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
Montpellier
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: 1–2
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
13 | 9 | 1 | 3 | +24 | 28 |
| 2 |
Marseille
|
12 | 8 | 3 | 1 | +9 | 27 |
| 3 |
Lille
|
13 | 7 | 5 | 1 | +15 | 26 |
| 4 |
Lyon
|
13 | 7 | 5 | 1 | +13 | 26 |
| 5 |
Monaco
|
14 | 7 | 2 | 5 | +5 | 23 |
| 6 |
Montpellier
|
13 | 7 | 2 | 4 | +3 | 23 |
| 7 |
Angers
|
14 | 7 | 2 | 5 | -2 | 23 |
| 8 |
Lens
|
12 | 6 | 3 | 3 | +1 | 21 |
| 9 |
Rennes
|
13 | 5 | 4 | 4 | +1 | 19 |
| 10 |
Bordeaux
|
13 | 5 | 4 | 4 | +0 | 19 |
| 11 |
Nice
|
12 | 5 | 3 | 4 | +1 | 18 |
| 12 |
Brest
|
13 | 6 | 0 | 7 | -3 | 18 |
| 13 |
Metz
|
13 | 4 | 4 | 5 | -1 | 16 |
| 14 |
Nantes
|
13 | 3 | 4 | 6 | -8 | 13 |
| 15 |
St Etienne
|
14 | 3 | 4 | 7 | -8 | 13 |
| 16 |
Nimes
|
13 | 3 | 2 | 8 | -13 | 11 |
| 17 |
Strasbourg
|
13 | 3 | 1 | 9 | -6 | 10 |
| 18 |
Reims
|
13 | 2 | 4 | 7 | -6 | 10 |
| 19 |
Lorient
|
13 | 2 | 2 | 9 | -12 | 8 |
| 20 |
Dijon
|
13 | 1 | 5 | 7 | -13 | 8 |
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. Haïdara
D
J. Clauss
M
L. Badé
D
S. Fofana
M
F. Sotoca
F
A. Muinga
F
Coach: F. Haise
J. Omlin
G
F. Mollet
M
T. Savanier
M
S. Sambia
D
S. Mavididi
F
Coach: M. Der Zakarian
Green columns are the outcomes that came in.
Rennes
Lens
Lens
Angers
Lens
Nantes
Dijon
Lens
Lens
Reims
J Stinat · 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.