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
Marseille
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: 1–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
9 | 6 | 2 | 1 | +11 | +5.6 | 20 |
| 2 |
Marseille
|
8 | 6 | 0 | 2 | +14 | +9.2 | 18 |
| 3 |
Monaco
|
9 | 5 | 2 | 2 | +5 | +5.2 | 17 |
| 4 |
Strasbourg
|
8 | 5 | 1 | 2 | +7 | +6.1 | 16 |
| 5 |
Lens
|
8 | 5 | 1 | 2 | +5 | +3.4 | 16 |
| 6 |
Lyon
|
8 | 5 | 0 | 3 | +3 | +6.5 | 15 |
| 7 |
Lille
|
8 | 4 | 2 | 2 | +6 | +5.3 | 14 |
| 8 |
Toulouse
|
9 | 4 | 1 | 4 | +2 | +0.6 | 13 |
| 9 |
Rennes
|
8 | 2 | 5 | 1 | -1 | -3.2 | 11 |
| 10 |
Nice
|
8 | 3 | 2 | 3 | -2 | -5.5 | 11 |
| 11 |
Paris FC
|
9 | 3 | 1 | 5 | -3 | -2.1 | 10 |
| 12 |
Brest
|
9 | 2 | 3 | 4 | -3 | +0.3 | 9 |
| 13 |
Nantes
|
9 | 2 | 3 | 4 | -3 | -7.5 | 9 |
| 14 |
Lorient
|
8 | 2 | 2 | 4 | -7 | -1.9 | 8 |
| 15 |
Auxerre
|
8 | 2 | 1 | 5 | -5 | -2.8 | 7 |
| 16 |
Le Havre
|
8 | 1 | 3 | 4 | -6 | -1.2 | 6 |
| 17 |
Angers
|
8 | 1 | 3 | 4 | -8 | -7.5 | 6 |
| 18 |
Metz
|
8 | 0 | 2 | 6 | -15 | -10.6 | 2 |
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
J. Gradit
D
R. Aguilar
M
M. Sangare
M
A. Thomasson
M
M. Udol
M
F. Thauvin
F
O. Edouard
F
Coach: Pierre Sage
G. Rulli
G
B. Pavard
D
N. Aguerd
D
Emerson
D
T. Weah
M
M. O'Riley
M
A. Vermeeren
M
M. Murillo
M
M. Greenwood
F
I. Paixao
F
R. Vaz
F
Coach: Roberto De Zerbi
Green columns are the outcomes that came in.
Lens
Paris FC
Auxerre
Lens
Rennes
Lens
Lens
Lille
Paris SG
Lens
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.