EDGERATING
Methodology

Ligue 1 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 72 played matches — see gameweek predictions.

Match Predictor

vs
#TeamPowerΔ seasonAttackDefenseConfidence
1 PSG Paris Saint-Germain 73.2 ▲ 0.2
72
73
88%
2 RCL Lens 63.4 ▼ 1.6
65
61
84%
3 OL Lyon 60.1 ▲ 2.6
55
64
82%
4 OM Marseille 59.8 ▲ 0.8
67
51
82%
5 LIL Lille 59.6 ▲ 0.6
51
67
84%
6 ASM Monaco 56.3 ▲ 3.3
58
54
81%
7 REN Rennes 56.0 ▲ 1.5
65
46
82%
8 PFC Paris FC 52.2 ▲ 3.2
50
54
80%
9 TFC Toulouse 50.8 ▲ 0.3
48
52
81%
10 STR Strasbourg 50.1 ▼ 4.9
54
45
82%
11 FCL Lorient 49.3 ▲ 0.3
42
56
80%
12 SB29 Brest 45.6 ▲ 1.6
47
43
80%
13 AJA Auxerre 40.7 ▼ 2.8
35
45
80%
14 HAC Le Havre 40.2 ▼ 3.3
30
49
80%
15 OGC Nice 39.6 ▲ 1.6
34
44
78%
16 SCO Angers 38.6 ▼ 1.9
30
46
80%
17 LMFC Le Mans 34.9 ▲ 0.9
34
35
65%
18 EST Troyes 33.6 ▼ 2.4
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.