⚽ Team Analysis
Forest GreenReferee Analysis
Analysis of 238 referees across 885 matches
238
Referees
885
Matches
⚠️
Most Biased Against
C Walchester
Bias Score: -45.0%•1 games
✅
Most Favorable
A Page
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Forest Green examines 238 referees across 885 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. C Walchester ranks as the most biased against Forest Green with a -45.0% bias score over 1 matches. Conversely, A Page 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
#1S Gill
5
0.0%
-45.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
2
#2D Sheldrake
5
0.0%
-45.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
3
#3N Kinseley
10
10.0%
-35.0%
1.6
🚨 Strong Bias
Games
10
Win Rate
10.0%
Bias Score
-35.0%
4
#4P Gibbs
8
12.5%
-32.5%
0.9
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
5
#5C Boyeson
7
14.3%
-30.7%
1.6
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
6
#6K Johnson
13
15.4%
-29.6%
1.9
🚨 Strong Bias
Games
13
Win Rate
15.4%
Bias Score
-29.6%
7
#7B Huxtable
13
15.4%
-29.6%
1.1
🚨 Strong Bias
Games
13
Win Rate
15.4%
Bias Score
-29.6%
8
#8T Reeves
6
16.7%
-28.3%
0.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
9
#9C Pollard
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
10
#10S Ross
6
16.7%
-28.3%
2.0
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
11
#11A Davies
10
20.0%
-25.0%
1.5
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
12
#12P Howard
5
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
13
#13T Robinson
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
14
#14I Smedley
5
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
15
#15A Backhouse
9
22.2%
-22.8%
1.6
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
16
#16R Joyce
12
25.0%
-20.0%
1.2
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
17
#17C Breakspear
8
25.0%
-20.0%
1.5
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
18
#18N Hair
8
25.0%
-20.0%
0.9
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
19
#19S Stockbridge
8
25.0%
-20.0%
2.3
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
20
#20D Drysdale
8
25.0%
-20.0%
1.5
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
21
#21B Toner
11
27.3%
-17.7%
1.7
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
22
#22R Lewis
11
27.3%
-17.7%
1.2
⚠️ Potential Bias
Games
11
Win Rate
27.3%
Bias Score
-17.7%
23
#23W Finnie
7
28.6%
-16.4%
1.9
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
24
#24B Speedie
6
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
25
#25M Edwards
6
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
26
#26J Brooks
6
33.3%
-11.7%
0.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
27
#27J Hopkins
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
28
#28M Bull
6
33.3%
-11.7%
1.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
29
#29A Hendley
9
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
30
#30A Bennett
6
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
31
#31D Handley
8
37.5%
-7.5%
1.3
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
32
#32O Yates
10
40.0%
-5.0%
1.7
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
33
#33P Marsden
5
40.0%
-5.0%
2.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
34
#34D Bourne
5
40.0%
-5.0%
3.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
35
#35M Coy
10
40.0%
-5.0%
1.4
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
36
#36J Busby
10
40.0%
-5.0%
1.5
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
37
#37C Sarginson
10
40.0%
-5.0%
0.7
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
38
#38A Coggins
10
40.0%
-5.0%
1.4
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
39
#39T Bramall
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
40
#40A Holmes
5
40.0%
-5.0%
1.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
41
#41R Wigglesworth
5
40.0%
-5.0%
1.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
42
#42S Creighton
5
40.0%
-5.0%
0.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
43
#43A Rodda
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
44
#44L Swabey
12
41.7%
-3.3%
1.4
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
45
#45G Salisbury
7
42.9%
-2.1%
1.9
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
46
#46D Treleaven
7
42.9%
-2.1%
2.7
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
47
#47A Hopkins
7
42.9%
-2.1%
1.6
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
48
#48A Bromley
9
44.4%
-0.6%
0.9
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
49
#49D Rock
11
45.5%
+0.5%
1.1
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
50
#50R Whitton
11
45.5%
+0.5%
1.7
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
51
#51R Martin
8
50.0%
+5.0%
1.4
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
52
#52P Wright
6
50.0%
+5.0%
1.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
53
#53S Mather
6
50.0%
+5.0%
2.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
54
#54C Hicks
20
50.0%
+5.0%
1.4
📊 Neutral
Games
20
Win Rate
50.0%
Bias Score
+5.0%
55
#55S Martin
8
50.0%
+5.0%
1.8
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
56
#56S Oldham
6
50.0%
+5.0%
1.5
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
57
#57R Jones
6
50.0%
+5.0%
1.5
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
58
#58W Barratt
16
50.0%
+5.0%
1.1
📊 Neutral
Games
16
Win Rate
50.0%
Bias Score
+5.0%
59
#59A Rayner
6
50.0%
+5.0%
1.0
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
60
#60K Evans
9
55.6%
+10.6%
1.2
✅ Favorable
Games
9
Win Rate
55.6%
Bias Score
+10.6%
61
#61J Oldham
7
57.1%
+12.1%
1.9
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
62
#62S Bennett
7
57.1%
+12.1%
1.1
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
63
#63R Merchant
7
57.1%
+12.1%
1.6
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
64
#64C Brook
5
60.0%
+15.0%
2.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
65
#65C Hatzidakis
5
60.0%
+15.0%
0.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
66
#66S Rushton
10
60.0%
+15.0%
1.5
✅ Favorable
Games
10
Win Rate
60.0%
Bias Score
+15.0%
67
#67O Langford
5
60.0%
+15.0%
1.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
68
#68S Allison
6
66.7%
+21.7%
1.8
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
69
#69T Nield
6
66.7%
+21.7%
1.8
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
70
#70A Young
6
66.7%
+21.7%
1.5
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
71
#71A Woolmer
5
100.0%
+55.0%
1.4
✅ 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.