⚽ Team Analysis
WatfordReferee Analysis
Analysis of 163 referees across 1000 matches
163
Referees
1000
Matches
⚠️
Most Biased Against
R Ricardo
Bias Score: -45.0%•2 games
✅
Most Favorable
M Brandwood
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Watford examines 163 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 Ricardo ranks as the most biased against Watford with a -45.0% bias score over 2 matches. Conversely, M Brandwood 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 Styles
7
0.0%
-45.0%
1.1
🚨 Strong Bias
Games
7
Win Rate
0.0%
Bias Score
-45.0%
2
#2C Pawson
18
5.6%
-39.4%
1.9
🚨 Strong Bias
Games
18
Win Rate
5.6%
Bias Score
-39.4%
3
#3K Friend
18
11.1%
-33.9%
1.7
🚨 Strong Bias
Games
18
Win Rate
11.1%
Bias Score
-33.9%
4
#4M Clattenburg
8
12.5%
-32.5%
1.6
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
5
#5M Jones
15
13.3%
-31.7%
1.9
🚨 Strong Bias
Games
15
Win Rate
13.3%
Bias Score
-31.7%
6
#6E Ilderton
7
14.3%
-30.7%
1.4
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
7
#7P Dowd
7
14.3%
-30.7%
1.0
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
8
#8P Armstrong
7
14.3%
-30.7%
1.0
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
9
#9S Attwell
6
16.7%
-28.3%
1.7
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
10
#10J Gillett
6
16.7%
-28.3%
2.0
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
11
#11G Laws
6
16.7%
-28.3%
0.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
12
#12R Beeby
6
16.7%
-28.3%
0.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
13
#13C Foy
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
14
#14R Madley
17
17.6%
-27.4%
1.4
🚨 Strong Bias
Games
17
Win Rate
17.6%
Bias Score
-27.4%
15
#15S Martin
10
20.0%
-25.0%
2.2
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
16
#16M Oliver
20
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
20
Win Rate
20.0%
Bias Score
-25.0%
17
#17D Coote
5
20.0%
-25.0%
3.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18K Hill
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
19
#19M Halsey
5
20.0%
-25.0%
0.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
20
#20A Kaye
5
20.0%
-25.0%
0.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
21
#21M Dean
24
20.8%
-24.2%
2.0
🚨 Strong Bias
Games
24
Win Rate
20.8%
Bias Score
-24.2%
22
#22P Walton
9
22.2%
-22.8%
1.0
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
23
#23L Doughty
8
25.0%
-20.0%
2.1
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
24
#24A Bates
8
25.0%
-20.0%
0.8
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
25
#25N Miller
8
25.0%
-20.0%
1.1
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
26
#26A Taylor
23
26.1%
-18.9%
2.4
⚠️ Potential Bias
Games
23
Win Rate
26.1%
Bias Score
-18.9%
27
#27D Webb
15
26.7%
-18.3%
1.9
⚠️ Potential Bias
Games
15
Win Rate
26.7%
Bias Score
-18.3%
28
#28D Deadman
7
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
29
#29U Rennie
7
28.6%
-16.4%
1.1
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
30
#30M Atkinson
24
29.2%
-15.8%
1.6
⚠️ Potential Bias
Games
24
Win Rate
29.2%
Bias Score
-15.8%
31
#31G Scott
20
30.0%
-15.0%
1.6
⚠️ Potential Bias
Games
20
Win Rate
30.0%
Bias Score
-15.0%
32
#32S Mathieson
10
30.0%
-15.0%
0.9
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
33
#33I Williamson
10
30.0%
-15.0%
2.1
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
34
#34J Moss
22
31.8%
-13.2%
2.2
⚠️ Potential Bias
Games
22
Win Rate
31.8%
Bias Score
-13.2%
35
#35A Woolmer
6
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
36
#36C Boyeson
9
33.3%
-11.7%
0.6
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
37
#37H Webb
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
38
#38P Tierney
23
34.8%
-10.2%
1.4
⚠️ Potential Bias
Games
23
Win Rate
34.8%
Bias Score
-10.2%
39
#39D Whitestone
14
35.7%
-9.3%
1.1
📊 Neutral
Games
14
Win Rate
35.7%
Bias Score
-9.3%
40
#40N Swarbrick
11
36.4%
-8.6%
1.3
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
41
#41J Smith
8
37.5%
-7.5%
2.6
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
42
#42D Bond
8
37.5%
-7.5%
1.3
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
43
#43T Nield
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
44
#44R East
20
40.0%
-5.0%
1.6
📊 Neutral
Games
20
Win Rate
40.0%
Bias Score
-5.0%
45
#45T Kettle
10
40.0%
-5.0%
1.8
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
46
#46A Hall
12
41.7%
-3.3%
2.0
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
47
#47O Langford
14
42.9%
-2.1%
1.7
📊 Neutral
Games
14
Win Rate
42.9%
Bias Score
-2.1%
48
#48A Kitchen
7
42.9%
-2.1%
1.9
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
49
#49A Marriner
21
42.9%
-2.1%
1.8
📊 Neutral
Games
21
Win Rate
42.9%
Bias Score
-2.1%
50
#50L Mason
21
42.9%
-2.1%
1.6
📊 Neutral
Games
21
Win Rate
42.9%
Bias Score
-2.1%
51
#51K Stroud
23
43.5%
-1.5%
2.6
📊 Neutral
Games
23
Win Rate
43.5%
Bias Score
-1.5%
52
#52G Ward
16
43.8%
-1.3%
1.4
📊 Neutral
Games
16
Win Rate
43.8%
Bias Score
-1.3%
53
#53S Hooper
16
43.8%
-1.3%
1.9
📊 Neutral
Games
16
Win Rate
43.8%
Bias Score
-1.3%
54
#54C Kavanagh
9
44.4%
-0.6%
2.1
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
55
#55A D'Urso
11
45.5%
+0.5%
1.6
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
56
#56J Busby
6
50.0%
+5.0%
2.2
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
57
#57J Simpson
6
50.0%
+5.0%
2.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
58
#58D England
6
50.0%
+5.0%
1.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
59
#59T Robinson
8
50.0%
+5.0%
1.9
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
60
#60F Graham
8
50.0%
+5.0%
0.8
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
61
#61G Salisbury
12
50.0%
+5.0%
1.7
📊 Neutral
Games
12
Win Rate
50.0%
Bias Score
+5.0%
62
#62C Webster
10
50.0%
+5.0%
1.5
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
63
#63K Wright
6
50.0%
+5.0%
0.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
64
#64P Crossley
8
50.0%
+5.0%
0.8
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
65
#65C Penton
10
50.0%
+5.0%
1.1
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
66
#66J Linington
17
52.9%
+7.9%
2.1
📊 Neutral
Games
17
Win Rate
52.9%
Bias Score
+7.9%
67
#67L Probert
13
53.8%
+8.8%
0.8
📊 Neutral
Games
13
Win Rate
53.8%
Bias Score
+8.8%
68
#68A Penn
7
57.1%
+12.1%
0.4
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
69
#69A Davies
5
60.0%
+15.0%
2.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
70
#70M Haywood
8
62.5%
+17.5%
1.0
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
71
#71M Donohue
6
66.7%
+21.7%
2.2
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
72
#72A Madley
6
66.7%
+21.7%
2.0
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
73
#73G Eltringham
8
75.0%
+30.0%
1.1
✅ Favorable
Games
8
Win Rate
75.0%
Bias Score
+30.0%
Note: Showing 73 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.