EDGERATING
Methodology

Serie A 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 INT Inter Milan 76.2 ▲ 2.2
86
65
87%
2 ROM Roma 71.0 ▲ 6.0
71
70
85%
3 COM Como 67.0 ▲ 1.5
66
67
78%
4 MIL AC Milan 64.7 ▲ 3.7
64
64
84%
5 NAP Napoli 63.8 ▼ 0.7
63
63
85%
6 JUV Juventus 61.6 ▼ 0.9
59
63
84%
7 LAZ Lazio 58.4 ▲ 6.9
54
62
82%
8 ATA Atalanta 56.6 ▼ 2.4
60
52
82%
9 BOL Bologna 52.8 ▼ 1.2
50
54
82%
10 SAS Sassuolo 46.9 ▼ 1.6
51
41
80%
11 TOR Torino 45.9 ▲ 3.4
50
41
80%
12 UDI Udinese 44.0 ▼ 6.0
46
40
80%
13 CAG Cagliari 43.8 ▼ 0.7
38
48
80%
14 GEN Genoa 41.4 ▼ 3.6
38
44
80%
15 FIO Fiorentina 41.3 ▼ 4.2
42
39
80%
16 FRO Frosinone 41.2 ▲ 6.2
44
38
67%
17 MON Monza 39.0 ▲ 1.5
45
32
69%
18 LEC Lecce 38.5 ▼ 1.0
33
43
80%
19 PAR Parma 38.0 ▼ 4.5
27
48
80%
20 VEN Venezia 33.0 ▼ 4.5
31
34
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.