⚽ Team Analysis
Crystal PalaceReferee Analysis
Analysis of 154 referees across 1000 matches
154
Referees
1000
Matches
⚠️
Most Biased Against
S Singh
Bias Score: -45.0%•1 games
✅
Most Favorable
G Frankland
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Crystal Palace examines 154 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. S Singh ranks as the most biased against Crystal Palace with a -45.0% bias score over 1 matches. Conversely, G Frankland 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
#1D England
13
7.7%
-37.3%
2.4
🚨 Strong Bias
Games
13
Win Rate
7.7%
Bias Score
-37.3%
2
#2S Tanner
8
12.5%
-32.5%
1.0
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
3
#3T Robinson
6
16.7%
-28.3%
2.0
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
4
#4T Kettle
6
16.7%
-28.3%
1.7
🚨 Strong Bias
Games
6
Win Rate
16.7%
Bias Score
-28.3%
5
#5D Coote
11
18.2%
-26.8%
1.7
🚨 Strong Bias
Games
11
Win Rate
18.2%
Bias Score
-26.8%
6
#6M Clattenburg
21
19.0%
-26.0%
1.7
🚨 Strong Bias
Games
21
Win Rate
19.0%
Bias Score
-26.0%
7
#7M Russell
10
20.0%
-25.0%
0.8
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
8
#8D Whitestone
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
9
#9N Miller
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
10
#10S Dunn
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
11
#11E Wolstenholme
5
20.0%
-25.0%
1.0
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
12
#12N Swarbrick
18
22.2%
-22.8%
2.1
🚨 Strong Bias
Games
18
Win Rate
22.2%
Bias Score
-22.8%
13
#13M Jones
18
22.2%
-22.8%
1.7
🚨 Strong Bias
Games
18
Win Rate
22.2%
Bias Score
-22.8%
14
#14S Mathieson
9
22.2%
-22.8%
1.7
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
15
#15G Salisbury
9
22.2%
-22.8%
1.2
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
16
#16R Jones
12
25.0%
-20.0%
1.8
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
17
#17A Madley
16
25.0%
-20.0%
1.9
🚨 Strong Bias
Games
16
Win Rate
25.0%
Bias Score
-20.0%
18
#18I Williamson
8
25.0%
-20.0%
2.4
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
19
#19R Booth
8
25.0%
-20.0%
1.3
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
20
#20M Thorpe
8
25.0%
-20.0%
1.5
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
21
#21M Dean
27
25.9%
-19.1%
1.4
⚠️ Potential Bias
Games
27
Win Rate
25.9%
Bias Score
-19.1%
22
#22J Moss
37
27.0%
-18.0%
1.8
⚠️ Potential Bias
Games
37
Win Rate
27.0%
Bias Score
-18.0%
23
#23K Friend
29
27.6%
-17.4%
1.7
⚠️ Potential Bias
Games
29
Win Rate
27.6%
Bias Score
-17.4%
24
#24J Brooks
7
28.6%
-16.4%
2.3
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
25
#25J Gillett
7
28.6%
-16.4%
2.0
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
26
#26A Marriner
35
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
35
Win Rate
28.6%
Bias Score
-16.4%
27
#27R Madley
7
28.6%
-16.4%
1.9
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
28
#28R Styles
7
28.6%
-16.4%
1.7
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
29
#29A Wiley
7
28.6%
-16.4%
1.3
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
30
#30G Laws
7
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
31
#31D Gallagher
7
28.6%
-16.4%
1.3
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
32
#32C Pawson
24
29.2%
-15.8%
1.8
⚠️ Potential Bias
Games
24
Win Rate
29.2%
Bias Score
-15.8%
33
#33A Taylor
36
30.6%
-14.4%
1.9
⚠️ Potential Bias
Games
36
Win Rate
30.6%
Bias Score
-14.4%
34
#34T Harrington
6
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
35
#35M Salisbury
9
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
36
#36M Atkinson
30
33.3%
-11.7%
1.6
⚠️ Potential Bias
Games
30
Win Rate
33.3%
Bias Score
-11.7%
37
#37C Foy
9
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
38
#38K Wright
6
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
39
#39C Webster
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
40
#40C Penton
9
33.3%
-11.7%
1.1
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
41
#41P Tierney
20
35.0%
-10.0%
2.1
⚠️ Potential Bias
Games
20
Win Rate
35.0%
Bias Score
-10.0%
42
#42S Hooper
17
35.3%
-9.7%
1.8
📊 Neutral
Games
17
Win Rate
35.3%
Bias Score
-9.7%
43
#43P Walton
14
35.7%
-9.3%
1.4
📊 Neutral
Games
14
Win Rate
35.7%
Bias Score
-9.3%
44
#44M Oliver
36
36.1%
-8.9%
1.4
📊 Neutral
Games
36
Win Rate
36.1%
Bias Score
-8.9%
45
#45T Bramall
8
37.5%
-7.5%
1.4
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
46
#46S Attwell
16
37.5%
-7.5%
1.8
📊 Neutral
Games
16
Win Rate
37.5%
Bias Score
-7.5%
47
#47A Woolmer
8
37.5%
-7.5%
2.0
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
48
#48P Taylor
8
37.5%
-7.5%
2.4
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
49
#49R Beeby
8
37.5%
-7.5%
2.4
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
50
#50S Barrott
5
40.0%
-5.0%
2.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
51
#51G Scott
10
40.0%
-5.0%
1.4
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
52
#52P Armstrong
5
40.0%
-5.0%
1.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
53
#53A Leake
5
40.0%
-5.0%
1.0
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
54
#54L Mason
17
41.2%
-3.8%
1.5
📊 Neutral
Games
17
Win Rate
41.2%
Bias Score
-3.8%
55
#55H Webb
12
41.7%
-3.3%
1.8
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
56
#56A Hall
12
41.7%
-3.3%
1.5
📊 Neutral
Games
12
Win Rate
41.7%
Bias Score
-3.3%
57
#57P Dowd
16
43.8%
-1.3%
1.9
📊 Neutral
Games
16
Win Rate
43.8%
Bias Score
-1.3%
58
#58P Joslin
9
44.4%
-0.6%
1.2
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
59
#59P Bankes
8
50.0%
+5.0%
1.9
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
60
#60C Kavanagh
10
50.0%
+5.0%
1.5
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
61
#61A D'Urso
14
50.0%
+5.0%
1.7
📊 Neutral
Games
14
Win Rate
50.0%
Bias Score
+5.0%
62
#62R East
12
58.3%
+13.3%
1.8
✅ Favorable
Games
12
Win Rate
58.3%
Bias Score
+13.3%
63
#63K Stroud
10
60.0%
+15.0%
2.4
✅ Favorable
Games
10
Win Rate
60.0%
Bias Score
+15.0%
64
#64A Bates
10
60.0%
+15.0%
1.3
✅ Favorable
Games
10
Win Rate
60.0%
Bias Score
+15.0%
65
#65G Hegley
5
60.0%
+15.0%
0.4
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
66
#66M Fletcher
5
60.0%
+15.0%
1.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
67
#67L Probert
13
61.5%
+16.5%
0.8
✅ Favorable
Games
13
Win Rate
61.5%
Bias Score
+16.5%
68
#68K Hill
10
70.0%
+25.0%
1.4
✅ Favorable
Games
10
Win Rate
70.0%
Bias Score
+25.0%
Note: Showing 68 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.