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⚽ Team Analysis
WatfordReferee Analysis
Analysis of 183 referees across 1000 matches
183
Referees
1000
Matches
⚠️
Most Biased Against
R Ricardo
Bias Score: -45.0%•2 games
✅
Most Favorable
Brandwood, M. J.
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Watford examines 183 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, Brandwood, M. J. 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
6
0.0%
-45.0%
1.3
🚨 Strong Bias
Games
6
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
#5P Walton
8
12.5%
-32.5%
0.9
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
6
#6M Jones
15
13.3%
-31.7%
1.9
🚨 Strong Bias
Games
15
Win Rate
13.3%
Bias Score
-31.7%
7
#7E Ilderton
7
14.3%
-30.7%
1.4
🚨 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
#11P Dowd
6
16.7%
-28.3%
0.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
12
#12C Foy
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
13
#13R Madley
17
17.6%
-27.4%
1.4
🚨 Strong Bias
Games
17
Win Rate
17.6%
Bias Score
-27.4%
14
#14S Martin
10
20.0%
-25.0%
2.2
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
15
#15M Oliver
20
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
20
Win Rate
20.0%
Bias Score
-25.0%
16
#16D Coote
5
20.0%
-25.0%
3.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
17
#17G Laws
5
20.0%
-25.0%
0.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18R Beeby
5
20.0%
-25.0%
0.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
19
#19H Webb
5
20.0%
-25.0%
1.6
🚨 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
#22L Doughty
8
25.0%
-20.0%
2.1
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
23
#23A Bates
8
25.0%
-20.0%
0.8
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
24
#24N Miller
8
25.0%
-20.0%
1.1
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
25
#25A Taylor
23
26.1%
-18.9%
2.4
⚠️ Potential Bias
Games
23
Win Rate
26.1%
Bias Score
-18.9%
26
#26D Webb
15
26.7%
-18.3%
1.9
⚠️ Potential Bias
Games
15
Win Rate
26.7%
Bias Score
-18.3%
27
#27D Deadman
7
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
28
#28U Rennie
7
28.6%
-16.4%
1.1
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
29
#29M Atkinson
24
29.2%
-15.8%
1.6
⚠️ Potential Bias
Games
24
Win Rate
29.2%
Bias Score
-15.8%
30
#30G Scott
20
30.0%
-15.0%
1.6
⚠️ Potential Bias
Games
20
Win Rate
30.0%
Bias Score
-15.0%
31
#31S Mathieson
10
30.0%
-15.0%
0.9
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
32
#32I Williamson
10
30.0%
-15.0%
2.1
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
33
#33J Moss
22
31.8%
-13.2%
2.2
⚠️ Potential Bias
Games
22
Win Rate
31.8%
Bias Score
-13.2%
34
#34A Woolmer
6
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
35
#35C Boyeson
9
33.3%
-11.7%
0.6
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
36
#36P Tierney
23
34.8%
-10.2%
1.4
⚠️ Potential Bias
Games
23
Win Rate
34.8%
Bias Score
-10.2%
37
#37D Whitestone
14
35.7%
-9.3%
1.1
📊 Neutral
Games
14
Win Rate
35.7%
Bias Score
-9.3%
38
#38N Swarbrick
11
36.4%
-8.6%
1.3
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
39
#39J Smith
8
37.5%
-7.5%
2.6
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
40
#40D Bond
8
37.5%
-7.5%
1.3
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
41
#41T Nield
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
42
#42R East
20
40.0%
-5.0%
1.6
📊 Neutral
Games
20
Win Rate
40.0%
Bias Score
-5.0%
43
#43T Kettle
10
40.0%
-5.0%
1.8
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
44
#44O Langford
14
42.9%
-2.1%
1.7
📊 Neutral
Games
14
Win Rate
42.9%
Bias Score
-2.1%
45
#45A Kitchen
7
42.9%
-2.1%
1.9
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
46
#46A Marriner
21
42.9%
-2.1%
1.8
📊 Neutral
Games
21
Win Rate
42.9%
Bias Score
-2.1%
47
#47L Mason
21
42.9%
-2.1%
1.6
📊 Neutral
Games
21
Win Rate
42.9%
Bias Score
-2.1%
48
#48K Stroud
23
43.5%
-1.5%
2.6
📊 Neutral
Games
23
Win Rate
43.5%
Bias Score
-1.5%
49
#49G Ward
16
43.8%
-1.3%
1.4
📊 Neutral
Games
16
Win Rate
43.8%
Bias Score
-1.3%
50
#50S Hooper
16
43.8%
-1.3%
1.9
📊 Neutral
Games
16
Win Rate
43.8%
Bias Score
-1.3%
51
#51C Kavanagh
9
44.4%
-0.6%
2.1
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
52
#52A D'Urso
11
45.5%
+0.5%
1.6
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
53
#53J Busby
6
50.0%
+5.0%
2.2
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
54
#54J Simpson
6
50.0%
+5.0%
2.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
55
#55D England
6
50.0%
+5.0%
1.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
56
#56T Robinson
8
50.0%
+5.0%
1.9
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
57
#57F Graham
8
50.0%
+5.0%
0.8
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
58
#58G Salisbury
12
50.0%
+5.0%
1.7
📊 Neutral
Games
12
Win Rate
50.0%
Bias Score
+5.0%
59
#59C Webster
10
50.0%
+5.0%
1.5
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
60
#60K Wright
6
50.0%
+5.0%
0.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
61
#61P Crossley
8
50.0%
+5.0%
0.8
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
62
#62A Hall
10
50.0%
+5.0%
2.1
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
63
#63C Penton
10
50.0%
+5.0%
1.1
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
64
#64J Linington
17
52.9%
+7.9%
2.1
📊 Neutral
Games
17
Win Rate
52.9%
Bias Score
+7.9%
65
#65L Probert
13
53.8%
+8.8%
0.8
📊 Neutral
Games
13
Win Rate
53.8%
Bias Score
+8.8%
66
#66A Davies
5
60.0%
+15.0%
2.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
67
#67M Haywood
8
62.5%
+17.5%
1.0
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
68
#68M Donohue
6
66.7%
+21.7%
2.2
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
69
#69A Madley
6
66.7%
+21.7%
2.0
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
70
#70A Penn
6
66.7%
+21.7%
0.3
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
71
#71G Eltringham
8
75.0%
+30.0%
1.1
✅ Favorable
Games
8
Win Rate
75.0%
Bias Score
+30.0%
Note: Showing 71 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.