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: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
27 | 20 | 3 | 4 | +38 | +35.0 | 63 |
| 2 |
Lens
|
29 | 20 | 2 | 7 | +28 | +20.1 | 62 |
| 3 |
Lille
|
29 | 16 | 5 | 8 | +15 | +15.0 | 53 |
| 4 |
Marseille
|
30 | 16 | 4 | 10 | +18 | +14.5 | 52 |
| 5 |
Lyon
|
29 | 15 | 6 | 8 | +14 | +6.1 | 51 |
| 6 |
Rennes
|
29 | 14 | 8 | 7 | +8 | +1.0 | 50 |
| 7 |
Monaco
|
29 | 15 | 4 | 10 | +7 | +7.6 | 49 |
| 8 |
Strasbourg
|
28 | 12 | 7 | 9 | +12 | +12.5 | 43 |
| 9 |
Lorient
|
30 | 10 | 11 | 9 | -4 | -1.9 | 41 |
| 10 |
Toulouse
|
30 | 10 | 7 | 13 | -1 | -1.7 | 37 |
| 11 |
Brest
|
28 | 10 | 6 | 12 | -6 | -2.5 | 36 |
| 12 |
Paris FC
|
29 | 8 | 11 | 10 | -8 | -13.0 | 35 |
| 13 |
Angers
|
30 | 9 | 7 | 14 | -14 | -19.3 | 34 |
| 14 |
Le Havre
|
30 | 6 | 12 | 12 | -13 | -11.8 | 30 |
| 15 |
Nice
|
29 | 7 | 7 | 15 | -22 | -15.4 | 28 |
| 16 |
Auxerre
|
29 | 5 | 9 | 15 | -14 | -7.7 | 24 |
| 17 |
Nantes
|
28 | 4 | 7 | 17 | -21 | -14.3 | 19 |
| 18 |
Metz
|
29 | 3 | 6 | 20 | -37 | -24.2 | 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.
B. Ozer
G
T. Meunier
D
A. Mandi
D
R. Perraud
D
B. Andre
M
A. Bouaddi
M
N. Mukau
M
H. Haraldsson
M
F. Correia
M
M. Fernandez-Pardo
F
Coach: Bruno Genesio
Y. Diouf
G
J. Clauss
D
A. Mendy
D
J. Bah
D
K. Peprah
D
M. Bard
D
M. Cho
M
S. Diop
M
E. Wahi
F
Coach: Claude Puel
Green columns are the outcomes that came in.
Toulouse
Lille
Lille
Lens
Marseille
Lille
Aston Villa
Lille
Rennes
Lille
B Dechepy · 111 kamper i vår database
🟥 Red cards: 0,26 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.