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⚽ Team Analysis
YorkReferee Analysis
Analysis of 346 referees across 845 matches
346
Referees
845
Matches
⚠️
Most Biased Against
G Thomas
Bias Score: -45.0%•1 games
✅
Most Favorable
Scott Mathieson
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for York examines 346 referees across 845 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. G Thomas ranks as the most biased against York with a -45.0% bias score over 1 matches. Conversely, Scott Mathieson 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
#1G Salisbury
5
0.0%
-45.0%
1.6
🚨 Strong Bias
Games
5
Win Rate
0.0%
Bias Score
-45.0%
2
#2N Kinseley
6
0.0%
-45.0%
2.3
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
3
#3P Marsden
8
12.5%
-32.5%
2.5
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
4
#4K Evans
10
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
5
#5M Coy
5
20.0%
-25.0%
2.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
6
#6P Wright
5
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
7
#7C Boyeson
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
8
#8B Malone
5
20.0%
-25.0%
0.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
9
#9J Linington
5
20.0%
-25.0%
2.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
10
#10D Sheldrake
5
20.0%
-25.0%
1.8
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
11
#11P Tierney
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
12
#12C Harwood
5
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
13
#13O Langford
8
25.0%
-20.0%
1.3
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
14
#14G Eltringham
7
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
15
#15A Haines
7
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
16
#16D Coote
7
28.6%
-16.4%
1.1
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
17
#17S Stockbridge
10
30.0%
-15.0%
1.0
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
18
#18J Simpson
10
30.0%
-15.0%
1.4
⚠️ Potential Bias
Games
10
Win Rate
30.0%
Bias Score
-15.0%
19
#19D Richardson
9
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
20
#20D Handley
12
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
21
#21N Miller
6
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
22
#22D Webb
6
33.3%
-11.7%
1.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
23
#23J Hopkins
6
33.3%
-11.7%
2.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
24
#24M Naylor
8
37.5%
-7.5%
1.0
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
25
#25M Matadar
8
37.5%
-7.5%
1.0
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
26
#26G Sutton
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
27
#27B Khatib
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
28
#28R West
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
29
#29P Curry
5
40.0%
-5.0%
1.2
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
30
#30M Brown
7
42.9%
-2.1%
0.9
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
31
#31T Harrington
7
42.9%
-2.1%
1.4
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
32
#32R Wigglesworth
7
42.9%
-2.1%
1.6
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
33
#33M Bull
9
44.4%
-0.6%
1.0
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
34
#34A Jackson
6
50.0%
+5.0%
1.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
35
#35E Ilderton
6
50.0%
+5.0%
1.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
36
#36A Madley
6
50.0%
+5.0%
1.2
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
37
#37R Clark
10
50.0%
+5.0%
1.1
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
38
#38S Duncan
10
50.0%
+5.0%
0.7
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
39
#39S Martin
8
50.0%
+5.0%
1.6
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
40
#40M Oliver
6
50.0%
+5.0%
1.3
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
41
#41D Bond
7
57.1%
+12.1%
1.3
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
42
#42A Hendley
7
57.1%
+12.1%
0.7
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
43
#43A Miller
5
60.0%
+15.0%
1.0
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
44
#44J Adcock
5
60.0%
+15.0%
0.8
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
45
#45S Cummins
5
60.0%
+15.0%
1.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
46
#46M Heywood
8
62.5%
+17.5%
1.5
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
47
#47M Barlow
6
66.7%
+21.7%
1.0
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
48
#48G Rollason
6
66.7%
+21.7%
2.3
✅ Favorable
Games
6
Win Rate
66.7%
Bias Score
+21.7%
49
#49R Massey-Ellis
5
80.0%
+35.0%
1.2
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
Note: Showing 49 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.