Updated Tuesday Nov. 30
2021 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 MunichBMU31 pts
|
1.00 | - | 81.5 | 86% |
| 2 |
DortmundBVB30 pts
|
3.33 | - | 64.5 | 8% |
| 3 |
LeverkusenLEV24 pts
|
3.33 | - | 58.5 | <1% |
| 4 |
RB LeipzigRBL18 pts
|
4.00 | - | 61.0 | 4% |
| 5 |
GladbachMGB18 pts
|
6.67 | - | 50.0 | <1% |
| 6 |
SC FreiburgFRE22 pts
|
7.00 | - | 48.5 | <1% |
| 7 |
HoffenheimHOF20 pts
|
8.33 | - | 49.0 | <1% |
| 8 |
EintrachtFRA18 pts
|
8.33 | - | 48.5 | <1% |
| 9 |
1. FC KölnCOL18 pts
|
8.67 | - | 44.0 | <1% |
| 10 |
MainzMNZ18 pts
|
9.33 | - | 45.0 | <1% |
| 11 |
Union BerlinFCUB20 pts
|
9.33 | - | 46.5 | <1% |
| 12 |
WolfsburgWLF20 pts
|
9.67 | - | 50.0 | <1% |
| 13 |
Hertha BSCHER14 pts
|
13.67 | - | 37.5 | <1% |
| 14 |
VfB StuttgartSTU13 pts
|
13.67 | - | 36.5 | <1% |
| 15 |
FC AugsburgAUG13 pts
|
14.33 | - | 35.0 | <1% |
| 16 |
VfL BochumBOC16 pts
|
15.67 | - | 37.0 | <1% |
| 17 |
ArminiaDSC9 pts
|
16.67 | - | 29.0 | <1% |
| 18 |
FürthFUR1 pts
|
18.00 | - | 17.0 | <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), WhoScored (WS), Massey Ratings (MY), FootballDatabase (FDB) and Euro Club Index (ECI).
| SITES PULLED FROM | ||||
|---|---|---|---|---|
| TEAM | 538 | MY | ECI | AVERAGEAVG |
| Bayern MunichBMU | 1 | 1 | 1 | 1.00 |
| DortmundBVB | 3 | 5 | 2 | 3.33 |
| LeverkusenLEV | 4 | 2 | 4 | 3.33 |
| RB LeipzigRBL | 2 | 7 | 3 | 4.00 |
| GladbachMGB | 5 | 8 | 7 | 6.67 |
| SC FreiburgFRE | 9 | 3 | 9 | 7.00 |
| HoffenheimHOF | 6 | 11 | 8 | 8.33 |
| EintrachtFRA | 11 | 9 | 5 | 8.33 |
| 1. FC KölnCOL | 10 | 4 | 12 | 8.67 |
| MainzMNZ | 7 | 10 | 11 | 9.33 |
| Union BerlinFCUB | 12 | 6 | 10 | 9.33 |
| WolfsburgWLF | 8 | 15 | 6 | 9.67 |
| Hertha BSCHER | 15 | 13 | 13 | 13.67 |
| VfB StuttgartSTU | 13 | 14 | 14 | 13.67 |
| FC AugsburgAUG | 16 | 12 | 15 | 14.33 |
| VfL BochumBOC | 14 | 16 | 17 | 15.67 |
| ArminiaDSC | 17 | 17 | 16 | 16.67 |
| FürthFUR | 18 | 18 | 18 | 18.00 |
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.
| SITES PULLED FROM | ||||
|---|---|---|---|---|
| TEAM | 538 | MY | ECI | STAN DEVSTDEV |
| Bayern MunichBMU | 1 | 1 | 1 | 0.000 |
| FürthFUR | 18 | 18 | 18 | 0.000 |
| ArminiaDSC | 17 | 17 | 16 | 0.577 |
| VfB StuttgartSTU | 13 | 14 | 14 | 0.577 |
| LeverkusenLEV | 4 | 2 | 4 | 1.155 |
| Hertha BSCHER | 15 | 13 | 13 | 1.155 |
| GladbachMGB | 5 | 8 | 7 | 1.528 |
| VfL BochumBOC | 14 | 16 | 17 | 1.528 |
| DortmundBVB | 3 | 5 | 2 | 1.528 |
| FC AugsburgAUG | 16 | 12 | 15 | 2.082 |
| MainzMNZ | 7 | 10 | 11 | 2.082 |
| HoffenheimHOF | 6 | 11 | 8 | 2.517 |
| RB LeipzigRBL | 2 | 7 | 3 | 2.646 |
| EintrachtFRA | 11 | 9 | 5 | 3.055 |
| Union BerlinFCUB | 12 | 6 | 10 | 3.055 |
| SC FreiburgFRE | 9 | 3 | 9 | 3.464 |
| 1. FC KölnCOL | 10 | 4 | 12 | 4.163 |
| WolfsburgWLF | 8 | 15 | 6 | 4.726 |
Follow Us
