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⚽ Team Analysis
MacclesfieldReferee Analysis
Analysis of 265 referees across 864 matches
265
Referees
864
Matches
⚠️
Most Biased Against
J Busby
Bias Score: -45.0%•5 games
✅
Most Favorable
Mike North
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Macclesfield examines 265 referees across 864 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. J Busby ranks as the most biased against Macclesfield with a -45.0% bias score over 5 matches. Conversely, Mike North 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 Busby
5
0.0%
-45.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
2
#2S Bennett
5
0.0%
-45.0%
2.2
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
3
#3G Horwood
5
0.0%
-45.0%
2.2
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
4
#4D Drysdale
9
11.1%
-33.9%
1.4
🚨 Strong Bias
Games
9
Win Rate
11.1%
Bias Score
-33.9%
5
#5D Whitestone
8
12.5%
-32.5%
2.8
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
6
#6A Woolmer
8
12.5%
-32.5%
0.5
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
7
#7J Singh
8
12.5%
-32.5%
1.1
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
8
#8C Sarginson
6
16.7%
-28.3%
2.0
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
9
#9T Kettle
6
16.7%
-28.3%
2.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
10
#10G Salisbury
12
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
12
Win Rate
16.7%
Bias Score
-28.3%
11
#11S Oldham
6
16.7%
-28.3%
1.5
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
12
#12M Haywood
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
13
#13P Miller
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
14
#14A Haines
11
18.2%
-26.8%
1.8
🚨 Strong Bias
Games
11
Win Rate
18.2%
Bias Score
-26.8%
15
#15C Hicks
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
16
#16G Eltringham
5
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
17
#17A Backhouse
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18S Ross
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
19
#19R Martin
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
20
#20C Pawson
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
21
#21P Tierney
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
22
#22C Webster
5
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
23
#23J Moss
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
24
#24R Joyce
8
25.0%
-20.0%
1.6
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
25
#25A Marriner
8
25.0%
-20.0%
1.1
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
26
#26D Rock
7
28.6%
-16.4%
1.4
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
27
#27A Young
7
28.6%
-16.4%
1.9
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
28
#28D Webb
7
28.6%
-16.4%
1.1
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
29
#29C Boyeson
14
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
14
Win Rate
28.6%
Bias Score
-16.4%
30
#30G Ward
7
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
31
#31E Ilderton
14
28.6%
-16.4%
0.9
⚠️ Potential Bias
Games
14
Win Rate
28.6%
Bias Score
-16.4%
32
#32A Bates
7
28.6%
-16.4%
1.1
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
33
#33U Rennie
7
28.6%
-16.4%
1.7
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
34
#34P Joslin
7
28.6%
-16.4%
0.6
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
35
#35B Toner
6
33.3%
-11.7%
0.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
36
#36P Marsden
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
37
#37M Donohue
6
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
38
#38D Phillips
6
33.3%
-11.7%
1.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
39
#39A Penn
11
36.4%
-8.6%
1.3
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
40
#40M Salisbury
8
37.5%
-7.5%
0.8
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
41
#41A Holmes
8
37.5%
-7.5%
0.8
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
42
#42K Friend
8
37.5%
-7.5%
2.1
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
43
#43T Nield
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
44
#44R Lewis
5
40.0%
-5.0%
2.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
45
#45A Bromley
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
46
#46R Wigglesworth
5
40.0%
-5.0%
2.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
47
#47P Gibbs
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
48
#48M Thorpe
5
40.0%
-5.0%
0.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
49
#49M Cowburn
5
40.0%
-5.0%
0.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
50
#50P Wright
7
42.9%
-2.1%
0.6
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
51
#51G Sutton
7
42.9%
-2.1%
1.3
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
52
#52M Russell
7
42.9%
-2.1%
0.9
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
53
#53K Wright
7
42.9%
-2.1%
2.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
54
#54C Oliver
7
42.9%
-2.1%
1.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
55
#55J Johnson
9
44.4%
-0.6%
1.1
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
56
#56M Pike
9
44.4%
-0.6%
1.3
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
57
#57A Miller
6
50.0%
+5.0%
0.2
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
58
#58S Rushton
12
50.0%
+5.0%
1.7
📊 Neutral
Games
12
Win Rate
50.0%
Bias Score
+5.0%
59
#59W Barratt
6
50.0%
+5.0%
1.2
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
60
#60N Miller
8
50.0%
+5.0%
1.3
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
61
#61I Williamson
6
50.0%
+5.0%
1.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
62
#62K Hill
6
50.0%
+5.0%
2.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
63
#63R Booth
6
50.0%
+5.0%
1.2
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
64
#64G Laws
6
50.0%
+5.0%
1.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
65
#65I Hussin
7
57.1%
+12.1%
1.1
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
66
#66M Coy
12
58.3%
+13.3%
1.2
✅ Favorable
Games
12
Win Rate
58.3%
Bias Score
+13.3%
67
#67K Evans
12
66.7%
+21.7%
0.7
✅ Favorable
Games
12
Win Rate
66.7%
Bias Score
+21.7%
68
#68J Whiteley
7
71.4%
+26.4%
0.9
✅ Favorable
Games
7
Win Rate
71.4%
Bias Score
+26.4%
69
#69T Bramall
8
75.0%
+30.0%
1.3
✅ Favorable
Games
8
Win Rate
75.0%
Bias Score
+30.0%
70
#70R Jones
5
80.0%
+35.0%
1.6
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
71
#71N Swarbrick
5
80.0%
+35.0%
1.6
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
Note: Showing 71 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.