⚽ Team Analysis
CambridgeReferee Analysis
Analysis of 256 referees across 1000 matches
256
Referees
1000
Matches
⚠️
Most Biased Against
E Swallow
Bias Score: -45.0%•1 games
✅
Most Favorable
M Cooper
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Cambridge examines 256 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. E Swallow ranks as the most biased against Cambridge with a -45.0% bias score over 1 matches. Conversely, M Cooper 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
#1E Duckworth
5
0.0%
-45.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
2
#2I Williamson
5
0.0%
-45.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
3
#3G Sutton
5
0.0%
-45.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
4
#4R Merchant
5
0.0%
-45.0%
0.8
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
5
#5J Oldham
9
11.1%
-33.9%
1.4
🚨 Strong Bias
Games
9
Win Rate
11.1%
Bias Score
-33.9%
6
#6R Lewis
9
11.1%
-33.9%
1.6
🚨 Strong Bias
Games
9
Win Rate
11.1%
Bias Score
-33.9%
7
#7A Hendley
8
12.5%
-32.5%
1.6
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
8
#8R Clark
7
14.3%
-30.7%
1.6
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
9
#9A Backhouse
6
16.7%
-28.3%
1.5
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
10
#10P Howard
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
11
#11B Malone
6
16.7%
-28.3%
1.0
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
12
#12D Bond
6
16.7%
-28.3%
0.8
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
13
#13N Hair
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
14
#14P Marsden
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
15
#15W Finnie
10
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
16
#16G Horwood
10
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
17
#17C Berry
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
18
#18D Ford
5
20.0%
-25.0%
0.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
19
#19O Yates
14
21.4%
-23.6%
1.1
🚨 Strong Bias
Games
14
Win Rate
21.4%
Bias Score
-23.6%
20
#20D Whitestone
9
22.2%
-22.8%
1.1
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
21
#21G Ward
9
22.2%
-22.8%
1.8
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
22
#22D Drysdale
13
23.1%
-21.9%
1.1
🚨 Strong Bias
Games
13
Win Rate
23.1%
Bias Score
-21.9%
23
#23S Stockbridge
13
23.1%
-21.9%
1.9
🚨 Strong Bias
Games
13
Win Rate
23.1%
Bias Score
-21.9%
24
#24D Rock
8
25.0%
-20.0%
2.3
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
25
#25S Martin
8
25.0%
-20.0%
1.8
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
26
#26W Barratt
8
25.0%
-20.0%
1.5
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
27
#27R Joyce
21
28.6%
-16.4%
1.8
⚠️ Potential Bias
Games
21
Win Rate
28.6%
Bias Score
-16.4%
28
#28B Speedie
7
28.6%
-16.4%
1.0
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
29
#29P Wright
7
28.6%
-16.4%
1.9
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
30
#30A Davies
7
28.6%
-16.4%
1.9
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
31
#31S Oldham
10
30.0%
-15.0%
1.5
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
32
#32A Haines
10
30.0%
-15.0%
0.8
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
33
#33K Johnson
10
30.0%
-15.0%
1.2
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
34
#34T Kettle
13
30.8%
-14.2%
1.5
⚠️ Potential Bias
Games
13
Win Rate
30.8%
Bias Score
-14.2%
35
#35C Pollard
6
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
36
#36C Sarginson
12
33.3%
-11.7%
1.6
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
37
#37L Collins
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
38
#38F Graham
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
39
#39D Bourne
8
37.5%
-7.5%
1.4
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
40
#40C Breakspear
16
37.5%
-7.5%
2.4
📊 Neutral
Games
16
Win Rate
37.5%
Bias Score
-7.5%
41
#41J Hopkins
8
37.5%
-7.5%
2.8
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
42
#42S Mather
5
40.0%
-5.0%
2.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
43
#43M Russell
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
44
#44T Nield
10
40.0%
-5.0%
1.6
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
45
#45T Reeves
5
40.0%
-5.0%
1.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
46
#46G Salisbury
10
40.0%
-5.0%
0.9
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
47
#47T Harrington
5
40.0%
-5.0%
1.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
48
#48J Simpson
5
40.0%
-5.0%
0.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
49
#49O Langford
9
44.4%
-0.6%
1.4
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
50
#50D Handley
11
45.5%
+0.5%
2.2
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
51
#51L Swabey
13
46.2%
+1.2%
1.2
📊 Neutral
Games
13
Win Rate
46.2%
Bias Score
+1.2%
52
#52M Bull
17
47.1%
+2.1%
1.3
📊 Neutral
Games
17
Win Rate
47.1%
Bias Score
+2.1%
53
#53C Brook
6
50.0%
+5.0%
1.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
54
#54A Woolmer
6
50.0%
+5.0%
1.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
55
#55D England
6
50.0%
+5.0%
1.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
56
#56G Scott
6
50.0%
+5.0%
1.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
57
#57R Wigglesworth
6
50.0%
+5.0%
1.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
58
#58A Rayner
6
50.0%
+5.0%
2.0
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
59
#59D Cann
6
50.0%
+5.0%
1.8
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
60
#60B Huxtable
13
53.8%
+8.8%
1.4
📊 Neutral
Games
13
Win Rate
53.8%
Bias Score
+8.8%
61
#61R Whitton
11
54.5%
+9.5%
1.1
📊 Neutral
Games
11
Win Rate
54.5%
Bias Score
+9.5%
62
#62C Boyeson
9
55.6%
+10.6%
1.3
✅ Favorable
Games
9
Win Rate
55.6%
Bias Score
+10.6%
63
#63S Allison
7
57.1%
+12.1%
2.4
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
64
#64T Robinson
7
57.1%
+12.1%
1.3
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
65
#65B Toner
12
58.3%
+13.3%
1.3
✅ Favorable
Games
12
Win Rate
58.3%
Bias Score
+13.3%
66
#66S Purkiss
5
60.0%
+15.0%
2.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
67
#67M Heywood
5
60.0%
+15.0%
1.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
68
#68S Attwell
5
60.0%
+15.0%
1.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
69
#69D Sheldrake
5
60.0%
+15.0%
1.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
70
#70P Danson
5
60.0%
+15.0%
1.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
71
#71C Hicks
16
62.5%
+17.5%
0.9
✅ Favorable
Games
16
Win Rate
62.5%
Bias Score
+17.5%
72
#72N Kinseley
24
62.5%
+17.5%
1.2
✅ Favorable
Games
24
Win Rate
62.5%
Bias Score
+17.5%
73
#73J Busby
9
66.7%
+21.7%
1.6
✅ Favorable
Games
9
Win Rate
66.7%
Bias Score
+21.7%
74
#74R Fletcher
10
70.0%
+25.0%
1.6
✅ Favorable
Games
10
Win Rate
70.0%
Bias Score
+25.0%
75
#75R Madley
5
80.0%
+35.0%
1.4
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
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.