Updated Monday Aug. 8

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
PSGPSG3 pts
1.00 - 89.0 68%
2
MonacoMON3 pts
2.67 - 69.0 9%
3
LyonLYON3 pts
4.67 ↑ 1 68.0 7%
4
Stade RennaisREN0 pts
4.67 ↓ 1 58.0 2%
5
StrasbourgSTRA0 pts
6.00 - 53.0 <1%
6
LilleLOSC3 pts
6.67 ↑ 1 63.0 4%
7
LensRCL3 pts
7.33 ↓ 1 56.0 1%
8
NiceNICE1 pts
8.00 - 55.0 1%
9
MarseilleMRS3 pts
9.00 ↑ 2 64.0 4%
10
NantesNAN1 pts
9.00 ↓ 1 49.0 <1%
11
ReimsREI0 pts
9.33 ↓ 1 46.0 <1%
12
AngersANG1 pts
13.33 ↑ 1 42.0 <1%
13
ToulouseTOU1 pts
13.67 ↑ 1 43.0 <1%
14
BrestBRS0 pts
14.00 ↓ 2 41.0 <1%
15
LorientLOR3 pts
14.33 ↑ 3 43.0 <1%
16
MontpellierMON3 pts
15.33 ↓ 1 46.0 <1%
17
TroyesTRY0 pts
17.00 ↓ 1 40.0 <1%
18
AC AjaccioAJC0 pts
17.67 ↑ 1 40.0 <1%
19
AuxerreAUX0 pts
18.00 ↑ 1 41.0 <1%
20
Clermont FootCLER0 pts
18.33 ↓ 3 37.0 <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 3 3 2.67
LyonLYON 3 9 2 4.67
Stade RennaisREN 4 4 6 4.67
StrasbourgSTRA 7 2 9 6.00
LilleLOSC 6 10 4 6.67
LensRCL 8 6 8 7.33
NiceNICE 9 8 7 8.00
MarseilleMRS 5 17 5 9.00
NantesNAN 10 7 10 9.00
ReimsREI 11 5 12 9.33
AngersANG 12 13 15 13.33
ToulouseTOU 16 11 14 13.67
BrestBRS 15 14 13 14.00
LorientLOR 14 12 17 14.33
MontpellierMON 17 18 11 15.33
TroyesTRY 13 20 18 17.00
AC AjaccioAJC 18 16 19 17.67
AuxerreAUX 19 19 16 18.00
Clermont FootCLER 20 15 20 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
MonacoMON 2 3 3 0.577
BrestBRS 15 14 13 1.000
NiceNICE 9 8 7 1.000
LensRCL 8 6 8 1.155
Stade RennaisREN 4 4 6 1.155
AC AjaccioAJC 18 16 19 1.528
AngersANG 12 13 15 1.528
AuxerreAUX 19 19 16 1.732
NantesNAN 10 7 10 1.732
LorientLOR 14 12 17 2.517
ToulouseTOU 16 11 14 2.517
Clermont FootCLER 20 15 20 2.887
LilleLOSC 6 10 4 3.055
TroyesTRY 13 20 18 3.606
StrasbourgSTRA 7 2 9 3.606
MontpellierMON 17 18 11 3.786
LyonLYON 3 9 2 3.786
ReimsREI 11 5 12 3.786
MarseilleMRS 5 17 5 6.928