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⚽ Team Analysis
ReadingReferee Analysis
Analysis of 183 referees across 1000 matches
183
Referees
1000
Matches
⚠️
Most Biased Against
E Bell
Bias Score: -45.0%•3 games
✅
Most Favorable
S Tomlin
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Reading examines 183 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. E Bell ranks as the most biased against Reading with a -45.0% bias score over 3 matches. Conversely, S Tomlin 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
#1C Foy
11
9.1%
-35.9%
0.7
🚨 Strong Bias
Games
11
Win Rate
9.1%
Bias Score
-35.9%
2
#2A Taylor
8
12.5%
-32.5%
0.8
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
3
#3P Walton
8
12.5%
-32.5%
1.4
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
4
#4M Russell
7
14.3%
-30.7%
1.0
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
5
#5J Brooks
7
14.3%
-30.7%
0.9
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
6
#6R Jones
7
14.3%
-30.7%
2.4
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
7
#7F Graham
7
14.3%
-30.7%
1.9
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
8
#8S Oldham
6
16.7%
-28.3%
1.2
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
9
#9M Haywood
6
16.7%
-28.3%
0.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
10
#10M Atkinson
6
16.7%
-28.3%
1.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
11
#11M Dean
11
18.2%
-26.8%
2.1
🚨 Strong Bias
Games
11
Win Rate
18.2%
Bias Score
-26.8%
12
#12A Chilowicz
5
20.0%
-25.0%
2.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
13
#13P Tierney
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
14
#14C Breakspear
5
20.0%
-25.0%
2.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
15
#15M Salisbury
5
20.0%
-25.0%
0.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
16
#16G Poll
5
20.0%
-25.0%
0.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
17
#17S Duncan
9
22.2%
-22.8%
1.7
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
18
#18M Donohue
12
25.0%
-20.0%
1.7
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
19
#19T Robinson
20
25.0%
-20.0%
1.8
🚨 Strong Bias
Games
20
Win Rate
25.0%
Bias Score
-20.0%
20
#20S Martin
24
25.0%
-20.0%
1.5
🚨 Strong Bias
Games
24
Win Rate
25.0%
Bias Score
-20.0%
21
#21P Bankes
8
25.0%
-20.0%
2.1
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
22
#22S Hooper
16
25.0%
-20.0%
1.4
🚨 Strong Bias
Games
16
Win Rate
25.0%
Bias Score
-20.0%
23
#23M Jones
16
25.0%
-20.0%
1.1
🚨 Strong Bias
Games
16
Win Rate
25.0%
Bias Score
-20.0%
24
#24K Hill
11
27.3%
-17.7%
2.0
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
25
#25D Bond
18
27.8%
-17.2%
1.6
⚠️ Potential Bias
Games
18
Win Rate
27.8%
Bias Score
-17.2%
26
#26G Eltringham
18
27.8%
-17.2%
2.1
⚠️ Potential Bias
Games
18
Win Rate
27.8%
Bias Score
-17.2%
27
#27G Scott
7
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
28
#28L Probert
7
28.6%
-16.4%
0.7
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
29
#29O Langford
24
29.2%
-15.8%
1.4
⚠️ Potential Bias
Games
24
Win Rate
29.2%
Bias Score
-15.8%
30
#30M Halsey
10
30.0%
-15.0%
0.6
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
31
#31A Bates
10
30.0%
-15.0%
1.2
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
32
#32A Madley
13
30.8%
-14.2%
1.7
⚠️ Potential Bias
Games
13
Win Rate
30.8%
Bias Score
-14.2%
33
#33D Webb
16
31.3%
-13.8%
1.3
⚠️ Potential Bias
Games
16
Win Rate
31.3%
Bias Score
-13.8%
34
#34J Moss
6
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
35
#35R East
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
36
#36M Clattenburg
6
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
37
#37U Rennie
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
38
#38S Bennett
6
33.3%
-11.7%
1.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
39
#39A Wiley
9
33.3%
-11.7%
0.9
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
40
#40R Styles
6
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
41
#41M Oliver
8
37.5%
-7.5%
1.9
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
42
#42A Hall
8
37.5%
-7.5%
0.9
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
43
#43A Woolmer
20
40.0%
-5.0%
1.4
📊 Neutral
Games
20
Win Rate
40.0%
Bias Score
-5.0%
44
#44N Miller
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
45
#45G Salisbury
10
40.0%
-5.0%
1.5
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
46
#46S Attwell
5
40.0%
-5.0%
1.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
47
#47H Webb
10
40.0%
-5.0%
0.8
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
48
#48T Kettle
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
49
#49K Stroud
28
42.9%
-2.1%
2.0
📊 Neutral
Games
28
Win Rate
42.9%
Bias Score
-2.1%
50
#50L Mason
14
42.9%
-2.1%
1.4
📊 Neutral
Games
14
Win Rate
42.9%
Bias Score
-2.1%
51
#51D Deadman
7
42.9%
-2.1%
1.6
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
52
#52A Marriner
7
42.9%
-2.1%
1.3
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
53
#53T Harrington
16
43.8%
-1.3%
1.8
📊 Neutral
Games
16
Win Rate
43.8%
Bias Score
-1.3%
54
#54N Swarbrick
9
44.4%
-0.6%
1.1
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
55
#55A D'Urso
9
44.4%
-0.6%
1.3
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
56
#56P Taylor
9
44.4%
-0.6%
1.2
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
57
#57J Linington
28
46.4%
+1.4%
1.6
📊 Neutral
Games
28
Win Rate
46.4%
Bias Score
+1.4%
58
#58G Ward
17
47.1%
+2.1%
1.5
📊 Neutral
Games
17
Win Rate
47.1%
Bias Score
+2.1%
59
#59J Simpson
19
47.4%
+2.4%
1.6
📊 Neutral
Games
19
Win Rate
47.4%
Bias Score
+2.4%
60
#60A Davies
18
50.0%
+5.0%
1.6
📊 Neutral
Games
18
Win Rate
50.0%
Bias Score
+5.0%
61
#61J Busby
6
50.0%
+5.0%
1.2
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
62
#62D Coote
18
50.0%
+5.0%
1.9
📊 Neutral
Games
18
Win Rate
50.0%
Bias Score
+5.0%
63
#63J Adcock
6
50.0%
+5.0%
1.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
64
#64E Ilderton
8
50.0%
+5.0%
0.9
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
65
#65P Crossley
6
50.0%
+5.0%
1.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
66
#66R Beeby
6
50.0%
+5.0%
0.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
67
#67M Riley
6
50.0%
+5.0%
1.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
68
#68D Whitestone
13
53.8%
+8.8%
1.4
📊 Neutral
Games
13
Win Rate
53.8%
Bias Score
+8.8%
69
#69S Tanner
11
54.5%
+9.5%
1.1
📊 Neutral
Games
11
Win Rate
54.5%
Bias Score
+9.5%
70
#70D Drysdale
7
57.1%
+12.1%
1.3
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
71
#71K Wright
7
57.1%
+12.1%
1.4
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
72
#72K Friend
15
60.0%
+15.0%
1.3
✅ Favorable
Games
15
Win Rate
60.0%
Bias Score
+15.0%
73
#73T Parsons
5
80.0%
+35.0%
1.0
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
74
#74B Speedie
5
80.0%
+35.0%
2.0
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
Note: Showing 74 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.