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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Monaco
Auxerre
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: 0–2
| # | 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
|
30 | 16 | 6 | 8 | +15 | +15.4 | 54 |
| 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
|
30 | 7 | 8 | 15 | -22 | -15.8 | 29 |
| 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.
L. Hradecky
G
T. Kehrer
D
D. Zakaria
D
J. Teze
M
A. Bamba
M
C. Mawissa
M
M. Akliouche
F
F. Balogun
F
Coach: Sebastien Pocognoli
S. Diomande
D
G. Mensah
D
E. Owusu
M
K. Danois
M
R. Faivre
M
D. Namaso
M
F. Oppegard
M
L. Sinayoko
F
Coach: Christophe Pelissier
Green columns are the outcomes that came in.
Paris FC
Monaco
Monaco
Marseille
Lyon
Monaco
Monaco
Brest
Paris SG
Monaco
T Leonard · 142 kamper i vår database
🟥 Red cards: 0,23 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.