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⚽ Team Analysis
ChesterfieldReferee Analysis
Analysis of 240 referees across 1000 matches
240
Referees
1000
Matches
⚠️
Most Biased Against
A Chilowicz
Bias Score: -45.0%•1 games
✅
Most Favorable
D Pugh
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Chesterfield examines 240 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. A Chilowicz ranks as the most biased against Chesterfield with a -45.0% bias score over 1 matches. Conversely, D Pugh 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 Brook
5
0.0%
-45.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
2
#2J Durkin
5
0.0%
-45.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
3
#3L Mason
7
0.0%
-45.0%
1.3
🚨 Strong Bias
Games
7
Win Rate
0.0%
Bias Score
-45.0%
4
#4K Hill
9
11.1%
-33.9%
1.3
🚨 Strong Bias
Games
9
Win Rate
11.1%
Bias Score
-33.9%
5
#5R Lewis
7
14.3%
-30.7%
1.9
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
6
#6S Hooper
7
14.3%
-30.7%
1.4
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
7
#7O Langford
7
14.3%
-30.7%
1.6
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
8
#8A Woolmer
12
16.7%
-28.3%
1.5
🚨 Strong Bias
Games
12
Win Rate
16.7%
Bias Score
-28.3%
9
#9A Bates
6
16.7%
-28.3%
1.0
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
10
#10D Rock
5
20.0%
-25.0%
0.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
11
#11D Webb
10
20.0%
-25.0%
0.9
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
12
#12J Linington
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
13
#13G Sutton
10
20.0%
-25.0%
0.9
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
14
#14G Hegley
10
20.0%
-25.0%
0.9
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
15
#15D Whitestone
9
22.2%
-22.8%
1.1
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
16
#16R Joyce
9
22.2%
-22.8%
2.0
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
17
#17A Haines
13
23.1%
-21.9%
1.8
🚨 Strong Bias
Games
13
Win Rate
23.1%
Bias Score
-21.9%
18
#18M Woods
8
25.0%
-20.0%
1.9
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
19
#19G Horwood
8
25.0%
-20.0%
1.3
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
20
#20C Webster
12
25.0%
-20.0%
1.6
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
21
#21S Stockbridge
7
28.6%
-16.4%
1.7
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
22
#22D Coote
7
28.6%
-16.4%
1.7
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
23
#23I Williamson
7
28.6%
-16.4%
1.7
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
24
#24G Scott
7
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
25
#25M Jones
7
28.6%
-16.4%
1.9
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
26
#26E Ilderton
17
29.4%
-15.6%
1.0
⚠️ Potential Bias
Games
17
Win Rate
29.4%
Bias Score
-15.6%
27
#27N Miller
13
30.8%
-14.2%
1.4
⚠️ Potential Bias
Games
13
Win Rate
30.8%
Bias Score
-14.2%
28
#28T Reeves
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
29
#29D Drysdale
15
33.3%
-11.7%
1.4
⚠️ Potential Bias
Games
15
Win Rate
33.3%
Bias Score
-11.7%
30
#30L Collins
6
33.3%
-11.7%
2.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
31
#31R Madley
6
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
32
#32C Sarginson
12
33.3%
-11.7%
1.0
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
33
#33D Bond
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
34
#34K Friend
6
33.3%
-11.7%
2.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
35
#35D Sheldrake
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
36
#36D McDermid
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
37
#37A Taylor
6
33.3%
-11.7%
1.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
38
#38A Hall
6
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
39
#39G Laws
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
40
#40S Tallis
8
37.5%
-7.5%
2.0
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
41
#41K Wright
8
37.5%
-7.5%
1.6
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
42
#42T Kettle
13
38.5%
-6.5%
1.3
📊 Neutral
Games
13
Win Rate
38.5%
Bias Score
-6.5%
43
#43A Miller
15
40.0%
-5.0%
1.7
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
44
#44J Miles
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
45
#45M Corlett
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
46
#46A Herczeg
5
40.0%
-5.0%
1.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
47
#47G Parsons
5
40.0%
-5.0%
2.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
48
#48M Dicicco
5
40.0%
-5.0%
2.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
49
#49D Deadman
10
40.0%
-5.0%
1.0
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
50
#50S Mathieson
10
40.0%
-5.0%
0.8
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
51
#51S Rushton
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
52
#52R Olivier
5
40.0%
-5.0%
1.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
53
#53M Brown
7
42.9%
-2.1%
1.6
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
54
#54J Moss
7
42.9%
-2.1%
1.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
55
#55D Richardson
9
44.4%
-0.6%
1.2
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
56
#56K Evans
9
44.4%
-0.6%
2.0
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
57
#57G Rhodes
11
45.5%
+0.5%
1.8
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
58
#58S Jackson
10
50.0%
+5.0%
2.1
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
59
#59T Parsons
10
50.0%
+5.0%
2.1
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
60
#60S Mather
8
50.0%
+5.0%
1.5
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
61
#61L Smith
10
50.0%
+5.0%
1.9
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
62
#62G Ward
8
50.0%
+5.0%
1.5
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
63
#63P Tierney
6
50.0%
+5.0%
1.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
64
#64D Foster
6
50.0%
+5.0%
1.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
65
#65M Russell
15
53.3%
+8.3%
1.1
📊 Neutral
Games
15
Win Rate
53.3%
Bias Score
+8.3%
66
#66G Eltringham
9
55.6%
+10.6%
1.0
✅ Favorable
Games
9
Win Rate
55.6%
Bias Score
+10.6%
67
#67C Boyeson
17
58.8%
+13.8%
1.6
✅ Favorable
Games
17
Win Rate
58.8%
Bias Score
+13.8%
68
#68G Rollason
5
60.0%
+15.0%
1.4
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
69
#69A Quelch
5
60.0%
+15.0%
1.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
70
#70K Johnson
5
60.0%
+15.0%
1.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
71
#71C Oliver
5
60.0%
+15.0%
1.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
72
#72M Thorpe
5
60.0%
+15.0%
1.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
73
#73G Salisbury
13
61.5%
+16.5%
1.1
✅ Favorable
Games
13
Win Rate
61.5%
Bias Score
+16.5%
74
#74A Jackson
8
62.5%
+17.5%
1.8
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
75
#75P Marsden
6
66.7%
+21.7%
1.8
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
76
#76M Haywood
9
66.7%
+21.7%
1.1
✅ Favorable
Games
9
Win Rate
66.7%
Bias Score
+21.7%
77
#77S Copeland
10
70.0%
+25.0%
1.0
✅ Favorable
Games
10
Win Rate
70.0%
Bias Score
+25.0%
78
#78N Swarbrick
8
75.0%
+30.0%
1.3
✅ Favorable
Games
8
Win Rate
75.0%
Bias Score
+30.0%
79
#79A Humphries
5
80.0%
+35.0%
1.2
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
80
#80S Simpson
5
100.0%
+55.0%
3.0
✅ Favorable
Games
5
Win Rate
100.0%
Bias Score
+55.0%
Note: Showing 80 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.