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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Angers
Lille
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: 0–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
31 | 24 | 6 | 1 | +53 | +54.6 | 78 |
| 2 |
Monaco
|
31 | 16 | 7 | 8 | +22 | +38.5 | 55 |
| 3 |
Marseille
|
30 | 17 | 4 | 9 | +20 | +14.0 | 55 |
| 4 |
Lyon
|
31 | 16 | 6 | 9 | +20 | +11.5 | 54 |
| 5 |
Nice
|
31 | 15 | 9 | 7 | +20 | +18.1 | 54 |
| 6 |
Strasbourg
|
31 | 15 | 9 | 7 | +13 | -6.7 | 54 |
| 7 |
Lille
|
30 | 15 | 8 | 7 | +15 | +9.5 | 53 |
| 8 |
Lens
|
30 | 13 | 6 | 11 | +2 | +7.8 | 45 |
| 9 |
Brest
|
30 | 13 | 5 | 12 | -1 | -9.0 | 44 |
| 10 |
Rennes
|
31 | 12 | 2 | 17 | +2 | +4.8 | 38 |
| 11 |
Auxerre
|
30 | 10 | 8 | 12 | -4 | -13.9 | 38 |
| 12 |
Toulouse
|
30 | 9 | 7 | 14 | -1 | +11.8 | 34 |
| 13 |
Reims
|
30 | 8 | 8 | 14 | -10 | -20.1 | 32 |
| 14 |
Nantes
|
30 | 7 | 10 | 13 | -15 | -18.9 | 31 |
| 15 |
Angers
|
30 | 8 | 6 | 16 | -19 | -18.3 | 30 |
| 16 |
Le Havre
|
31 | 8 | 4 | 19 | -31 | -22.5 | 28 |
| 17 |
St Etienne
|
31 | 7 | 6 | 18 | -37 | -34.6 | 27 |
| 18 |
Montpellier
|
30 | 4 | 3 | 23 | -49 | -26.6 | 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.
Y. Fofana
G
C. Arcus
D
J. Lefort
D
Y. Belkhdim
M
H. Abdelli
M
J. Allevinah
M
E. Lepaul
F
Coach: A. Dujeux
L. Chevalier
G
T. Meunier
D
B. Diakité
D
Alexsandro Ribeiro
D
H. Haraldsson
M
B. André
M
M. Fernandez-Pardo
J. David
F
C. Akpom
F
Coach: B. Génésio
Green columns are the outcomes that came in.
Nice
Angers
Angers
Montpellier
Paris SG
Angers
Angers
Rennes
Angers
Monaco
H Ben El Hadj · 128 kamper i vår database
🟥 Red cards: 0,15 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.