⚽ Team Analysis
NewcastleReferee Analysis
Analysis of 87 referees across 988 matches
87
Referees
988
Matches
⚠️
Most Biased Against
A Woolmer
Bias Score: -45.0%•2 games
✅
Most Favorable
D Pugh
Bias Score: +55.0%•1 games
Our comprehensive referee bias analysis for Newcastle examines 87 referees across 988 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 Woolmer ranks as the most biased against Newcastle with a -45.0% bias score over 2 matches. Conversely, D Pugh 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
#1M Messias
6
0.0%
-45.0%
1.8
🚨 Strong Bias
Games
6
Win Rate
0.0%
Bias Score
-45.0%
2
#2P Walton
8
12.5%
-32.5%
1.6
🚨 Strong Bias
Games
8
Win Rate
12.5%
Bias Score
-32.5%
3
#3R Madley
7
14.3%
-30.7%
0.9
🚨 Strong Bias
Games
7
Win Rate
14.3%
Bias Score
-30.7%
4
#4M Jones
20
20.0%
-25.0%
1.9
🚨 Strong Bias
Games
20
Win Rate
20.0%
Bias Score
-25.0%
5
#5U Rennie
9
22.2%
-22.8%
1.8
🚨 Strong Bias
Games
9
Win Rate
22.2%
Bias Score
-22.8%
6
#6A Marriner
47
23.4%
-21.6%
1.6
🚨 Strong Bias
Games
47
Win Rate
23.4%
Bias Score
-21.6%
7
#7H Webb
39
25.6%
-19.4%
1.8
⚠️ Potential Bias
Games
39
Win Rate
25.6%
Bias Score
-19.4%
8
#8P Tierney
18
27.8%
-17.2%
1.8
⚠️ Potential Bias
Games
18
Win Rate
27.8%
Bias Score
-17.2%
9
#9L Mason
29
31.0%
-14.0%
1.6
⚠️ Potential Bias
Games
29
Win Rate
31.0%
Bias Score
-14.0%
10
#10P Bankes
19
31.6%
-13.4%
2.1
⚠️ Potential Bias
Games
19
Win Rate
31.6%
Bias Score
-13.4%
11
#11M Riley
25
32.0%
-13.0%
1.8
⚠️ Potential Bias
Games
25
Win Rate
32.0%
Bias Score
-13.0%
12
#12S Hooper
21
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
21
Win Rate
33.3%
Bias Score
-11.7%
13
#13T Robinson
9
33.3%
-11.7%
1.0
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
14
#14G Scott
12
33.3%
-11.7%
1.4
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
15
#15R East
9
33.3%
-11.7%
2.1
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
16
#16L Probert
15
33.3%
-11.7%
1.0
⚠️ Potential Bias
Games
15
Win Rate
33.3%
Bias Score
-11.7%
17
#17P Dowd
30
33.3%
-11.7%
1.7
⚠️ Potential Bias
Games
30
Win Rate
33.3%
Bias Score
-11.7%
18
#18M Halsey
30
33.3%
-11.7%
1.1
⚠️ Potential Bias
Games
30
Win Rate
33.3%
Bias Score
-11.7%
19
#19A D'Urso
12
33.3%
-11.7%
2.0
⚠️ Potential Bias
Games
12
Win Rate
33.3%
Bias Score
-11.7%
20
#20N Barry
9
33.3%
-11.7%
0.8
⚠️ Potential Bias
Games
9
Win Rate
33.3%
Bias Score
-11.7%
21
#21M Dean
53
34.0%
-11.0%
2.0
⚠️ Potential Bias
Games
53
Win Rate
34.0%
Bias Score
-11.0%
22
#22C Pawson
40
35.0%
-10.0%
1.6
⚠️ Potential Bias
Games
40
Win Rate
35.0%
Bias Score
-10.0%
23
#23M Atkinson
48
35.4%
-9.6%
1.6
📊 Neutral
Games
48
Win Rate
35.4%
Bias Score
-9.6%
24
#24A Madley
14
35.7%
-9.3%
2.2
📊 Neutral
Games
14
Win Rate
35.7%
Bias Score
-9.3%
25
#25D Coote
13
38.5%
-6.5%
1.8
📊 Neutral
Games
13
Win Rate
38.5%
Bias Score
-6.5%
26
#26R Styles
23
39.1%
-5.9%
1.6
📊 Neutral
Games
23
Win Rate
39.1%
Bias Score
-5.9%
27
#27T Bramall
5
40.0%
-5.0%
1.8
📊 Neutral
Games
5
Win Rate
40.0%
Bias Score
-5.0%
28
#28J Gillett
10
40.0%
-5.0%
2.1
📊 Neutral
Games
10
Win Rate
40.0%
Bias Score
-5.0%
29
#29N Swarbrick
15
40.0%
-5.0%
1.6
📊 Neutral
Games
15
Win Rate
40.0%
Bias Score
-5.0%
30
#30C Kavanagh
29
41.4%
-3.6%
1.7
📊 Neutral
Games
29
Win Rate
41.4%
Bias Score
-3.6%
31
#31S Bennett
26
42.3%
-2.7%
1.5
📊 Neutral
Games
26
Win Rate
42.3%
Bias Score
-2.7%
32
#32A Taylor
35
42.9%
-2.1%
1.6
📊 Neutral
Games
35
Win Rate
42.9%
Bias Score
-2.1%
33
#33A Wiley
28
42.9%
-2.1%
1.6
📊 Neutral
Games
28
Win Rate
42.9%
Bias Score
-2.1%
34
#34G Barber
7
42.9%
-2.1%
1.1
📊 Neutral
Games
7
Win Rate
42.9%
Bias Score
-2.1%
35
#35C Foy
34
44.1%
-0.9%
1.4
📊 Neutral
Games
34
Win Rate
44.1%
Bias Score
-0.9%
36
#36B Knight
9
44.4%
-0.6%
1.7
📊 Neutral
Games
9
Win Rate
44.4%
Bias Score
-0.6%
37
#37S Attwell
30
50.0%
+5.0%
1.9
📊 Neutral
Games
30
Win Rate
50.0%
Bias Score
+5.0%
38
#38G Poll
18
50.0%
+5.0%
1.3
📊 Neutral
Games
18
Win Rate
50.0%
Bias Score
+5.0%
39
#39P Durkin
8
50.0%
+5.0%
0.4
📊 Neutral
Games
8
Win Rate
50.0%
Bias Score
+5.0%
40
#40K Friend
25
52.0%
+7.0%
1.6
📊 Neutral
Games
25
Win Rate
52.0%
Bias Score
+7.0%
41
#41D England
11
54.5%
+9.5%
1.6
📊 Neutral
Games
11
Win Rate
54.5%
Bias Score
+9.5%
42
#42D Gallagher
11
54.5%
+9.5%
1.6
📊 Neutral
Games
11
Win Rate
54.5%
Bias Score
+9.5%
43
#43J Winter
7
57.1%
+12.1%
0.6
✅ Favorable
Games
7
Win Rate
57.1%
Bias Score
+12.1%
44
#44M Salisbury
5
60.0%
+15.0%
1.6
✅ Favorable
Games
5
Win Rate
60.0%
Bias Score
+15.0%
45
#45R Jones
15
60.0%
+15.0%
1.7
✅ Favorable
Games
15
Win Rate
60.0%
Bias Score
+15.0%
46
#46J Brooks
8
62.5%
+17.5%
1.6
✅ Favorable
Games
8
Win Rate
62.5%
Bias Score
+17.5%
47
#47S Dunn
11
63.6%
+18.6%
1.1
✅ Favorable
Games
11
Win Rate
63.6%
Bias Score
+18.6%
48
#48T Harrington
7
71.4%
+26.4%
0.6
✅ Favorable
Games
7
Win Rate
71.4%
Bias Score
+26.4%
Note: Showing 48 referees with 5+ games. Bias Score compares win rate under each referee vs. baseline (45%). Click any referee for detailed match-by-match analysis.