Predicted Ligue 1 table 2026/27: five AI season forecasts, side by side
Before the 2026/27 season, five frontier AI models — GPT-5.6, Claude Opus 4.8, Grok 4.5, Kimi K3 and GLM-5.2 — each predicted the complete final Ligue 1 table, independently. 5 of 5 name Paris Saint Germain as champion; every model's Champions League and relegation calls are below, side by side, with the full predicted tables. Published 3 August 2026 and frozen since — graded here after the final matchday.
Published 3 August 2026, before matchday 1 — this forecast is frozen. It will not be edited; at the end of the season it is graded, right here.
Champion, Champions League places, relegation — every model's call
Each call is derived from that model's full predicted table: rank 1 is the champion pick, ranks 1–4 are the Champions League places, the bottom ranks are relegation. The table is the single source of truth — the calls cannot contradict it.
| Model | Champion | Champions League (top 4) | Relegation | Play-off place (16th, not graded) |
|---|---|---|---|---|
| ScoreGPTconsensus of the five | Paris Saint-Germain | Paris Saint-Germain · Marseille · Monaco · Lille | Estac Troyes · Le Mans | Angers |
| GPT-5.6 | Paris Saint Germain | Paris Saint Germain · Monaco · Lens · Lille | Estac Troyes · Le Mans | Angers |
| Claude Opus 4.8 | Paris Saint Germain | Paris Saint Germain · Lens · Lille · Lyon | Estac Troyes · Le Mans | Auxerre |
| Grok 4.5 | Paris Saint Germain | Paris Saint Germain · Lens · Lille · Monaco | Estac Troyes · Le Mans | Le Havre |
| Kimi K3 | Paris Saint Germain | Paris Saint Germain · Marseille · Monaco · Lille | Angers · Le Mans | Le Havre |
| GLM-5.2 | Paris Saint Germain | Paris Saint Germain · Marseille · Monaco · Lille | Estac Troyes · Le Mans | Paris FC |
ScoreGPT is not a sixth independent model — it is a consensus synthesized from the five models' tables after they answered.
What exactly is forecast — the frozen definitions
These definitions are printed so the forecast stays gradable: what counts was fixed on publication day, not decided after the fact.
- Champion: 1st place in the final table.
- Champions League places: positions 1–4 of the final table. A possible fifth berth via the European Performance Spots is not part of this forecast.
- Relegation: places 17 and 18, relegated directly. The 16th-place side enters the relegation play-off and is not part of this forecast's relegation definition.
The full predicted tables, model by model
ScoreGPT — champion pick: Paris Saint-Germainconsensus of the five
| # | Team | Proj. points | Proj. GD |
|---|---|---|---|
| 01 | Paris Saint-Germain | 86 | +56 |
| 02 | Marseille | 70 | +28 |
| 03 | Monaco | 68 | +25 |
| 04 | Lille | 66 | +20 |
| 05 | Lens | 64 | +18 |
| 06 | Lyon | 61 | +14 |
| 07 | Rennes | 55 | +7 |
| 08 | Strasbourg | 52 | +3 |
| 09 | Nice | 50 | +1 |
| 10 | Toulouse | 46 | -3 |
| 11 | Paris FC | 45 | -5 |
| 12 | Stade Brestois 29 | 43 | -7 |
| 13 | Lorient | 40 | -11 |
| 14 | Auxerre | 38 | -13 |
| 15 | Le Havre | 36 | -15 |
| 16 | Angers | 35 | -17 |
| 17 | Estac Troyes | 31 | -24 |
| 18 | Le Mans | 27 | -32 |
On Paris Saint-Germain: “Luis Enrique's project continues with the deepest squad and biggest budget in the league; even with expected summer turnover, they are the clear consensus favorites with projections ranging 82-90 points.” — ScoreGPT
GPT-5.6 — champion pick: Paris Saint Germain
| # | Team | Proj. points | Proj. GD |
|---|---|---|---|
| 01 | Paris Saint Germain | 82 | +56 |
| 02 | Monaco | 70 | +28 |
| 03 | Lens | 67 | +25 |
| 04 | Lille | 65 | +21 |
| 05 | Rennes | 61 | +17 |
| 06 | Lyon | 58 | +14 |
| 07 | Marseille | 56 | +13 |
| 08 | Paris FC | 53 | +7 |
| 09 | Strasbourg | 50 | +4 |
| 10 | Toulouse | 46 | 0 |
| 11 | Nice | 44 | -1 |
| 12 | Lorient | 42 | -5 |
| 13 | Le Havre | 40 | -8 |
| 14 | Stade Brestois 29 | 39 | -10 |
| 15 | Auxerre | 37 | -13 |
| 16 | Angers | 35 | -15 |
| 17 | Estac Troyes | 31 | -23 |
| 18 | Le Mans | 27 | -31 |
On Paris Saint Germain: “PSG retain the league's clearest advantage in elite talent, tactical continuity and two-quality-player depth in nearly every position. Even with major European priorities and potential late-window movement, their floor across 34 matches is far above the division.” — GPT-5.6
Claude Opus 4.8 — champion pick: Paris Saint Germain
| # | Team | Proj. points | Proj. GD |
|---|---|---|---|
| 01 | Paris Saint Germain | 90 | +58 |
| 02 | Lens | 74 | +32 |
| 03 | Lille | 68 | +24 |
| 04 | Lyon | 64 | +18 |
| 05 | Marseille | 61 | +14 |
| 06 | Rennes | 58 | +8 |
| 07 | Monaco | 55 | +5 |
| 08 | Strasbourg | 51 | +3 |
| 09 | Nice | 48 | -2 |
| 10 | Toulouse | 46 | -4 |
| 11 | Lorient | 44 | -6 |
| 12 | Stade Brestois 29 | 42 | -8 |
| 13 | Paris FC | 40 | -10 |
| 14 | Angers | 38 | -14 |
| 15 | Le Havre | 36 | -16 |
| 16 | Auxerre | 33 | -20 |
| 17 | Estac Troyes | 30 | -26 |
| 18 | Le Mans | 26 | -32 |
On Paris Saint Germain: “Five-time defending champions and reigning Champions League winners under Luis Enrique, PSG retain by far the deepest, most talented squad in France and enter the season as clear favorites despite squad tinkering.” — Claude Opus 4.8
Grok 4.5 — champion pick: Paris Saint Germain
| # | Team | Proj. points | Proj. GD |
|---|---|---|---|
| 01 | Paris Saint Germain | 89 | +48 |
| 02 | Lens | 72 | +27 |
| 03 | Lille | 67 | +18 |
| 04 | Monaco | 64 | +14 |
| 05 | Lyon | 62 | +12 |
| 06 | Marseille | 58 | +7 |
| 07 | Rennes | 55 | +4 |
| 08 | Paris FC | 52 | +1 |
| 09 | Strasbourg | 48 | -2 |
| 10 | Toulouse | 46 | -5 |
| 11 | Stade Brestois 29 | 44 | -7 |
| 12 | Auxerre | 42 | -9 |
| 13 | Nice | 40 | -12 |
| 14 | Lorient | 38 | -14 |
| 15 | Angers | 36 | -17 |
| 16 | Le Havre | 34 | -20 |
| 17 | Estac Troyes | 31 | -25 |
| 18 | Le Mans | 27 | -32 |
On Paris Saint Germain: “Luis Enrique's side enter as five-time defending champions and reigning Champions League winners with unmatched squad depth featuring Dembélé, Doué and Hakimi. Minimal disruption from summer sales like Ramos ensures another dominant domestic campaign despite European commitments.” — Grok 4.5
Kimi K3 — champion pick: Paris Saint Germain
| # | Team | Proj. points | Proj. GD |
|---|---|---|---|
| 01 | Paris Saint Germain | 84 | +52 |
| 02 | Marseille | 72 | +24 |
| 03 | Monaco | 68 | +20 |
| 04 | Lille | 64 | +16 |
| 05 | Strasbourg | 62 | +12 |
| 06 | Lyon | 60 | +10 |
| 07 | Lens | 58 | +8 |
| 08 | Nice | 56 | +6 |
| 09 | Paris FC | 52 | 0 |
| 10 | Rennes | 50 | -2 |
| 11 | Toulouse | 46 | -6 |
| 12 | Lorient | 42 | -10 |
| 13 | Stade Brestois 29 | 40 | -12 |
| 14 | Auxerre | 38 | -14 |
| 15 | Estac Troyes | 36 | -16 |
| 16 | Le Havre | 34 | -20 |
| 17 | Angers | 32 | -24 |
| 18 | Le Mans | 28 | -30 |
On Paris Saint Germain: “PSG remain a class above the rest of France with the deepest squad in the league, elite recruitment and a settled project under Luis Enrique; even with rotation for Europe they should cruise domestically.” — Kimi K3
GLM-5.2 — champion pick: Paris Saint Germain
| # | Team | Proj. points | Proj. GD |
|---|---|---|---|
| 01 | Paris Saint Germain | 86 | +65 |
| 02 | Marseille | 73 | +38 |
| 03 | Monaco | 69 | +31 |
| 04 | Lille | 63 | +22 |
| 05 | Lyon | 60 | +18 |
| 06 | Nice | 58 | +15 |
| 07 | Lens | 55 | +12 |
| 08 | Rennes | 52 | +8 |
| 09 | Stade Brestois 29 | 48 | +4 |
| 10 | Toulouse | 46 | 0 |
| 11 | Strasbourg | 43 | -3 |
| 12 | Auxerre | 41 | -8 |
| 13 | Le Havre | 38 | -13 |
| 14 | Angers | 36 | -16 |
| 15 | Lorient | 34 | -20 |
| 16 | Paris FC | 31 | -25 |
| 17 | Estac Troyes | 28 | -30 |
| 18 | Le Mans | 25 | -35 |
On Paris Saint Germain: “PSG remain the class of Ligue 1 with the deepest squad and highest budget, reinforcing key positions while coping better than rivals with European demands. Their attacking depth and tactical continuity under Luis Enrique give them the edge over 34 rounds.” — GLM-5.2
Projected points and goal difference exactly as each model returned them on publication day.
That is one line of one model's reasoning. Every club's reasoning, model by model — free to start in the ScoreGPT app.
Download the free appHow this forecast was made
On 3 August 2026, each of the five models was given the confirmed list of Ligue 1 clubs for 2026/27 and asked for the complete final table — every position, with projected points and goal difference — using its own knowledge of summer transfers, squad depth and European commitments, with live web search enabled. Each model answered independently; none saw another model's table.
The model names are frozen as they were on publication day. ScoreGPT's live match-prediction roster evolves, but a dated forecast keeps the identity of whoever made it — a retired model is never relabelled as its successor.
After the final matchday, this page grades every call above against the real Ligue 1 table — champion, the four Champions League places, and relegation, exactly as defined. Hits and misses stay side by side at this same URL.
The process is documented in the methodology and every model's history is on the accuracy leaderboard.
Frequently asked questions
Frequently asked
▸How was this Ligue 1 season forecast created?
Five frontier AI models — GPT-5.6, Claude Opus 4.8, Grok 4.5, Kimi K3 and GLM-5.2 — were each given the confirmed 2026/27 Ligue 1 club list and asked, independently and with live web search enabled, for the complete final table. The ScoreGPT row is a consensus synthesized from those five tables afterwards.
▸Will the forecast be updated during the season?
No. It was published on 3 August 2026 and is frozen — a forecast that can be quietly edited is not a forecast. At the end of the season it is graded on this page, and the misses stay visible next to the hits.
▸What exactly gets graded at the end of the season?
Three calls per model, exactly as defined on this page: the champion (1st place), the Champions League places (how many of the named four finish in the top 4, order-insensitive), and relegation. No composite score and no single accuracy number — the calls stand side by side.
▸Is the ScoreGPT row a sixth AI model?
No — it is the consensus of the five, synthesized from their tables after they answered. It is labelled that way wherever it appears, and it is graded the same way as the five.
▸Who will win the Ligue 1 in 2026/27 according to AI?
5 of the 5 AI models pick Paris Saint Germain as 2026/27 Ligue 1 champion; each model's full reasoning behind its table is in the ScoreGPT app. The pick is frozen and graded here against the real final table in May.
▸Who will be relegated from the Ligue 1 in 2026/27 according to AI?
ScoreGPT's consensus table puts Estac Troyes, Le Mans in the direct relegation places. Each model's own relegation call is in the tables above — frozen, and graded against the real final table in May.
AI season forecasts for other leagues
Predictions are probabilistic information, not betting advice. 18+, please play responsibly.