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
Monaco
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
|
31 | 22 | 4 | 5 | +43 | +42.3 | 70 |
| 2 |
Lens
|
30 | 20 | 3 | 7 | +28 | +22.6 | 63 |
| 3 |
Lille
|
31 | 17 | 6 | 8 | +16 | +16.0 | 57 |
| 4 |
Lyon
|
31 | 17 | 6 | 8 | +16 | +5.2 | 57 |
| 5 |
Rennes
|
31 | 16 | 8 | 7 | +12 | +3.3 | 56 |
| 6 |
Marseille
|
32 | 16 | 5 | 11 | +15 | +13.3 | 53 |
| 7 |
Monaco
|
31 | 15 | 6 | 10 | +7 | +8.1 | 51 |
| 8 |
Strasbourg
|
30 | 13 | 7 | 10 | +10 | +8.4 | 46 |
| 9 |
Lorient
|
32 | 10 | 12 | 10 | -5 | -2.4 | 42 |
| 10 |
Toulouse
|
31 | 10 | 8 | 13 | -1 | -0.7 | 38 |
| 11 |
Brest
|
30 | 10 | 8 | 12 | -6 | -5.5 | 38 |
| 12 |
Paris FC
|
31 | 9 | 11 | 11 | -7 | -12.9 | 38 |
| 13 |
Angers
|
31 | 9 | 7 | 15 | -17 | -21.4 | 34 |
| 14 |
Le Havre
|
31 | 6 | 13 | 12 | -13 | -11.4 | 31 |
| 15 |
Nice
|
31 | 7 | 9 | 15 | -22 | -16.7 | 30 |
| 16 |
Auxerre
|
31 | 5 | 10 | 16 | -15 | -10.9 | 25 |
| 17 |
Nantes
|
32 | 5 | 8 | 19 | -22 | -12.1 | 23 |
| 18 |
Metz
|
31 | 3 | 7 | 21 | -39 | -25.3 | 16 |
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.
P. Sy
G
B. Sarr
D
S. Sane
D
T. Yegbe
D
G. Tsitaishvili
D
G. Hein
M
J. Deminguet
M
N. Mbala
M
G. Kvilitaia
F
Coach: Benoit Tavenot
L. Hradecky
G
D. Zakaria
D
T. Kehrer
D
C. Mawissa
D
J. Teze
M
L. Camara
M
M. Akliouche
F
A. Golovin
F
F. Balogun
F
Coach: Sebastien Pocognoli
Green columns are the outcomes that came in.
Le Havre
Metz
Metz
Paris FC
Marseille
Metz
Metz
Nantes
Rennes
Metz
R Buquet · 155 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.