Updated Monday May. 29

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 MunichBMU71 pts
1.00 - 71.0 >99%
2
DortmundBVB71 pts
2.33 - 71.0 <1%
3
RB LeipzigRBL66 pts
2.67 - 66.0 <1%
4
LeverkusenLEV50 pts
5.00 - 50.0 <1%
5
EintrachtFRA50 pts
6.67 ↑ 1 50.0 <1%
6
Union BerlinFCUB62 pts
6.67 ↓ 1 62.0 <1%
7
SC FreiburgFRE59 pts
7.33 ↑ 1 59.0 <1%
8
WolfsburgWLF49 pts
7.67 ↓ 1 49.0 <1%
9
MainzMNZ46 pts
9.00 - 46.0 <1%
10
1. FC KlnCOL42 pts
9.33 - 42.0 <1%
11
GladbachMGB43 pts
10.00 - 43.0 <1%
12
VfB StuttgartSTU33 pts
10.67 - 33.0 <1%
13
HoffenheimHOF36 pts
13.00 - 36.0 <1%
14
Werder BremenBRE36 pts
14.33 - 36.0 <1%
15
FC AugsburgAUG34 pts
15.33 - 34.0 <1%
16
VfL BochumBOC35 pts
16.00 - 35.0 <1%
17
Schalke 04SCH31 pts
16.67 - 31.0 <1%
18
Hertha BSCHER29 pts
17.33 - 29.0 <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 2 2 3 2.33
RB LeipzigRBL 3 3 2 2.67
LeverkusenLEV 4 6 5 5.00
EintrachtFRA 6 7 7 6.67
Union BerlinFCUB 12 4 4 6.67
SC FreiburgFRE 11 5 6 7.33
WolfsburgWLF 7 8 8 7.67
MainzMNZ 8 9 10 9.00
1. FC KlnCOL 5 12 11 9.33
GladbachMGB 10 11 9 10.00
VfB StuttgartSTU 9 10 13 10.67
HoffenheimHOF 14 13 12 13.00
Werder BremenBRE 13 14 16 14.33
FC AugsburgAUG 16 15 15 15.33
VfL BochumBOC 17 17 14 16.00
Schalke 04SCH 15 18 17 16.67
Hertha BSCHER 18 16 18 17.33

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
WolfsburgWLF 7 8 8 0.577
FC AugsburgAUG 16 15 15 0.577
EintrachtFRA 6 7 7 0.577
RB LeipzigRBL 3 3 2 0.577
DortmundBVB 2 2 3 0.577
LeverkusenLEV 4 6 5 1.000
HoffenheimHOF 14 13 12 1.000
MainzMNZ 8 9 10 1.000
GladbachMGB 10 11 9 1.000
Hertha BSCHER 18 16 18 1.155
Werder BremenBRE 13 14 16 1.528
Schalke 04SCH 15 18 17 1.528
VfL BochumBOC 17 17 14 1.732
VfB StuttgartSTU 9 10 13 2.082
SC FreiburgFRE 11 5 6 3.215
1. FC KlnCOL 5 12 11 3.786
Union BerlinFCUB 12 4 4 4.619