Ligue 2 prediction 2026/27: Promotion and relegation chances
10,000 simulated rests of the Ligue 2 season: how likely is first place, who ends up in which zone, where does each team finish? As of 08/11/2026 after 12 matchdays, 22 matchdays left.
Predicted table
| Pos. | Team | Pts | Exp. pts | ChampionsPos. 1 | PromotionPos. 1–2 | Play-offsPos. 3–5 | Relegation play-offPos. 16 | RelegationPos. 17–18 | Avg pos |
|---|---|---|---|---|---|---|---|---|---|
| 1 | St Etienne | 28 | 65 | 53% | 76% | 21% | – | – | 1.9 |
| 2 | Nancy | 25 | 59 | 15% | 38% | 46% | <1% | <1% | 3.5 |
| 3 | Montpellier | 24 | 60 | 20% | 47% | 42% | <1% | – | 3.1 |
| 4 | Reims | 21 | 55 | 6% | 19% | 46% | <1% | <1% | 5.0 |
| 5 | Pau | 20 | 52 | 2% | 9% | 38% | <1% | <1% | 6.3 |
| 6 | Dijon | 18 | 49 | 1% | 4% | 26% | 2% | 1% | 7.7 |
| 7 | Metz | 17 | 47 | 0% | 2% | 18% | 3% | 3% | 8.9 |
| 8 | Red Star | 17 | 46 | <1% | 1% | 13% | 3% | 3% | 9.7 |
| 9 | Annecy | 16 | 47 | 1% | 2% | 19% | 2% | 3% | 8.9 |
| 10 | Dunkerque | 15 | 44 | <1% | 1% | 9% | 5% | 6% | 10.5 |
| 11 | Boulogne | 13 | 43 | <1% | <1% | 7% | 6% | 7% | 11.0 |
| 12 | Rodez | 13 | 41 | <1% | <1% | 4% | 9% | 15% | 12.4 |
| 13 | Nantes | 12 | 40 | <1% | <1% | 3% | 10% | 17% | 12.7 |
| 14 | Guingamp | 11 | 41 | <1% | <1% | 5% | 8% | 14% | 12.0 |
| 15 | Clermont | 11 | 38 | <1% | <1% | 2% | 12% | 25% | 13.7 |
| 16 | Sochaux | 11 | 37 | <1% | <1% | 1% | 13% | 31% | 14.2 |
| 17 | Grenoble | 11 | 38 | <1% | <1% | 1% | 13% | 30% | 14.1 |
| 18 | Laval | 9 | 35 | – | – | <1% | 13% | 45% | 15.3 |
Pts = current points, Exp. pts = average at the end, Avg pos = expected final position. “–” means: did not occur in any simulation.
Work it out yourself: Ligue 2 league table calculatorLigue 2 tips
Who will win the Ligue-2 title in 2026/27?
St Etienne goes into the remaining 22 matchdays as favourite and finishes first in 53 per cent of runs. The closest challenger is Montpellier (20%), followed by Nancy (15%).
Who goes up?
The automatic promotion places (Places 1–2) are most often reached by St Etienne (76%), followed by Montpellier (47%) and Nancy (38%).
Who goes down?
Laval are most at risk: in 45 per cent of simulations the team finishes in a relegation place (Places 17–18). Also in danger: Sochaux (31%), Grenoble (30%), Clermont (25%). Laval are the most likely to take the detour via the Relegation play-off (Place 16) (13%).
How the prediction is made
For each of the 199 remaining matches, a Poisson model estimates the expected goals of both teams: the home side’s home strength against the visitors’ away strength from the current season. So that a few games are not overrated, all teams start from a baseline at the league average and only move away from it with each game; early in the season this baseline counts more. Points per game also make up half of the rating, because goals alone underrate narrow wins and efficiency. In each run every team’s strength also varies slightly (form, injuries, uncertainty of the estimate). Then all remaining matches are simulated and the final table is sorted by points, goal difference and goals scored. This happens 10,000 times with a fixed seed; the percentages are the shares of these runs.
- Play-off and play-out matches are not simulated; the column shows how often a team reaches the corresponding league position.
- Relegation play-offs are not simulated; the column shows the chance of finishing in the play-off place.
- Point deductions, licence withdrawals and rulings off the pitch are not modelled.
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Predictions without guarantee, not betting advice.