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⚽ Team Analysis
Crystal PalaceReferee Analysis
Analysis of 204 referees across 1000 matches
204
Referees
1000
Matches
⚠️
Most Biased Against
S Singh
Bias Score: -45.0%•1 games
✅
Most Favorable
Graham Frankland
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Crystal Palace examines 204 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, Graham 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 Russell
10
20.0%
-25.0%
0.8
🚨 Strong Bias
Games
10
Win Rate
20.0%
Bias Score
-25.0%
7
#7D Whitestone
5
20.0%
-25.0%
1.4
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
8
#8N Miller
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
9
#9D Gallagher
5
20.0%
-25.0%
1.2
🚨 Strong Bias
Games
5
Win Rate
20.0%
Bias Score
-25.0%
10
#10M Clattenburg
19
21.1%
-23.9%
1.7
🚨 Strong Bias
Games
19
Win Rate
21.1%
Bias Score
-23.9%
11
#11N Swarbrick
18
22.2%
-22.8%
2.1
🚨 Strong Bias
Games
18
Win Rate
22.2%
Bias Score
-22.8%
12
#12G Salisbury
9
22.2%
-22.8%
1.2
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
13
#13M Jones
17
23.5%
-21.5%
1.8
🚨 Strong Bias
Games
17
Win Rate
23.5%
Bias Score
-21.5%
14
#14R Jones
12
25.0%
-20.0%
1.8
🚨 Strong Bias
Games
12
Win Rate
25.0%
Bias Score
-20.0%
15
#15A Madley
16
25.0%
-20.0%
1.9
🚨 Strong Bias
Games
16
Win Rate
25.0%
Bias Score
-20.0%
16
#16S Mathieson
8
25.0%
-20.0%
1.6
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
17
#17I Williamson
8
25.0%
-20.0%
2.4
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
18
#18R Booth
8
25.0%
-20.0%
1.3
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
19
#19M Thorpe
8
25.0%
-20.0%
1.5
🚨 Strong Bias
Games
8
Win Rate
25.0%
Bias Score
-20.0%
20
#20M Dean
27
25.9%
-19.1%
1.4
⚠️ Potential Bias
Games
27
Win Rate
25.9%
Bias Score
-19.1%
21
#21J Moss
37
27.0%
-18.0%
1.8
⚠️ Potential Bias
Games
37
Win Rate
27.0%
Bias Score
-18.0%
22
#22K Friend
29
27.6%
-17.4%
1.7
⚠️ Potential Bias
Games
29
Win Rate
27.6%
Bias Score
-17.4%
23
#23J Brooks
7
28.6%
-16.4%
2.3
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
24
#24J Gillett
7
28.6%
-16.4%
2.0
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
25
#25A Marriner
35
28.6%
-16.4%
1.6
⚠️ Potential Bias
Games
35
Win Rate
28.6%
Bias Score
-16.4%
26
#26R Madley
7
28.6%
-16.4%
1.9
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
27
#27A Wiley
7
28.6%
-16.4%
1.3
⚠️ Potential Bias
Games
7
Win Rate
28.6%
Bias Score
-16.4%
28
#28C Pawson
24
29.2%
-15.8%
1.8
⚠️ Potential Bias
Games
24
Win Rate
29.2%
Bias Score
-15.8%
29
#29A Taylor
36
30.6%
-14.4%
1.9
⚠️ Potential Bias
Games
36
Win Rate
30.6%
Bias Score
-14.4%
30
#30T Harrington
6
33.3%
-11.7%
1.2
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
31
#31M Salisbury
9
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
32
#32M Atkinson
30
33.3%
-11.7%
1.6
⚠️ Potential Bias
Games
30
Win Rate
33.3%
Bias Score
-11.7%
33
#33K Wright
6
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
34
#34C Webster
6
33.3%
-11.7%
1.5
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
35
#35P Walton
12
33.3%
-11.7%
1.3
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
36
#36C Penton
9
33.3%
-11.7%
1.1
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
37
#37R Styles
6
33.3%
-11.7%
1.8
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
38
#38G Laws
6
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
6
Win Rate
33.3%
Bias Score
-11.7%
39
#39P Tierney
20
35.0%
-10.0%
2.1
⚠️ Potential Bias
Games
20
Win Rate
35.0%
Bias Score
-10.0%
40
#40S Hooper
17
35.3%
-9.7%
1.8
📊 Neutral
Games
17
Win Rate
35.3%
Bias Score
-9.7%
41
#41M Oliver
36
36.1%
-8.9%
1.4
📊 Neutral
Games
36
Win Rate
36.1%
Bias Score
-8.9%
42
#42T Bramall
8
37.5%
-7.5%
1.4
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
43
#43S Attwell
16
37.5%
-7.5%
1.8
📊 Neutral
Games
16
Win Rate
37.5%
Bias Score
-7.5%
44
#44C Foy
8
37.5%
-7.5%
1.4
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
45
#45A Woolmer
8
37.5%
-7.5%
2.0
📊 Neutral
Games
8
Win Rate
37.5%
Bias Score
-7.5%
46
#46S Barrott
5
40.0%
-5.0%
2.4
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
47
#47G Scott
10
40.0%
-5.0%
1.4
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
48
#48P Dowd
15
40.0%
-5.0%
2.0
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
49
#49A Hall
10
40.0%
-5.0%
1.4
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
50
#50P Armstrong
5
40.0%
-5.0%
1.6
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
51
#51L Mason
17
41.2%
-3.8%
1.5
📊 Neutral
Games
17
Win Rate
41.2%
Bias Score
-3.8%
52
#52R Beeby
7
42.9%
-2.1%
2.6
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
53
#53H Webb
11
45.5%
+0.5%
1.9
📊 Neutral
Games
11
Win Rate
45.5%
Bias Score
+0.5%
54
#54P Bankes
8
50.0%
+5.0%
1.9
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
55
#55C Kavanagh
10
50.0%
+5.0%
1.5
📊 Neutral
Games
10
Win Rate
50.0%
Bias Score
+5.0%
56
#56A D'Urso
14
50.0%
+5.0%
1.7
📊 Neutral
Games
14
Win Rate
50.0%
Bias Score
+5.0%
57
#57P Taylor
6
50.0%
+5.0%
2.7
📊 Neutral
Games
6
Win Rate
50.0%
Bias Score
+5.0%
58
#58A Bates
9
55.6%
+10.6%
1.4
✅ Favorable
Games
9
Win Rate
55.6%
Bias Score
+10.6%
59
#59R East
12
58.3%
+13.3%
1.8
✅ Favorable
Games
12
Win Rate
58.3%
Bias Score
+13.3%
60
#60K Stroud
10
60.0%
+15.0%
2.4
✅ Favorable
Games
10
Win Rate
60.0%
Bias Score
+15.0%
61
#61G Hegley
5
60.0%
+15.0%
0.4
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
62
#62L Probert
13
61.5%
+16.5%
0.8
✅ Favorable
Games
13
Win Rate
61.5%
Bias Score
+16.5%
63
#63K Hill
9
77.8%
+32.8%
1.3
✅ Favorable
Games
9
Win Rate
77.8%
Bias Score
+32.8%
64
#64P Joslin
5
80.0%
+35.0%
1.4
✅ Favorable
Games
5
Win Rate
80.0%
Bias Score
+35.0%
Note: Showing 64 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.