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⚽ Team Analysis
RochdaleReferee Analysis
Analysis of 239 referees across 1000 matches
239
Referees
1000
Matches
⚠️
Most Biased Against
M Corlett
Bias Score: -45.0%•1 games
✅
Most Favorable
M Atkinson
Bias Score: +55.0%•2 games
Our comprehensive referee bias analysis for Rochdale examines 239 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. M Corlett ranks as the most biased against Rochdale with a -45.0% bias score over 1 matches. Conversely, M Atkinson 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
#1J Adcock
7
0.0%
-45.0%
1.4
🚨 Strong Bias
Games
7
Win Rate
0.0%
Bias Score
-45.0%
2
#2K Hill
9
0.0%
-45.0%
1.9
🚨 Strong Bias
Games
9
Win Rate
0.0%
Bias Score
-45.0%
3
#3A Penn
8
0.0%
-45.0%
1.4
🚨 Strong Bias
Games
8
Win Rate
0.0%
Bias Score
-45.0%
4
#4D Webb
13
7.7%
-37.3%
1.3
🚨 Strong Bias
Games
13
Win Rate
7.7%
Bias Score
-37.3%
5
#5G Sutton
9
11.1%
-33.9%
1.4
🚨 Strong Bias
Games
9
Win Rate
11.1%
Bias Score
-33.9%
6
#6R Joyce
15
13.3%
-31.7%
1.9
🚨 Strong Bias
Games
15
Win Rate
13.3%
Bias Score
-31.7%
7
#7A Backhouse
7
14.3%
-30.7%
1.4
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
8
#8M Edwards
7
14.3%
-30.7%
1.1
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
9
#9S Martin
6
16.7%
-28.3%
1.5
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
10
#10G Horwood
6
16.7%
-28.3%
1.0
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
11
#11A Bates
6
16.7%
-28.3%
1.5
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
12
#12M Russell
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
13
#13A Young
5
20.0%
-25.0%
2.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
14
#14D Rock
5
20.0%
-25.0%
3.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
15
#15D Bond
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
16
#16K Friend
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
17
#17P Miller
5
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18C Pawson
5
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
19
#19T Parkes
5
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
20
#20R Madley
7
28.6%
-16.4%
1.0
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
21
#21M Coy
7
28.6%
-16.4%
1.9
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
22
#22T Kettle
14
28.6%
-16.4%
2.0
⚠️ Potential Bias
Games
14
Win Rate
28.6%
Bias Score
-16.4%
23
#23C Sarginson
14
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
14
Win Rate
28.6%
Bias Score
-16.4%
24
#24J Simpson
7
28.6%
-16.4%
1.3
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
25
#25F Graham
7
28.6%
-16.4%
1.1
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
26
#26N Swarbrick
7
28.6%
-16.4%
1.4
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
27
#27C Boyeson
29
31.0%
-14.0%
1.4
⚠️ Potential Bias
Games
29
Win Rate
31.0%
Bias Score
-14.0%
28
#28D Drysdale
22
31.8%
-13.2%
1.4
⚠️ Potential Bias
Games
22
Win Rate
31.8%
Bias Score
-13.2%
29
#29S Oldham
12
33.3%
-11.7%
1.4
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
30
#30O Yates
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
31
#31L Swabey
9
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
32
#32D Bourne
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
33
#33P Joslin
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
34
#34G Ward
11
36.4%
-8.6%
1.9
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
35
#35M Haywood
13
38.5%
-6.5%
0.9
📊 Neutral
Games
13
Win Rate
38.5%
Bias Score
-6.5%
36
#36N Hair
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
37
#37S Stockbridge
10
40.0%
-5.0%
1.8
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
38
#38R Lewis
10
40.0%
-5.0%
1.4
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
39
#39C Brook
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
40
#40C Hicks
5
40.0%
-5.0%
3.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
41
#41J Brooks
5
40.0%
-5.0%
2.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
42
#42A Woolmer
15
40.0%
-5.0%
1.8
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
43
#43D Whitestone
10
40.0%
-5.0%
0.8
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
44
#44N Miller
15
40.0%
-5.0%
0.7
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
45
#45K Wright
10
40.0%
-5.0%
1.1
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
46
#46A Madley
5
40.0%
-5.0%
1.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
47
#47A D'Urso
5
40.0%
-5.0%
0.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
48
#48R Shoebridge
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
49
#49G Laws
5
40.0%
-5.0%
1.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
50
#50M Pike
5
40.0%
-5.0%
1.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
51
#51A Haines
29
41.4%
-3.6%
1.2
📊 Neutral
Games
29
Win Rate
41.4%
Bias Score
-3.6%
52
#52P Marsden
7
42.9%
-2.1%
1.0
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
53
#53S Rushton
7
42.9%
-2.1%
0.6
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
54
#54J Moss
7
42.9%
-2.1%
0.9
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
55
#55J Singh
7
42.9%
-2.1%
1.7
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
56
#56M Brown
9
44.4%
-0.6%
1.0
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
57
#57R Booth
9
44.4%
-0.6%
0.9
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
58
#58C Webster
13
46.2%
+1.2%
1.9
📊 Neutral
Games
13
Win Rate
46.2%
Bias Score
+1.2%
59
#59B Toner
10
50.0%
+5.0%
1.1
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
60
#60C Breakspear
8
50.0%
+5.0%
2.0
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
61
#61G Salisbury
18
50.0%
+5.0%
1.5
📊 Neutral
Games
18
Win Rate
50.0%
Bias Score
+5.0%
62
#62G Eltringham
6
50.0%
+5.0%
1.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
63
#63L Probert
6
50.0%
+5.0%
1.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
64
#64T Harrington
6
50.0%
+5.0%
0.5
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
65
#65R Clark
6
50.0%
+5.0%
0.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
66
#66D Foster
6
50.0%
+5.0%
0.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
67
#67S Mathieson
7
57.1%
+12.1%
1.0
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
68
#68G Rhodes
5
60.0%
+15.0%
1.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
69
#69T Nield
5
60.0%
+15.0%
0.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
70
#70G Hegley
5
60.0%
+15.0%
0.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
71
#71M Jones
5
60.0%
+15.0%
0.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
72
#72P Prosser
5
60.0%
+15.0%
2.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
73
#73E Ilderton
18
61.1%
+16.1%
1.2
✅ Favorable
Games
18
Win Rate
61.1%
Bias Score
+16.1%
74
#74O Langford
9
66.7%
+21.7%
0.7
✅ Favorable
Games
9
Win Rate
66.7%
Bias Score
+21.7%
75
#75K Stroud
5
80.0%
+35.0%
2.2
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
Note: Showing 75 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.