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⚽ Team Analysis
Milton Keynes DonsReferee Analysis
Analysis of 207 referees across 935 matches
207
Referees
935
Matches
⚠️
Most Biased Against
A Miller
Bias Score: -45.0%•1 games
✅
Most Favorable
K Cartwright
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Milton Keynes Dons examines 207 referees across 935 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. A Miller ranks as the most biased against Milton Keynes Dons with a -45.0% bias score over 1 matches. Conversely, K Cartwright 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
#1B Speedie
5
0.0%
-45.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
2
#2D Coote
6
0.0%
-45.0%
1.2
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
3
#3A Penn
6
0.0%
-45.0%
1.2
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
4
#4G Salisbury
13
7.7%
-37.3%
2.1
🚨 Strong Bias
Games
13
Win Rate
7.7%
Bias Score
-37.3%
5
#5K Johnson
7
14.3%
-30.7%
1.7
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
6
#6M Russell
12
16.7%
-28.3%
1.6
🚨 Strong Bias
Games
12
Win Rate
16.7%
Bias Score
-28.3%
7
#7P Wright
6
16.7%
-28.3%
1.7
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
8
#8T Robinson
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
9
#9S Martin
6
16.7%
-28.3%
1.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
10
#10P Tierney
6
16.7%
-28.3%
2.3
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
11
#11T Reeves
5
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
12
#12L Probert
5
20.0%
-25.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
13
#13C Penton
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
14
#14M Haywood
9
22.2%
-22.8%
1.4
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
15
#15L Swabey
8
25.0%
-20.0%
1.4
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
16
#16A Backhouse
8
25.0%
-20.0%
1.1
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
17
#17M Edwards
8
25.0%
-20.0%
1.6
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
18
#18O Langford
7
28.6%
-16.4%
1.7
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
19
#19K Wright
10
30.0%
-15.0%
2.0
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
20
#20C Sarginson
16
31.3%
-13.8%
1.6
⚠️ Potential Bias
Games
16
Win Rate
31.3%
Bias Score
-13.8%
21
#21D Webb
6
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
22
#22B Toner
9
33.3%
-11.7%
1.0
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
23
#23G Horwood
6
33.3%
-11.7%
2.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
24
#24S Hooper
9
33.3%
-11.7%
1.9
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
25
#25J Simpson
6
33.3%
-11.7%
2.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
26
#26M Heywood
6
33.3%
-11.7%
2.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
27
#27I Williamson
9
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
28
#28D Phillips
6
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
29
#29A D'Urso
12
33.3%
-11.7%
1.9
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
30
#30S Tanner
6
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
31
#31P Melin
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
32
#32A Woolmer
11
36.4%
-8.6%
1.4
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
33
#33K Hill
11
36.4%
-8.6%
2.6
📊 Neutral
Games
11
Win Rate
36.4%
Bias Score
-8.6%
34
#34M Coy
8
37.5%
-7.5%
1.0
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
35
#35A Bates
8
37.5%
-7.5%
1.6
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
36
#36R East
13
38.5%
-6.5%
2.5
📊 Neutral
Games
13
Win Rate
38.5%
Bias Score
-6.5%
37
#37S Stockbridge
15
40.0%
-5.0%
1.9
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
38
#38O Yates
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
39
#39C Kavanagh
5
40.0%
-5.0%
0.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
40
#40K Stroud
15
40.0%
-5.0%
2.3
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
41
#41T Nield
5
40.0%
-5.0%
1.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
42
#42A Coggins
10
40.0%
-5.0%
1.9
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
43
#43T Kettle
10
40.0%
-5.0%
1.8
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
44
#44A Madley
5
40.0%
-5.0%
1.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
45
#45A Marriner
5
40.0%
-5.0%
1.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
46
#46G Ward
15
40.0%
-5.0%
1.7
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
47
#47K Friend
5
40.0%
-5.0%
2.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
48
#48N Miller
10
40.0%
-5.0%
2.4
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
49
#49A Haines
12
41.7%
-3.3%
2.0
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
50
#50D Handley
7
42.9%
-2.1%
1.6
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
51
#51R Lewis
7
42.9%
-2.1%
3.0
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
52
#52J Busby
9
44.4%
-0.6%
2.4
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
53
#53J Oldham
6
50.0%
+5.0%
2.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
54
#54R Joyce
12
50.0%
+5.0%
2.3
📊 Neutral
Games
12
Win Rate
50.0%
Bias Score
+5.0%
55
#55S Oldham
12
50.0%
+5.0%
1.7
📊 Neutral
Games
12
Win Rate
50.0%
Bias Score
+5.0%
56
#56C Brook
6
50.0%
+5.0%
1.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
57
#57D Whitestone
12
50.0%
+5.0%
1.6
📊 Neutral
Games
12
Win Rate
50.0%
Bias Score
+5.0%
58
#58S Purkiss
6
50.0%
+5.0%
1.0
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
59
#59J Linington
8
50.0%
+5.0%
2.1
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
60
#60B Huxtable
8
50.0%
+5.0%
2.6
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
61
#61G Sutton
8
50.0%
+5.0%
2.4
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
62
#62D Drysdale
19
52.6%
+7.6%
1.5
📊 Neutral
Games
19
Win Rate
52.6%
Bias Score
+7.6%
63
#63E Ilderton
11
54.5%
+9.5%
2.0
📊 Neutral
Games
11
Win Rate
54.5%
Bias Score
+9.5%
64
#64D Deadman
9
55.6%
+10.6%
2.1
✅ Favorable
Games
9
Win Rate
55.6%
Bias Score
+10.6%
65
#65S Mathieson
7
57.1%
+12.1%
1.0
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
66
#66C Berry
5
60.0%
+15.0%
1.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
67
#67D Sheldrake
5
60.0%
+15.0%
0.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
68
#68P Gibbs
5
60.0%
+15.0%
1.2
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
69
#69A Davies
8
62.5%
+17.5%
1.8
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
70
#70G Scott
8
62.5%
+17.5%
1.9
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
71
#71D McDermid
8
62.5%
+17.5%
2.3
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
72
#72C Hicks
6
66.7%
+21.7%
1.5
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
73
#73C Breakspear
15
66.7%
+21.7%
2.6
✅ Favorable
Games
15
Win Rate
66.7%
Bias Score
+21.7%
74
#74F Graham
6
66.7%
+21.7%
1.3
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
75
#75C Boyeson
14
71.4%
+26.4%
1.2
✅ Favorable
Games
14
Win Rate
71.4%
Bias Score
+26.4%
76
#76D Bourne
5
80.0%
+35.0%
1.4
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
77
#77S Barrott
5
80.0%
+35.0%
0.8
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
78
#78N Hair
5
80.0%
+35.0%
1.6
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
79
#79M Salisbury
5
80.0%
+35.0%
1.4
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
80
#80A Taylor
5
80.0%
+35.0%
2.4
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
81
#81P Taylor
7
85.7%
+40.7%
2.0
✅ Favorable
Games
7
Win Rate
85.7%
Bias Score
+40.7%
Note: Showing 81 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.