Ligue 1
Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Marseille
Paris SG
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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Half-time score: 1–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
24 | 21 | 3 | 0 | +50 | 66 |
| 2 |
Monaco
|
25 | 12 | 9 | 4 | +8 | 45 |
| 3 |
Nice
|
25 | 11 | 6 | 8 | +9 | 39 |
| 4 |
St Etienne
|
25 | 12 | 3 | 10 | +2 | 39 |
| 5 |
Angers
|
25 | 10 | 7 | 8 | +2 | 37 |
| 6 |
Lyon
|
25 | 10 | 6 | 9 | +7 | 36 |
| 7 |
Nantes
|
25 | 9 | 9 | 7 | +1 | 36 |
| 8 |
Caen
|
25 | 11 | 3 | 11 | -5 | 36 |
| 9 |
Rennes
|
25 | 8 | 11 | 6 | +2 | 35 |
| 10 |
Marseille
|
24 | 8 | 10 | 6 | +10 | 34 |
| 11 |
Bordeaux
|
25 | 8 | 9 | 8 | -5 | 33 |
| 12 |
Lorient
|
25 | 7 | 10 | 8 | -2 | 31 |
| 13 |
Guingamp
|
25 | 8 | 7 | 10 | -4 | 31 |
| 14 |
Bastia
|
25 | 9 | 4 | 12 | -5 | 31 |
| 15 |
Lille
|
25 | 6 | 12 | 7 | +0 | 30 |
| 16 |
Reims
|
25 | 7 | 8 | 10 | -6 | 29 |
| 17 |
Gazelec FC Ajaccio
|
25 | 6 | 9 | 10 | -9 | 27 |
| 18 |
Montpellier
|
25 | 7 | 5 | 13 | -3 | 26 |
| 19 |
Toulouse
|
25 | 4 | 9 | 12 | -17 | 21 |
| 20 |
Troyes
|
25 | 1 | 8 | 16 | -35 | 11 |
Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.
K. Trapp
G
A. Rabiot
M
Green columns are the outcomes that came in.
Montpellier
Marseille
Marseille
Lille
Lyon
Marseille
Caen
Marseille
Marseille
Guingamp
Ruddy Buquet · 80 kamper i vår database
🟥 Red cards: 0,29 per match
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.