Updated Monday Sep. 20

2021 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
PSGPSG18 pts
1.00 - 91.0 86%
2
MonacoMON5 pts
3.00 - 61.5 3%
3
LyonLYON8 pts
4.00 ↑ 1 65.0 3%
4
MarseilleMRS13 pts
4.00 ↓ 1 62.5 3%
5
NiceNICE10 pts
6.67 - 55.5 <1%
6
LensRCL12 pts
7.00 - 51.5 <1%
7
LilleLOSC5 pts
8.00 - 60.5 1%
8
MontpellierMON8 pts
9.67 ↑ 2 50.0 <1%
9
Stade RennaisREN5 pts
9.67 ↓ 1 52.5 <1%
10
AngersANG11 pts
11.33 ↓ 1 48.5 <1%
11
StrasbourgSTRA7 pts
11.67 ↑ 1 46.5 <1%
12
ReimsREI7 pts
12.00 ↓ 1 44.0 <1%
13
LorientLOR9 pts
12.33 - 44.5 <1%
14
NantesNAN7 pts
13.00 ↑ 2 46.5 <1%
15
Clermont FootCLER9 pts
14.00 - 45.0 <1%
16
BrestBRS4 pts
14.33 ↑ 1 43.5 <1%
17
St EtienneSTE3 pts
15.33 ↓ 3 43.0 <1%
18
BordeauxBOR5 pts
15.67 - 39.5 <1%
19
TroyesTRY5 pts
18.33 ↑ 1 41.0 <1%
20
MetzMTZ3 pts
19.00 ↓ 1 36.5 <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 three 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 MY ECI AVERAGEAVG
PSGPSG 1 1 1 1.00
MonacoMON 2 3 4 3.00
LyonLYON 3 7 2 4.00
MarseilleMRS 5 2 5 4.00
NiceNICE 6 6 8 6.67
LensRCL 8 4 9 7.00
LilleLOSC 4 17 3 8.00
MontpellierMON 12 11 6 9.67
Stade RennaisREN 7 15 7 9.67
AngersANG 13 10 11 11.33
StrasbourgSTRA 9 12 14 11.67
ReimsREI 17 9 10 12.00
LorientLOR 16 5 16 12.33
NantesNAN 10 16 13 13.00
Clermont FootCLER 14 8 20 14.00
BrestBRS 11 14 18 14.33
St EtienneSTE 15 19 12 15.33
BordeauxBOR 19 13 15 15.67
TroyesTRY 18 18 19 18.33
MetzMTZ 20 20 17 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
TroyesTRY 18 18 19 0.577
MonacoMON 2 3 4 1.000
NiceNICE 6 6 8 1.155
AngersANG 13 10 11 1.528
MetzMTZ 20 20 17 1.732
MarseilleMRS 5 2 5 1.732
StrasbourgSTRA 9 12 14 2.517
LyonLYON 3 7 2 2.646
LensRCL 8 4 9 2.646
NantesNAN 10 16 13 3.000
BordeauxBOR 19 13 15 3.055
MontpellierMON 12 11 6 3.215
BrestBRS 11 14 18 3.512
St EtienneSTE 15 19 12 3.512
ReimsREI 17 9 10 4.359
Stade RennaisREN 7 15 7 4.619
Clermont FootCLER 14 8 20 6.000
LorientLOR 16 5 16 6.351
LilleLOSC 4 17 3 7.810