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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Lens
St Etienne
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
|
28 | 23 | 5 | 0 | +54 | +48.6 | 74 |
| 2 |
Monaco
|
28 | 15 | 5 | 8 | +19 | +33.7 | 50 |
| 3 |
Marseille
|
27 | 15 | 4 | 8 | +18 | +12.3 | 49 |
| 4 |
Lyon
|
28 | 14 | 6 | 8 | +16 | +8.9 | 48 |
| 5 |
Nice
|
28 | 13 | 8 | 7 | +17 | +16.7 | 47 |
| 6 |
Lille
|
28 | 13 | 8 | 7 | +12 | +8.2 | 47 |
| 7 |
Strasbourg
|
27 | 13 | 7 | 7 | +10 | -7.0 | 46 |
| 8 |
Brest
|
28 | 13 | 4 | 11 | +1 | -8.1 | 43 |
| 9 |
Lens
|
27 | 11 | 6 | 10 | +1 | +3.4 | 39 |
| 10 |
Auxerre
|
27 | 9 | 8 | 10 | -1 | -9.3 | 35 |
| 11 |
Toulouse
|
27 | 9 | 7 | 11 | +2 | +10.5 | 34 |
| 12 |
Rennes
|
27 | 10 | 2 | 15 | +1 | +1.1 | 32 |
| 13 |
Nantes
|
28 | 7 | 9 | 12 | -14 | -15.7 | 30 |
| 14 |
Angers
|
28 | 7 | 6 | 15 | -20 | -16.8 | 27 |
| 15 |
Reims
|
27 | 6 | 8 | 13 | -12 | -16.5 | 26 |
| 16 |
Le Havre
|
27 | 7 | 3 | 17 | -28 | -15.3 | 24 |
| 17 |
St Etienne
|
27 | 6 | 5 | 16 | -35 | -33.0 | 23 |
| 18 |
Montpellier
|
27 | 4 | 3 | 20 | -41 | -21.8 | 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.
M. Ryan
G
J. Bah
D
F. Medina
D
R. Aguilar
M
A. Thomasson
M
N. El Aynaoui
M
A. Diouf
F
F. Sotoca
F
Coach: W. Still
G. Larsonneur
G
Y. Maçon
D
M. Bernauer
D
L. Pétrot
D
B. Bouchouari
M
P. Ekwah
M
F. Tardieu
M
I. Cardona
F
L. Stassin
F
Z. Davitashvili
F
Coach: E. Horneland
Green columns are the outcomes that came in.
Lille
Lens
Lens
Rennes
Marseille
Lens
Lens
Le Havre
Nantes
Lens
R Lissorgue · 97 kamper i vår database
🟥 Red cards: 0,24 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.