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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Metz
Paris SG
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: 1–2
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Lens
|
15 | 11 | 1 | 3 | +13 | +6.6 | 34 |
| 2 |
Paris SG
|
15 | 10 | 3 | 2 | +20 | +14.5 | 33 |
| 3 |
Marseille
|
15 | 9 | 2 | 4 | +20 | +13.4 | 29 |
| 4 |
Lille
|
15 | 9 | 2 | 4 | +12 | +9.8 | 29 |
| 5 |
Rennes
|
16 | 7 | 6 | 3 | +3 | -1.1 | 27 |
| 6 |
Lyon
|
15 | 7 | 3 | 5 | +5 | +5.1 | 24 |
| 7 |
Monaco
|
15 | 7 | 2 | 6 | +0 | +3.2 | 23 |
| 8 |
Strasbourg
|
15 | 7 | 1 | 7 | +5 | +6.4 | 22 |
| 9 |
Angers
|
16 | 6 | 4 | 6 | -1 | -11.4 | 22 |
| 10 |
Toulouse
|
15 | 5 | 5 | 5 | +2 | +1.3 | 20 |
| 11 |
Brest
|
16 | 5 | 4 | 7 | -6 | +0.2 | 19 |
| 12 |
Nice
|
15 | 5 | 2 | 8 | -8 | -10.9 | 17 |
| 13 |
Lorient
|
15 | 4 | 5 | 6 | -9 | +0.9 | 17 |
| 14 |
Paris FC
|
15 | 4 | 4 | 7 | -5 | -3.7 | 16 |
| 15 |
Le Havre
|
15 | 3 | 6 | 6 | -8 | -1.6 | 15 |
| 16 |
Auxerre
|
15 | 3 | 3 | 9 | -10 | -4.8 | 12 |
| 17 |
Nantes
|
16 | 2 | 5 | 9 | -14 | -15.6 | 11 |
| 18 |
Metz
|
15 | 3 | 2 | 10 | -19 | -12.2 | 11 |
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.
J. Fischer
G
T. Yegbe
D
M. Colin
D
J. Deminguet
M
B. Traore
M
M. Mbaye
M
G. Hein
M
G. Tsitaishvili
M
H. Diallo
F
Coach: Stephane Le Mignan
M. Safonov
G
W. Zaire-Emery
D
I. Zabarnyi
D
W. Pacho
D
L. Hernandez
D
Q. Ndjantou
M
Vitinha
M
F. Ruiz
M
Lee Kang-In
F
G. Ramos
F
I. Mbaye
F
Coach: Enrique Luis
Green columns are the outcomes that came in.
Auxerre
Metz
Metz
Rennes
Brest
Metz
Metz
Nice
Nantes
Metz
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.