Who will win Ligue 1 in 2026-27?
PSG sit tenth in the table and win the title in 63% of simulated seasons. Monaco lead the table and win it in 16%. Here is why, and what 50,000 simulations say about every place in the league.
By Lucas da Silva · September 20, 2026 · 7 min read
There are two ways to read a league in September, and they do not say the same thing.
The first is the table. It is exact, it is verifiable, and it puts Paris Saint-Germain 10th on 8 points.
The second is the projection. It replays the thirty-three remaining matchdays fifty thousand times, and makes PSG champions in 63% of them.
These two readings do not contradict each other. They answer different questions: what has happened, and what is left to play.
The September table measures very little
Five matchdays is ten per cent of a season. At this point the gap between first and tenth in Ligue 1 is eight points — fewer than three wins. A league is decided over thirty-four matchdays, and the share of luck in five results is enormous.
So the model does not ask who is leading. It asks, match by match, how many goals each side is capable of scoring and conceding, then replays everything that is left.
On that ground, PSG are first, and not narrowly:
 Paris Saint Germain | 1.79 |
 Monaco | 1.42 |
 LOSC Lille | 1.18 |
 Olympique Marseille | 1.39 |
An attacking index of 1.79 means PSG score roughly 79% more than an average side in the league against an average defence. No other French club comes close.
Monaco lead, and the model only half believes it
Monaco have 13 points and sit top. The model rates them fourth-strongest and gives them 15.6%.
The gap comes from their defence. At 1.05, Monaco concede slightly more than an average Ligue 1 side. A decent attack and an average defence are enough to take thirteen points in five games. They are not usually enough to take eighty in thirty-eight.
The projection says so plainly: 62.2 points by May, against 69.6 for PSG.
The final-position heat map
This is the model's most honest output, and the one a single percentage cannot replace. Each row is a club, each column a finishing place, and the darkness of a cell gives the probability of ending there.
Where each team finishes
The probability of finishing in each position, across the 50,000 simulated seasons. A tight row is a team whose fate is nearly settled; a spread-out row, a team for whom anything is still possible.
Paris Saint Germain70187Monaco1429201396
Olympique Lyonnais5141716141186LOSC Lille5151716141186
Rennes91213141211965Olympique Marseille81011121211975
Lens710111312111075
Paris681011111110865
Strasbourg671011121211865
Nice68101212111086
Toulouse57911121211975
Brest68101212121096
Auxerre681011111211107
Lorient579111212111085
Angers SCO57101214161611
Le Mans691114161715
Le Havre571013162021
Troyes79142138The darker the cell, the likelier the position. Teams are ordered by average expected position, not by current standing.
Two things read immediately.
The top is sharp. PSG's first-place cell is the darkest on the map. Monaco's spreads from second to fifth: they finish second in 26% of runs, but the rest of their weight is scattered.
The middle is fog. From seventh to fourteenth, no cell exceeds 13%. Eight clubs share eight places with no preferred destination. That is where this league is genuinely undecided — not at the top.
The race for Europe is the real story
The title is likely; the European places are likely for nobody.
| Monaco | 60.2% |
| LOSC Lille | 41.2% |
| Olympique Lyonnais | 32.0% |
| Rennes | 23.0% |
| Olympique Marseille | 15.3% |
Five clubs between 15% and 60% for three places: that is the real battle of the French season. Marseille, fifteenth on 3 points, are the league's third-strongest side — the widest table-versus-level gap in Ligue 1 after PSG's — and still have a 38% chance of finishing in Europe.
Where each team is heading
Average expected position at each matchday. Left of the marker, what actually happened; right of it, the projection.
Olympique Marseille6.8eParis Saint Germain1.4eMonaco3.3eAt the bottom, four clubs for two places
An eighteen-club Ligue 1 only relegates the bottom. The model sees just four serious candidates:
| Club | Relegation probability | Projected points |
|---|---|---|
| Troyes | 52.5% | 30.3 |
| Le Havre | 42.2% | 31.5 |
| Angers SCO | 35.5% | 32.7 |
| Le Mans | 28.8% | 34.0 |
Troyes combine the league's second-worst defence (1.43) with one of its weakest attacks. The model has them finishing bottom in 32% of simulations — the darkest cell on the whole map after PSG's.
What would make this projection wrong
A model of this kind has only three ways of being wrong, and they are worth stating.
It reads neither line-ups nor transfers. A long injury, a January signing, a change of manager reach it only indirectly, through results, and therefore weeks late.
It learns slowly by design. That is a virtue in September — it refuses to overreact to five matches — and a flaw in February if a side really has changed level.
Finally, it gives a probability, not a prediction. PSG at 63% means they fail in more than one scenario in three. That is not an error bar: that is the result.
The same calculation runs every night on six major leagues. Read next: who will win the Premier League, who will win La Liga, who will win Serie A and who will win the Champions League.
Frequently asked questions
Who will win Ligue 1 in 2026-27?
Paris Saint-Germain win the title in 63.4% of the 50,000 simulated seasons run on 20 September 2026. Monaco follow on 15.6%, Lille on 7.0% and Lyon on 5.1%. No other club reaches 4%.
Why are PSG favourites when they are tenth?
Because five matchdays settle almost nothing. PSG have the strongest attack and the highest overall rating in the league, and thirty-three matchdays left to turn that into points. The September table measures what has happened; the projection measures what is left to play.
Can Monaco hold on to top spot until May?
The model gives them a 15.6% title chance and an average finish of 3.5th, on 62 points. Their current lead comes from a start better than their measured level: fourth-strongest side in the league, first in the table.
Which clubs are in relegation danger in Ligue 1?
Troyes go down in 52.5% of simulations, Le Havre in 42.2%, Angers in 35.5% and Le Mans in 28.8%. They are the only four clubs above 15%.
How are these probabilities calculated?
A Dixon-Coles model estimates an attacking and a defensive strength for every club from past results, with time decay. The remaining fixtures are then replayed 50,000 times, which yields the full distribution of final tables.
See the table and projections for Ligue 1 →
The figures in this piece are read from the latest published computation: they update with the model and may therefore differ from those of the publication date. That is deliberate — an article should not go on asserting what is no longer true.
