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
Clermont
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: 0–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
13 | 9 | 3 | 1 | +23 | +15.2 | 30 |
| 2 |
Nice
|
13 | 8 | 5 | 0 | +10 | +7.8 | 29 |
| 3 |
Monaco
|
13 | 7 | 3 | 3 | +8 | +4.5 | 24 |
| 4 |
Lille
|
13 | 6 | 5 | 2 | +6 | +5.8 | 23 |
| 5 |
Reims
|
13 | 6 | 2 | 5 | +0 | +1.9 | 20 |
| 6 |
Lens
|
13 | 5 | 4 | 4 | +3 | +4.0 | 19 |
| 7 |
Brest
|
12 | 5 | 3 | 4 | +0 | +1.1 | 18 |
| 8 |
Le Havre
|
13 | 3 | 7 | 3 | -1 | -6.8 | 16 |
| 9 |
Metz
|
13 | 4 | 4 | 5 | -5 | -9.1 | 16 |
| 10 |
Rennes
|
13 | 3 | 6 | 4 | +2 | +3.7 | 15 |
| 11 |
Nantes
|
13 | 4 | 3 | 6 | -6 | -5.1 | 15 |
| 12 |
Marseille
|
12 | 3 | 5 | 4 | -1 | +8.3 | 14 |
| 13 |
Montpellier
|
12 | 3 | 4 | 5 | -1 | +2.7 | 13 |
| 14 |
Strasbourg
|
12 | 3 | 4 | 5 | -6 | -3.4 | 13 |
| 15 |
Toulouse
|
13 | 2 | 6 | 5 | -4 | -10.3 | 12 |
| 16 |
Lorient
|
13 | 2 | 5 | 6 | -7 | -8.9 | 11 |
| 17 |
Clermont
|
12 | 2 | 3 | 7 | -9 | -5.7 | 9 |
| 18 |
Lyon
|
12 | 1 | 4 | 7 | -12 | -5.5 | 7 |
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
M. Esteve
D
T. Sainte-Luce
D
B. Omeragić
M
Mousa Tamari
M
T. Savanier
M
A. Adams
F
Coach: M. Der Zakarian
M. Diaw
G
A. Pelmard
D
C. Konaté
M
Neto Borges
M
J. Allevinah
F
Coach: P. Gastien
Green columns are the outcomes that came in.
Montpellier
Brest
Montpellier
Nice
Paris SG
Montpellier
Montpellier
Toulouse
Nantes
Montpellier
M Vernice · 76 kamper i vår database
🟥 Red cards: 0,28 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.