Updated Tuesday Nov. 30

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
PSGPSG40 pts
1.00 - 91.5 96%
2
LyonLYON22 pts
3.00 ↑ 1 63.0 <1%
3
MonacoMON20 pts
3.33 ↓ 1 62.0 2%
4
Stade RennaisREN28 pts
4.33 ↑ 1 62.5 <1%
5
MarseilleMRS26 pts
5.33 ↓ 1 61.0 <1%
6
LilleLOSC18 pts
5.67 - 60.0 <1%
7
NiceNICE26 pts
8.00 - 57.0 <1%
8
LensRCL25 pts
8.00 - 53.0 <1%
9
StrasbourgSTRA20 pts
9.00 ↑ 2 51.5 <1%
10
AngersANG22 pts
9.67 ↓ 1 50.0 <1%
11
MontpellierMON19 pts
10.67 ↓ 1 49.5 <1%
12
BrestBRS18 pts
12.33 ↑ 2 46.5 <1%
13
ReimsREI16 pts
12.67 ↓ 1 42.5 <1%
14
NantesNAN19 pts
13.00 ↓ 1 49.0 <1%
15
St EtienneSTE12 pts
16.33 - 39.0 <1%
16
BordeauxBOR13 pts
16.67 - 37.5 <1%
17
LorientLOR15 pts
17.00 - 38.5 <1%
18
Clermont FootCLER13 pts
17.33 ↑ 1 37.5 <1%
19
MetzMTZ12 pts
18.33 ↑ 1 36.0 <1%
20
TroyesTRY13 pts
18.33 ↓ 2 38.5 <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
LyonLYON 5 2 2 3.00
MonacoMON 2 4 4 3.33
Stade RennaisREN 4 3 6 4.33
MarseilleMRS 6 5 5 5.33
LilleLOSC 3 11 3 5.67
NiceNICE 7 9 8 8.00
LensRCL 9 6 9 8.00
StrasbourgSTRA 8 7 12 9.00
AngersANG 11 8 10 9.67
MontpellierMON 13 12 7 10.67
BrestBRS 12 10 15 12.33
ReimsREI 14 13 11 12.67
NantesNAN 10 15 14 13.00
St EtienneSTE 16 20 13 16.33
BordeauxBOR 18 16 16 16.67
LorientLOR 19 14 18 17.00
Clermont FootCLER 15 17 20 17.33
MetzMTZ 20 18 17 18.33
TroyesTRY 17 19 19 18.33

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
MarseilleMRS 6 5 5 0.577
NiceNICE 7 9 8 1.000
BordeauxBOR 18 16 16 1.155
TroyesTRY 17 19 19 1.155
MonacoMON 2 4 4 1.155
ReimsREI 14 13 11 1.528
Stade RennaisREN 4 3 6 1.528
AngersANG 11 8 10 1.528
MetzMTZ 20 18 17 1.528
LensRCL 9 6 9 1.732
LyonLYON 5 2 2 1.732
Clermont FootCLER 15 17 20 2.517
BrestBRS 12 10 15 2.517
NantesNAN 10 15 14 2.646
StrasbourgSTRA 8 7 12 2.646
LorientLOR 19 14 18 2.646
MontpellierMON 13 12 7 3.215
St EtienneSTE 16 20 13 3.512
LilleLOSC 3 11 3 4.619