Updated Monday Mar. 20

2023 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
PSGPSG66 pts
1.00 - 89.0 97%
2
MarseilleMRS59 pts
2.33 - 78.0 1%
3
MonacoMON54 pts
4.00 ↑ 1 71.0 <1%
4
LilleLOSC49 pts
4.00 ↓ 1 68.0 2%
5
LyonLYON41 pts
5.33 ↑ 1 56.0 <1%
6
LensRCL57 pts
5.33 ↓ 1 73.0 <1%
7
Stade RennaisREN50 pts
6.00 - 67.0 <1%
8
NiceNICE44 pts
8.33 - 60.0 <1%
9
ReimsREI43 pts
8.67 - 58.0 <1%
10
NantesNAN30 pts
11.33 ↑ 1 44.0 <1%
11
StrasbourgSTRA26 pts
11.33 ↑ 1 37.0 <1%
12
ToulouseTOU35 pts
11.67 ↓ 2 47.0 <1%
13
LorientLOR44 pts
13.00 ↑ 1 54.0 <1%
14
MontpellierMON36 pts
13.33 ↓ 1 46.0 <1%
15
Clermont FootCLER34 pts
15.00 - 46.0 <1%
16
AuxerreAUX23 pts
16.00 ↑ 1 34.0 <1%
17
BrestBRS24 pts
16.33 ↓ 1 36.0 <1%
18
AC AjaccioAJC21 pts
18.33 - 30.0 <1%
19
TroyesTRY21 pts
19.00 - 29.0 <1%
20
AngersANG10 pts
19.67 - 17.0 <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
MarseilleMRS 3 2 2 2.33
MonacoMON 5 4 3 4.00
LilleLOSC 2 6 4 4.00
LyonLYON 4 7 5 5.33
LensRCL 6 3 7 5.33
Stade RennaisREN 7 5 6 6.00
NiceNICE 9 8 8 8.33
ReimsREI 8 9 9 8.67
NantesNAN 13 11 10 11.33
StrasbourgSTRA 10 13 11 11.33
ToulouseTOU 11 10 14 11.67
LorientLOR 14 12 13 13.00
MontpellierMON 12 16 12 13.33
Clermont FootCLER 15 14 16 15.00
AuxerreAUX 16 15 17 16.00
BrestBRS 17 17 15 16.33
AC AjaccioAJC 18 18 19 18.33
TroyesTRY 20 19 18 19.00
AngersANG 19 20 20 19.67

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
AC AjaccioAJC 18 18 19 0.577
AngersANG 19 20 20 0.577
ReimsREI 8 9 9 0.577
NiceNICE 9 8 8 0.577
MarseilleMRS 3 2 2 0.577
LorientLOR 14 12 13 1.000
Stade RennaisREN 7 5 6 1.000
TroyesTRY 20 19 18 1.000
MonacoMON 5 4 3 1.000
AuxerreAUX 16 15 17 1.000
Clermont FootCLER 15 14 16 1.000
BrestBRS 17 17 15 1.155
StrasbourgSTRA 10 13 11 1.528
NantesNAN 13 11 10 1.528
LyonLYON 4 7 5 1.528
LilleLOSC 2 6 4 2.000
ToulouseTOU 11 10 14 2.082
LensRCL 6 3 7 2.082
MontpellierMON 12 16 12 2.309