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⚽ Team Analysis
SouthamptonReferee Analysis
Analysis of 167 referees across 1000 matches
167
Referees
1000
Matches
⚠️
Most Biased Against
L Doughty
Bias Score: -45.0%•1 games
✅
Most Favorable
D. J. Gallagher
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Southampton examines 167 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. J. Gallagher 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
#4M Salisbury
9
11.1%
-33.9%
1.9
🚨 Strong Bias
Games
9
Win Rate
11.1%
Bias Score
-33.9%
5
#5R Jones
9
11.1%
-33.9%
1.4
🚨 Strong Bias
Games
9
Win Rate
11.1%
Bias Score
-33.9%
6
#6D England
8
12.5%
-32.5%
1.5
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
7
#7P Tierney
14
14.3%
-30.7%
2.0
🚨 Strong Bias
Games
14
Win Rate
14.3%
Bias Score
-30.7%
8
#8P Dowd
14
14.3%
-30.7%
1.6
🚨 Strong Bias
Games
14
Win Rate
14.3%
Bias Score
-30.7%
9
#9M Donohue
6
16.7%
-28.3%
2.2
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
10
#10C Penton
6
16.7%
-28.3%
1.2
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
11
#11A Taylor
29
17.2%
-27.8%
1.5
🚨 Strong Bias
Games
29
Win Rate
17.2%
Bias Score
-27.8%
12
#12L Mason
22
18.2%
-26.8%
1.9
🚨 Strong Bias
Games
22
Win Rate
18.2%
Bias Score
-26.8%
13
#13J Smith
5
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
14
#14M Clattenburg
20
20.0%
-25.0%
2.1
🚨 Strong Bias
Games
20
Win Rate
20.0%
Bias Score
-25.0%
15
#15P Taylor
5
20.0%
-25.0%
0.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
16
#16N Barry
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
17
#17M Messias
5
20.0%
-25.0%
2.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18C Foy
14
21.4%
-23.6%
1.1
🚨 Strong Bias
Games
14
Win Rate
21.4%
Bias Score
-23.6%
19
#19M Jones
22
22.7%
-22.3%
1.6
🚨 Strong Bias
Games
22
Win Rate
22.7%
Bias Score
-22.3%
20
#20N Swarbrick
13
23.1%
-21.9%
1.5
🚨 Strong Bias
Games
13
Win Rate
23.1%
Bias Score
-21.9%
21
#21S Hooper
12
25.0%
-20.0%
2.1
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
22
#22M Dean
28
25.0%
-20.0%
1.7
🚨 Strong Bias
Games
28
Win Rate
25.0%
Bias Score
-20.0%
23
#23D Deadman
8
25.0%
-20.0%
1.4
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
24
#24H Webb
11
27.3%
-17.7%
1.4
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
25
#25L Probert
18
27.8%
-17.2%
1.7
⚠️ Potential Bias
Games
18
Win Rate
27.8%
Bias Score
-17.2%
26
#26S Mathieson
7
28.6%
-16.4%
1.0
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
27
#27S Attwell
20
30.0%
-15.0%
1.3
⚠️ Potential Bias
Games
20
Win Rate
30.0%
Bias Score
-15.0%
28
#28U Rennie
10
30.0%
-15.0%
1.2
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
29
#29S Bennett
10
30.0%
-15.0%
1.7
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
30
#30G Scott
22
31.8%
-13.2%
1.4
⚠️ Potential Bias
Games
22
Win Rate
31.8%
Bias Score
-13.2%
31
#31A Marriner
33
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
33
Win Rate
33.3%
Bias Score
-11.7%
32
#32G Poll
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
33
#33P Durkin
6
33.3%
-11.7%
1.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
34
#34D Gallagher
6
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
35
#35A D'Urso
17
35.3%
-9.7%
0.9
📊 Neutral
Games
17
Win Rate
35.3%
Bias Score
-9.7%
36
#36K Friend
28
35.7%
-9.3%
1.3
📊 Neutral
Games
28
Win Rate
35.7%
Bias Score
-9.3%
37
#37C Kavanagh
8
37.5%
-7.5%
1.6
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
38
#38N Miller
8
37.5%
-7.5%
1.8
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
39
#39I Williamson
8
37.5%
-7.5%
1.8
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
40
#40R Madley
15
40.0%
-5.0%
2.0
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
41
#41P Bankes
10
40.0%
-5.0%
1.4
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
42
#42R East
15
40.0%
-5.0%
1.5
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
43
#43F Graham
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
44
#44C Webster
5
40.0%
-5.0%
2.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
45
#45A Woolmer
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
46
#46P Crossley
5
40.0%
-5.0%
1.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
47
#47A Madley
12
41.7%
-3.3%
1.3
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
48
#48C Pawson
21
42.9%
-2.1%
1.8
📊 Neutral
Games
21
Win Rate
42.9%
Bias Score
-2.1%
49
#49J Moss
35
42.9%
-2.1%
1.5
📊 Neutral
Games
35
Win Rate
42.9%
Bias Score
-2.1%
50
#50M Atkinson
21
42.9%
-2.1%
1.7
📊 Neutral
Games
21
Win Rate
42.9%
Bias Score
-2.1%
51
#51R Beeby
7
42.9%
-2.1%
0.7
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
52
#52A Wiley
7
42.9%
-2.1%
0.9
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
53
#53M Riley
7
42.9%
-2.1%
1.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
54
#54O Langford
9
44.4%
-0.6%
2.3
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
55
#55D Coote
9
44.4%
-0.6%
3.0
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
56
#56M Oliver
26
46.2%
+1.2%
1.6
📊 Neutral
Games
26
Win Rate
46.2%
Bias Score
+1.2%
57
#57M Halsey
15
46.7%
+1.7%
1.0
📊 Neutral
Games
15
Win Rate
46.7%
Bias Score
+1.7%
58
#58D Whitestone
6
50.0%
+5.0%
1.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
59
#59T Kettle
6
50.0%
+5.0%
1.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
60
#60P Walton
10
50.0%
+5.0%
1.4
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
61
#61K Wright
6
50.0%
+5.0%
1.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
62
#62A Bates
11
54.5%
+9.5%
2.0
📊 Neutral
Games
11
Win Rate
54.5%
Bias Score
+9.5%
63
#63D Webb
9
55.6%
+10.6%
1.8
✅ Favorable
Games
9
Win Rate
55.6%
Bias Score
+10.6%
64
#64J Brooks
5
60.0%
+15.0%
3.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
65
#65G Salisbury
5
60.0%
+15.0%
1.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
66
#66M Russell
10
60.0%
+15.0%
0.7
✅ Favorable
Games
10
Win Rate
60.0%
Bias Score
+15.0%
67
#67G Hegley
5
60.0%
+15.0%
0.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
68
#68G Ward
5
80.0%
+35.0%
0.4
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
69
#69M Thorpe
6
83.3%
+38.3%
0.8
✅ Favorable
Games
6
Win Rate
83.3%
Bias Score
+38.3%
70
#70J Bell
7
85.7%
+40.7%
2.0
✅ Favorable
Games
7
Win Rate
85.7%
Bias Score
+40.7%
71
#71D McDermid
5
100.0%
+55.0%
1.2
✅ Favorable
Games
5
Win Rate
100.0%
Bias Score
+55.0%
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.