-17.2%
1.7
⚠️ Potential Bias
Games
18
Win Rate
27.8%
Bias Score
-17.2%
31
#31R Madley
7
28.6%
-16.4%
1.4
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
32
#32K Friend
10
30.0%
-15.0%
2.1
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
33
#33S Bennett
20
30.0%
-15.0%
1.6
⚠️ Potential Bias
Games
20
Win Rate
30.0%
Bias Score
-15.0%
34
#34R Styles
16
31.3%
-13.8%
1.6
⚠️ Potential Bias
Games
16
Win Rate
31.3%
Bias Score
-13.8%
35
#35G Ward
21
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
21
Win Rate
33.3%
Bias Score
-11.7%
36
#36R Jones
6
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
37
#37L Doughty
6
33.3%
-11.7%
2.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
38
#38P Dowd
21
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
21
Win Rate
33.3%
Bias Score
-11.7%
39
#39M Riley
12
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
40
#40C Foy
20
35.0%
-10.0%
1.6
⚠️ Potential Bias
Games
20
Win Rate
35.0%
Bias Score
-10.0%
41
#41D Whitestone
14
35.7%
-9.3%
1.6
📊 Neutral
Games
14
Win Rate
35.7%
Bias Score
-9.3%
42
#42M Jones
13
38.5%
-6.5%
1.5
📊 Neutral
Games
13
Win Rate
38.5%
Bias Score
-6.5%
43
#43T Kirk
5
40.0%
-5.0%
2.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
44
#44D Drysdale
5
40.0%
-5.0%
0.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
45
#45L Mason
10
40.0%
-5.0%
2.2
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
46
#46R East
10
40.0%
-5.0%
2.2
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
47
#47L Probert
15
40.0%
-5.0%
1.5
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
48
#48S Attwell
5
40.0%
-5.0%
2.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
49
#49I Williamson
5
40.0%
-5.0%
2.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
50
#50M Russell
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
51
#51M Oliver
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
52
#52S Tanner
5
40.0%
-5.0%
1.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
53
#53M Halsey
17
41.2%
-3.8%
1.5
📊 Neutral
Games
17
Win Rate
41.2%
Bias Score
-3.8%
54
#54O Langford
12
41.7%
-3.3%
1.8
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
55
#55D Bond
24
41.7%
-3.3%
1.5
📊 Neutral
Games
24
Win Rate
41.7%
Bias Score
-3.3%
56
#56J Smith
7
42.9%
-2.1%
2.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
57
#57J Linington
16
43.8%
-1.3%
2.1
📊 Neutral
Games
16
Win Rate
43.8%
Bias Score
-1.3%
58
#58T Harrington
18
44.4%
-0.6%
1.4
📊 Neutral
Games
18
Win Rate
44.4%
Bias Score
-0.6%
59
#59J Moss
9
44.4%
-0.6%
1.2
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
60
#60A D'Urso
9
44.4%
-0.6%
2.1
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
61
#61S Duncan
11
45.5%
+0.5%
1.8
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
62
#62J Busby
8
50.0%
+5.0%
1.9
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
63
#63T Robinson
22
50.0%
+5.0%
2.0
📊 Neutral
Games
22
Win Rate
50.0%
Bias Score
+5.0%
64
#64M Brown
6
50.0%
+5.0%
1.2
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
65
#65A Taylor
6
50.0%
+5.0%
2.0
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
66
#66U Rennie
11
54.5%
+9.5%
1.6
📊 Neutral
Games
11
Win Rate
54.5%
Bias Score
+9.5%
67
#67G Eltringham
13
61.5%
+16.5%
1.5
✅ Favorable
Games
13
Win Rate
61.5%
Bias Score
+16.5%
68
#68N Miller
7
71.4%
+26.4%
1.1
✅ Favorable
Games
7
Win Rate
71.4%
Bias Score
+26.4%
69
#69B Toner
5
80.0%
+35.0%
2.6
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
70
#70K Wright
5
80.0%
+35.0%
1.4
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
Note: Showing 70 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.