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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Lille
Reims
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: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
29 | 23 | 5 | 1 | +53 | 74 |
| 2 |
Monaco
|
29 | 13 | 12 | 4 | +10 | 51 |
| 3 |
Caen
|
29 | 13 | 4 | 12 | -6 | 43 |
| 4 |
Lyon
|
28 | 12 | 6 | 10 | +10 | 42 |
| 5 |
Nice
|
28 | 11 | 8 | 9 | +7 | 41 |
| 6 |
Rennes
|
28 | 10 | 11 | 7 | +3 | 41 |
| 7 |
St Etienne
|
28 | 12 | 5 | 11 | +1 | 41 |
| 8 |
Nantes
|
27 | 10 | 10 | 7 | +2 | 40 |
| 9 |
Angers
|
28 | 10 | 8 | 10 | +0 | 38 |
| 10 |
Lorient
|
28 | 9 | 10 | 9 | -1 | 37 |
| 11 |
Bastia
|
27 | 11 | 4 | 12 | -2 | 37 |
| 12 |
Bordeaux
|
28 | 9 | 10 | 9 | -6 | 37 |
| 13 |
Marseille
|
27 | 8 | 12 | 7 | +9 | 36 |
| 14 |
Montpellier
|
29 | 10 | 6 | 13 | +3 | 36 |
| 15 |
Lille
|
28 | 7 | 13 | 8 | -2 | 34 |
| 16 |
Guingamp
|
28 | 8 | 8 | 12 | -7 | 32 |
| 17 |
Reims
|
28 | 8 | 8 | 12 | -7 | 32 |
| 18 |
Gazelec FC Ajaccio
|
27 | 6 | 10 | 11 | -10 | 28 |
| 19 |
Toulouse
|
28 | 4 | 10 | 14 | -20 | 22 |
| 20 |
Troyes
|
28 | 2 | 8 | 18 | -37 | 14 |
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.
D. Sidibé
D
Rony Lopes
M
A. Mandi
D
H. Traoré
D
Green columns are the outcomes that came in.
Montpellier
Lille
Lille
Lyon
Paris SG
Lille
Lille
Rennes
Lille
Caen
Mikael Lesage · 76 kamper i vår database
🟥 Red cards: 0,30 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.