Updated Monday Mar. 20

2023 Composite Bundesliga Rankings

Calculated by aggregating computer generated power rankings from around the web and determining each team’s average ranking.

TEAM AVERAGE
RANKING
AVG
1-WEEK
MOVE
PROJECTED
POINTS
WIN
LEAGUE
1
Bayern MunichBMU52 pts
1.00 - 72.5 73%
2
DortmundBVB53 pts
2.33 ↑ 1 69.5 13%
3
RB LeipzigRBL45 pts
2.67 ↓ 1 61.5 13%
4
LeverkusenLEV37 pts
4.67 ↑ 1 51.0 <1%
5
Union BerlinFCUB48 pts
6.00 ↓ 1 61.5 <1%
6
EintrachtFRA40 pts
6.67 - 54.5 <1%
7
WolfsburgWLF38 pts
7.00 ↑ 1 52.0 <1%
8
SC FreiburgFRE46 pts
7.00 ↓ 1 58.5 <1%
9
MainzMNZ37 pts
8.00 - 48.0 <1%
10
GladbachMGB31 pts
9.67 - 42.5 <1%
11
1. FC KlnCOL27 pts
11.33 - 38.0 <1%
12
VfB StuttgartSTU20 pts
13.00 - 30.5 <1%
13
HoffenheimHOF22 pts
13.33 ↑ 1 32.0 <1%
14
Werder BremenBRE31 pts
13.33 ↓ 1 40.5 <1%
15
FC AugsburgAUG28 pts
14.67 - 36.5 <1%
16
VfL BochumBOC25 pts
16.33 ↑ 1 34.0 <1%
17
Schalke 04SCH21 pts
17.00 ↑ 1 29.5 <1%
18
Hertha BSCHER21 pts
17.00 ↓ 2 29.5 <1%

How We Calculate: Our Bundesliga Composite Power Rankings are calculated by aggregating computer rankings from around the web and determining each team’s average ranking. Up or down movement within our rankings versus the previous week is provided for each team. Some of these sites also project teams’ future success. We collect this info and calculate each team’s average total points projection and Bundesliga title odds.

Our heat chart below shows how each of the three sites we pull from ranks all 18 teams. We pull from FiveThirtyEight (538), Massey Ratings (MY) and Euro Club Index (ECI).

TEAM 538 MY ECI AVERAGEAVG
Bayern MunichBMU 1 1 1 1.00
DortmundBVB 3 2 2 2.33
RB LeipzigRBL 2 3 3 2.67
LeverkusenLEV 4 5 5 4.67
Union BerlinFCUB 10 4 4 6.00
EintrachtFRA 7 7 6 6.67
WolfsburgWLF 5 8 8 7.00
SC FreiburgFRE 8 6 7 7.00
MainzMNZ 6 9 9 8.00
GladbachMGB 9 10 10 9.67
1. FC KlnCOL 12 11 11 11.33
VfB StuttgartSTU 11 12 16 13.00
HoffenheimHOF 13 15 12 13.33
Werder BremenBRE 14 13 13 13.33
FC AugsburgAUG 16 14 14 14.67
VfL BochumBOC 18 16 15 16.33
Schalke 04SCH 15 18 18 17.00
Hertha BSCHER 17 17 17 17.00

Standard deviation is a statistical tool used to measure the variance within a set of numbers. In the table below, we use standard deviation to determine which teams are ranked the most and least consistently. A low number indicates that a team is ranked consistently across the five sites we pull from. A high number indicates an inconsistently ranked team.

TEAM 538 MY ECI STAN DEVSTDEV
Bayern MunichBMU 1 1 1 0.000
Hertha BSCHER 17 17 17 0.000
RB LeipzigRBL 2 3 3 0.577
Werder BremenBRE 14 13 13 0.577
1. FC KlnCOL 12 11 11 0.577
DortmundBVB 3 2 2 0.577
GladbachMGB 9 10 10 0.577
EintrachtFRA 7 7 6 0.577
LeverkusenLEV 4 5 5 0.577
SC FreiburgFRE 8 6 7 1.000
FC AugsburgAUG 16 14 14 1.155
VfL BochumBOC 18 16 15 1.528
HoffenheimHOF 13 15 12 1.528
MainzMNZ 6 9 9 1.732
Schalke 04SCH 15 18 18 1.732
WolfsburgWLF 5 8 8 1.732
VfB StuttgartSTU 11 12 16 2.646
Union BerlinFCUB 10 4 4 3.464