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⚽ Team Analysis
LeedsReferee Analysis
Analysis of 140 referees across 1000 matches
140
Referees
1000
Matches
⚠️
Most Biased Against
F Hallam
Bias Score: -45.0%•1 games
✅
Most Favorable
Jones, P.
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Leeds examines 140 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 Leeds with a -45.0% bias score over 1 matches. Conversely, Jones, P. 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
#1R East
5
0.0%
-45.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
2
#2R Styles
7
0.0%
-45.0%
1.9
🚨 Strong Bias
Games
7
Win Rate
0.0%
Bias Score
-45.0%
3
#3P Durkin
7
0.0%
-45.0%
2.1
🚨 Strong Bias
Games
7
Win Rate
0.0%
Bias Score
-45.0%
4
#4A Bates
8
12.5%
-32.5%
2.1
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
5
#5J Brooks
7
14.3%
-30.7%
1.1
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
6
#6K Wright
7
14.3%
-30.7%
2.0
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
7
#7J Adcock
6
16.7%
-28.3%
2.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
8
#8N Swarbrick
11
18.2%
-26.8%
2.0
🚨 Strong Bias
Games
11
Win Rate
18.2%
Bias Score
-26.8%
9
#9C Pawson
10
20.0%
-25.0%
2.6
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
10
#10T Kettle
5
20.0%
-25.0%
2.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
11
#11M Pike
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
12
#12S Duncan
13
23.1%
-21.9%
1.5
🚨 Strong Bias
Games
13
Win Rate
23.1%
Bias Score
-21.9%
13
#13K Friend
20
25.0%
-20.0%
2.0
🚨 Strong Bias
Games
20
Win Rate
25.0%
Bias Score
-20.0%
14
#14A D'Urso
12
25.0%
-20.0%
1.4
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
15
#15M Clattenburg
8
25.0%
-20.0%
1.1
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
16
#16G Poll
8
25.0%
-20.0%
2.1
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
17
#17L Probert
15
26.7%
-18.3%
1.6
⚠️ Potential Bias
Games
15
Win Rate
26.7%
Bias Score
-18.3%
18
#18P Dowd
11
27.3%
-17.7%
2.3
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
19
#19A Wiley
11
27.3%
-17.7%
2.5
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
20
#20T Robinson
18
27.8%
-17.2%
2.1
⚠️ Potential Bias
Games
18
Win Rate
27.8%
Bias Score
-17.2%
21
#21K Hill
7
28.6%
-16.4%
1.9
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
22
#22S Tanner
7
28.6%
-16.4%
1.7
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
23
#23U Rennie
7
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
24
#24M Halsey
20
30.0%
-15.0%
0.9
⚠️ Potential Bias
Games
20
Win Rate
30.0%
Bias Score
-15.0%
25
#25M Oliver
16
31.3%
-13.8%
1.4
⚠️ Potential Bias
Games
16
Win Rate
31.3%
Bias Score
-13.8%
26
#26J Gillett
6
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
27
#27D Coote
18
33.3%
-11.7%
1.6
⚠️ Potential Bias
Games
18
Win Rate
33.3%
Bias Score
-11.7%
28
#28P Crossley
9
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
29
#29P Joslin
6
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
30
#30P Tierney
20
35.0%
-10.0%
2.1
⚠️ Potential Bias
Games
20
Win Rate
35.0%
Bias Score
-10.0%
31
#31P Bankes
22
36.4%
-8.6%
2.2
📊 Neutral
Games
22
Win Rate
36.4%
Bias Score
-8.6%
32
#32J Linington
11
36.4%
-8.6%
1.9
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
33
#33M Dean
22
36.4%
-8.6%
1.9
📊 Neutral
Games
22
Win Rate
36.4%
Bias Score
-8.6%
34
#34T Harrington
16
37.5%
-7.5%
1.1
📊 Neutral
Games
16
Win Rate
37.5%
Bias Score
-7.5%
35
#35A Woolmer
8
37.5%
-7.5%
1.8
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
36
#36P Taylor
8
37.5%
-7.5%
1.5
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
37
#37A Taylor
21
38.1%
-6.9%
2.0
📊 Neutral
Games
21
Win Rate
38.1%
Bias Score
-6.9%
38
#38M Salisbury
5
40.0%
-5.0%
2.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
39
#39D England
15
40.0%
-5.0%
1.9
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
40
#40G Salisbury
15
40.0%
-5.0%
2.2
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
41
#41C Foy
15
40.0%
-5.0%
1.9
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
42
#42M Russell
5
40.0%
-5.0%
2.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
43
#43S Bennett
5
40.0%
-5.0%
2.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
44
#44I Williamson
7
42.9%
-2.1%
2.4
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
45
#45D Deadman
7
42.9%
-2.1%
2.0
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
46
#46N Miller
14
42.9%
-2.1%
1.4
📊 Neutral
Games
14
Win Rate
42.9%
Bias Score
-2.1%
47
#47C Kavanagh
23
43.5%
-1.5%
1.8
📊 Neutral
Games
23
Win Rate
43.5%
Bias Score
-1.5%
48
#48A Marriner
16
43.8%
-1.3%
2.2
📊 Neutral
Games
16
Win Rate
43.8%
Bias Score
-1.3%
49
#49R Jones
18
44.4%
-0.6%
1.6
📊 Neutral
Games
18
Win Rate
44.4%
Bias Score
-0.6%
50
#50S Hooper
18
44.4%
-0.6%
2.4
📊 Neutral
Games
18
Win Rate
44.4%
Bias Score
-0.6%
51
#51M Jones
11
45.5%
+0.5%
1.8
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
52
#52S Mathieson
11
45.5%
+0.5%
0.9
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
53
#53L Mason
13
46.2%
+1.2%
1.5
📊 Neutral
Games
13
Win Rate
46.2%
Bias Score
+1.2%
54
#54D Whitestone
12
50.0%
+5.0%
1.7
📊 Neutral
Games
12
Win Rate
50.0%
Bias Score
+5.0%
55
#55O Langford
22
50.0%
+5.0%
1.4
📊 Neutral
Games
22
Win Rate
50.0%
Bias Score
+5.0%
56
#56J Smith
6
50.0%
+5.0%
1.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
57
#57A Madley
8
50.0%
+5.0%
2.0
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
58
#58F Graham
6
50.0%
+5.0%
1.2
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
59
#59J Simpson
13
53.8%
+8.8%
2.5
📊 Neutral
Games
13
Win Rate
53.8%
Bias Score
+8.8%
60
#60G Scott
11
54.5%
+9.5%
1.8
📊 Neutral
Games
11
Win Rate
54.5%
Bias Score
+9.5%
61
#61S Attwell
18
55.6%
+10.6%
2.1
✅ Favorable
Games
18
Win Rate
55.6%
Bias Score
+10.6%
62
#62E Ilderton
9
55.6%
+10.6%
1.4
✅ Favorable
Games
9
Win Rate
55.6%
Bias Score
+10.6%
63
#63K Stroud
30
56.7%
+11.7%
2.1
✅ Favorable
Games
30
Win Rate
56.7%
Bias Score
+11.7%
64
#64D Bond
14
57.1%
+12.1%
1.8
✅ Favorable
Games
14
Win Rate
57.1%
Bias Score
+12.1%
65
#65S Dunn
7
57.1%
+12.1%
1.9
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
66
#66J Bell
5
60.0%
+15.0%
1.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
67
#67A Haines
5
60.0%
+15.0%
1.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
68
#68N Barry
5
60.0%
+15.0%
1.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
69
#69P Walton
8
62.5%
+17.5%
2.4
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
70
#70G Laws
8
62.5%
+17.5%
2.0
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
71
#71G Ward
11
63.6%
+18.6%
1.9
✅ Favorable
Games
11
Win Rate
63.6%
Bias Score
+18.6%
72
#72D Webb
15
66.7%
+21.7%
1.2
✅ Favorable
Games
15
Win Rate
66.7%
Bias Score
+21.7%
73
#73A Davies
9
66.7%
+21.7%
2.1
✅ Favorable
Games
9
Win Rate
66.7%
Bias Score
+21.7%
74
#74D Gallagher
6
66.7%
+21.7%
1.5
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
75
#75G Eltringham
13
69.2%
+24.2%
1.6
✅ Favorable
Games
13
Win Rate
69.2%
Bias Score
+24.2%
76
#76M Donohue
7
71.4%
+26.4%
2.1
✅ Favorable
Games
7
Win Rate
71.4%
Bias Score
+26.4%
77
#77C Webster
11
72.7%
+27.7%
1.4
✅ Favorable
Games
11
Win Rate
72.7%
Bias Score
+27.7%
78
#78S Martin
11
81.8%
+36.8%
1.3
✅ Favorable
Games
11
Win Rate
81.8%
Bias Score
+36.8%
Note: Showing 78 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.