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
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: 0–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
17 | 13 | 4 | 0 | +31 | +30.3 | 43 |
| 2 |
Marseille
|
17 | 11 | 3 | 3 | +19 | +3.1 | 36 |
| 3 |
Monaco
|
18 | 9 | 4 | 5 | +9 | +19.0 | 31 |
| 4 |
Nice
|
17 | 8 | 6 | 3 | +12 | +9.1 | 30 |
| 5 |
Lille
|
17 | 7 | 8 | 2 | +10 | +7.5 | 29 |
| 6 |
Lyon
|
17 | 8 | 4 | 5 | +7 | +6.3 | 28 |
| 7 |
Lens
|
17 | 7 | 6 | 4 | +5 | +7.6 | 27 |
| 8 |
Toulouse
|
17 | 7 | 3 | 7 | +0 | +7.7 | 24 |
| 9 |
Strasbourg
|
17 | 6 | 5 | 6 | +1 | -5.2 | 23 |
| 10 |
Auxerre
|
17 | 6 | 4 | 7 | -2 | -9.9 | 22 |
| 11 |
Brest
|
17 | 7 | 1 | 9 | -4 | -10.0 | 22 |
| 12 |
Reims
|
17 | 5 | 5 | 7 | -2 | -6.9 | 20 |
| 13 |
Angers
|
17 | 5 | 4 | 8 | -8 | -3.4 | 19 |
| 14 |
Rennes
|
17 | 5 | 2 | 10 | -2 | +0.7 | 17 |
| 15 |
Nantes
|
17 | 3 | 7 | 7 | -7 | -8.6 | 16 |
| 16 |
St Etienne
|
17 | 5 | 1 | 11 | -21 | -17.9 | 16 |
| 17 |
Le Havre
|
17 | 4 | 0 | 13 | -23 | -14.6 | 12 |
| 18 |
Montpellier
|
18 | 3 | 3 | 12 | -25 | -14.5 | 12 |
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.
L. Chevalier
G
T. Meunier
D
B. Diakité
D
Alexsandro Ribeiro
D
B. André
M
H. Haraldsson
M
J. David
F
Coach: B. Génésio
J. Clauss
D
Y. Ndayishimiye
D
A. Abdi
D
H. Boudaoui
M
P. Rosario
M
M. Cho
M
S. Diop
M
E. Guessand
M
Coach: F. Haise
Green columns are the outcomes that came in.
Marseille
Lille
Auxerre
Lille
Lille
Nantes
Rouen
Lille
Marseille
Lille
F Letexier · 176 kamper i vår database
🟥 Red cards: 0,25 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.