⚽ Team Analysis
BarnsleyReferee Analysis
Analysis of 196 referees across 1000 matches
196
Referees
1000
Matches
⚠️
Most Biased Against
B Atkinson
Bias Score: -45.0%•2 games
✅
Most Favorable
J Robinson
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Barnsley examines 196 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. B Atkinson ranks as the most biased against Barnsley with a -45.0% bias score over 2 matches. Conversely, J Robinson 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
#1G Sutton
5
0.0%
-45.0%
0.6
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
2
#2D Phillips
5
0.0%
-45.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
3
#3A Penn
10
10.0%
-35.0%
1.3
🚨 Strong Bias
Games
10
Win Rate
10.0%
Bias Score
-35.0%
4
#4C Webster
18
11.1%
-33.9%
1.6
🚨 Strong Bias
Games
18
Win Rate
11.1%
Bias Score
-33.9%
5
#5K Hill
8
12.5%
-32.5%
2.3
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
6
#6P Bankes
7
14.3%
-30.7%
0.9
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
7
#7M Russell
7
14.3%
-30.7%
1.9
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
8
#8G Laws
7
14.3%
-30.7%
2.1
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
9
#9T Robinson
13
15.4%
-29.6%
1.7
🚨 Strong Bias
Games
13
Win Rate
15.4%
Bias Score
-29.6%
10
#10B Speedie
6
16.7%
-28.3%
2.7
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
11
#11C Breakspear
6
16.7%
-28.3%
1.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
12
#12P Tierney
6
16.7%
-28.3%
2.2
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
13
#13C Kavanagh
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
14
#14M Clattenburg
6
16.7%
-28.3%
1.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
15
#15A Hall
6
16.7%
-28.3%
2.0
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
16
#16L Doughty
10
20.0%
-25.0%
2.4
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
17
#17J Smith
5
20.0%
-25.0%
2.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18J Gillett
5
20.0%
-25.0%
2.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
19
#19L Probert
10
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
20
#20J Adcock
5
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
21
#21A D'Urso
10
20.0%
-25.0%
1.5
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
22
#22G Hegley
5
20.0%
-25.0%
0.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
23
#23M Oliver
5
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
24
#24M Halsey
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
25
#25A Bates
14
21.4%
-23.6%
1.4
🚨 Strong Bias
Games
14
Win Rate
21.4%
Bias Score
-23.6%
26
#26R Beeby
9
22.2%
-22.8%
1.4
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
27
#27A Marriner
8
25.0%
-20.0%
1.6
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
28
#28J Simpson
15
26.7%
-18.3%
1.5
⚠️ Potential Bias
Games
15
Win Rate
26.7%
Bias Score
-18.3%
29
#29E Ilderton
15
26.7%
-18.3%
1.1
⚠️ Potential Bias
Games
15
Win Rate
26.7%
Bias Score
-18.3%
30
#30D Coote
11
27.3%
-17.7%
2.0
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
31
#31T Kettle
11
27.3%
-17.7%
2.6
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
32
#32M Salisbury
7
28.6%
-16.4%
1.3
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
33
#33C Penton
7
28.6%
-16.4%
1.9
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
34
#34G Ward
10
30.0%
-15.0%
1.8
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
35
#35S Hooper
10
30.0%
-15.0%
1.6
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
36
#36S Stockbridge
13
30.8%
-14.2%
1.5
⚠️ Potential Bias
Games
13
Win Rate
30.8%
Bias Score
-14.2%
37
#37A Davies
13
30.8%
-14.2%
1.5
⚠️ Potential Bias
Games
13
Win Rate
30.8%
Bias Score
-14.2%
38
#38M Coy
9
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
39
#39S Mather
6
33.3%
-11.7%
2.2
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
40
#40T Parsons
6
33.3%
-11.7%
2.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
41
#41A Woolmer
15
33.3%
-11.7%
1.1
⚠️ Potential Bias
Games
15
Win Rate
33.3%
Bias Score
-11.7%
42
#42O Langford
12
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
43
#43S Duncan
9
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
44
#44N Swarbrick
12
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
45
#45K Friend
9
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
46
#46P Joslin
6
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
47
#47S Martin
17
35.3%
-9.7%
1.4
📊 Neutral
Games
17
Win Rate
35.3%
Bias Score
-9.7%
48
#48K Stroud
17
35.3%
-9.7%
2.1
📊 Neutral
Games
17
Win Rate
35.3%
Bias Score
-9.7%
49
#49C Boyeson
14
35.7%
-9.3%
1.9
📊 Neutral
Games
14
Win Rate
35.7%
Bias Score
-9.3%
50
#50S Mathieson
11
36.4%
-8.6%
1.1
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
51
#51G Eltringham
16
37.5%
-7.5%
1.7
📊 Neutral
Games
16
Win Rate
37.5%
Bias Score
-7.5%
52
#52D Bond
16
37.5%
-7.5%
1.7
📊 Neutral
Games
16
Win Rate
37.5%
Bias Score
-7.5%
53
#53D Deadman
8
37.5%
-7.5%
1.6
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
54
#54D Webb
13
38.5%
-6.5%
1.1
📊 Neutral
Games
13
Win Rate
38.5%
Bias Score
-6.5%
55
#55D Whitestone
18
38.9%
-6.1%
1.6
📊 Neutral
Games
18
Win Rate
38.9%
Bias Score
-6.1%
56
#56D Drysdale
15
40.0%
-5.0%
1.3
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
57
#57O Yates
5
40.0%
-5.0%
2.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
58
#58D Rock
5
40.0%
-5.0%
3.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
59
#59G Scott
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
60
#60P Taylor
5
40.0%
-5.0%
1.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
61
#61J Linington
19
42.1%
-2.9%
1.6
📊 Neutral
Games
19
Win Rate
42.1%
Bias Score
-2.9%
62
#62R Jones
7
42.9%
-2.1%
2.6
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
63
#63S Tanner
7
42.9%
-2.1%
2.4
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
64
#64R Booth
7
42.9%
-2.1%
2.0
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
65
#65M Donohue
9
44.4%
-0.6%
1.7
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
66
#66A Madley
9
44.4%
-0.6%
1.6
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
67
#67L Mason
11
45.5%
+0.5%
1.9
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
68
#68K Wright
11
45.5%
+0.5%
1.9
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
69
#69T Harrington
15
46.7%
+1.7%
1.6
📊 Neutral
Games
15
Win Rate
46.7%
Bias Score
+1.7%
70
#70A Haines
8
50.0%
+5.0%
1.6
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
71
#71M Jones
6
50.0%
+5.0%
3.0
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
72
#72P Gibbs
6
50.0%
+5.0%
0.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
73
#73J Busby
7
57.1%
+12.1%
2.0
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
74
#74I Williamson
7
57.1%
+12.1%
1.7
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
75
#75R Joyce
12
58.3%
+13.3%
1.6
✅ Favorable
Games
12
Win Rate
58.3%
Bias Score
+13.3%
76
#76N Miller
17
58.8%
+13.8%
1.2
✅ Favorable
Games
17
Win Rate
58.8%
Bias Score
+13.8%
77
#77C Brook
5
60.0%
+15.0%
1.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
78
#78S Oldham
5
60.0%
+15.0%
1.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
79
#79G Salisbury
15
60.0%
+15.0%
2.2
✅ Favorable
Games
15
Win Rate
60.0%
Bias Score
+15.0%
80
#80D Bourne
7
71.4%
+26.4%
2.4
✅ Favorable
Games
7
Win Rate
71.4%
Bias Score
+26.4%
81
#81P Armstrong
5
80.0%
+35.0%
1.2
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
Note: Showing 81 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.