Updated Monday Jun. 5
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 |
PSGPSG85 pts
|
1.00 | - | 85.0 | >99% |
| 2 |
LensRCL84 pts
|
3.33 | ↑ 2 | 84.0 | <1% |
| 3 |
LyonLYON62 pts
|
4.00 | - | 62.0 | <1% |
| 4 |
MarseilleMRS73 pts
|
4.00 | ↓ 2 | 73.0 | <1% |
| 5 |
LilleLOSC67 pts
|
4.33 | - | 67.0 | <1% |
| 6 |
Stade RennaisREN68 pts
|
4.67 | - | 68.0 | <1% |
| 7 |
MonacoMON65 pts
|
7.33 | - | 65.0 | <1% |
| 8 |
NiceNICE58 pts
|
8.00 | - | 58.0 | <1% |
| 9 |
ReimsREI51 pts
|
10.00 | - | 51.0 | <1% |
| 10 |
ToulouseTOU48 pts
|
10.67 | - | 48.0 | <1% |
| 11 |
StrasbourgSTRA40 pts
|
11.00 | - | 40.0 | <1% |
| 12 |
Clermont FootCLER59 pts
|
11.33 | ↑ 2 | 59.0 | <1% |
| 13 |
MontpellierMON50 pts
|
12.33 | ↓ 1 | 50.0 | <1% |
| 14 |
LorientLOR55 pts
|
14.00 | ↓ 1 | 55.0 | <1% |
| 15 |
BrestBRS44 pts
|
14.67 | ↑ 1 | 44.0 | <1% |
| 16 |
NantesNAN36 pts
|
15.33 | ↓ 1 | 36.0 | <1% |
| 17 |
AuxerreAUX35 pts
|
17.00 | - | 35.0 | <1% |
| 18 |
TroyesTRY24 pts
|
18.67 | ↑ 2 | 24.0 | <1% |
| 19 |
AngersANG18 pts
|
19.00 | - | 18.0 | <1% |
| 20 |
AC AjaccioAJC26 pts
|
19.33 | ↓ 2 | 26.0 | <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 |
| LensRCL | 6 | 2 | 2 | 3.33 |
| LyonLYON | 3 | 5 | 4 | 4.00 |
| MarseilleMRS | 5 | 4 | 3 | 4.00 |
| LilleLOSC | 2 | 6 | 5 | 4.33 |
| Stade RennaisREN | 4 | 3 | 7 | 4.67 |
| MonacoMON | 9 | 7 | 6 | 7.33 |
| NiceNICE | 7 | 9 | 8 | 8.00 |
| ReimsREI | 10 | 11 | 9 | 10.00 |
| ToulouseTOU | 12 | 8 | 12 | 10.67 |
| StrasbourgSTRA | 8 | 15 | 10 | 11.00 |
| Clermont FootCLER | 11 | 10 | 13 | 11.33 |
| MontpellierMON | 13 | 13 | 11 | 12.33 |
| LorientLOR | 15 | 12 | 15 | 14.00 |
| BrestBRS | 14 | 14 | 16 | 14.67 |
| NantesNAN | 16 | 16 | 14 | 15.33 |
| AuxerreAUX | 17 | 17 | 17 | 17.00 |
| TroyesTRY | 20 | 18 | 18 | 18.67 |
| AngersANG | 18 | 20 | 19 | 19.00 |
| AC AjaccioAJC | 19 | 19 | 20 | 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.
| SITES PULLED FROM | ||||
|---|---|---|---|---|
| TEAM | 538 | MY | ECI | STAN DEVSTDEV |
| PSGPSG | 1 | 1 | 1 | 0.000 |
| AuxerreAUX | 17 | 17 | 17 | 0.000 |
| AC AjaccioAJC | 19 | 19 | 20 | 0.577 |
| MarseilleMRS | 5 | 4 | 3 | 1.000 |
| AngersANG | 18 | 20 | 19 | 1.000 |
| NiceNICE | 7 | 9 | 8 | 1.000 |
| ReimsREI | 10 | 11 | 9 | 1.000 |
| LyonLYON | 3 | 5 | 4 | 1.000 |
| TroyesTRY | 20 | 18 | 18 | 1.155 |
| NantesNAN | 16 | 16 | 14 | 1.155 |
| BrestBRS | 14 | 14 | 16 | 1.155 |
| MontpellierMON | 13 | 13 | 11 | 1.155 |
| Clermont FootCLER | 11 | 10 | 13 | 1.528 |
| MonacoMON | 9 | 7 | 6 | 1.528 |
| LorientLOR | 15 | 12 | 15 | 1.732 |
| Stade RennaisREN | 4 | 3 | 7 | 2.082 |
| LilleLOSC | 2 | 6 | 5 | 2.082 |
| ToulouseTOU | 12 | 8 | 12 | 2.309 |
| LensRCL | 6 | 2 | 2 | 2.309 |
| StrasbourgSTRA | 8 | 15 | 10 | 3.606 |
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