⚽ Team Analysis
DarlingtonReferee Analysis
Analysis of 165 referees across 552 matches
165
Referees
552
Matches
⚠️
Most Biased Against
J Hopkins
Bias Score: -45.0%•2 games
✅
Most Favorable
M Riley
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Darlington examines 165 referees across 552 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 Hopkins ranks as the most biased against Darlington with a -45.0% bias score over 2 matches. Conversely, M Riley 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
#1R Lee
5
0.0%
-45.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
2
#2T Parkes
6
0.0%
-45.0%
2.5
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
3
#3B Curson
5
0.0%
-45.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
4
#4G Salisbury
12
8.3%
-36.7%
1.9
🚨 Strong Bias
Games
12
Win Rate
8.3%
Bias Score
-36.7%
5
#5M Jones
11
9.1%
-35.9%
1.6
🚨 Strong Bias
Games
11
Win Rate
9.1%
Bias Score
-35.9%
6
#6R West
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
7
#7S Stockbridge
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
8
#8N Swarbrick
6
16.7%
-28.3%
1.7
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
9
#9E Ilderton
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
10
#10M Ryan
6
16.7%
-28.3%
2.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
11
#11S Baines
6
16.7%
-28.3%
0.0
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
12
#12A Hall
11
18.2%
-26.8%
2.7
🚨 Strong Bias
Games
11
Win Rate
18.2%
Bias Score
-26.8%
13
#13D Handley
5
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
14
#14A Penn
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
15
#15G Sutton
5
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
16
#16K Wright
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
17
#17P Armstrong
5
20.0%
-25.0%
2.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18R Olivier
5
20.0%
-25.0%
2.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
19
#19M Fletcher
5
20.0%
-25.0%
3.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
20
#20P Danson
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
21
#21A Woolmer
8
25.0%
-20.0%
1.6
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
22
#22K Friend
7
28.6%
-16.4%
1.3
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
23
#23J Moss
10
30.0%
-15.0%
1.5
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
24
#24C Boyeson
13
30.8%
-14.2%
1.0
⚠️ Potential Bias
Games
13
Win Rate
30.8%
Bias Score
-14.2%
25
#25J Simpson
6
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
26
#26R Clark
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
27
#27M Haywood
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
28
#28F Stretton
6
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
29
#29A Bates
8
37.5%
-7.5%
1.6
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
30
#30P Robinson
8
37.5%
-7.5%
1.3
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
31
#31R Wigglesworth
5
40.0%
-5.0%
2.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
32
#32G Hegley
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
33
#33H Webb
5
40.0%
-5.0%
2.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
34
#34K Evans
7
42.9%
-2.1%
1.9
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
35
#35D Whitestone
7
42.9%
-2.1%
1.4
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
36
#36M Cowburn
7
42.9%
-2.1%
1.7
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
37
#37M Pike
11
45.5%
+0.5%
0.8
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
38
#38S Mathieson
17
47.1%
+2.1%
1.2
📊 Neutral
Games
17
Win Rate
47.1%
Bias Score
+2.1%
39
#39S Bratt
8
50.0%
+5.0%
1.5
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
40
#40G Laws
6
50.0%
+5.0%
0.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
41
#41A Butler
6
50.0%
+5.0%
2.2
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
42
#42M Cooper
6
50.0%
+5.0%
3.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
43
#43A Taylor
7
57.1%
+12.1%
0.9
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
44
#44P Joslin
7
57.1%
+12.1%
1.3
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
45
#45P Bankes
5
60.0%
+15.0%
1.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
46
#46M Russell
5
60.0%
+15.0%
1.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
47
#47R Shoebridge
5
60.0%
+15.0%
1.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
48
#48K Hill
5
60.0%
+15.0%
2.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
49
#49M Oliver
5
100.0%
+55.0%
0.8
✅ Favorable
Games
5
Win Rate
100.0%
Bias Score
+55.0%
Note: Showing 49 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.