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⚽ Team Analysis
CarlisleReferee Analysis
Analysis of 234 referees across 1000 matches
234
Referees
1000
Matches
⚠️
Most Biased Against
S Copeland
Bias Score: -45.0%•1 games
✅
Most Favorable
Salisbury, G.
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Carlisle examines 234 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. S Copeland ranks as the most biased against Carlisle with a -45.0% bias score over 1 matches. Conversely, Salisbury, G. 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
#1B Speedie
8
0.0%
-45.0%
1.0
🚨 Strong Bias
Games
8
Win Rate
0.0%
Bias Score
-45.0%
2
#2M Salisbury
6
0.0%
-45.0%
2.0
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
3
#3P Gibbs
6
0.0%
-45.0%
1.8
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
4
#4M Brown
6
0.0%
-45.0%
0.5
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
5
#5D Phillips
5
0.0%
-45.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
6
#6G Sutton
6
0.0%
-45.0%
0.7
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
7
#7D Deadman
8
12.5%
-32.5%
1.9
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
8
#8T Nield
7
14.3%
-30.7%
2.6
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
9
#9D Handley
7
14.3%
-30.7%
1.7
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
10
#10L Swabey
7
14.3%
-30.7%
1.6
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
11
#11S Duncan
7
14.3%
-30.7%
1.0
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
12
#12J Simpson
6
16.7%
-28.3%
2.2
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
13
#13T Kettle
11
18.2%
-26.8%
2.0
🚨 Strong Bias
Games
11
Win Rate
18.2%
Bias Score
-26.8%
14
#14P Howard
5
20.0%
-25.0%
3.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
15
#15T Parsons
5
20.0%
-25.0%
3.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
16
#16T Reeves
5
20.0%
-25.0%
0.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
17
#17D Rock
5
20.0%
-25.0%
2.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18W Finnie
5
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
19
#19B Huxtable
5
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
20
#20J Adcock
5
20.0%
-25.0%
0.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
21
#21G Horwood
5
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
22
#22C Pawson
5
20.0%
-25.0%
0.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
23
#23A D'Urso
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
24
#24R East
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
25
#25D Foster
5
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
26
#26C Oliver
5
20.0%
-25.0%
0.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
27
#27D Drysdale
21
23.8%
-21.2%
1.4
🚨 Strong Bias
Games
21
Win Rate
23.8%
Bias Score
-21.2%
28
#28S Mather
8
25.0%
-20.0%
1.9
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
29
#29O Langford
8
25.0%
-20.0%
1.0
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
30
#30K Johnson
7
28.6%
-16.4%
1.7
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
31
#31G Ward
7
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
32
#32C Boyeson
23
30.4%
-14.6%
1.6
⚠️ Potential Bias
Games
23
Win Rate
30.4%
Bias Score
-14.6%
33
#33S Oldham
13
30.8%
-14.2%
1.0
⚠️ Potential Bias
Games
13
Win Rate
30.8%
Bias Score
-14.2%
34
#34R Lewis
13
30.8%
-14.2%
1.9
⚠️ Potential Bias
Games
13
Win Rate
30.8%
Bias Score
-14.2%
35
#35M Coy
16
31.3%
-13.8%
1.3
⚠️ Potential Bias
Games
16
Win Rate
31.3%
Bias Score
-13.8%
36
#36M Woods
6
33.3%
-11.7%
2.2
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
37
#37S Stockbridge
21
33.3%
-11.7%
1.9
⚠️ Potential Bias
Games
21
Win Rate
33.3%
Bias Score
-11.7%
38
#38C Breakspear
12
33.3%
-11.7%
2.4
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
39
#39P Wright
9
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
40
#40M Heywood
9
33.3%
-11.7%
1.9
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
41
#41O Yates
8
37.5%
-7.5%
1.4
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
42
#42A Bates
8
37.5%
-7.5%
0.9
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
43
#43A Herczeg
5
40.0%
-5.0%
0.4
📊 Neutral
Games
5
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
#45F Graham
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
46
#46J Waugh
5
40.0%
-5.0%
1.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
47
#47K Evans
5
40.0%
-5.0%
1.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
48
#48S Mathieson
17
41.2%
-3.8%
1.6
📊 Neutral
Games
17
Win Rate
41.2%
Bias Score
-3.8%
49
#49G Salisbury
21
42.9%
-2.1%
1.3
📊 Neutral
Games
21
Win Rate
42.9%
Bias Score
-2.1%
50
#50L Mason
7
42.9%
-2.1%
2.3
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
51
#51D Webb
11
45.5%
+0.5%
1.2
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
52
#52C Webster
11
45.5%
+0.5%
1.2
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
53
#53J Oldham
8
50.0%
+5.0%
2.5
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
54
#54C Sarginson
14
50.0%
+5.0%
1.7
📊 Neutral
Games
14
Win Rate
50.0%
Bias Score
+5.0%
55
#55N Kinseley
6
50.0%
+5.0%
2.5
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
56
#56T Harrington
6
50.0%
+5.0%
1.0
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
57
#57M Haywood
12
50.0%
+5.0%
1.1
📊 Neutral
Games
12
Win Rate
50.0%
Bias Score
+5.0%
58
#58G Laws
10
50.0%
+5.0%
1.3
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
59
#59E Ilderton
19
52.6%
+7.6%
1.1
📊 Neutral
Games
19
Win Rate
52.6%
Bias Score
+7.6%
60
#60R Joyce
17
52.9%
+7.9%
1.6
📊 Neutral
Games
17
Win Rate
52.9%
Bias Score
+7.9%
61
#61A Haines
24
54.2%
+9.2%
1.6
📊 Neutral
Games
24
Win Rate
54.2%
Bias Score
+9.2%
62
#62M Jones
9
55.6%
+10.6%
1.9
✅ Favorable
Games
9
Win Rate
55.6%
Bias Score
+10.6%
63
#63M Edwards
7
57.1%
+12.1%
1.1
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
64
#64R Madley
5
60.0%
+15.0%
2.4
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
65
#65J Bell
5
60.0%
+15.0%
1.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
66
#66M Pike
5
60.0%
+15.0%
0.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
67
#67B Toner
15
66.7%
+21.7%
1.6
✅ Favorable
Games
15
Win Rate
66.7%
Bias Score
+21.7%
68
#68G Eltringham
9
66.7%
+21.7%
0.9
✅ Favorable
Games
9
Win Rate
66.7%
Bias Score
+21.7%
69
#69P Tierney
6
66.7%
+21.7%
1.5
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
70
#70N Swarbrick
9
66.7%
+21.7%
0.9
✅ Favorable
Games
9
Win Rate
66.7%
Bias Score
+21.7%
71
#71J Moss
6
66.7%
+21.7%
1.3
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
72
#72D Bond
7
71.4%
+26.4%
1.9
✅ Favorable
Games
7
Win Rate
71.4%
Bias Score
+26.4%
73
#73D Whitestone
7
71.4%
+26.4%
1.1
✅ Favorable
Games
7
Win Rate
71.4%
Bias Score
+26.4%
Note: Showing 73 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.