Ligue 1: Predictions, Odds & Tips
Läs på svenskaModel-based predictions for Ligue 1 — PSG, Marseille, Monaco and the rest of the French top flight, analysed by the same match model that powers PlaymakerAI. Ahead of every round the model computes 1X2 probabilities, a full score matrix, expected goals and over/under lines, built from hundreds of data points per team: strength, form, playing style, squad and weather.
The predictions are held against live odds from multiple bookmakers, with positive expected value (EV+) flagged where the model’s probability beats the implied odds. Played matches are graded openly — hit or miss — and everything updates continuously until kickoff.
Upcoming matches
Lens
Lorient
Lille
Brest
Paris Saint-Germain
Monaco
Troyes
Nice
Rennes
League table2026/27
| Pos | Team | P | S | W–D–L | GF–GA | xP | xG | xGA | xGD | FT | Style |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Monaco | 13 | 5 | 4–1–0 | 8–3 | 6,9 | 5,8 | 6,9 | −1,1 | 37 % | Low block & direct |
| 2 | Lyon | 11 | 5 | 3–2–0 | 10–2 | 9,1 | 8,6 | 4,8 | +3,8 | 56 % | Possession control |
| 3 | Paris FC | 11 | 5 | 3–2–0 | 8–3 | 9,7 | 8,6 | 3,8 | +4,8 | 39 % | Balanced & physical |
| 4 | Lille | 10 | 5 | 3–1–1 | 8–4 | 7,4 | 6,9 | 7,5 | −0,6 | 35 % | Balanced & physical |
| 5 | Rennes | 10 | 5 | 3–1–1 | 8–9 | 6,0 | 8,1 | 9,5 | −1,4 | 47 % | Low block & direct |
| 6 | Paris Saint-Germain | 8 | 5 | 2–2–1 | 8–7 | 8,0 | 11,0 | 4,8 | +6,2 | 79 % | Possession & high press |
| 7 | Angers | 7 | 5 | 2–1–2 | 6–5 | 6,6 | 7,8 | 7,9 | −0,1 | 42 % | Balanced & physical |
| 8 | Strasbourg | 7 | 5 | 2–1–2 | 10–10 | 5,5 | 6,0 | 8,9 | −2,9 | 41 % | Balanced & physical |
| 9 | Le Mans | 6 | 5 | 1–3–1 | 9–9 | 6,9 | 6,2 | 8,1 | −1,9 | 40 % | Possession control |
| 10 | Lorient | 6 | 5 | 1–3–1 | 5–6 | 6,2 | 5,2 | 6,3 | −1,1 | 37 % | Counter-attacks & crosses |
| 11 | Auxerre | 6 | 5 | 2–0–3 | 7–12 | 7,1 | 6,0 | 8,4 | −2,4 | 55 % | Low block & direct |
| 12 | Brest | 5 | 5 | 1–2–2 | 7–8 | 8,7 | 9,3 | 5,2 | +4,1 | 40 % | Possession control |
| 13 | Toulouse | 5 | 5 | 1–2–2 | 7–9 | 7,2 | 9,2 | 8,2 | +1,0 | 58 % | Possession control |
| 14 | Nice | 5 | 5 | 1–2–2 | 3–6 | 4,6 | 4,1 | 7,2 | −3,1 | 61 % | Balanced & physical |
| 15 | Lens | 4 | 5 | 1–1–3 | 9–9 | 7,1 | 9,5 | 7,5 | +2,0 | 56 % | Balanced & physical |
| 16 | Marseille | 3 | 5 | 1–0–4 | 7–8 | 5,1 | 7,2 | 10,8 | −3,6 | 59 % | Possession & high press |
| 17 | Le Havre | 2 | 5 | 0–2–3 | 4–7 | 6,1 | 8,2 | 8,9 | −0,7 | 49 % | Balanced & physical |
| 18 | Troyes | 2 | 5 | 0–2–3 | 4–11 | 5,5 | 6,2 | 8,9 | −2,7 | 55 % | Possession & high press |
Latest articles
All articles
2026-09-17 · 1 min
This week's pool betting 17/9: locks and upsets
This weekend's football round offers a wide range of pool betting, with Stryktipset and Europatipset from Svenska Spel, ATG's Big 9, and several products in the PoolX network such as Survivor8 and Flextipset8EUR. The article analyzes 53 matches in total and particularly highlights matches that recur across several betting formats, including Levski Sofia–Salzburg, where the data points toward an away win for Salzburg with a 54 percent probability.
2026-09-11 · 3 min
Krona's century: this week's triples (week 37)
The columnist reports that the betting fund now stands at 1063 kronor after last week's "safe treble" gave a net profit of four kronor, which gives a total ROI of eight percent after eight tripples played. This week's new safe treble bets on home wins for Ajax against Willem II, Bodo/Glimt against Sandefjord and Hajduk Split against Slaven Belupo Koprivnica.
2026-09-10 · 1 min
This week's pool play 10/9: locks and upsets
The article presents xG-based analyses of several football matches recurring in various Swedish pool betting games (Stryktipset, Europatipset, Flextipset, etc.), where Fenerbahçe–Roma stands out the most with a clear difference between the public's tips (27%) and the statistical model's assessment (41% home win). Other matches highlighted are Como–RB Leipzig (47% home win thanks to Como's rising form), Manchester United–Sabah (67% home win, the most one-sided match) as well as Slavia Praha–Lens and Stevenage–Luton Town, where the statistics reveal interesting deviations from general expectations
Played matches
Prediction track recordMarseilleAuxerreNiceLe MansParis FCLyonAngersToulouseMonacoBrestLe MansLe HavreHow the predictions work
Every prediction comes from PlaymakerAI's match model — the same data platform professional clubs use for scouting and match analysis. The model is trained on event data from hundreds of thousands of matches and weighs over 200 factors per team: strength ratings, current form, playing style, squad player profiles, fixture congestion, travel and even matchday weather.
For each fixture the model produces a full goal distribution. From it we derive the 1X2 probabilities, the score matrix, expected goals, over/under lines and both-teams-to-score. Predictions are frozen before kickoff and never changed afterwards — once a match finishes we grade it openly, hit or miss.
Odds are collected continuously from several bookmakers. When the model's probability for an outcome exceeds what the odds imply, we flag it as value (EV+). That is the model's assessment, not a guarantee: even positive-EV bets lose often. Gamble responsibly.
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Hämta bonusLigue 1 FAQ
Where do I find Ligue 1 predictions?
Right here: every match in France's Ligue 1 has its own analysis with 1X2 probabilities, most likely scoreline, over/under and value against current odds. Pick a match from the upcoming list — predictions are refreshed before every round and graded openly afterwards.
How are the Ligue 1 predictions made?
Each match is replayed thousands of times in the model using hundreds of metrics per team — expected goals, pressing, expected threat, field tilt, form and squad. The output is a probability for every scoreline, which is then compared with bookmaker odds to find value.
What is the xP table?
xP means expected points: how many points each team should have taken given the quality of chances created and conceded. The gap between xP and the real table shows which France's Ligue 1 teams are over- and underrated right now.
Which teams play in Ligue 1 2026/27?
Ligue 1 2026/27 has 18 teams: Monaco, Lyon, Paris FC, Lille, Rennes, Paris Saint-Germain, Angers, Strasbourg, Le Mans, Lorient, Auxerre, Brest, Toulouse, Nice, Lens, Marseille, Le Havre, Troyes.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.