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
Paris SG
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
|
17 | 13 | 4 | 0 | +31 | +30.3 | 43 |
| 2 |
Marseille
|
17 | 11 | 3 | 3 | +19 | +3.1 | 36 |
| 3 |
Lille
|
18 | 8 | 8 | 2 | +11 | +5.7 | 32 |
| 4 |
Monaco
|
18 | 9 | 4 | 5 | +9 | +19.0 | 31 |
| 5 |
Nice
|
18 | 8 | 6 | 4 | +11 | +10.9 | 30 |
| 6 |
Lyon
|
17 | 8 | 4 | 5 | +7 | +6.3 | 28 |
| 7 |
Lens
|
17 | 7 | 6 | 4 | +5 | +7.6 | 27 |
| 8 |
Toulouse
|
17 | 7 | 3 | 7 | +0 | +7.7 | 24 |
| 9 |
Strasbourg
|
17 | 6 | 5 | 6 | +1 | -5.2 | 23 |
| 10 |
Auxerre
|
17 | 6 | 4 | 7 | -2 | -9.9 | 22 |
| 11 |
Brest
|
17 | 7 | 1 | 9 | -4 | -10.0 | 22 |
| 12 |
Reims
|
17 | 5 | 5 | 7 | -2 | -6.9 | 20 |
| 13 |
Angers
|
17 | 5 | 4 | 8 | -8 | -3.4 | 19 |
| 14 |
Rennes
|
17 | 5 | 2 | 10 | -2 | +0.7 | 17 |
| 15 |
Nantes
|
17 | 3 | 7 | 7 | -7 | -8.6 | 16 |
| 16 |
St Etienne
|
17 | 5 | 1 | 11 | -21 | -17.9 | 16 |
| 17 |
Le Havre
|
17 | 4 | 0 | 13 | -23 | -14.6 | 12 |
| 18 |
Montpellier
|
18 | 3 | 3 | 12 | -25 | -14.5 | 12 |
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.
H. Koffi
G
P. Frankowski
D
J. Gradit
D
F. Medina
D
F. Sotoca
M
A. Thomasson
M
A. Diouf
M
G. Koyalipou
F
Coach: W. Still
G. Donnarumma
G
Beraldo
D
W. Pacho
D
L. Hernández
D
W. Zaïre-Emery
M
Vitinha
M
Fabián Ruiz
M
Nuno Mendes
M
B. Barcola
F
Lee Kang-In
F
D. Doué
F
Coach: Luis Enrique
Green columns are the outcomes that came in.
Le Havre
Lens
Lens
Toulouse
Lens
Paris SG
Auxerre
Lens
Lens
Montpellier
J Pignard · 145 kamper i vår database
🟥 Red cards: 0,29 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.