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⚽ Team Analysis
SwanseaReferee Analysis
Analysis of 158 referees across 1000 matches
158
Referees
1000
Matches
⚠️
Most Biased Against
A Kitchen
Bias Score: -45.0%•4 games
✅
Most Favorable
M Cooper
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Swansea examines 158 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 Kitchen ranks as the most biased against Swansea with a -45.0% bias score over 4 matches. Conversely, M Cooper 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
#1S Attwell
5
0.0%
-45.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
2
#2M Fletcher
5
0.0%
-45.0%
2.4
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
3
#3S Allison
8
12.5%
-32.5%
1.8
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
4
#4H Webb
8
12.5%
-32.5%
1.0
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
5
#5P Crossley
7
14.3%
-30.7%
2.3
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
6
#6J Gillett
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
7
#7N Miller
6
16.7%
-28.3%
0.7
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
8
#8P Dowd
14
21.4%
-23.6%
2.0
🚨 Strong Bias
Games
14
Win Rate
21.4%
Bias Score
-23.6%
9
#9L Mason
23
21.7%
-23.3%
1.3
🚨 Strong Bias
Games
23
Win Rate
21.7%
Bias Score
-23.3%
10
#10D Webb
24
25.0%
-20.0%
1.5
🚨 Strong Bias
Games
24
Win Rate
25.0%
Bias Score
-20.0%
11
#11R Madley
16
25.0%
-20.0%
1.9
🚨 Strong Bias
Games
16
Win Rate
25.0%
Bias Score
-20.0%
12
#12A Taylor
16
25.0%
-20.0%
1.7
🚨 Strong Bias
Games
16
Win Rate
25.0%
Bias Score
-20.0%
13
#13J Moss
28
25.0%
-20.0%
1.3
🚨 Strong Bias
Games
28
Win Rate
25.0%
Bias Score
-20.0%
14
#14M Dean
28
25.0%
-20.0%
1.5
🚨 Strong Bias
Games
28
Win Rate
25.0%
Bias Score
-20.0%
15
#15C Foy
8
25.0%
-20.0%
1.0
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
16
#16M Russell
8
25.0%
-20.0%
1.3
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
17
#17T Harrington
11
27.3%
-17.7%
1.6
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
18
#18N Swarbrick
21
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
21
Win Rate
28.6%
Bias Score
-16.4%
19
#19M Halsey
7
28.6%
-16.4%
0.7
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
20
#20D Deadman
7
28.6%
-16.4%
1.7
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
21
#21M Jones
20
30.0%
-15.0%
1.4
⚠️ Potential Bias
Games
20
Win Rate
30.0%
Bias Score
-15.0%
22
#22J Busby
15
33.3%
-11.7%
1.6
⚠️ Potential Bias
Games
15
Win Rate
33.3%
Bias Score
-11.7%
23
#23O Langford
18
33.3%
-11.7%
2.4
⚠️ Potential Bias
Games
18
Win Rate
33.3%
Bias Score
-11.7%
24
#24J Simpson
9
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
25
#25M Donohue
12
33.3%
-11.7%
2.2
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
26
#26M Atkinson
18
33.3%
-11.7%
1.4
⚠️ Potential Bias
Games
18
Win Rate
33.3%
Bias Score
-11.7%
27
#27A Penn
6
33.3%
-11.7%
0.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
28
#28M Oliver
26
34.6%
-10.4%
1.3
⚠️ Potential Bias
Games
26
Win Rate
34.6%
Bias Score
-10.4%
29
#29R East
17
35.3%
-9.7%
1.1
📊 Neutral
Games
17
Win Rate
35.3%
Bias Score
-9.7%
30
#30S Mathieson
11
36.4%
-8.6%
0.8
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
31
#31D Whitestone
16
37.5%
-7.5%
1.5
📊 Neutral
Games
16
Win Rate
37.5%
Bias Score
-7.5%
32
#32S Hooper
8
37.5%
-7.5%
1.8
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
33
#33A Woolmer
18
38.9%
-6.1%
1.7
📊 Neutral
Games
18
Win Rate
38.9%
Bias Score
-6.1%
34
#34T Nield
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
35
#35K Hill
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
36
#36R Beeby
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
37
#37R Jones
7
42.9%
-2.1%
0.7
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
38
#38J Brooks
7
42.9%
-2.1%
1.4
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
39
#39A Hall
7
42.9%
-2.1%
2.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
40
#40P Taylor
7
42.9%
-2.1%
2.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
41
#41K Friend
23
43.5%
-1.5%
1.8
📊 Neutral
Games
23
Win Rate
43.5%
Bias Score
-1.5%
42
#42J Linington
16
43.8%
-1.3%
1.3
📊 Neutral
Games
16
Win Rate
43.8%
Bias Score
-1.3%
43
#43J Smith
9
44.4%
-0.6%
2.1
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
44
#44S Martin
18
44.4%
-0.6%
1.6
📊 Neutral
Games
18
Win Rate
44.4%
Bias Score
-0.6%
45
#45P Bankes
9
44.4%
-0.6%
1.9
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
46
#46G Scott
9
44.4%
-0.6%
1.8
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
47
#47C Penton
9
44.4%
-0.6%
2.1
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
48
#48K Stroud
31
45.2%
+0.2%
1.9
📊 Neutral
Games
31
Win Rate
45.2%
Bias Score
+0.2%
49
#49M Clattenburg
11
45.5%
+0.5%
1.3
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
50
#50A Backhouse
6
50.0%
+5.0%
1.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
51
#51G Ward
14
50.0%
+5.0%
1.4
📊 Neutral
Games
14
Win Rate
50.0%
Bias Score
+5.0%
52
#52G Eltringham
14
50.0%
+5.0%
1.5
📊 Neutral
Games
14
Win Rate
50.0%
Bias Score
+5.0%
53
#53C Pawson
12
50.0%
+5.0%
1.1
📊 Neutral
Games
12
Win Rate
50.0%
Bias Score
+5.0%
54
#54A Marriner
26
50.0%
+5.0%
1.6
📊 Neutral
Games
26
Win Rate
50.0%
Bias Score
+5.0%
55
#55L Probert
14
50.0%
+5.0%
1.0
📊 Neutral
Games
14
Win Rate
50.0%
Bias Score
+5.0%
56
#56S Tanner
14
50.0%
+5.0%
1.9
📊 Neutral
Games
14
Win Rate
50.0%
Bias Score
+5.0%
57
#57G Hegley
6
50.0%
+5.0%
0.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
58
#58A Davies
13
53.8%
+8.8%
1.1
📊 Neutral
Games
13
Win Rate
53.8%
Bias Score
+8.8%
59
#59P Tierney
7
57.1%
+12.1%
1.3
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
60
#60A Bates
7
57.1%
+12.1%
1.7
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
61
#61P Armstrong
7
57.1%
+12.1%
0.9
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
62
#62L Doughty
5
60.0%
+15.0%
2.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
63
#63B Toner
5
60.0%
+15.0%
2.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
64
#64T Kettle
5
60.0%
+15.0%
2.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
65
#65D Bond
9
66.7%
+21.7%
1.9
✅ Favorable
Games
9
Win Rate
66.7%
Bias Score
+21.7%
66
#66T Robinson
5
80.0%
+35.0%
2.8
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
67
#67R Olivier
6
83.3%
+38.3%
1.5
✅ Favorable
Games
6
Win Rate
83.3%
Bias Score
+38.3%
68
#68F Graham
7
85.7%
+40.7%
1.6
✅ Favorable
Games
7
Win Rate
85.7%
Bias Score
+40.7%
69
#69I Williamson
7
85.7%
+40.7%
2.1
✅ Favorable
Games
7
Win Rate
85.7%
Bias Score
+40.7%
Note: Showing 69 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.