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
RANKING
AVG
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).

TEAM 538 WS MY FDBECI 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.

TEAM 538 WS MY FDBECI 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