Updated Tuesday May. 10
2022 Composite Bundesliga Rankings
Calculated by aggregating computer generated power rankings from around the web and determining each team’s average ranking.
| TEAM | AVERAGE RANKINGAVG |
1-WEEK MOVE |
PROJECTED POINTS |
WIN LEAGUE |
|
|---|---|---|---|---|---|
| 1 |
Bayern MunichBMU76 pts
|
1.00 | - | 78.0 | >99% |
| 2 |
RB LeipzigRBL57 pts
|
2.00 | - | 63.5 | <1% |
| 3 |
DortmundBVB66 pts
|
3.33 | - | 65.5 | <1% |
| 4 |
LeverkusenLEV61 pts
|
3.67 | - | 60.5 | <1% |
| 5 |
SC FreiburgFRE55 pts
|
6.33 | - | 51.5 | <1% |
| 6 |
Union BerlinFCUB54 pts
|
6.67 | - | 55.5 | <1% |
| 7 |
EintrachtFRA41 pts
|
7.67 | - | 42.0 | <1% |
| 8 |
1. FC KölnCOL52 pts
|
8.33 | - | 53.0 | <1% |
| 9 |
MainzMNZ45 pts
|
9.00 | ↑ 1 | 51.0 | <1% |
| 10 |
GladbachMGB42 pts
|
9.00 | ↑ 1 | 45.0 | <1% |
| 11 |
HoffenheimHOF46 pts
|
10.33 | ↓ 2 | 45.0 | <1% |
| 12 |
WolfsburgWLF41 pts
|
11.67 | - | 42.0 | <1% |
| 13 |
VfL BochumBOC42 pts
|
13.33 | - | 39.5 | <1% |
| 14 |
FC AugsburgAUG35 pts
|
13.67 | - | 35.0 | <1% |
| 15 |
VfB StuttgartSTU30 pts
|
14.00 | ↑ 1 | 36.5 | <1% |
| 16 |
Hertha BSCHER33 pts
|
16.00 | ↓ 1 | 32.0 | <1% |
| 17 |
ArminiaDSC27 pts
|
17.33 | - | 23.0 | <1% |
| 18 |
FürthFUR18 pts
|
17.67 | - | 22.5 | <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).
| SITES PULLED FROM | ||||
|---|---|---|---|---|
| TEAM | 538 | MY | ECI | AVERAGEAVG |
| Bayern MunichBMU | 1 | 1 | 1 | 1.00 |
| RB LeipzigRBL | 2 | 2 | 2 | 2.00 |
| DortmundBVB | 3 | 4 | 3 | 3.33 |
| LeverkusenLEV | 4 | 3 | 4 | 3.67 |
| SC FreiburgFRE | 8 | 5 | 6 | 6.33 |
| Union BerlinFCUB | 5 | 8 | 7 | 6.67 |
| EintrachtFRA | 12 | 6 | 5 | 7.67 |
| 1. FC KölnCOL | 7 | 7 | 11 | 8.33 |
| MainzMNZ | 6 | 9 | 12 | 9.00 |
| GladbachMGB | 9 | 10 | 8 | 9.00 |
| HoffenheimHOF | 10 | 11 | 10 | 10.33 |
| WolfsburgWLF | 11 | 15 | 9 | 11.67 |
| VfL BochumBOC | 14 | 13 | 13 | 13.33 |
| FC AugsburgAUG | 15 | 12 | 14 | 13.67 |
| VfB StuttgartSTU | 13 | 14 | 15 | 14.00 |
| Hertha BSCHER | 16 | 16 | 16 | 16.00 |
| ArminiaDSC | 18 | 17 | 17 | 17.33 |
| FürthFUR | 17 | 18 | 18 | 17.67 |
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.
| SITES PULLED FROM | ||||
|---|---|---|---|---|
| TEAM | 538 | MY | ECI | STAN DEVSTDEV |
| Bayern MunichBMU | 1 | 1 | 1 | 0.000 |
| RB LeipzigRBL | 2 | 2 | 2 | 0.000 |
| Hertha BSCHER | 16 | 16 | 16 | 0.000 |
| ArminiaDSC | 18 | 17 | 17 | 0.577 |
| VfL BochumBOC | 14 | 13 | 13 | 0.577 |
| HoffenheimHOF | 10 | 11 | 10 | 0.577 |
| FürthFUR | 17 | 18 | 18 | 0.577 |
| DortmundBVB | 3 | 4 | 3 | 0.577 |
| LeverkusenLEV | 4 | 3 | 4 | 0.577 |
| GladbachMGB | 9 | 10 | 8 | 1.000 |
| VfB StuttgartSTU | 13 | 14 | 15 | 1.000 |
| FC AugsburgAUG | 15 | 12 | 14 | 1.528 |
| SC FreiburgFRE | 8 | 5 | 6 | 1.528 |
| Union BerlinFCUB | 5 | 8 | 7 | 1.528 |
| 1. FC KölnCOL | 7 | 7 | 11 | 2.309 |
| MainzMNZ | 6 | 9 | 12 | 3.000 |
| WolfsburgWLF | 11 | 15 | 9 | 3.055 |
| EintrachtFRA | 12 | 6 | 5 | 3.786 |
Follow Us
