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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Montpellier
Lens
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 | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
10 | 9 | 0 | 1 | +14 | 27 |
| 2 |
Lens
|
9 | 5 | 3 | 1 | +6 | 18 |
| 3 |
Nice
|
9 | 5 | 2 | 2 | +12 | 17 |
| 4 |
Angers
|
10 | 4 | 4 | 2 | +4 | 16 |
| 5 |
Lyon
|
10 | 4 | 4 | 2 | +3 | 16 |
| 6 |
Rennes
|
10 | 4 | 3 | 3 | +6 | 15 |
| 7 |
Marseille
|
8 | 4 | 2 | 2 | +4 | 14 |
| 8 |
Strasbourg
|
10 | 4 | 2 | 4 | +3 | 14 |
| 9 |
Nantes
|
10 | 4 | 2 | 4 | +3 | 14 |
| 10 |
Monaco
|
10 | 4 | 2 | 4 | +1 | 14 |
| 11 |
Lorient
|
9 | 3 | 5 | 1 | +1 | 14 |
| 12 |
Lille
|
10 | 4 | 2 | 4 | -2 | 14 |
| 13 |
Clermont
|
10 | 3 | 4 | 3 | -7 | 13 |
| 14 |
Reims
|
10 | 2 | 5 | 3 | -1 | 11 |
| 15 |
Montpellier
|
9 | 2 | 4 | 3 | +0 | 10 |
| 16 |
Troyes
|
10 | 2 | 3 | 5 | -5 | 9 |
| 17 |
Bordeaux
|
10 | 1 | 5 | 4 | -9 | 8 |
| 18 |
Metz
|
10 | 1 | 3 | 6 | -11 | 6 |
| 19 |
Brest
|
10 | 0 | 5 | 5 | -8 | 5 |
| 20 |
St Etienne
|
10 | 0 | 4 | 6 | -14 | 4 |
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.
J. Omlin
G
N. Cozza
D
M. Esteve
D
F. Mollet
M
T. Savanier
M
S. Sambia
D
J. Chotard
M
S. Mavididi
M
Coach: O. Dall’Oglio
J. Clauss
M
J. Gradit
D
K. Danso
D
S. Fofana
M
P. Frankowski
M
C. Doucouré
M
F. Sotoca
F
A. Kalimuendo-Muinga
F
Coach: F. Haise
Green columns are the outcomes that came in.
Montpellier
Strasbourg
Paris SG
Montpellier
Montpellier
Bordeaux
Troyes
Montpellier
Montpellier
St Etienne
F Batta · 132 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.