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: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
16 | 11 | 4 | 1 | +26 | +16.0 | 37 |
| 2 |
Nice
|
16 | 9 | 5 | 2 | +8 | +7.2 | 32 |
| 3 |
Monaco
|
16 | 9 | 3 | 4 | +10 | +5.6 | 30 |
| 4 |
Lille
|
16 | 7 | 7 | 2 | +8 | +6.6 | 28 |
| 5 |
Brest
|
16 | 8 | 4 | 4 | +6 | +2.2 | 28 |
| 6 |
Marseille
|
16 | 7 | 5 | 4 | +7 | +13.0 | 26 |
| 7 |
Lens
|
16 | 7 | 5 | 4 | +6 | +3.4 | 26 |
| 8 |
Reims
|
16 | 7 | 2 | 7 | -2 | +2.3 | 23 |
| 9 |
Strasbourg
|
16 | 5 | 5 | 6 | -5 | -2.7 | 20 |
| 10 |
Le Havre
|
16 | 4 | 7 | 5 | -2 | -6.3 | 19 |
| 11 |
Montpellier
|
16 | 4 | 6 | 6 | -2 | +3.5 | 18 |
| 12 |
Nantes
|
16 | 5 | 3 | 8 | -8 | -7.4 | 18 |
| 13 |
Rennes
|
16 | 3 | 7 | 6 | -1 | +4.0 | 16 |
| 14 |
Metz
|
16 | 4 | 4 | 8 | -9 | -10.1 | 16 |
| 15 |
Toulouse
|
16 | 2 | 8 | 6 | -7 | -10.1 | 14 |
| 16 |
Lyon
|
16 | 3 | 4 | 9 | -12 | -7.2 | 13 |
| 17 |
Lorient
|
16 | 2 | 6 | 8 | -10 | -9.3 | 12 |
| 18 |
Clermont
|
16 | 2 | 5 | 9 | -13 | -10.6 | 11 |
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
E. Tchato
D
B. Omeragić
D
M. Esteve
D
J. Chotard
M
T. Savanier
M
Mousa Tamari
F
A. Adams
F
Coach: M. Der Zakarian
Pau López
G
J. Clauss
D
L. Balerdi
D
A. Murillo
D
A. Ounahi
M
G. Kondogbia
M
I. Ndiaye
F
P. Aubameyang
F
Coach: G. Gattuso
Green columns are the outcomes that came in.
Metz
Montpellier
Montpellier
Lens
Monaco
Montpellier
Montpellier
Clermont
Montpellier
Brest
T Léonard · 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.