Updated Monday Jun. 5

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
PSGPSG85 pts
1.00 - 85.0 >99%
2
LensRCL84 pts
3.33 ↑ 2 84.0 <1%
3
LyonLYON62 pts
4.00 - 62.0 <1%
4
MarseilleMRS73 pts
4.00 ↓ 2 73.0 <1%
5
LilleLOSC67 pts
4.33 - 67.0 <1%
6
Stade RennaisREN68 pts
4.67 - 68.0 <1%
7
MonacoMON65 pts
7.33 - 65.0 <1%
8
NiceNICE58 pts
8.00 - 58.0 <1%
9
ReimsREI51 pts
10.00 - 51.0 <1%
10
ToulouseTOU48 pts
10.67 - 48.0 <1%
11
StrasbourgSTRA40 pts
11.00 - 40.0 <1%
12
Clermont FootCLER59 pts
11.33 ↑ 2 59.0 <1%
13
MontpellierMON50 pts
12.33 ↓ 1 50.0 <1%
14
LorientLOR55 pts
14.00 ↓ 1 55.0 <1%
15
BrestBRS44 pts
14.67 ↑ 1 44.0 <1%
16
NantesNAN36 pts
15.33 ↓ 1 36.0 <1%
17
AuxerreAUX35 pts
17.00 - 35.0 <1%
18
TroyesTRY24 pts
18.67 ↑ 2 24.0 <1%
19
AngersANG18 pts
19.00 - 18.0 <1%
20
AC AjaccioAJC26 pts
19.33 ↓ 2 26.0 <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
LensRCL 6 2 2 3.33
LyonLYON 3 5 4 4.00
MarseilleMRS 5 4 3 4.00
LilleLOSC 2 6 5 4.33
Stade RennaisREN 4 3 7 4.67
MonacoMON 9 7 6 7.33
NiceNICE 7 9 8 8.00
ReimsREI 10 11 9 10.00
ToulouseTOU 12 8 12 10.67
StrasbourgSTRA 8 15 10 11.00
Clermont FootCLER 11 10 13 11.33
MontpellierMON 13 13 11 12.33
LorientLOR 15 12 15 14.00
BrestBRS 14 14 16 14.67
NantesNAN 16 16 14 15.33
AuxerreAUX 17 17 17 17.00
TroyesTRY 20 18 18 18.67
AngersANG 18 20 19 19.00
AC AjaccioAJC 19 19 20 19.33

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
AuxerreAUX 17 17 17 0.000
AC AjaccioAJC 19 19 20 0.577
MarseilleMRS 5 4 3 1.000
AngersANG 18 20 19 1.000
NiceNICE 7 9 8 1.000
ReimsREI 10 11 9 1.000
LyonLYON 3 5 4 1.000
TroyesTRY 20 18 18 1.155
NantesNAN 16 16 14 1.155
BrestBRS 14 14 16 1.155
MontpellierMON 13 13 11 1.155
Clermont FootCLER 11 10 13 1.528
MonacoMON 9 7 6 1.528
LorientLOR 15 12 15 1.732
Stade RennaisREN 4 3 7 2.082
LilleLOSC 2 6 5 2.082
ToulouseTOU 12 8 12 2.309
LensRCL 6 2 2 2.309
StrasbourgSTRA 8 15 10 3.606