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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Marseille
Lens
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
|
25 | 20 | 5 | 0 | +46 | +42.8 | 65 |
| 2 |
Marseille
|
24 | 15 | 4 | 5 | +23 | +13.8 | 49 |
| 3 |
Nice
|
24 | 13 | 7 | 4 | +21 | +15.5 | 46 |
| 4 |
Monaco
|
25 | 13 | 5 | 7 | +17 | +29.4 | 44 |
| 5 |
Lille
|
25 | 12 | 8 | 5 | +13 | +7.3 | 44 |
| 6 |
Lyon
|
24 | 11 | 6 | 7 | +13 | +5.4 | 39 |
| 7 |
Strasbourg
|
24 | 10 | 7 | 7 | +6 | -6.2 | 37 |
| 8 |
Toulouse
|
25 | 9 | 7 | 9 | +5 | +9.8 | 34 |
| 9 |
Lens
|
24 | 9 | 6 | 9 | +0 | +4.8 | 33 |
| 10 |
Brest
|
24 | 10 | 3 | 11 | -4 | -9.0 | 33 |
| 11 |
Rennes
|
25 | 9 | 2 | 14 | -1 | +0.5 | 29 |
| 12 |
Auxerre
|
24 | 7 | 7 | 10 | -4 | -10.1 | 28 |
| 13 |
Angers
|
24 | 7 | 6 | 11 | -12 | -9.5 | 27 |
| 14 |
Nantes
|
24 | 5 | 9 | 10 | -14 | -10.4 | 24 |
| 15 |
Reims
|
24 | 5 | 7 | 12 | -12 | -16.6 | 22 |
| 16 |
Le Havre
|
24 | 6 | 2 | 16 | -27 | -17.2 | 20 |
| 17 |
St Etienne
|
24 | 5 | 4 | 15 | -32 | -30.5 | 19 |
| 18 |
Montpellier
|
25 | 4 | 3 | 18 | -38 | -19.9 | 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.
G. Rulli
G
V. Rongier
D
L. Balerdi
D
G. Kondogbia
D
A. Dedić
M
P. Højbjerg
M
Q. Merlin
M
B. Nadir
F
A. Rabiot
F
A. Gouiri
F
Coach: R. De Zerbi
M. Ryan
G
R. Aguilar
D
J. Gradit
D
J. Bah
D
F. Sotoca
M
N. Mendy
M
N. El Aynaoui
M
A. Diouf
M
Coach: W. Still
Green columns are the outcomes that came in.
Marseille
Nantes
Auxerre
Marseille
Marseille
St Etienne
Angers
Marseille
Marseille
Lyon
T Léonard · 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.