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
Nice
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: 2–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Lille
|
25 | 16 | 7 | 2 | +27 | 55 |
| 2 |
Paris SG
|
25 | 17 | 3 | 5 | +42 | 54 |
| 3 |
Lyon
|
25 | 15 | 7 | 3 | +29 | 52 |
| 4 |
Monaco
|
25 | 15 | 4 | 6 | +15 | 49 |
| 5 |
Rennes
|
24 | 10 | 8 | 6 | +5 | 38 |
| 6 |
Lens
|
25 | 10 | 7 | 8 | +1 | 37 |
| 7 |
Metz
|
25 | 9 | 8 | 8 | +5 | 35 |
| 8 |
Montpellier
|
25 | 10 | 5 | 10 | -4 | 35 |
| 9 |
Marseille
|
23 | 9 | 7 | 7 | +3 | 34 |
| 10 |
Angers
|
25 | 10 | 4 | 11 | -10 | 34 |
| 11 |
Bordeaux
|
25 | 9 | 6 | 10 | -2 | 33 |
| 12 |
Brest
|
25 | 9 | 4 | 12 | -7 | 31 |
| 13 |
Reims
|
25 | 7 | 8 | 10 | -2 | 29 |
| 14 |
Nice
|
24 | 8 | 5 | 11 | -5 | 29 |
| 15 |
St Etienne
|
25 | 7 | 8 | 10 | -11 | 29 |
| 16 |
Strasbourg
|
25 | 8 | 4 | 13 | -6 | 28 |
| 17 |
Lorient
|
24 | 6 | 5 | 13 | -15 | 23 |
| 18 |
Nantes
|
25 | 4 | 10 | 11 | -15 | 22 |
| 19 |
Nimes
|
24 | 5 | 3 | 16 | -29 | 18 |
| 20 |
Dijon
|
25 | 2 | 9 | 14 | -21 | 15 |
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. Ćaleta-Car
D
B. Kamara
M
S. Khaoui
M
P. Gueye
M
Luis Henrique
M
Coach: N. Larguet
W. Benítez
G
H. Kamara
D
A. Pelmard
D
P. Lees Melou
M
A. Trouillet
M
H. Boudaoui
M
Rony Lopes
M
A. Claude Maurice
M
A. Gouiri
F
Coach: A. Ursea
Green columns are the outcomes that came in.
Bordeaux
Marseille
Marseille
Paris SG
Lens
Marseille
Monaco
Marseille
Marseille
Lens
M Lesage · 143 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.