EDGERATING
Methodology

Bundesliga 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 63 played matches — see gameweek predictions.

Match Predictor

vs
#TeamPowerΔ seasonAttackDefenseConfidence
1 BAY Bayern Munich 82.6 ▲ 4.1
88
76
89%
2 BVB Borussia Dortmund 67.2 ▼ 0.3
58
76
86%
3 RBL RB Leipzig 63.1 ▲ 3.6
68
58
83%
4 B04 Bayer Leverkusen 60.1 ▼ 0.4
64
55
83%
5 VFB VfB Stuttgart 56.1 ▼ 3.9
58
53
83%
6 TSG TSG Hoffenheim 54.4 ▼ 1.6
59
49
82%
7 SCF SC Freiburg 52.6 ▲ 4.6
52
52
82%
8 FCA FC Augsburg 46.4 ▲ 3.9
48
43
80%
9 M05 Mainz 05 45.2 ▲ 0.7
44
46
80%
10 SGE Eintracht Frankfurt 44.9 ▼ 3.1
52
37
80%
11 SVW Werder Bremen 42.2 ▲ 3.7
40
43
80%
12 KOE 1. FC Köln 42.0 ▼ 2.0
39
44
80%
13 HSV Hamburger SV 39.6 ▼ 3.4
31
47
80%
14 S04 Schalke 04 39.4 ▲ 0.4
27
50
66%
15 ELV SV Elversberg 39.2 ▲ 1.7
40
37
64%
16 FCU Union Berlin 38.6 ▼ 4.4
33
43
80%
17 BMG Borussia Mönchengladbach 38.5 ▼ 5.0
38
38
80%
18 SCP SC Paderborn 37.4 ▲ 1.4
31
43
64%

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.