Updated Tuesday Dec. 25
2018-19 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 MunichBMU36 pts
|
1.40 | ↑ 1 | 76.5 | 59% |
| 2 |
DortmundBVB42 pts
|
1.80 | ↓ 1 | 74.0 | 40% |
| 3 |
RB LeipzigRBL31 pts
|
4.40 | - | 57.5 | <1% |
| 4 |
GladbachMGB33 pts
|
4.40 | ↑ 1 | 58.5 | <1% |
| 5 |
EintrachtFRA27 pts
|
5.20 | ↓ 1 | 53.5 | <1% |
| 6 |
HoffenheimHOF25 pts
|
6.00 | - | 51.0 | <1% |
| 7 |
LeverkusenLEV24 pts
|
6.60 | ↑ 1 | 50.0 | <1% |
| 8 |
WolfsburgWLF28 pts
|
7.80 | ↑ 2 | 51.0 | <1% |
| 9 |
Schalke 04SCH18 pts
|
8.80 | - | 43.5 | <1% |
| 10 |
Hertha BSCHER24 pts
|
10.00 | ↓ 3 | 45.5 | <1% |
| 11 |
Werder BremenBRE22 pts
|
10.20 | - | 44.0 | <1% |
| 12 |
MainzMNZ21 pts
|
12.40 | - | 40.0 | <1% |
| 13 |
SC FreiburgFRE21 pts
|
13.20 | ↑ 2 | 39.5 | <1% |
| 14 |
FC AugsburgAUG15 pts
|
14.00 | ↓ 1 | 35.0 | <1% |
| 15 |
FortunaFOR18 pts
|
15.40 | ↑ 2 | 33.5 | <1% |
| 16 |
VfB StuttgartSTU14 pts
|
15.40 | ↓ 2 | 32.5 | <1% |
| 17 |
Hannover 96HAN11 pts
|
16.20 | ↓ 1 | 27.5 | <1% |
| 18 |
NurnbergNUR11 pts
|
17.80 | - | 25.0 | <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 five 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 | WS | MY | FDB | ECI | AVERAGEAVG | |
| Bayern MunichBMU | 1 | 3 | 1 | 1 | 1 | 1.40 | |
| DortmundBVB | 2 | 1 | 2 | 2 | 2 | 1.80 | |
| RB LeipzigRBL | 3 | 2 | 6 | 4 | 7 | 4.40 | |
| GladbachMGB | 8 | 4 | 3 | 3 | 4 | 4.40 | |
| EintrachtFRA | 5 | 6 | 4 | 5 | 6 | 5.20 | |
| HoffenheimHOF | 4 | 5 | 7 | 6 | 8 | 6.00 | |
| LeverkusenLEV | 6 | 9 | 8 | 7 | 3 | 6.60 | |
| WolfsburgWLF | 9 | 7 | 5 | 9 | 9 | 7.80 | |
| Schalke 04SCH | 7 | 12 | 12 | 8 | 5 | 8.80 | |
| Hertha BSCHER | 11 | 8 | 9 | 11 | 11 | 10.00 | |
| Werder BremenBRE | 10 | 11 | 10 | 10 | 10 | 10.20 | |
| MainzMNZ | 13 | 14 | 11 | 12 | 12 | 12.40 | |
| SC FreiburgFRE | 14 | 13 | 13 | 13 | 13 | 13.20 | |
| FC AugsburgAUG | 12 | 10 | 15 | 18 | 15 | 14.00 | |
| FortunaFOR | 15 | 15 | 14 | 16 | 17 | 15.40 | |
| VfB StuttgartSTU | 16 | 17 | 16 | 14 | 14 | 15.40 | |
| Hannover 96HAN | 17 | 16 | 17 | 15 | 16 | 16.20 | |
| NurnbergNUR | 18 | 18 | 18 | 17 | 18 | 17.80 | |
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 | WS | MY | FDB | ECI | STAN DEVSTDEV |
| NurnbergNUR | 18 | 18 | 18 | 17 | 18 | 0.447 |
| DortmundBVB | 2 | 1 | 2 | 2 | 2 | 0.447 |
| SC FreiburgFRE | 14 | 13 | 13 | 13 | 13 | 0.447 |
| Werder BremenBRE | 10 | 11 | 10 | 10 | 10 | 0.447 |
| Hannover 96HAN | 17 | 16 | 17 | 15 | 16 | 0.837 |
| EintrachtFRA | 5 | 6 | 4 | 5 | 6 | 0.837 |
| Bayern MunichBMU | 1 | 3 | 1 | 1 | 1 | 0.894 |
| FortunaFOR | 15 | 15 | 14 | 16 | 17 | 1.140 |
| MainzMNZ | 13 | 14 | 11 | 12 | 12 | 1.140 |
| VfB StuttgartSTU | 16 | 17 | 16 | 14 | 14 | 1.342 |
| Hertha BSCHER | 11 | 8 | 9 | 11 | 11 | 1.414 |
| HoffenheimHOF | 4 | 5 | 7 | 6 | 8 | 1.581 |
| WolfsburgWLF | 9 | 7 | 5 | 9 | 9 | 1.789 |
| RB LeipzigRBL | 3 | 2 | 6 | 4 | 7 | 2.074 |
| GladbachMGB | 8 | 4 | 3 | 3 | 4 | 2.074 |
| LeverkusenLEV | 6 | 9 | 8 | 7 | 3 | 2.302 |
| FC AugsburgAUG | 12 | 10 | 15 | 18 | 15 | 3.082 |
| Schalke 04SCH | 7 | 12 | 12 | 8 | 5 | 3.114 |
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