Updated Wednesday Nov. 9

2022 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
PSGPSG38 pts
1.00 - 94.0 94%
2
MonacoMON27 pts
4.00 ↑ 1 69.0 <1%
3
MarseilleMRS27 pts
4.00 ↑ 3 68.0 2%
4
LyonLYON20 pts
4.33 - 63.0 1%
5
LilleLOSC23 pts
4.67 - 65.0 <1%
6
Stade RennaisREN28 pts
4.67 ↓ 4 69.0 <1%
7
LensRCL33 pts
5.33 - 71.0 1%
8
NiceNICE19 pts
8.67 - 52.0 <1%
9
LorientLOR27 pts
10.33 - 55.0 <1%
10
ReimsREI16 pts
10.67 ↑ 2 46.0 <1%
11
StrasbourgSTRA10 pts
11.00 ↓ 1 40.0 <1%
12
NantesNAN12 pts
11.67 ↓ 1 43.0 <1%
13
ToulouseTOU16 pts
12.67 - 43.0 <1%
14
Clermont FootCLER19 pts
15.00 ↑ 1 43.0 <1%
15
TroyesTRY14 pts
15.00 ↓ 1 40.0 <1%
16
AC AjaccioAJC11 pts
16.00 ↑ 3 37.0 <1%
17
BrestBRS10 pts
16.33 - 36.0 <1%
18
MontpellierMON13 pts
17.00 ↓ 2 40.0 <1%
19
AuxerreAUX13 pts
18.67 ↓ 1 36.0 <1%
20
AngersANG8 pts
19.00 - 31.0 <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 three sites we pull from ranks all 20 teams. We pull from FiveThirtyEight (538), Massey Ratings (MY) and Euro Club Index (ECI).

TEAM 538 MY ECI AVERAGEAVG
PSGPSG 1 1 1 1.00
MonacoMON 6 4 2 4.00
MarseilleMRS 2 6 4 4.00
LyonLYON 3 7 3 4.33
LilleLOSC 4 5 5 4.67
Stade RennaisREN 5 3 6 4.67
LensRCL 7 2 7 5.33
NiceNICE 8 10 8 8.67
LorientLOR 11 8 12 10.33
ReimsREI 10 11 11 10.67
StrasbourgSTRA 9 14 10 11.00
NantesNAN 13 13 9 11.67
ToulouseTOU 15 9 14 12.67
Clermont FootCLER 16 12 17 15.00
TroyesTRY 14 15 16 15.00
AC AjaccioAJC 12 16 20 16.00
BrestBRS 17 17 15 16.33
MontpellierMON 18 20 13 17.00
AuxerreAUX 20 18 18 18.67
AngersANG 19 19 19 19.00

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.

TEAM 538 MY ECI STAN DEVSTDEV
PSGPSG 1 1 1 0.000
AngersANG 19 19 19 0.000
ReimsREI 10 11 11 0.577
LilleLOSC 4 5 5 0.577
TroyesTRY 14 15 16 1.000
NiceNICE 8 10 8 1.155
BrestBRS 17 17 15 1.155
AuxerreAUX 20 18 18 1.155
Stade RennaisREN 5 3 6 1.528
MonacoMON 6 4 2 2.000
MarseilleMRS 2 6 4 2.000
LorientLOR 11 8 12 2.082
NantesNAN 13 13 9 2.309
LyonLYON 3 7 3 2.309
Clermont FootCLER 16 12 17 2.646
StrasbourgSTRA 9 14 10 2.646
LensRCL 7 2 7 2.887
ToulouseTOU 15 9 14 3.215
MontpellierMON 18 20 13 3.606
AC AjaccioAJC 12 16 20 4.000