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
Nice
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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
16 | 11 | 3 | 2 | +21 | +15.7 | 36 |
| 2 |
Lens
|
15 | 11 | 1 | 3 | +13 | +6.6 | 34 |
| 3 |
Marseille
|
15 | 9 | 2 | 4 | +20 | +13.4 | 29 |
| 4 |
Lille
|
15 | 9 | 2 | 4 | +12 | +9.8 | 29 |
| 5 |
Lyon
|
16 | 8 | 3 | 5 | +6 | +6.4 | 27 |
| 6 |
Rennes
|
16 | 7 | 6 | 3 | +3 | -1.1 | 27 |
| 7 |
Toulouse
|
16 | 6 | 5 | 5 | +5 | +3.3 | 23 |
| 8 |
Monaco
|
15 | 7 | 2 | 6 | +0 | +3.2 | 23 |
| 9 |
Strasbourg
|
15 | 7 | 1 | 7 | +5 | +6.4 | 22 |
| 10 |
Angers
|
16 | 6 | 4 | 6 | -1 | -11.4 | 22 |
| 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
|
16 | 4 | 4 | 8 | -8 | -5.8 | 16 |
| 15 |
Le Havre
|
16 | 3 | 6 | 7 | -9 | -2.8 | 15 |
| 16 |
Auxerre
|
15 | 3 | 3 | 9 | -10 | -4.8 | 12 |
| 17 |
Nantes
|
16 | 2 | 5 | 9 | -14 | -15.6 | 11 |
| 18 |
Metz
|
16 | 3 | 2 | 11 | -20 | -13.4 | 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.
R. Risser
G
I. Ganiou
D
R. Aguilar
M
M. Sangare
M
A. Thomasson
M
M. Udol
M
F. Thauvin
F
O. Edouard
F
Coach: Pierre Sage
Y. Diouf
G
J. Clauss
D
A. Mendy
D
K. Peprah
D
M. Bard
D
H. Boudaoui
M
C. Vanhoutte
M
M. Cho
F
S. Diop
F
I. Jansson
F
Coach: Franck Haise
Green columns are the outcomes that came in.
Nantes
Lens
Angers
Lens
Lens
Strasbourg
Monaco
Lens
Lens
Lorient
Willy Delajod · 19 kamper i vår database
🟥 Red cards: 0,17 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.