⚽ Team Analysis
SunderlandReferee Analysis
Analysis of 136 referees across 1000 matches
136
Referees
1000
Matches
⚠️
Most Biased Against
S Attwell
Bias Score: -45.0%•12 games
✅
Most Favorable
P Danson
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Sunderland examines 136 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. S Attwell ranks as the most biased against Sunderland with a -45.0% bias score over 12 matches. Conversely, P Danson 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
12
0.0%
-45.0%
2.4
🚨 Strong Bias
Games
12
Win Rate
0.0%
Bias Score
-45.0%
2
#2R East
8
0.0%
-45.0%
1.6
🚨 Strong Bias
Games
8
Win Rate
0.0%
Bias Score
-45.0%
3
#3R Styles
18
5.6%
-39.4%
1.8
🚨 Strong Bias
Games
18
Win Rate
5.6%
Bias Score
-39.4%
4
#4S Bennett
16
12.5%
-32.5%
2.9
🚨 Strong Bias
Games
16
Win Rate
12.5%
Bias Score
-32.5%
5
#5C Pawson
14
14.3%
-30.7%
2.0
🚨 Strong Bias
Games
14
Win Rate
14.3%
Bias Score
-30.7%
6
#6C Hicks
7
14.3%
-30.7%
1.3
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
7
#7C Foy
35
14.3%
-30.7%
1.6
🚨 Strong Bias
Games
35
Win Rate
14.3%
Bias Score
-30.7%
8
#8M Pike
6
16.7%
-28.3%
1.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
9
#9M Atkinson
40
17.5%
-27.5%
1.5
🚨 Strong Bias
Games
40
Win Rate
17.5%
Bias Score
-27.5%
10
#10K Friend
21
19.0%
-26.0%
1.8
🚨 Strong Bias
Games
21
Win Rate
19.0%
Bias Score
-26.0%
11
#11G Ward
10
20.0%
-25.0%
2.1
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
12
#12G Scott
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
13
#13D England
9
22.2%
-22.8%
3.3
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
14
#14A Wiley
18
22.2%
-22.8%
1.3
🚨 Strong Bias
Games
18
Win Rate
22.2%
Bias Score
-22.8%
15
#15P Dowd
35
22.9%
-22.1%
2.3
🚨 Strong Bias
Games
35
Win Rate
22.9%
Bias Score
-22.1%
16
#16T Robinson
12
25.0%
-20.0%
2.8
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
17
#17S Oldham
8
25.0%
-20.0%
1.8
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
18
#18M Riley
12
25.0%
-20.0%
1.9
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
19
#19P Bankes
7
28.6%
-16.4%
2.7
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
20
#20J Simpson
14
28.6%
-16.4%
2.2
⚠️ Potential Bias
Games
14
Win Rate
28.6%
Bias Score
-16.4%
21
#21S Martin
14
28.6%
-16.4%
1.4
⚠️ Potential Bias
Games
14
Win Rate
28.6%
Bias Score
-16.4%
22
#22K Stroud
14
28.6%
-16.4%
1.8
⚠️ Potential Bias
Games
14
Win Rate
28.6%
Bias Score
-16.4%
23
#23D Drysdale
7
28.6%
-16.4%
2.0
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
24
#24P Walton
14
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
14
Win Rate
28.6%
Bias Score
-16.4%
25
#25M Jones
27
29.6%
-15.4%
1.9
⚠️ Potential Bias
Games
27
Win Rate
29.6%
Bias Score
-15.4%
26
#26A Taylor
20
30.0%
-15.0%
1.9
⚠️ Potential Bias
Games
20
Win Rate
30.0%
Bias Score
-15.0%
27
#27M Dean
37
32.4%
-12.6%
1.9
⚠️ Potential Bias
Games
37
Win Rate
32.4%
Bias Score
-12.6%
28
#28M Salisbury
6
33.3%
-11.7%
1.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
29
#29L Doughty
6
33.3%
-11.7%
2.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
30
#30J Linington
9
33.3%
-11.7%
2.2
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
31
#31O Yates
6
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
32
#32C Breakspear
6
33.3%
-11.7%
2.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
33
#33N Swarbrick
21
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
21
Win Rate
33.3%
Bias Score
-11.7%
34
#34A Marriner
27
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
27
Win Rate
33.3%
Bias Score
-11.7%
35
#35M Halsey
21
33.3%
-11.7%
0.8
⚠️ Potential Bias
Games
21
Win Rate
33.3%
Bias Score
-11.7%
36
#36G Poll
6
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
37
#37L Probert
20
35.0%
-10.0%
1.8
⚠️ Potential Bias
Games
20
Win Rate
35.0%
Bias Score
-10.0%
38
#38R Madley
22
36.4%
-8.6%
1.8
📊 Neutral
Games
22
Win Rate
36.4%
Bias Score
-8.6%
39
#39L Mason
33
36.4%
-8.6%
1.9
📊 Neutral
Games
33
Win Rate
36.4%
Bias Score
-8.6%
40
#40R Jones
8
37.5%
-7.5%
1.5
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
41
#41J Bell
8
37.5%
-7.5%
1.4
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
42
#42O Langford
13
38.5%
-6.5%
1.6
📊 Neutral
Games
13
Win Rate
38.5%
Bias Score
-6.5%
43
#43T Harrington
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
44
#44D Coote
5
40.0%
-5.0%
0.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
45
#45R Lewis
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
46
#46D Gallagher
10
40.0%
-5.0%
1.8
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
47
#47N Barry
5
40.0%
-5.0%
2.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
48
#48H Webb
22
40.9%
-4.1%
2.1
📊 Neutral
Games
22
Win Rate
40.9%
Bias Score
-4.1%
49
#49T Bramall
7
42.9%
-2.1%
1.9
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
50
#50D Bond
11
45.5%
+0.5%
1.6
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
51
#51A Backhouse
13
46.2%
+1.2%
1.8
📊 Neutral
Games
13
Win Rate
46.2%
Bias Score
+1.2%
52
#52M Donohue
8
50.0%
+5.0%
2.3
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
53
#53S Barrott
6
50.0%
+5.0%
1.5
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
54
#54A Davies
10
50.0%
+5.0%
2.2
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
55
#55U Rennie
6
50.0%
+5.0%
0.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
56
#56D Whitestone
9
55.6%
+10.6%
1.4
✅ Favorable
Games
9
Win Rate
55.6%
Bias Score
+10.6%
57
#57A Madley
7
57.1%
+12.1%
1.4
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
58
#58R Beeby
7
57.1%
+12.1%
1.0
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
59
#59T Nield
5
60.0%
+15.0%
3.4
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
60
#60P Wright
5
60.0%
+15.0%
0.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
61
#61N Hair
5
60.0%
+15.0%
1.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
62
#62A Coggins
5
60.0%
+15.0%
1.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
63
#63P Joslin
5
60.0%
+15.0%
1.4
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
64
#64C Boyeson
8
62.5%
+17.5%
1.9
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
65
#65J Busby
12
66.7%
+21.7%
1.5
✅ Favorable
Games
12
Win Rate
66.7%
Bias Score
+21.7%
66
#66B Toner
9
66.7%
+21.7%
2.0
✅ Favorable
Games
9
Win Rate
66.7%
Bias Score
+21.7%
67
#67T Kettle
7
71.4%
+26.4%
2.3
✅ Favorable
Games
7
Win Rate
71.4%
Bias Score
+26.4%
68
#68G Salisbury
7
71.4%
+26.4%
0.7
✅ Favorable
Games
7
Win Rate
71.4%
Bias Score
+26.4%
69
#69S Mathieson
6
100.0%
+55.0%
1.3
✅ Favorable
Games
6
Win Rate
100.0%
Bias Score
+55.0%
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.