⚽ Team Analysis
LeicesterReferee Analysis
Analysis of 151 referees across 1000 matches
151
Referees
1000
Matches
⚠️
Most Biased Against
F Hallam
Bias Score: -45.0%•2 games
✅
Most Favorable
T Parkes
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Leicester examines 151 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. F Hallam ranks as the most biased against Leicester with a -45.0% bias score over 2 matches. Conversely, T Parkes 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
6
0.0%
-45.0%
2.5
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
2
#2C Foy
6
0.0%
-45.0%
1.5
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
3
#3R Styles
8
0.0%
-45.0%
2.1
🚨 Strong Bias
Games
8
Win Rate
0.0%
Bias Score
-45.0%
4
#4B Knight
5
0.0%
-45.0%
2.6
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
5
#5N Barry
5
0.0%
-45.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
6
#6A D'Urso
13
7.7%
-37.3%
1.9
🚨 Strong Bias
Games
13
Win Rate
7.7%
Bias Score
-37.3%
7
#7S Attwell
13
15.4%
-29.6%
1.3
🚨 Strong Bias
Games
13
Win Rate
15.4%
Bias Score
-29.6%
8
#8M Haywood
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
9
#9A Woolmer
6
16.7%
-28.3%
1.0
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
10
#10R Beeby
6
16.7%
-28.3%
1.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
11
#11I Williamson
11
18.2%
-26.8%
1.4
🚨 Strong Bias
Games
11
Win Rate
18.2%
Bias Score
-26.8%
12
#12C Kavanagh
20
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
20
Win Rate
20.0%
Bias Score
-25.0%
13
#13P Gibbs
5
20.0%
-25.0%
0.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
14
#14M Halsey
10
20.0%
-25.0%
0.8
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
15
#15P Walton
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
16
#16P Armstrong
5
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
17
#17G Poll
5
20.0%
-25.0%
0.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18J Winter
5
20.0%
-25.0%
0.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
19
#19M Atkinson
23
21.7%
-23.3%
1.5
🚨 Strong Bias
Games
23
Win Rate
21.7%
Bias Score
-23.3%
20
#20D England
9
22.2%
-22.8%
1.7
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
21
#21S Mathieson
8
25.0%
-20.0%
1.3
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
22
#22C Penton
8
25.0%
-20.0%
2.4
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
23
#23P Taylor
8
25.0%
-20.0%
2.3
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
24
#24C Pawson
34
26.5%
-18.5%
1.8
⚠️ Potential Bias
Games
34
Win Rate
26.5%
Bias Score
-18.5%
25
#25A Marriner
22
27.3%
-17.7%
1.0
⚠️ Potential Bias
Games
22
Win Rate
27.3%
Bias Score
-17.7%
26
#26N Swarbrick
14
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
14
Win Rate
28.6%
Bias Score
-16.4%
27
#27G Salisbury
7
28.6%
-16.4%
1.1
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
28
#28M Jones
17
29.4%
-15.6%
1.5
⚠️ Potential Bias
Games
17
Win Rate
29.4%
Bias Score
-15.6%
29
#29R Madley
13
30.8%
-14.2%
2.1
⚠️ Potential Bias
Games
13
Win Rate
30.8%
Bias Score
-14.2%
30
#30P Tierney
16
31.3%
-13.8%
1.4
⚠️ Potential Bias
Games
16
Win Rate
31.3%
Bias Score
-13.8%
31
#31O Langford
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
32
#32J Gillett
6
33.3%
-11.7%
0.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
33
#33K Stroud
15
33.3%
-11.7%
1.9
⚠️ Potential Bias
Games
15
Win Rate
33.3%
Bias Score
-11.7%
34
#34L Mason
21
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
21
Win Rate
33.3%
Bias Score
-11.7%
35
#35M Russell
6
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
36
#36A Bates
12
33.3%
-11.7%
1.6
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
37
#37A Hall
6
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
38
#38U Rennie
9
33.3%
-11.7%
1.1
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
39
#39M Riley
6
33.3%
-11.7%
3.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
40
#40C Webster
11
36.4%
-8.6%
1.3
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
41
#41M Dean
41
36.6%
-8.4%
2.0
📊 Neutral
Games
41
Win Rate
36.6%
Bias Score
-8.4%
42
#42A Madley
13
38.5%
-6.5%
1.1
📊 Neutral
Games
13
Win Rate
38.5%
Bias Score
-6.5%
43
#43D Bond
10
40.0%
-5.0%
2.2
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
44
#44T Bramall
5
40.0%
-5.0%
1.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
45
#45T Robinson
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
46
#46N Miller
10
40.0%
-5.0%
2.1
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
47
#47D Drysdale
5
40.0%
-5.0%
0.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
48
#48D McDermid
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
49
#49K Wright
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
50
#50K Hill
10
40.0%
-5.0%
2.3
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
51
#51P Crossley
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
52
#52J Moss
21
42.9%
-2.1%
1.4
📊 Neutral
Games
21
Win Rate
42.9%
Bias Score
-2.1%
53
#53P Dowd
7
42.9%
-2.1%
2.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
54
#54G Barber
7
42.9%
-2.1%
2.0
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
55
#55E Ilderton
9
44.4%
-0.6%
1.3
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
56
#56G Laws
9
44.4%
-0.6%
1.4
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
57
#57R Jones
13
46.2%
+1.2%
1.9
📊 Neutral
Games
13
Win Rate
46.2%
Bias Score
+1.2%
58
#58A Taylor
31
48.4%
+3.4%
1.8
📊 Neutral
Games
31
Win Rate
48.4%
Bias Score
+3.4%
59
#59M Oliver
41
48.8%
+3.8%
1.3
📊 Neutral
Games
41
Win Rate
48.8%
Bias Score
+3.8%
60
#60G Ward
6
50.0%
+5.0%
0.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
61
#61D Gallagher
6
50.0%
+5.0%
1.5
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
62
#62S Hooper
13
53.8%
+8.8%
0.9
📊 Neutral
Games
13
Win Rate
53.8%
Bias Score
+8.8%
63
#63D Deadman
9
55.6%
+10.6%
2.0
✅ Favorable
Games
9
Win Rate
55.6%
Bias Score
+10.6%
64
#64D Whitestone
7
57.1%
+12.1%
1.3
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
65
#65D Coote
14
57.1%
+12.1%
0.8
✅ Favorable
Games
14
Win Rate
57.1%
Bias Score
+12.1%
66
#66R East
14
57.1%
+12.1%
0.9
✅ Favorable
Games
14
Win Rate
57.1%
Bias Score
+12.1%
67
#67M Thorpe
7
57.1%
+12.1%
2.0
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
68
#68J Smith
5
60.0%
+15.0%
2.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
69
#69S Tanner
5
60.0%
+15.0%
1.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
70
#70M Clattenburg
13
61.5%
+16.5%
1.2
✅ Favorable
Games
13
Win Rate
61.5%
Bias Score
+16.5%
71
#71J Linington
6
66.7%
+21.7%
1.7
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
72
#72G Scott
18
66.7%
+21.7%
1.2
✅ Favorable
Games
18
Win Rate
66.7%
Bias Score
+21.7%
73
#73L Probert
15
73.3%
+28.3%
1.3
✅ Favorable
Games
15
Win Rate
73.3%
Bias Score
+28.3%
74
#74D Webb
12
75.0%
+30.0%
1.3
✅ Favorable
Games
12
Win Rate
75.0%
Bias Score
+30.0%
75
#75P Bankes
5
80.0%
+35.0%
1.2
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
76
#76C Boyeson
6
100.0%
+55.0%
1.5
✅ Favorable
Games
6
Win Rate
100.0%
Bias Score
+55.0%
77
#77K Evans
5
100.0%
+55.0%
1.0
✅ Favorable
Games
5
Win Rate
100.0%
Bias Score
+55.0%
Note: Showing 77 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.