Updated Monday Mar. 20
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 RANKINGAVG |
1-WEEK MOVE |
PROJECTED POINTS |
WIN LEAGUE |
|
|---|---|---|---|---|---|
| 1 |
PSGPSG66 pts
|
1.00 | - | 89.0 | 97% |
| 2 |
MarseilleMRS59 pts
|
2.33 | - | 78.0 | 1% |
| 3 |
MonacoMON54 pts
|
4.00 | ↑ 1 | 71.0 | <1% |
| 4 |
LilleLOSC49 pts
|
4.00 | ↓ 1 | 68.0 | 2% |
| 5 |
LyonLYON41 pts
|
5.33 | ↑ 1 | 56.0 | <1% |
| 6 |
LensRCL57 pts
|
5.33 | ↓ 1 | 73.0 | <1% |
| 7 |
Stade RennaisREN50 pts
|
6.00 | - | 67.0 | <1% |
| 8 |
NiceNICE44 pts
|
8.33 | - | 60.0 | <1% |
| 9 |
ReimsREI43 pts
|
8.67 | - | 58.0 | <1% |
| 10 |
NantesNAN30 pts
|
11.33 | ↑ 1 | 44.0 | <1% |
| 11 |
StrasbourgSTRA26 pts
|
11.33 | ↑ 1 | 37.0 | <1% |
| 12 |
ToulouseTOU35 pts
|
11.67 | ↓ 2 | 47.0 | <1% |
| 13 |
LorientLOR44 pts
|
13.00 | ↑ 1 | 54.0 | <1% |
| 14 |
MontpellierMON36 pts
|
13.33 | ↓ 1 | 46.0 | <1% |
| 15 |
Clermont FootCLER34 pts
|
15.00 | - | 46.0 | <1% |
| 16 |
AuxerreAUX23 pts
|
16.00 | ↑ 1 | 34.0 | <1% |
| 17 |
BrestBRS24 pts
|
16.33 | ↓ 1 | 36.0 | <1% |
| 18 |
AC AjaccioAJC21 pts
|
18.33 | - | 30.0 | <1% |
| 19 |
TroyesTRY21 pts
|
19.00 | - | 29.0 | <1% |
| 20 |
AngersANG10 pts
|
19.67 | - | 17.0 | <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).
| SITES PULLED FROM | ||||
|---|---|---|---|---|
| TEAM | 538 | MY | ECI | AVERAGEAVG |
| PSGPSG | 1 | 1 | 1 | 1.00 |
| MarseilleMRS | 3 | 2 | 2 | 2.33 |
| MonacoMON | 5 | 4 | 3 | 4.00 |
| LilleLOSC | 2 | 6 | 4 | 4.00 |
| LyonLYON | 4 | 7 | 5 | 5.33 |
| LensRCL | 6 | 3 | 7 | 5.33 |
| Stade RennaisREN | 7 | 5 | 6 | 6.00 |
| NiceNICE | 9 | 8 | 8 | 8.33 |
| ReimsREI | 8 | 9 | 9 | 8.67 |
| NantesNAN | 13 | 11 | 10 | 11.33 |
| StrasbourgSTRA | 10 | 13 | 11 | 11.33 |
| ToulouseTOU | 11 | 10 | 14 | 11.67 |
| LorientLOR | 14 | 12 | 13 | 13.00 |
| MontpellierMON | 12 | 16 | 12 | 13.33 |
| Clermont FootCLER | 15 | 14 | 16 | 15.00 |
| AuxerreAUX | 16 | 15 | 17 | 16.00 |
| BrestBRS | 17 | 17 | 15 | 16.33 |
| AC AjaccioAJC | 18 | 18 | 19 | 18.33 |
| TroyesTRY | 20 | 19 | 18 | 19.00 |
| AngersANG | 19 | 20 | 20 | 19.67 |
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.
| SITES PULLED FROM | ||||
|---|---|---|---|---|
| TEAM | 538 | MY | ECI | STAN DEVSTDEV |
| PSGPSG | 1 | 1 | 1 | 0.000 |
| AC AjaccioAJC | 18 | 18 | 19 | 0.577 |
| AngersANG | 19 | 20 | 20 | 0.577 |
| ReimsREI | 8 | 9 | 9 | 0.577 |
| NiceNICE | 9 | 8 | 8 | 0.577 |
| MarseilleMRS | 3 | 2 | 2 | 0.577 |
| LorientLOR | 14 | 12 | 13 | 1.000 |
| Stade RennaisREN | 7 | 5 | 6 | 1.000 |
| TroyesTRY | 20 | 19 | 18 | 1.000 |
| MonacoMON | 5 | 4 | 3 | 1.000 |
| AuxerreAUX | 16 | 15 | 17 | 1.000 |
| Clermont FootCLER | 15 | 14 | 16 | 1.000 |
| BrestBRS | 17 | 17 | 15 | 1.155 |
| StrasbourgSTRA | 10 | 13 | 11 | 1.528 |
| NantesNAN | 13 | 11 | 10 | 1.528 |
| LyonLYON | 4 | 7 | 5 | 1.528 |
| LilleLOSC | 2 | 6 | 4 | 2.000 |
| ToulouseTOU | 11 | 10 | 14 | 2.082 |
| LensRCL | 6 | 3 | 7 | 2.082 |
| MontpellierMON | 12 | 16 | 12 | 2.309 |
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