Updated Tuesday Dec. 25

2018-19 Composite Ligue 1 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
PSGPSG47 pts
1.00 - 98.5 >99%
2
LyonLYON32 pts
2.00 - 68.5 <1%
3
St EtienneSTE30 pts
5.40 ↑ 3 59.0 <1%
4
MarseilleMRS27 pts
5.80 - 59.5 <1%
5
MontpellierMON30 pts
6.00 ↓ 2 57.0 <1%
6
RennesREN26 pts
6.60 ↑ 4 55.0 <1%
7
BordeauxBOR22 pts
7.20 ↑ 2 50.0 <1%
8
LilleLOSC34 pts
8.00 ↓ 3 59.0 <1%
9
NiceNICE26 pts
8.80 ↓ 2 53.5 <1%
10
StrasbourgSTRA26 pts
9.20 ↑ 1 48.5 <1%
11
NantesNAN23 pts
10.40 ↓ 3 48.0 <1%
12
NimesNIM23 pts
12.40 ↑ 1 47.0 <1%
13
ReimsREI26 pts
12.60 ↓ 1 48.5 <1%
14
AngersANG20 pts
13.40 - 43.5 <1%
15
MonacoMON13 pts
13.60 - 41.5 <1%
16
ToulouseTOU21 pts
16.00 ↑ 3 43.5 <1%
17
GuingampGUI11 pts
17.40 ↑ 3 34.0 <1%
18
CaenCAN18 pts
17.80 - 38.0 <1%
19
DijonDIJ16 pts
18.00 ↓ 2 37.5 <1%
20
AmiensAMI18 pts
18.40 ↓ 4 37.5 <1%

How We Calculate: Our Ligue 1 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 Ligue 1 title odds.

Our heat chart below shows how each of the five sites we pull from ranks all 20 teams. We pull from FiveThirtyEight (538), WhoScored (WS), Massey Ratings (MY), FootballDatabase (FDB) and Euro Club Index (ECI).

TEAM 538 WS MY FDBECI AVERAGEAVG
PSGPSG 1 1 1 1 1 1.00
LyonLYON 2 2 2 2 2 2.00
St EtienneSTE 6 5 8 3 5 5.40
MarseilleMRS 3 4 14 4 4 5.80
MontpellierMON 5 3 7 6 9 6.00
RennesREN 4 12 5 5 7 6.60
BordeauxBOR 11 8 4 7 6 7.20
LilleLOSC 7 9 6 8 10 8.00
NiceNICE 8 10 9 9 8 8.80
StrasbourgSTRA 10 6 3 10 17 9.20
NantesNAN 9 11 10 11 11 10.40
NimesNIM 14 7 12 14 15 12.40
ReimsREI 15 13 11 12 12 12.60
AngersANG 12 14 13 15 13 13.40
MonacoMON 13 20 19 13 3 13.60
ToulouseTOU 17 17 15 17 14 16.00
GuingampGUI 16 18 18 19 16 17.40
CaenCAN 19 15 16 20 19 17.80
DijonDIJ 18 16 20 18 18 18.00
AmiensAMI 20 19 17 16 20 18.40

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
PSGPSG 1 1 1 1 1 0.000
LyonLYON 2 2 2 2 2 0.000
NiceNICE 8 10 9 9 8 0.837
NantesNAN 9 11 10 11 11 0.894
AngersANG 12 14 13 15 13 1.140
GuingampGUI 16 18 18 19 16 1.342
DijonDIJ 18 16 20 18 18 1.414
ToulouseTOU 17 17 15 17 14 1.414
ReimsREI 15 13 11 12 12 1.517
LilleLOSC 7 9 6 8 10 1.581
AmiensAMI 20 19 17 16 20 1.817
St EtienneSTE 6 5 8 3 5 1.817
CaenCAN 19 15 16 20 19 2.168
MontpellierMON 5 3 7 6 9 2.236
BordeauxBOR 11 8 4 7 6 2.588
NimesNIM 14 7 12 14 15 3.209
RennesREN 4 12 5 5 7 3.209
MarseilleMRS 3 4 14 4 4 4.604
StrasbourgSTRA 10 6 3 10 17 5.263
MonacoMON 13 20 19 13 3 6.768