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
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: 0–3
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
8 | 6 | 2 | 0 | +17 | +14.3 | 20 |
| 2 |
Monaco
|
8 | 6 | 2 | 0 | +10 | +10.0 | 20 |
| 3 |
Marseille
|
7 | 4 | 2 | 1 | +8 | -1.2 | 14 |
| 4 |
Lille
|
8 | 4 | 2 | 2 | +5 | +3.3 | 14 |
| 5 |
Lens
|
8 | 3 | 5 | 0 | +5 | +4.9 | 14 |
| 6 |
Reims
|
8 | 4 | 2 | 2 | +3 | -3.5 | 14 |
| 7 |
Lyon
|
8 | 4 | 1 | 3 | +2 | +3.8 | 13 |
| 8 |
Nice
|
8 | 2 | 4 | 2 | +8 | +4.2 | 10 |
| 9 |
Nantes
|
8 | 2 | 4 | 2 | +1 | -1.5 | 10 |
| 10 |
Strasbourg
|
8 | 2 | 4 | 2 | +0 | +0.3 | 10 |
| 11 |
Brest
|
8 | 3 | 1 | 4 | -3 | -6.2 | 10 |
| 12 |
Auxerre
|
8 | 3 | 0 | 5 | -5 | -3.3 | 9 |
| 13 |
Rennes
|
8 | 2 | 2 | 4 | +0 | -0.2 | 8 |
| 14 |
St Etienne
|
8 | 2 | 1 | 5 | -14 | -9.4 | 7 |
| 15 |
Toulouse
|
8 | 1 | 3 | 4 | -4 | +5.1 | 6 |
| 16 |
Le Havre
|
8 | 2 | 0 | 6 | -12 | -6.8 | 6 |
| 17 |
Angers
|
8 | 0 | 4 | 4 | -8 | -5.5 | 4 |
| 18 |
Montpellier
|
7 | 1 | 1 | 5 | -13 | -8.3 | 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.
B. Lecomte
G
B. Omeragić
D
J. Chotard
M
R. Nzingoula
M
A. Nordin
M
T. Savanier
M
A. Adams
F
Coach: M. Der Zakarian
G. Rulli
G
L. Balerdi
D
D. Cornelius
D
U. Garcia
D
P. Højbjerg
M
A. Rabiot
M
M. Greenwood
M
A. Harit
M
J. Rowe
M
E. Wahi
F
Coach: R. De Zerbi
Green columns are the outcomes that came in.
Reims
Montpellier
Monaco
Montpellier
Montpellier
Auxerre
Rennes
Montpellier
Montpellier
Nantes
C Turpin · 184 kamper i vår database
🟥 Red cards: 0,20 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.