EDGERATING
Methodology

Premier League Power Ratings

Two-dimensional team strength (attack / defense) fitted on xG process data, converted to match probabilities through a Dixon-Coles engine. Live: preseason baseline corrected by 80 played matches — see gameweek predictions.

Match Predictor

vs
#TeamPowerΔ seasonAttackDefenseConfidence
1 ARS Arsenal 82.7 ▼ 1.8
69
96
89%
2 MCI Manchester City 75.1 ▲ 1.1
78
72
87%
3 LIV Liverpool 71.8 ▼ 2.2
66
77
87%
4 BHA Brighton & Hove Albion 66.4 ▲ 10.4
70
62
82%
5 CHE Chelsea 63.1 ▼ 1.4
66
59
84%
6 NEW Newcastle United 59.6 ▼ 4.4
58
60
84%
7 AVL Aston Villa 58.8 ▼ 1.7
56
60
84%
8 TOT Tottenham Hotspur 55.6 ▼ 1.4
56
54
78%
9 BRE Brentford 55.6 ▲ 3.6
54
56
82%
10 BOU AFC Bournemouth 53.7 ▲ 1.7
54
52
80%
11 MUN Manchester United 53.0 ▼ 4.0
51
54
78%
12 LEE Leeds United 50.8 ▲ 4.3
42
58
77%
13 FUL Fulham 50.1 ▼ 1.4
42
57
82%
14 CRY Crystal Palace 49.5 ▼ 7.0
46
52
84%
15 NFO Nottingham Forest 49.3 ▼ 2.2
36
62
80%
16 EVE Everton 48.9 ▲ 0.4
36
61
82%
17 SUN Sunderland 41.2 ▼ 1.8
34
47
77%
18 IPS Ipswich Town 40.3 ▲ 2.3
39
41
67%
19 HUL Hull City 37.9 ▲ 5.4
28
47
67%
20 COV Coventry City 34.2 ▲ 0.2
28
39
67%

Scale: 50 = league average; each point ≈ 1.5% multiplicative change in expected goal output. Power = (Attack + Defense) / 2, display only — predictions always use the two underlying parameters. Δ season = movement vs the preseason baseline from played matches (surprise vs model expectation, capped per match — one result is mostly variance). Promoted clubs start with low confidence; it rises with sample.