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⚽ Team Analysis
Bristol RvsReferee Analysis
Analysis of 216 referees across 1000 matches
216
Referees
1000
Matches
⚠️
Most Biased Against
D Bourne
Bias Score: -45.0%•3 games
✅
Most Favorable
E Wolstenholme
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Bristol Rvs examines 216 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. D Bourne ranks as the most biased against Bristol Rvs with a -45.0% bias score over 3 matches. Conversely, E Wolstenholme 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
#1A Haines
6
0.0%
-45.0%
3.0
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
2
#2S Mathieson
6
0.0%
-45.0%
1.3
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
3
#3M Coy
8
12.5%
-32.5%
1.9
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
4
#4I Williamson
8
12.5%
-32.5%
1.6
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
5
#5S Mather
7
14.3%
-30.7%
1.7
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
6
#6J Busby
7
14.3%
-30.7%
1.9
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
7
#7S Martin
6
16.7%
-28.3%
0.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
8
#8J Oldham
6
16.7%
-28.3%
2.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
9
#9W Finnie
6
16.7%
-28.3%
2.2
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
10
#10T Nield
6
16.7%
-28.3%
2.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
11
#11P Gibbs
6
16.7%
-28.3%
1.5
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
12
#12A D'Urso
6
16.7%
-28.3%
1.2
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
13
#13D McDermid
6
16.7%
-28.3%
1.2
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
14
#14R Shoebridge
6
16.7%
-28.3%
0.7
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
15
#15S Stockbridge
11
18.2%
-26.8%
1.8
🚨 Strong Bias
Games
11
Win Rate
18.2%
Bias Score
-26.8%
16
#16C Pollard
5
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
17
#17G Scott
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18S Bennett
5
20.0%
-25.0%
0.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
19
#19G Sutton
5
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
20
#20K Friend
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
21
#21C Webster
5
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
22
#22P Crossley
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
23
#23L Mason
5
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
24
#24R Joyce
14
21.4%
-23.6%
1.8
🚨 Strong Bias
Games
14
Win Rate
21.4%
Bias Score
-23.6%
25
#25S Oldham
9
22.2%
-22.8%
1.7
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
26
#26N Swarbrick
9
22.2%
-22.8%
1.4
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
27
#27M Russell
12
25.0%
-20.0%
1.3
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
28
#28D Rock
8
25.0%
-20.0%
1.4
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
29
#29N Miller
8
25.0%
-20.0%
1.3
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
30
#30J Moss
8
25.0%
-20.0%
1.8
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
31
#31C Hicks
11
27.3%
-17.7%
1.9
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
32
#32P Howard
7
28.6%
-16.4%
1.0
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
33
#33A Young
7
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
34
#34T Reeves
7
28.6%
-16.4%
1.9
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
35
#35S Purkiss
7
28.6%
-16.4%
1.0
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
36
#36L Collins
7
28.6%
-16.4%
1.4
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
37
#37O Yates
10
30.0%
-15.0%
1.6
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
38
#38F Graham
10
30.0%
-15.0%
1.1
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
39
#39R Lewis
13
30.8%
-14.2%
1.3
⚠️ Potential Bias
Games
13
Win Rate
30.8%
Bias Score
-14.2%
40
#40D Whitestone
19
31.6%
-13.4%
1.4
⚠️ Potential Bias
Games
19
Win Rate
31.6%
Bias Score
-13.4%
41
#41A Backhouse
6
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
42
#42P Wright
6
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
43
#43D Handley
9
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
44
#44A Coggins
6
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
45
#45K Johnson
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
46
#46R East
6
33.3%
-11.7%
1.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
47
#47A Madley
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
48
#48M Haywood
12
33.3%
-11.7%
1.1
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
49
#49A Hall
9
33.3%
-11.7%
1.6
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
50
#50S Bratt
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
51
#51P Melin
6
33.3%
-11.7%
0.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
52
#52P Joslin
6
33.3%
-11.7%
1.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
53
#53A Woolmer
14
35.7%
-9.3%
1.4
📊 Neutral
Games
14
Win Rate
35.7%
Bias Score
-9.3%
54
#54L Swabey
16
37.5%
-7.5%
1.7
📊 Neutral
Games
16
Win Rate
37.5%
Bias Score
-7.5%
55
#55J Singh
8
37.5%
-7.5%
1.3
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
56
#56D Drysdale
13
38.5%
-6.5%
1.5
📊 Neutral
Games
13
Win Rate
38.5%
Bias Score
-6.5%
57
#57T Parsons
5
40.0%
-5.0%
3.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
58
#58O Langford
10
40.0%
-5.0%
2.2
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
59
#59E Ilderton
5
40.0%
-5.0%
1.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
60
#60M Heywood
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
61
#61D England
5
40.0%
-5.0%
2.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
62
#62A Taylor
5
40.0%
-5.0%
1.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
63
#63C Penton
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
64
#64A Marriner
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
65
#65N Hair
7
42.9%
-2.1%
1.4
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
66
#66G Ward
14
42.9%
-2.1%
2.1
📊 Neutral
Games
14
Win Rate
42.9%
Bias Score
-2.1%
67
#67C Boyeson
14
42.9%
-2.1%
1.3
📊 Neutral
Games
14
Win Rate
42.9%
Bias Score
-2.1%
68
#68K Stroud
14
42.9%
-2.1%
1.9
📊 Neutral
Games
14
Win Rate
42.9%
Bias Score
-2.1%
69
#69S Hooper
7
42.9%
-2.1%
1.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
70
#70A Penn
7
42.9%
-2.1%
1.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
71
#71G Salisbury
18
44.4%
-0.6%
1.7
📊 Neutral
Games
18
Win Rate
44.4%
Bias Score
-0.6%
72
#72C Sarginson
13
46.2%
+1.2%
1.8
📊 Neutral
Games
13
Win Rate
46.2%
Bias Score
+1.2%
73
#73B Toner
15
46.7%
+1.7%
1.8
📊 Neutral
Games
15
Win Rate
46.7%
Bias Score
+1.7%
74
#74J Linington
8
50.0%
+5.0%
0.8
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
75
#75N Kinseley
6
50.0%
+5.0%
0.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
76
#76J Brooks
6
50.0%
+5.0%
2.5
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
77
#77D Webb
6
50.0%
+5.0%
0.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
78
#78B Malone
8
50.0%
+5.0%
1.0
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
79
#79S Rushton
6
50.0%
+5.0%
1.2
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
80
#80C Brook
9
55.6%
+10.6%
1.9
✅ Favorable
Games
9
Win Rate
55.6%
Bias Score
+10.6%
81
#81T Kettle
18
55.6%
+10.6%
1.8
✅ Favorable
Games
18
Win Rate
55.6%
Bias Score
+10.6%
82
#82C Breakspear
17
58.8%
+13.8%
1.9
✅ Favorable
Games
17
Win Rate
58.8%
Bias Score
+13.8%
83
#83M Salisbury
5
60.0%
+15.0%
1.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
84
#84K Hill
5
60.0%
+15.0%
1.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
85
#85G Hegley
5
60.0%
+15.0%
1.4
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
86
#86S Allison
6
66.7%
+21.7%
1.8
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
87
#87B Huxtable
12
66.7%
+21.7%
1.6
✅ Favorable
Games
12
Win Rate
66.7%
Bias Score
+21.7%
88
#88K Evans
6
66.7%
+21.7%
1.3
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
89
#89R Beeby
6
66.7%
+21.7%
1.0
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
90
#90B Speedie
5
80.0%
+35.0%
0.6
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
91
#91P Walton
6
83.3%
+38.3%
0.8
✅ Favorable
Games
6
Win Rate
83.3%
Bias Score
+38.3%
Note: Showing 91 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.