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⚽ Team Analysis
BurnleyReferee Analysis
Analysis of 184 referees across 1000 matches
184
Referees
1000
Matches
⚠️
Most Biased Against
R Jones
Bias Score: -45.0%•4 games
✅
Most Favorable
M. Clattenburg
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Burnley examines 184 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. R Jones ranks as the most biased against Burnley with a -45.0% bias score over 4 matches. Conversely, M. Clattenburg 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 Barrott
5
0.0%
-45.0%
2.6
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
2
#2T Bramall
5
0.0%
-45.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
3
#3G Ward
5
0.0%
-45.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
4
#4I Williamson
7
0.0%
-45.0%
2.3
🚨 Strong Bias
Games
7
Win Rate
0.0%
Bias Score
-45.0%
5
#5P Walton
6
0.0%
-45.0%
2.0
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
6
#6A Kaye
5
0.0%
-45.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
7
#7T Kettle
8
12.5%
-32.5%
1.3
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
8
#8S Mathieson
7
14.3%
-30.7%
1.4
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
9
#9C Foy
12
16.7%
-28.3%
1.5
🚨 Strong Bias
Games
12
Win Rate
16.7%
Bias Score
-28.3%
10
#10A Marriner
17
17.6%
-27.4%
1.6
🚨 Strong Bias
Games
17
Win Rate
17.6%
Bias Score
-27.4%
11
#11J Gillett
5
20.0%
-25.0%
2.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
12
#12M Clattenburg
15
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
15
Win Rate
20.0%
Bias Score
-25.0%
13
#13A Woolmer
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
14
#14G Hegley
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
15
#15M Thorpe
5
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
16
#16B Curson
5
20.0%
-25.0%
2.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
17
#17C Pawson
19
21.1%
-23.9%
1.7
🚨 Strong Bias
Games
19
Win Rate
21.1%
Bias Score
-23.9%
18
#18D Whitestone
9
22.2%
-22.8%
1.3
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
19
#19J Moss
26
23.1%
-21.9%
2.0
🚨 Strong Bias
Games
26
Win Rate
23.1%
Bias Score
-21.9%
20
#20M Oliver
28
25.0%
-20.0%
1.3
🚨 Strong Bias
Games
28
Win Rate
25.0%
Bias Score
-20.0%
21
#21A Bates
12
25.0%
-20.0%
1.3
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
22
#22A Hall
8
25.0%
-20.0%
2.1
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
23
#23S Attwell
15
26.7%
-18.3%
1.8
⚠️ Potential Bias
Games
15
Win Rate
26.7%
Bias Score
-18.3%
24
#24C Webster
15
26.7%
-18.3%
1.5
⚠️ Potential Bias
Games
15
Win Rate
26.7%
Bias Score
-18.3%
25
#25C Kavanagh
18
27.8%
-17.2%
1.5
⚠️ Potential Bias
Games
18
Win Rate
27.8%
Bias Score
-17.2%
26
#26A Taylor
25
28.0%
-17.0%
1.4
⚠️ Potential Bias
Games
25
Win Rate
28.0%
Bias Score
-17.0%
27
#27C Boyeson
7
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
28
#28R Olivier
7
28.6%
-16.4%
0.9
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
29
#29P Tierney
17
29.4%
-15.6%
1.3
⚠️ Potential Bias
Games
17
Win Rate
29.4%
Bias Score
-15.6%
30
#30H Webb
10
30.0%
-15.0%
1.7
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
31
#31L Mason
19
31.6%
-13.4%
1.4
⚠️ Potential Bias
Games
19
Win Rate
31.6%
Bias Score
-13.4%
32
#32K Friend
31
32.3%
-12.7%
1.9
⚠️ Potential Bias
Games
31
Win Rate
32.3%
Bias Score
-12.7%
33
#33P Bankes
9
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
34
#34R East
12
33.3%
-11.7%
1.4
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
35
#35P Dowd
15
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
15
Win Rate
33.3%
Bias Score
-11.7%
36
#36P Taylor
6
33.3%
-11.7%
2.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
37
#37M Dean
41
34.1%
-10.9%
1.8
⚠️ Potential Bias
Games
41
Win Rate
34.1%
Bias Score
-10.9%
38
#38R Madley
14
35.7%
-9.3%
1.4
📊 Neutral
Games
14
Win Rate
35.7%
Bias Score
-9.3%
39
#39L Probert
16
37.5%
-7.5%
1.5
📊 Neutral
Games
16
Win Rate
37.5%
Bias Score
-7.5%
40
#40M Pike
8
37.5%
-7.5%
1.0
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
41
#41D England
5
40.0%
-5.0%
2.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
42
#42D Coote
15
40.0%
-5.0%
1.4
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
43
#43R Booth
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
44
#44C Penton
5
40.0%
-5.0%
2.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
45
#45M Jones
27
40.7%
-4.3%
1.3
📊 Neutral
Games
27
Win Rate
40.7%
Bias Score
-4.3%
46
#46S Hooper
12
41.7%
-3.3%
1.8
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
47
#47E Ilderton
12
41.7%
-3.3%
1.8
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
48
#48A Kitchen
7
42.9%
-2.1%
1.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
49
#49C Oliver
7
42.9%
-2.1%
0.9
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
50
#50M Atkinson
27
44.4%
-0.6%
1.9
📊 Neutral
Games
27
Win Rate
44.4%
Bias Score
-0.6%
51
#51J Linington
11
45.5%
+0.5%
1.7
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
52
#52N Miller
11
45.5%
+0.5%
1.8
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
53
#53T Harrington
8
50.0%
+5.0%
1.6
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
54
#54G Scott
18
50.0%
+5.0%
1.4
📊 Neutral
Games
18
Win Rate
50.0%
Bias Score
+5.0%
55
#55D Bond
6
50.0%
+5.0%
1.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
56
#56K Stroud
10
50.0%
+5.0%
1.7
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
57
#57G Laws
8
50.0%
+5.0%
1.8
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
58
#58R Beeby
6
50.0%
+5.0%
2.5
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
59
#59P Joslin
10
50.0%
+5.0%
1.5
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
60
#60M Haywood
7
57.1%
+12.1%
0.9
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
61
#61A Madley
9
66.7%
+21.7%
1.0
✅ Favorable
Games
9
Win Rate
66.7%
Bias Score
+21.7%
62
#62M Salisbury
6
66.7%
+21.7%
1.5
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
63
#63S Tanner
7
71.4%
+26.4%
1.6
✅ Favorable
Games
7
Win Rate
71.4%
Bias Score
+26.4%
64
#64O Langford
11
72.7%
+27.7%
1.0
✅ Favorable
Games
11
Win Rate
72.7%
Bias Score
+27.7%
65
#65T Robinson
8
75.0%
+30.0%
2.5
✅ Favorable
Games
8
Win Rate
75.0%
Bias Score
+30.0%
66
#66D Webb
13
76.9%
+31.9%
1.6
✅ Favorable
Games
13
Win Rate
76.9%
Bias Score
+31.9%
67
#67S Martin
7
85.7%
+40.7%
1.4
✅ Favorable
Games
7
Win Rate
85.7%
Bias Score
+40.7%
Note: Showing 67 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.