⚽ Team Analysis
SouthamptonReferee Analysis
Analysis of 141 referees across 1000 matches
141
Referees
1000
Matches
⚠️
Most Biased Against
L Doughty
Bias Score: -45.0%•1 games
✅
Most Favorable
D Pugh
Bias Score: +55.0%•2 games
Our comprehensive referee bias analysis for Southampton examines 141 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. L Doughty ranks as the most biased against Southampton with a -45.0% bias score over 1 matches. Conversely, D Pugh 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
#1T Harrington
6
0.0%
-45.0%
1.7
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
2
#2T Bramall
6
0.0%
-45.0%
2.8
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
3
#3S Tanner
6
0.0%
-45.0%
1.8
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
4
#4S Dunn
7
0.0%
-45.0%
1.4
🚨 Strong Bias
Games
7
Win Rate
0.0%
Bias Score
-45.0%
5
#5B Knight
5
0.0%
-45.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
6
#6M Salisbury
9
11.1%
-33.9%
1.9
🚨 Strong Bias
Games
9
Win Rate
11.1%
Bias Score
-33.9%
7
#7R Jones
9
11.1%
-33.9%
1.4
🚨 Strong Bias
Games
9
Win Rate
11.1%
Bias Score
-33.9%
8
#8D England
8
12.5%
-32.5%
1.5
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
9
#9P Tierney
14
14.3%
-30.7%
2.0
🚨 Strong Bias
Games
14
Win Rate
14.3%
Bias Score
-30.7%
10
#10N Barry
7
14.3%
-30.7%
1.1
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
11
#11M Donohue
6
16.7%
-28.3%
2.2
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
12
#12C Penton
6
16.7%
-28.3%
1.2
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
13
#13M Messias
6
16.7%
-28.3%
2.5
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
14
#14A Taylor
29
17.2%
-27.8%
1.5
🚨 Strong Bias
Games
29
Win Rate
17.2%
Bias Score
-27.8%
15
#15L Mason
22
18.2%
-26.8%
1.9
🚨 Strong Bias
Games
22
Win Rate
18.2%
Bias Score
-26.8%
16
#16P Dowd
16
18.8%
-26.3%
1.5
🚨 Strong Bias
Games
16
Win Rate
18.8%
Bias Score
-26.3%
17
#17J Smith
5
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18M Clattenburg
20
20.0%
-25.0%
2.1
🚨 Strong Bias
Games
20
Win Rate
20.0%
Bias Score
-25.0%
19
#19P Taylor
5
20.0%
-25.0%
0.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
20
#20G Barber
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
21
#21C Foy
14
21.4%
-23.6%
1.1
🚨 Strong Bias
Games
14
Win Rate
21.4%
Bias Score
-23.6%
22
#22M Jones
22
22.7%
-22.3%
1.6
🚨 Strong Bias
Games
22
Win Rate
22.7%
Bias Score
-22.3%
23
#23N Swarbrick
13
23.1%
-21.9%
1.5
🚨 Strong Bias
Games
13
Win Rate
23.1%
Bias Score
-21.9%
24
#24M Dean
29
24.1%
-20.9%
1.7
🚨 Strong Bias
Games
29
Win Rate
24.1%
Bias Score
-20.9%
25
#25S Hooper
12
25.0%
-20.0%
2.1
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
26
#26D Deadman
8
25.0%
-20.0%
1.4
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
27
#27U Rennie
12
25.0%
-20.0%
1.3
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
28
#28H Webb
11
27.3%
-17.7%
1.4
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
29
#29L Probert
18
27.8%
-17.2%
1.7
⚠️ Potential Bias
Games
18
Win Rate
27.8%
Bias Score
-17.2%
30
#30S Mathieson
7
28.6%
-16.4%
1.0
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
31
#31P Durkin
7
28.6%
-16.4%
1.0
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
32
#32S Attwell
20
30.0%
-15.0%
1.3
⚠️ Potential Bias
Games
20
Win Rate
30.0%
Bias Score
-15.0%
33
#33G Scott
22
31.8%
-13.2%
1.4
⚠️ Potential Bias
Games
22
Win Rate
31.8%
Bias Score
-13.2%
34
#34A Marriner
33
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
33
Win Rate
33.3%
Bias Score
-11.7%
35
#35S Bennett
12
33.3%
-11.7%
1.6
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
36
#36J Winter
6
33.3%
-11.7%
0.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
37
#37K Friend
28
35.7%
-9.3%
1.3
📊 Neutral
Games
28
Win Rate
35.7%
Bias Score
-9.3%
38
#38A D'Urso
19
36.8%
-8.2%
0.9
📊 Neutral
Games
19
Win Rate
36.8%
Bias Score
-8.2%
39
#39C Kavanagh
8
37.5%
-7.5%
1.6
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
40
#40N Miller
8
37.5%
-7.5%
1.8
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
41
#41I Williamson
8
37.5%
-7.5%
1.8
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
42
#42R Madley
15
40.0%
-5.0%
2.0
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
43
#43P Bankes
10
40.0%
-5.0%
1.4
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
44
#44R East
15
40.0%
-5.0%
1.5
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
45
#45F Graham
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
46
#46C Webster
5
40.0%
-5.0%
2.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
47
#47A Woolmer
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
48
#48P Crossley
5
40.0%
-5.0%
1.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
49
#49A Madley
12
41.7%
-3.3%
1.3
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
50
#50C Pawson
21
42.9%
-2.1%
1.8
📊 Neutral
Games
21
Win Rate
42.9%
Bias Score
-2.1%
51
#51J Moss
35
42.9%
-2.1%
1.5
📊 Neutral
Games
35
Win Rate
42.9%
Bias Score
-2.1%
52
#52M Atkinson
21
42.9%
-2.1%
1.7
📊 Neutral
Games
21
Win Rate
42.9%
Bias Score
-2.1%
53
#53R Beeby
7
42.9%
-2.1%
0.7
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
54
#54M Riley
7
42.9%
-2.1%
1.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
55
#55D Gallagher
7
42.9%
-2.1%
1.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
56
#56O Langford
9
44.4%
-0.6%
2.3
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
57
#57D Coote
9
44.4%
-0.6%
3.0
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
58
#58M Halsey
18
44.4%
-0.6%
1.1
📊 Neutral
Games
18
Win Rate
44.4%
Bias Score
-0.6%
59
#59A Wiley
9
44.4%
-0.6%
0.9
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
60
#60M Oliver
26
46.2%
+1.2%
1.6
📊 Neutral
Games
26
Win Rate
46.2%
Bias Score
+1.2%
61
#61D Whitestone
6
50.0%
+5.0%
1.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
62
#62T Kettle
6
50.0%
+5.0%
1.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
63
#63P Walton
10
50.0%
+5.0%
1.4
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
64
#64K Wright
6
50.0%
+5.0%
1.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
65
#65G Poll
8
50.0%
+5.0%
1.1
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
66
#66A Bates
11
54.5%
+9.5%
2.0
📊 Neutral
Games
11
Win Rate
54.5%
Bias Score
+9.5%
67
#67D Webb
9
55.6%
+10.6%
1.8
✅ Favorable
Games
9
Win Rate
55.6%
Bias Score
+10.6%
68
#68J Brooks
5
60.0%
+15.0%
3.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
69
#69G Salisbury
5
60.0%
+15.0%
1.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
70
#70M Russell
10
60.0%
+15.0%
0.7
✅ Favorable
Games
10
Win Rate
60.0%
Bias Score
+15.0%
71
#71G Hegley
5
60.0%
+15.0%
0.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
72
#72G Ward
5
80.0%
+35.0%
0.4
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
73
#73M Thorpe
6
83.3%
+38.3%
0.8
✅ Favorable
Games
6
Win Rate
83.3%
Bias Score
+38.3%
74
#74J Bell
7
85.7%
+40.7%
2.0
✅ Favorable
Games
7
Win Rate
85.7%
Bias Score
+40.7%
75
#75D McDermid
5
100.0%
+55.0%
1.2
✅ Favorable
Games
5
Win Rate
100.0%
Bias Score
+55.0%
Note: Showing 75 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.