Updated Tuesday May. 10

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
PSGPSG80 pts
1.00 - 84.0 >99%
2
MonacoMON65 pts
3.00 - 69.5 <1%
3
LyonLYON55 pts
4.00 - 62.5 <1%
4
MarseilleMRS68 pts
4.00 - 67.0 <1%
5
Stade RennaisREN62 pts
4.33 - 66.0 <1%
6
StrasbourgSTRA60 pts
5.67 - 65.5 <1%
7
LilleLOSC51 pts
7.00 - 57.5 <1%
8
NiceNICE60 pts
8.00 - 59.5 <1%
9
LensRCL58 pts
8.00 - 60.0 <1%
10
NantesNAN51 pts
10.67 - 53.5 <1%
11
ReimsREI43 pts
11.33 - 47.5 <1%
12
BrestBRS48 pts
12.00 - 47.5 <1%
13
MontpellierMON43 pts
13.33 - 42.0 <1%
14
AngersANG38 pts
14.00 - 40.5 <1%
15
TroyesTRY37 pts
14.33 - 42.5 <1%
16
St EtienneSTE31 pts
16.67 ↑ 1 34.0 <1%
17
LorientLOR34 pts
17.00 ↓ 1 36.5 <1%
18
Clermont FootCLER36 pts
17.33 - 37.5 <1%
19
BordeauxBOR27 pts
19.00 - 29.5 <1%
20
MetzMTZ28 pts
19.33 - 29.0 <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 2 4 3 3.00
LyonLYON 5 5 2 4.00
MarseilleMRS 6 2 4 4.00
Stade RennaisREN 4 3 6 4.33
StrasbourgSTRA 3 6 8 5.67
LilleLOSC 7 9 5 7.00
NiceNICE 9 8 7 8.00
LensRCL 8 7 9 8.00
NantesNAN 10 12 10 10.67
ReimsREI 11 11 12 11.33
BrestBRS 13 10 13 12.00
MontpellierMON 15 14 11 13.33
AngersANG 14 13 15 14.00
TroyesTRY 12 15 16 14.33
St EtienneSTE 18 18 14 16.67
LorientLOR 17 17 17 17.00
Clermont FootCLER 16 16 20 17.33
BordeauxBOR 19 20 18 19.00
MetzMTZ 20 19 19 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
LorientLOR 17 17 17 0.000
ReimsREI 11 11 12 0.577
MetzMTZ 20 19 19 0.577
BordeauxBOR 19 20 18 1.000
MonacoMON 2 4 3 1.000
NiceNICE 9 8 7 1.000
LensRCL 8 7 9 1.000
AngersANG 14 13 15 1.000
NantesNAN 10 12 10 1.155
Stade RennaisREN 4 3 6 1.528
BrestBRS 13 10 13 1.732
LyonLYON 5 5 2 1.732
LilleLOSC 7 9 5 2.000
MarseilleMRS 6 2 4 2.000
MontpellierMON 15 14 11 2.082
TroyesTRY 12 15 16 2.082
St EtienneSTE 18 18 14 2.309
Clermont FootCLER 16 16 20 2.309
StrasbourgSTRA 3 6 8 2.517