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⚽ Team Analysis
Nott'm ForestReferee Analysis
Analysis of 140 referees across 1000 matches
140
Referees
1000
Matches
⚠️
Most Biased Against
R Welch
Bias Score: -45.0%•1 games
✅
Most Favorable
J P Robinson
Bias Score: +55.0%•2 games
Our comprehensive referee bias analysis for Nott'm Forest examines 140 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. R Welch ranks as the most biased against Nott'm Forest with a -45.0% bias score over 1 matches. Conversely, J P 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
#1S Attwell
6
0.0%
-45.0%
2.7
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
2
#2A Haines
6
0.0%
-45.0%
0.8
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
3
#3M Naylor
5
0.0%
-45.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
4
#4P Dowd
6
0.0%
-45.0%
1.8
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
5
#5G Laws
10
10.0%
-35.0%
1.4
🚨 Strong Bias
Games
10
Win Rate
10.0%
Bias Score
-35.0%
6
#6A Marriner
7
14.3%
-30.7%
1.4
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
7
#7C Penton
6
16.7%
-28.3%
1.7
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
8
#8A Taylor
17
17.6%
-27.4%
2.4
🚨 Strong Bias
Games
17
Win Rate
17.6%
Bias Score
-27.4%
9
#9J Simpson
16
18.8%
-26.3%
2.1
🚨 Strong Bias
Games
16
Win Rate
18.8%
Bias Score
-26.3%
10
#10D Whitestone
10
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
11
#11L Mason
10
20.0%
-25.0%
1.9
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
12
#12D Drysdale
5
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
13
#13M Atkinson
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
14
#14C Kavanagh
18
22.2%
-22.8%
2.3
🚨 Strong Bias
Games
18
Win Rate
22.2%
Bias Score
-22.8%
15
#15K Wright
9
22.2%
-22.8%
1.7
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
16
#16P Taylor
9
22.2%
-22.8%
1.6
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
17
#17S Duncan
13
23.1%
-21.9%
2.3
🚨 Strong Bias
Games
13
Win Rate
23.1%
Bias Score
-21.9%
18
#18P Tierney
17
23.5%
-21.5%
1.6
🚨 Strong Bias
Games
17
Win Rate
23.5%
Bias Score
-21.5%
19
#19S Mathieson
12
25.0%
-20.0%
1.4
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
20
#20M Thorpe
8
25.0%
-20.0%
2.1
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
21
#21A Madley
19
26.3%
-18.7%
2.2
⚠️ Potential Bias
Games
19
Win Rate
26.3%
Bias Score
-18.7%
22
#22G Ward
11
27.3%
-17.7%
1.7
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
23
#23P Crossley
11
27.3%
-17.7%
2.5
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
24
#24G Eltringham
18
27.8%
-17.2%
1.9
⚠️ Potential Bias
Games
18
Win Rate
27.8%
Bias Score
-17.2%
25
#25C Pawson
14
28.6%
-16.4%
2.0
⚠️ Potential Bias
Games
14
Win Rate
28.6%
Bias Score
-16.4%
26
#26O Langford
21
28.6%
-16.4%
1.8
⚠️ Potential Bias
Games
21
Win Rate
28.6%
Bias Score
-16.4%
27
#27A Hall
7
28.6%
-16.4%
2.3
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
28
#28D Deadman
10
30.0%
-15.0%
2.0
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
29
#29A Davies
13
30.8%
-14.2%
2.1
⚠️ Potential Bias
Games
13
Win Rate
30.8%
Bias Score
-14.2%
30
#30G Salisbury
13
30.8%
-14.2%
1.5
⚠️ Potential Bias
Games
13
Win Rate
30.8%
Bias Score
-14.2%
31
#31M Oliver
16
31.3%
-13.8%
1.7
⚠️ Potential Bias
Games
16
Win Rate
31.3%
Bias Score
-13.8%
32
#32D England
16
31.3%
-13.8%
2.0
⚠️ Potential Bias
Games
16
Win Rate
31.3%
Bias Score
-13.8%
33
#33S Hooper
28
32.1%
-12.9%
2.0
⚠️ Potential Bias
Games
28
Win Rate
32.1%
Bias Score
-12.9%
34
#34J Smith
6
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
35
#35K Stroud
27
33.3%
-11.7%
1.9
⚠️ Potential Bias
Games
27
Win Rate
33.3%
Bias Score
-11.7%
36
#36A D'Urso
15
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
15
Win Rate
33.3%
Bias Score
-11.7%
37
#37J Linington
23
34.8%
-10.2%
1.6
⚠️ Potential Bias
Games
23
Win Rate
34.8%
Bias Score
-10.2%
38
#38R Jones
17
35.3%
-9.7%
2.2
📊 Neutral
Games
17
Win Rate
35.3%
Bias Score
-9.7%
39
#39A Bates
17
35.3%
-9.7%
1.4
📊 Neutral
Games
17
Win Rate
35.3%
Bias Score
-9.7%
40
#40D Webb
11
36.4%
-8.6%
1.6
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
41
#41A Woolmer
19
36.8%
-8.2%
1.4
📊 Neutral
Games
19
Win Rate
36.8%
Bias Score
-8.2%
42
#42K Friend
8
37.5%
-7.5%
2.0
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
43
#43L Probert
8
37.5%
-7.5%
2.0
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
44
#44A Penn
8
37.5%
-7.5%
1.0
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
45
#45G Hegley
8
37.5%
-7.5%
1.1
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
46
#46R Beeby
8
37.5%
-7.5%
1.6
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
47
#47J Moss
13
38.5%
-6.5%
1.5
📊 Neutral
Games
13
Win Rate
38.5%
Bias Score
-6.5%
48
#48J Brooks
5
40.0%
-5.0%
2.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
49
#49D Bond
15
40.0%
-5.0%
1.7
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
50
#50R East
5
40.0%
-5.0%
2.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
51
#51M Haywood
10
40.0%
-5.0%
1.1
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
52
#52M Halsey
5
40.0%
-5.0%
1.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
53
#53M Pike
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
54
#54B Curson
5
40.0%
-5.0%
1.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
55
#55M Ryan
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
56
#56F Graham
7
42.9%
-2.1%
1.0
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
57
#57M Russell
7
42.9%
-2.1%
1.4
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
58
#58S Tanner
7
42.9%
-2.1%
1.3
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
59
#59M Jones
9
44.4%
-0.6%
2.1
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
60
#60T Robinson
22
45.5%
+0.5%
1.9
📊 Neutral
Games
22
Win Rate
45.5%
Bias Score
+0.5%
61
#61T Harrington
19
47.4%
+2.4%
1.6
📊 Neutral
Games
19
Win Rate
47.4%
Bias Score
+2.4%
62
#62S Barrott
8
50.0%
+5.0%
1.8
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
63
#63P Bankes
22
50.0%
+5.0%
2.3
📊 Neutral
Games
22
Win Rate
50.0%
Bias Score
+5.0%
64
#64T Bramall
8
50.0%
+5.0%
1.8
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
65
#65G Scott
12
50.0%
+5.0%
1.3
📊 Neutral
Games
12
Win Rate
50.0%
Bias Score
+5.0%
66
#66S Martin
14
50.0%
+5.0%
1.1
📊 Neutral
Games
14
Win Rate
50.0%
Bias Score
+5.0%
67
#67E Ilderton
10
50.0%
+5.0%
0.6
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
68
#68N Miller
12
50.0%
+5.0%
1.6
📊 Neutral
Games
12
Win Rate
50.0%
Bias Score
+5.0%
69
#69M Clattenburg
8
50.0%
+5.0%
1.1
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
70
#70C Webster
8
50.0%
+5.0%
1.4
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
71
#71K Hill
13
53.8%
+8.8%
1.5
📊 Neutral
Games
13
Win Rate
53.8%
Bias Score
+8.8%
72
#72C Boyeson
11
54.5%
+9.5%
0.8
📊 Neutral
Games
11
Win Rate
54.5%
Bias Score
+9.5%
73
#73M Salisbury
5
60.0%
+15.0%
2.4
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
74
#74P Miller
5
60.0%
+15.0%
0.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
75
#75N Swarbrick
10
60.0%
+15.0%
1.1
✅ Favorable
Games
10
Win Rate
60.0%
Bias Score
+15.0%
76
#76C Oliver
5
60.0%
+15.0%
1.4
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
77
#77J Gillett
11
63.6%
+18.6%
1.6
✅ Favorable
Games
11
Win Rate
63.6%
Bias Score
+18.6%
78
#78I Williamson
11
63.6%
+18.6%
2.0
✅ Favorable
Games
11
Win Rate
63.6%
Bias Score
+18.6%
79
#79M Donohue
5
80.0%
+35.0%
1.4
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
Note: Showing 79 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.